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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
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hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44...
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Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. 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else","depth":27,"bounds":{"left":0.25099733,"top":0.36472467,"width":0.061835106,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.25099733,"top":0.36552274,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":21,"bounds":{"left":0.25398937,"top":0.36552274,"width":0.058843084,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"bounds":{"left":0.13364361,"top":0.3830806,"width":0.022606382,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.13397606,"top":0.38387868,"width":0.0026595744,"height":0.014365523}},{"char_start":1,"char_count":7,"bounds":{"left":0.13663563,"top":0.38387868,"width":0.019614361,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"bounds":{"left":0.15591756,"top":0.3830806,"width":0.005984043,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.15625,"top":0.38387868,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":1,"bounds":{"left":0.15890957,"top":0.38387868,"width":0.0029920214,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"bounds":{"left":0.16156915,"top":0.3830806,"width":0.019614361,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.1619016,"top":0.38387868,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":6,"bounds":{"left":0.16456117,"top":0.38387868,"width":0.016954787,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"bounds":{"left":0.18118352,"top":0.3830806,"width":0.0029920214,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"bounds":{"left":0.18384309,"top":0.3830806,"width":0.019946808,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.18417554,"top":0.38387868,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":6,"bounds":{"left":0.18683511,"top":0.38387868,"width":0.016954787,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"bounds":{"left":0.20345744,"top":0.3830806,"width":0.0029920214,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.20611702,"top":0.3830806,"width":0.0029920214,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"bounds":{"left":0.20910904,"top":0.3830806,"width":0.019614361,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.20910904,"top":0.38387868,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":6,"bounds":{"left":0.21210106,"top":0.38387868,"width":0.016954787,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"bounds":{"left":0.2287234,"top":0.3830806,"width":0.0029920214,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"bounds":{"left":0.23138298,"top":0.3830806,"width":0.0029920214,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"bounds":{"left":0.23404256,"top":0.3830806,"width":0.0029920214,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"bounds":{"left":0.23703457,"top":0.3830806,"width":0.0029920214,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.23969415,"top":0.3830806,"width":0.011303191,"height":0.014365523},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"bounds":{"left":0.25099733,"top":0.3830806,"width":0.07014628,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.25099733,"top":0.38387868,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":24,"bounds":{"left":0.25398937,"top":0.38387868,"width":0.06715426,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"bounds":{"left":0.13164894,"top":0.42218676,"width":0.22240691,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.13164894,"top":0.42218676,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":125,"bounds":{"left":0.13164894,"top":0.42218676,"width":0.22240691,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"bounds":{"left":0.20744681,"top":0.44213888,"width":0.04886968,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"bounds":{"left":0.25764626,"top":0.44134077,"width":0.0056515955,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"bounds":{"left":0.26462767,"top":0.44213888,"width":0.04654255,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"bounds":{"left":0.13164894,"top":0.44134077,"width":0.22074468,"height":0.035115723},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"bounds":{"left":0.14527926,"top":0.4612929,"width":0.045877658,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"bounds":{"left":0.1924867,"top":0.46049482,"width":0.0056515955,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"bounds":{"left":0.19946809,"top":0.4612929,"width":0.046210106,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"bounds":{"left":0.24700798,"top":0.46049482,"width":0.0013297872,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"bounds":{"left":0.13164894,"top":0.48922586,"width":0.112034574,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"bounds":{"left":0.24368352,"top":0.48922586,"width":0.019946808,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"bounds":{"left":0.2649601,"top":0.49002394,"width":0.02925532,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"bounds":{"left":0.29554522,"top":0.48922586,"width":0.053856384,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"bounds":{"left":0.13164894,"top":0.48922586,"width":0.2237367,"height":0.035115723},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"bounds":{"left":0.24102394,"top":0.509178,"width":0.023271276,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"bounds":{"left":0.13164894,"top":0.5083799,"width":0.23038563,"height":0.07342378},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"bounds":{"left":0.13164894,"top":0.594573,"width":0.11868351,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"bounds":{"left":0.25166222,"top":0.5953711,"width":0.08344415,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"bounds":{"left":0.13164894,"top":0.594573,"width":0.22739361,"height":0.07342378},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.12898937,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.13962767,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.15026596,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.16090426,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"bounds":{"left":0.12865691,"top":0.72306466,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"bounds":{"left":0.12865691,"top":0.72306466,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"bounds":{"left":0.17087767,"top":0.73423785,"width":0.19680852,"height":0.123703115},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"bounds":{"left":0.32945478,"top":0.87789303,"width":0.009640957,"height":0.012769354},"on_screen":true,"role_description":"text"}]...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
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Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44...
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151386275_m2.jpg...
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Claude
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Retry
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[...
|
[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"bounds":{"left":0.029587766,"top":0.03830806,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Click to collapse","depth":16,"bounds":{"left":0.10239362,"top":0.06703911,"width":0.030585106,"height":0.011971269},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.10239362,"top":0.06703911,"width":0.0029920214,"height":0.011971269}},{"char_start":1,"char_count":16,"bounds":{"left":0.10538564,"top":0.06703911,"width":0.027925532,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"βB","depth":16,"bounds":{"left":0.1349734,"top":0.06703911,"width":0.0063164895,"height":0.011971269},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to 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It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? 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every call, both kinds","depth":27,"bounds":{"left":0.25099733,"top":0.3830806,"width":0.07014628,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.25099733,"top":0.38387868,"width":0.0029920214,"height":0.014365523}},{"char_start":1,"char_count":24,"bounds":{"left":0.25398937,"top":0.38387868,"width":0.06715426,"height":0.014365523}}],"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"bounds":{"left":0.13164894,"top":0.42218676,"width":0.22240691,"height":0.035115723},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.13164894,"top":0.42218676,"width":0.0019946808,"height":0.016759777}},{"char_start":1,"char_count":125,"bounds":{"left":0.13164894,"top":0.42218676,"width":0.22240691,"height":0.035913806}}],"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"bounds":{"left":0.20744681,"top":0.44213888,"width":0.04886968,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"bounds":{"left":0.25764626,"top":0.44134077,"width":0.0056515955,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"bounds":{"left":0.26462767,"top":0.44213888,"width":0.04654255,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":". 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If you see","depth":25,"bounds":{"left":0.13164894,"top":0.48922586,"width":0.2237367,"height":0.035115723},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"bounds":{"left":0.24102394,"top":0.509178,"width":0.023271276,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"bounds":{"left":0.13164894,"top":0.5083799,"width":0.23038563,"height":0.07342378},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"bounds":{"left":0.13164894,"top":0.594573,"width":0.11868351,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"bounds":{"left":0.25166222,"top":0.5953711,"width":0.08344415,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"bounds":{"left":0.13164894,"top":0.594573,"width":0.22739361,"height":0.07342378},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.12898937,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.13962767,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.15026596,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.16090426,"top":0.67917,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"bounds":{"left":0.12865691,"top":0.72306466,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"bounds":{"left":0.12865691,"top":0.72306466,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"bounds":{"left":0.17087767,"top":0.73423785,"width":0.19680852,"height":0.123703115},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"bounds":{"left":0.32945478,"top":0.87789303,"width":0.009640957,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.34175533,"top":0.87150836,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"bounds":{"left":0.35239363,"top":0.87150836,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.36303192,"top":0.87150836,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"bounds":{"left":0.12865691,"top":0.89944136,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"bounds":{"left":0.12865691,"top":0.89944136,"width":0.37134308,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"bounds":{"left":0.13164894,"top":0.9050279,"width":0.24202128,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"bounds":{"left":0.13131648,"top":0.9265762,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"bounds":{"left":0.13164894,"top":0.93296087,"width":0.22706117,"height":0.055067837},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"What \"two buckets per request\" actually costs","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"What \"two buckets per request\" actually costs","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.1306516,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Each request makes","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.050199468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"one round trip to Redis","depth":26,"bounds":{"left":0.1818484,"top":0.9992019,"width":0.057845745,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.21343085,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.36037233,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lua","depth":26,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.0056515955,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[1] = burst bucket key (or search)","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.11735372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[2] = daily bucket key","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.08111702,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[1] = now (ms) ARGV[2] = window_ms","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.14261968,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[3] = bucket_max ARGV[4] = daily_max","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.14261968,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[5] = request_id ARGV[6] = daily_ttl","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.14261968,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- Trim sliding 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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[...
|
2027
|
NULL
|
NULL
|
NULL
|
|
2030
|
96
|
8
|
2026-05-07T10:56:43.320505+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151403320_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
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Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
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lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or
{0, reason, retry_ms}
. No race conditions because Lua is single-threaded inside Redis. No "check then increment" gap that other workers can sneak through.
The math on whether this is heavy
The math on whether this is heavy...
|
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chat","depth":21,"bounds":{"left":0.48537233,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: So just a solution for rate limit implementation.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: So just a solution for rate limit implementation.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating activity (engagement, meeting, call, note)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"searching for a company or contact","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating deal","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"patching IDs\nReview what the limit is at the moment in the HubSpot documentation and then think of the solution:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). 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That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). 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The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. 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This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. 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If your","depth":26,"bounds":{"left":0.14228724,"top":0.84197927,"width":0.20212767,"height":0.037509978},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"bounds":{"left":0.21708776,"top":0.86432564,"width":0.031914894,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"bounds":{"left":0.25033244,"top":0.86352754,"width":0.011635638,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"bounds":{"left":0.2632979,"top":0.86432564,"width":0.04920213,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"bounds":{"left":0.14228724,"top":0.86352754,"width":0.2174202,"height":0.037509978},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"bounds":{"left":0.14361702,"top":0.9066241,"width":0.051861703,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"bounds":{"left":0.19680852,"top":0.90582603,"width":0.09740692,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"bounds":{"left":0.13164894,"top":0.9768556,"width":0.22772606,"height":0.023144424},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.13962767,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.15026596,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.16090426,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"bounds":{"left":0.17087767,"top":0.9992019,"width":0.15724733,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"bounds":{"left":0.18151596,"top":0.9992019,"width":0.122340426,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"bounds":{"left":0.18151596,"top":0.9992019,"width":0.18550532,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"bounds":{"left":0.32945478,"top":0.9992019,"width":0.009640957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.34175533,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"bounds":{"left":0.35239363,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.36303192,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.20611702,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.24202128,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"bounds":{"left":0.13131648,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.1549202,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.11735372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.36037233,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.12034574,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.13131648,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.13131648,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.23005319,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.080119684,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.08743351,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"bounds":{"left":0.21875,"top":0.9992019,"width":0.03324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"bounds":{"left":0.25332448,"top":0.9992019,"width":0.020279255,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22539894,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"bounds":{"left":0.13297872,"top":0.9992019,"width":0.046210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22041224,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.07280585,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22805852,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.046875,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22240691,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.12134308,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.039228722,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.008976064,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.20844415,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.039228722,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.008976064,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"bounds":{"left":0.18982713,"top":0.9992019,"width":0.11668883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.03723404,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"bounds":{"left":0.17918883,"top":0.9992019,"width":0.00930851,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.21110372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.12732713,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"bounds":{"left":0.25864363,"top":0.9992019,"width":0.064494684,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22140957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.08543883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.21210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to 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for search endpoints 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for everything 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every call, both kinds","depth":27,"bounds":{"left":0.25099733,"top":0.9992019,"width":0.07014628,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22240691,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"bounds":{"left":0.20744681,"top":0.9992019,"width":0.04886968,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"bounds":{"left":0.25764626,"top":0.9992019,"width":0.0056515955,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"bounds":{"left":0.26462767,"top":0.9992019,"width":0.04654255,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22074468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"bounds":{"left":0.14527926,"top":0.9992019,"width":0.045877658,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"bounds":{"left":0.1924867,"top":0.9992019,"width":0.0056515955,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"bounds":{"left":0.19946809,"top":0.9992019,"width":0.046210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"bounds":{"left":0.24700798,"top":0.9992019,"width":0.0013297872,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.112034574,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"bounds":{"left":0.24368352,"top":0.9992019,"width":0.019946808,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"bounds":{"left":0.2649601,"top":0.9992019,"width":0.02925532,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"bounds":{"left":0.29554522,"top":0.9992019,"width":0.053856384,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.2237367,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"bounds":{"left":0.24102394,"top":0.9992019,"width":0.023271276,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.23038563,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.11868351,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"bounds":{"left":0.25166222,"top":0.9992019,"width":0.08344415,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22739361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.13962767,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.15026596,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.16090426,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"bounds":{"left":0.17087767,"top":0.9992019,"width":0.19680852,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"bounds":{"left":0.32945478,"top":0.9992019,"width":0.009640957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.34175533,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"bounds":{"left":0.35239363,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.36303192,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.37134308,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.24202128,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"bounds":{"left":0.13131648,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22706117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"What \"two buckets per request\" actually costs","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"What \"two buckets per request\" actually costs","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.1306516,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Each request makes","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.050199468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"one round trip to Redis","depth":26,"bounds":{"left":0.1818484,"top":0.9992019,"width":0.057845745,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.21343085,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.36037233,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lua","depth":26,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.0056515955,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[1] = burst bucket key (or search)","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.11735372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[2] = daily bucket key","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.08111702,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[1] = now (ms) ARGV[2] = window_ms","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.14261968,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[3] = bucket_max ARGV[4] = 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Two keys touched. Returns either","depth":25,"bounds":{"left":0.1662234,"top":0.9992019,"width":0.09541223,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"{1, OK, remaining}","depth":26,"bounds":{"left":0.2629654,"top":0.9992019,"width":0.051861703,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":25,"bounds":{"left":0.31615692,"top":0.9992019,"width":0.00731383,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"{0, reason, retry_ms}","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22805852,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":". No race conditions because Lua is single-threaded inside Redis. No \"check then increment\" gap that other workers can sneak through.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.2237367,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"The math on whether this is heavy","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"The math on whether this is heavy","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.098071806,"height":0.0007980846},"on_screen":true,"role_description":"text"}]...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
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Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
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lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or
{0, reason, retry_ms}
. No race conditions because Lua is single-threaded inside Redis. No "check then increment" gap that other workers can sneak through.
The math on whether this is heavy
The math on whether this is heavy...
|
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|
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|
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2032
|
96
|
9
|
2026-05-07T10:56:47.043399+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151407043_m2.jpg...
|
Claude
|
Claude
|
True
|
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monitor_2
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|
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
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hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'...
|
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What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10:42","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Current HubSpot limits (Apr 2026)","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Current HubSpot limits (Apr 2026)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. 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If your","depth":26,"bounds":{"left":0.14228724,"top":0.67917,"width":0.20212767,"height":0.037509978},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"bounds":{"left":0.21708776,"top":0.7015164,"width":0.031914894,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"bounds":{"left":0.25033244,"top":0.7007183,"width":0.011635638,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"bounds":{"left":0.2632979,"top":0.7015164,"width":0.04920213,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"bounds":{"left":0.14228724,"top":0.7007183,"width":0.2174202,"height":0.037509978},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"bounds":{"left":0.14361702,"top":0.7438148,"width":0.051861703,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"bounds":{"left":0.19680852,"top":0.7430168,"width":0.09740692,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"bounds":{"left":0.13164894,"top":0.782921,"width":0.22772606,"height":0.035115723},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.12898937,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.13962767,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.15026596,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.16090426,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"bounds":{"left":0.12865691,"top":0.8731046,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"bounds":{"left":0.12865691,"top":0.8731046,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"bounds":{"left":0.17087767,"top":0.88427776,"width":0.15724733,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"bounds":{"left":0.18151596,"top":0.9082203,"width":0.122340426,"height":0.016759777},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"bounds":{"left":0.18151596,"top":0.9265762,"width":0.18550532,"height":0.06943336},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"bounds":{"left":0.32945478,"top":0.9992019,"width":0.009640957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.34175533,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"bounds":{"left":0.35239363,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.36303192,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.20611702,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.24202128,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"bounds":{"left":0.13131648,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.1549202,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.11735372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.36037233,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.12034574,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.13131648,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.13131648,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.23005319,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.080119684,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.08743351,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"bounds":{"left":0.21875,"top":0.9992019,"width":0.03324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"bounds":{"left":0.25332448,"top":0.9992019,"width":0.020279255,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22539894,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"bounds":{"left":0.13297872,"top":0.9992019,"width":0.046210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22041224,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.07280585,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22805852,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.046875,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22240691,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.12134308,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.039228722,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.008976064,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.20844415,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.039228722,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.008976064,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"bounds":{"left":0.18982713,"top":0.9992019,"width":0.11668883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.03723404,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"bounds":{"left":0.17918883,"top":0.9992019,"width":0.00930851,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.21110372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.12732713,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"bounds":{"left":0.25864363,"top":0.9992019,"width":0.064494684,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22140957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.08543883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.21210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.36037233,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.0076462766,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.022606382,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"bounds":{"left":0.15591756,"top":0.9992019,"width":0.005984043,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"bounds":{"left":0.16156915,"top":0.9992019,"width":0.019614361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"bounds":{"left":0.18384309,"top":0.9992019,"width":0.022606382,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"bounds":{"left":0.20611702,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.20910904,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"bounds":{"left":0.21176861,"top":0.9992019,"width":0.019946808,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"bounds":{"left":0.23138298,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"bounds":{"left":0.23404256,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"bounds":{"left":0.23703457,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"bounds":{"left":0.23969415,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.24268617,"top":0.9992019,"width":0.00831117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"bounds":{"left":0.25099733,"top":0.9992019,"width":0.078457445,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.022606382,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"bounds":{"left":0.15591756,"top":0.9992019,"width":0.005984043,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"bounds":{"left":0.16156915,"top":0.9992019,"width":0.019614361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"bounds":{"left":0.18384309,"top":0.9992019,"width":0.019946808,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"bounds":{"left":0.20345744,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.20611702,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"bounds":{"left":0.20910904,"top":0.9992019,"width":0.019614361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"bounds":{"left":0.2287234,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"bounds":{"left":0.23138298,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"bounds":{"left":0.23404256,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"bounds":{"left":0.23703457,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.23969415,"top":0.9992019,"width":0.011303191,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"bounds":{"left":0.25099733,"top":0.9992019,"width":0.061835106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.022606382,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"bounds":{"left":0.15591756,"top":0.9992019,"width":0.005984043,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"bounds":{"left":0.16156915,"top":0.9992019,"width":0.019614361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"bounds":{"left":0.18384309,"top":0.9992019,"width":0.019946808,"height":0.0007980846},"on_screen":true,"role_description":"text"}]...
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HubSpot rate limit implementation strategy
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'...
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151407916_m2.jpg...
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HubSpot rate limit implementation strategy, rename chat
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More options for HubSpot rate limit implementation strategy
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
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Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
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Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck....
|
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strategy","depth":21,"bounds":{"left":0.04454787,"top":0.031923383,"width":0.09507979,"height":0.014365523},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.04454787,"top":0.031923383,"width":0.003656915,"height":0.014365523}},{"char_start":1,"char_count":41,"bounds":{"left":0.048204787,"top":0.031923383,"width":0.09142287,"height":0.014365523}}],"role_description":"text"},{"role":"AXPopUpButton","text":"More options for HubSpot rate limit implementation strategy","depth":19,"bounds":{"left":0.14128989,"top":0.02793296,"width":0.0066489363,"height":0.022346368},"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share chat","depth":21,"bounds":{"left":0.48537233,"top":0.026336791,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude finished the response","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: So just a solution for rate limit implementation.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: So just a solution for rate limit implementation.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating activity (engagement, meeting, call, note)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"searching for a company or contact","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating deal","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"patching IDs\nReview what the limit is at the moment in the HubSpot documentation and then think of the solution:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10:42","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Current HubSpot limits (Apr 2026)","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Current HubSpot limits (Apr 2026)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. 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If your","depth":26,"bounds":{"left":0.14228724,"top":0.67917,"width":0.20212767,"height":0.037509978},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"bounds":{"left":0.21708776,"top":0.7015164,"width":0.031914894,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"bounds":{"left":0.25033244,"top":0.7007183,"width":0.011635638,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"bounds":{"left":0.2632979,"top":0.7015164,"width":0.04920213,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"bounds":{"left":0.14228724,"top":0.7007183,"width":0.2174202,"height":0.037509978},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"bounds":{"left":0.14361702,"top":0.7438148,"width":0.051861703,"height":0.015163607},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"bounds":{"left":0.19680852,"top":0.7430168,"width":0.09740692,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"bounds":{"left":0.13164894,"top":0.782921,"width":0.22772606,"height":0.035115723},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.12898937,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.13962767,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.15026596,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.16090426,"top":0.8292099,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"bounds":{"left":0.12865691,"top":0.8731046,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"bounds":{"left":0.12865691,"top":0.8731046,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"bounds":{"left":0.17087767,"top":0.88427776,"width":0.15724733,"height":0.015961692},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"bounds":{"left":0.18151596,"top":0.9082203,"width":0.122340426,"height":0.016759777},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? 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Can I still continue making search requests once I hit the normal requests limits?","depth":25,"bounds":{"left":0.18151596,"top":0.9265762,"width":0.18550532,"height":0.06943336},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"bounds":{"left":0.32945478,"top":0.9992019,"width":0.009640957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.34175533,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"bounds":{"left":0.35239363,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.36303192,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.20611702,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.24202128,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"bounds":{"left":0.13131648,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.1549202,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.11735372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"bounds":{"left":0.36037233,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.12034574,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.13131648,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.13131648,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.19581117,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.23005319,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.080119684,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.08743351,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"bounds":{"left":0.21875,"top":0.9992019,"width":0.03324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"bounds":{"left":0.25332448,"top":0.9992019,"width":0.020279255,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22539894,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"bounds":{"left":0.13297872,"top":0.9992019,"width":0.046210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22041224,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.07280585,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22805852,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.046875,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22240691,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.12134308,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.039228722,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.008976064,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.20844415,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.039228722,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.008976064,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"bounds":{"left":0.18982713,"top":0.9992019,"width":0.11668883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.03723404,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"bounds":{"left":0.17918883,"top":0.9992019,"width":0.00930851,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"bounds":{"left":0.14228724,"top":0.9992019,"width":0.21110372,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.12732713,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"bounds":{"left":0.25864363,"top":0.9992019,"width":0.064494684,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22140957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.24468085,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.08543883,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.21210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy to 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for search endpoints 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for everything else","depth":27,"bounds":{"left":0.25099733,"top":0.9992019,"width":0.061835106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"bounds":{"left":0.13364361,"top":0.9992019,"width":0.022606382,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"bounds":{"left":0.15591756,"top":0.9992019,"width":0.005984043,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"bounds":{"left":0.16156915,"top":0.9992019,"width":0.019614361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"bounds":{"left":0.18118352,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"bounds":{"left":0.18384309,"top":0.9992019,"width":0.019946808,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"bounds":{"left":0.20345744,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.20611702,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"bounds":{"left":0.20910904,"top":0.9992019,"width":0.019614361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"bounds":{"left":0.2287234,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"bounds":{"left":0.23138298,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"bounds":{"left":0.23404256,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"bounds":{"left":0.23703457,"top":0.9992019,"width":0.0029920214,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"bounds":{"left":0.23969415,"top":0.9992019,"width":0.011303191,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"bounds":{"left":0.25099733,"top":0.9992019,"width":0.07014628,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22240691,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"bounds":{"left":0.20744681,"top":0.9992019,"width":0.04886968,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"bounds":{"left":0.25764626,"top":0.9992019,"width":0.0056515955,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"bounds":{"left":0.26462767,"top":0.9992019,"width":0.04654255,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22074468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"bounds":{"left":0.14527926,"top":0.9992019,"width":0.045877658,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"bounds":{"left":0.1924867,"top":0.9992019,"width":0.0056515955,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"bounds":{"left":0.19946809,"top":0.9992019,"width":0.046210106,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"bounds":{"left":0.24700798,"top":0.9992019,"width":0.0013297872,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.112034574,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"bounds":{"left":0.24368352,"top":0.9992019,"width":0.019946808,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"bounds":{"left":0.2649601,"top":0.9992019,"width":0.02925532,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"bounds":{"left":0.29554522,"top":0.9992019,"width":0.053856384,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.2237367,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"bounds":{"left":0.24102394,"top":0.9992019,"width":0.023271276,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.23038563,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.11868351,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"bounds":{"left":0.25166222,"top":0.9992019,"width":0.08344415,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22739361,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.12898937,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"bounds":{"left":0.13962767,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"bounds":{"left":0.15026596,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.16090426,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"bounds":{"left":0.17087767,"top":0.9992019,"width":0.19680852,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"bounds":{"left":0.32945478,"top":0.9992019,"width":0.009640957,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"bounds":{"left":0.34175533,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"bounds":{"left":0.35239363,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"bounds":{"left":0.36303192,"top":0.9992019,"width":0.010638298,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"bounds":{"left":0.12865691,"top":0.9992019,"width":0.37134308,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.24202128,"height":0.0007980846},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"bounds":{"left":0.13131648,"top":0.9992019,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"bounds":{"left":0.13164894,"top":0.9992019,"width":0.22706117,"height":0.0007980846},"on_screen":true,"role_description":"text"}]...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck....
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HubSpot rate limit implementation strategy, rename chat
HubSpot rate limit implementation strategy
More options for HubSpot rate limit implementation strategy
Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or
{0, reason, retry_ms}
. No race conditions because Lua is single-threaded inside Redis. No "check then increment" gap that other workers can sneak through.
The math on whether this is heavy
The math on whether this is heavy
For your 100,000 requests, with 100 PATCHes batched into 1 batch_update call per 100 deals, you're realistically making more like
1,000β2,000 actual API calls
(assuming you're using
/batch/update
and
/batch/read
properly). But let's pretend you really make all 100k....
|
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The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. 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Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? 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Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. 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No \"check then increment\" gap that other workers can sneak through.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The math on whether this is heavy","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The math on whether this is heavy","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your 100,000 requests, with 100 PATCHes batched into 1 batch_update call per 100 deals, you're realistically making more like","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1,000β2,000 actual API calls","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(assuming you're using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/batch/update","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/batch/read","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"properly). But let's pretend you really make all 100k.","depth":25,"on_screen":false,"role_description":"text"}]...
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HubSpot rate limit implementation strategy, rename chat
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or
{0, reason, retry_ms}
. No race conditions because Lua is single-threaded inside Redis. No "check then increment" gap that other workers can sneak through.
The math on whether this is heavy
The math on whether this is heavy
For your 100,000 requests, with 100 PATCHes batched into 1 batch_update call per 100 deals, you're realistically making more like
1,000β2,000 actual API calls
(assuming you're using
/batch/update
and
/batch/read
properly). But let's pretend you really make all 100k....
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HubSpot rate limit implementation strategy, rename chat
HubSpot rate limit implementation strategy
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or...
|
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collapse","depth":16,"bounds":{"left":0.10239362,"top":0.06703911,"width":0.030585106,"height":0.011971269},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.10239362,"top":0.06703911,"width":0.0029920214,"height":0.011971269}},{"char_start":1,"char_count":16,"bounds":{"left":0.10538564,"top":0.06703911,"width":0.027925532,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"βB","depth":16,"bounds":{"left":0.1349734,"top":0.06703911,"width":0.0063164895,"height":0.011971269},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to 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sidebar","depth":14,"bounds":{"left":0.029920213,"top":0.02793296,"width":0.00930851,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Chat","depth":16,"bounds":{"left":0.004986702,"top":0.059856344,"width":0.025930852,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cowork","depth":16,"bounds":{"left":0.03158245,"top":0.059856344,"width":0.03125,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code","depth":16,"bounds":{"left":0.0631649,"top":0.059856344,"width":0.026928192,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New 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The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. 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Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. 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HubSpot rate limit implementation strategy, rename chat
HubSpot rate limit implementation strategy
More options for HubSpot rate limit implementation strategy
Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
2039
|
96
|
13
|
2026-05-07T10:58:04.987528+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151484987_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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HubSpot rate limit implementation strategy
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
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lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1...
|
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What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). 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The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. 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This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. 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Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What \"two buckets per request\" actually costs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What \"two buckets per request\" actually costs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each request makes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"one round trip to Redis","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to 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HubSpot rate limit implementation strategy, rename chat
HubSpot rate limit implementation strategy
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1...
|
2037
|
NULL
|
NULL
|
NULL
|
|
2040
|
96
|
14
|
2026-05-07T10:58:14.050882+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151494050_m2.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-...
|
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At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. 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HubSpot rate limit implementation strategy, rename chat
HubSpot rate limit implementation strategy
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
2045
|
97
|
0
|
2026-05-07T10:58:49.615535+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151529615_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Retry
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[...
|
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The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating activity (engagement, meeting, call, note)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"searching for a company or contact","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating deal","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"patching IDs\nReview what the limit is at the moment in the HubSpot documentation and then think of the solution:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10:42","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Current HubSpot limits (Apr 2026)","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Current HubSpot limits (Apr 2026)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. 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Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. 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Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. 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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
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Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[...
|
2041
|
NULL
|
NULL
|
NULL
|
|
2047
|
97
|
1
|
2026-05-07T10:59:19.999861+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151559999_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Edit
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
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lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or
{0, reason, retry_ms}
. No race conditions because Lua is single-threaded inside Redis. No "check then increment" gap that other workers can sneak through.
The math on whether this is heavy
The math on whether this is heavy
For your 100,000 requests, with 100 PATCHes batched into 1 batch_update call per 100 deals, you're realistically making more like
1,000β2,000 actual API calls
(assuming you're using
/batch/update
and
/batch/read
properly). But let's pretend you really make all 100k.
At HubSpot's ceiling of ~240 calls/sec across both buckets, 100k calls take roughly
7 minutes
of wall time. That means:
Redis ops/sec:
~240. A laptop-grade Redis instance handles 50,000+. You're using under half a percent.
Per-request overhead:
~0.3β1.0 ms for an
EVALSHA
against local-network Redis.
Per HubSpot call:
80β400 ms typical latency.
So the limiter adds something like
0.3% to each request's wall time
. The rate limit itself is forcing you to wait 4β40 ms between calls anyway; adding 0.5 ms of bookkeeping is invisible.
This is a pattern worth internalizing:...
|
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It can be:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating activity (engagement, meeting, call, note)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"searching for a company or contact","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating deal","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"patching IDs\nReview what the limit is at the moment in the HubSpot documentation and then think of the solution:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10:42","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Current HubSpot limits (Apr 2026)","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Current HubSpot limits (Apr 2026)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. 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Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What \"two buckets per request\" actually costs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What \"two buckets per request\" actually costs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each request makes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"one round trip to Redis","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to 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Two keys touched. Returns either","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"{1, OK, remaining}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"{0, reason, retry_ms}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". No race conditions because Lua is single-threaded inside Redis. No \"check then increment\" gap that other workers can sneak through.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The math on whether this is heavy","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The math on whether this is heavy","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For your 100,000 requests, with 100 PATCHes batched into 1 batch_update call per 100 deals, you're realistically making more like","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1,000β2,000 actual API calls","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(assuming you're using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/batch/update","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/batch/read","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"properly). But let's pretend you really make all 100k.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"At HubSpot's ceiling of ~240 calls/sec across both buckets, 100k calls take roughly","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"7 minutes","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of wall time. That means:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis ops/sec:","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240. A laptop-grade Redis instance handles 50,000+. You're using under half a percent.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-request overhead:","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~0.3β1.0 ms for an","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EVALSHA","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"against local-network Redis.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per HubSpot call:","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"80β400 ms typical latency.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So the limiter adds something like","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"0.3% to each request's wall time","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The rate limit itself is forcing you to wait 4β40 ms between calls anyway; adding 0.5 ms of bookkeeping is invisible.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This is a pattern worth internalizing:","depth":25,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
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hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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Give positive feedback
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Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2
]
)
local
burst_used
=
redis
.
call
(
'ZCARD'
,
KEYS
[
1
]
)
local
daily_used
=
tonumber
(
redis
.
call
(
'GET'
,
KEYS
[
2
]
)
or
'0'
)
if
burst_used
>=
tonumber
(
ARGV
[
3
]
)
then
-- Tell caller how long to sleep until oldest entry expires
local
oldest
=
redis
.
call
(
'ZRANGE'
,
KEYS
[
1
]
,
0
,
0
,
'WITHSCORES'
)
return
{
0
,
'BURST'
,
(
oldest
[
2
]
+
ARGV
[
2
]
)
-
ARGV
[
1
]
}
end
if
daily_used
>=
tonumber
(
ARGV
[
4
]
)
then
return
{
0
,
'DAILY'
,
-
1
}
end
redis
.
call
(
'ZADD'
,
KEYS
[
1
]
,
ARGV
[
1
]
,
ARGV
[
5
]
)
redis
.
call
(
'PEXPIRE'
,
KEYS
[
1
]
,
ARGV
[
2
]
+
1000
)
local
d
=
redis
.
call
(
'INCR'
,
KEYS
[
2
]
)
if
d
==
1
then
redis
.
call
(
'EXPIRE'
,
KEYS
[
2
]
,
ARGV
[
6
]
)
end
return
{
1
,
'OK'
,
tonumber
(
ARGV
[
3
]
)
-
burst_used
-
1
}
One
EVALSHA
call. Two keys touched. Returns either
{1, OK, remaining}
or
{0, reason, retry_ms}
. No race conditions because Lua is single-threaded inside Redis. No "check then increment" gap that other workers can sneak through.
The math on whether this is heavy
The math on whether this is heavy
For your 100,000 requests, with 100 PATCHes batched into 1 batch_update call per 100 deals, you're realistically making more like
1,000β2,000 actual API calls
(assuming you're using
/batch/update
and
/batch/read
properly). But let's pretend you really make all 100k.
At HubSpot's ceiling of ~240 calls/sec across both buckets, 100k calls take roughly
7 minutes
of wall time. That means:
Redis ops/sec:
~240. A laptop-grade Redis instance handles 50,000+. You're using under half a percent.
Per-request overhead:
~0.3β1.0 ms for an
EVALSHA
against local-network Redis.
Per HubSpot call:
80β400 ms typical latency.
So the limiter adds something like
0.3% to each request's wall time
. The rate limit itself is forcing you to wait 4β40 ms between calls anyway; adding 0.5 ms of bookkeeping is invisible.
This is a pattern worth internalizing:...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zshallSupport Daily - in 1h 1 mA100% <478Thu 7 May 13:59:50181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zshallSupport Daily - in 1h 1 mA100% <478Thu 7 May 13:59:50181-zshβ’ 84|screenpipe*β’$5-zsh...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit...
|
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Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
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hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
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Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
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ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
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php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zshallSupport Daily - in 1h 1 mA100% <478Thu 7 May 13:59:58T81-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zshallSupport Daily - in 1h 1 mA100% <478Thu 7 May 13:59:58T81-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zshallSupport Daily - in 1h 1 mA100% <478Thu 7 May 13:59:59T81-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zshallSupport Daily - in 1h 1 mA100% <478Thu 7 May 13:59:59T81-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah)= Support Daily β’ in 1 hA100% <478Thu 7 May 14:00:01181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah)= Support Daily β’ in 1 hA100% <478Thu 7 May 14:00:01181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah)= Support Daily β’ in 1 hA100% <478Thu 7 May 14:00:03181-zshβ’ 84|screenpipe*β’β΄5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah)= Support Daily β’ in 1 hA100% <478Thu 7 May 14:00:03181-zshβ’ 84|screenpipe*β’β΄5-zsh...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
Retry
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Retry
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua...
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The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating activity (engagement, meeting, call, note)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"searching for a company or contact","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating deal","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"patching IDs\nReview what the limit is at the moment in the HubSpot documentation and then think of the solution:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10:42","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Current HubSpot limits (Apr 2026)","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Current HubSpot limits (Apr 2026)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What \"two buckets per request\" actually costs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What \"two buckets per request\" actually costs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each request makes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"one round trip to Redis","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lua","depth":26,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
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Retry
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Retry
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
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You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
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Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
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lua...
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2026-05-07T11:00:25.585950+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151625585_m1.jpg...
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Claude
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Claude
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting...
|
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Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting...
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151650917_m1.jpg...
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Claude
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]...
|
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rate limit implementation strategy","depth":21,"on_screen":true,"role_description":"text"},{"role":"AXPopUpButton","text":"More options for HubSpot rate limit implementation strategy","depth":19,"on_screen":true,"role_description":"pop-up button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Claude is responding","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"You said: So just a solution for rate limit implementation.","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: So just a solution for rate limit implementation.","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating activity (engagement, meeting, call, note)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"searching for a company or contact","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating deal","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"patching IDs\nReview what the limit is at the moment in the HubSpot documentation and then think of the solution:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10:42","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Current HubSpot limits (Apr 2026)","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Current HubSpot limits (Apr 2026)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What \"two buckets per request\" actually costs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What \"two buckets per request\" actually costs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each request makes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"one round trip to Redis","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lua","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[1] = burst bucket key (or search)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[2] = daily bucket key","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[1] = now (ms) ARGV[2] = window_ms","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[3] = bucket_max ARGV[4] = daily_max","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[5] = request_id ARGV[6] = daily_ttl","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- Trim sliding window","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"call","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'ZREMRANGEBYSCORE'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"KEYS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"[","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"]","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ARGV","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"[","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"]","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"}]...
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]...
|
2066
|
NULL
|
NULL
|
NULL
|
|
2074
|
97
|
11
|
2026-05-07T11:00:56.619504+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151656619_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
Show more
10:42
Edit
Copy
Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2...
|
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The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating activity (engagement, meeting, call, note)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"searching for a company or contact","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"updating deal","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"patching IDs\nReview what the limit is at the moment in the HubSpot documentation and then think of the solution:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":25,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). Example of such a error Client error:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST https://api.hubapi.com/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"resulted in a","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"429 Too Many Requests","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"response: {\"status\":\"error\",\"message\":\"You have reached your secondly limit.\",\"errorType\":\"RATE_LIMIT\",\"correlationId\":\"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10:42","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Current HubSpot limits (Apr 2026)","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Current HubSpot limits (Apr 2026)","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Current HubSpot limits (Apr 2026)","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The burst window is per app; the daily quota is per portal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". That's the limit the 429 in your example is hitting (","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"secondly limit","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/crm/v3/objects/contact/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). It's a separate bucket from the 190/10s, and critically, search responses do not include the","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-*","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"headers","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β you can't read remaining capacity off the response, you have to track it yourself.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search endpoints return","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". The daily headers are not returned for OAuth-authenticated calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β that's enforced for marketplace listing, but it's also a sane operational target.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"hubspot","depth":26,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"So you have","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"four buckets","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Where to store it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Where to store it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"EXPIRE","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"plus Lua scripting for true CAS semantics.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Key layout I'd use:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:search:{portalId} ZSET (sliding 1s)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId} HASH (last seen headers)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The two short-window buckets are sliding-window-log (Redis ZSET, score =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"microtime","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The daily bucket is a plain","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INCR","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with TTL set to seconds-until-midnight in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubSpot's account timezone","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to read it","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to read it","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two-phase: optimistic pre-check, authoritative post-update.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Before a call, run the Lua acquire script. If it returns \"denied,\" sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"After the call, parse","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Max","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-Interval-Milliseconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and store them in","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot:rl:meta:{portalId}","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"For search specifically, since headers don't come back, the local counter","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"not","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"on 429 (you really did make that request).","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with multiple jobs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with multiple jobs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Concurrency cap","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"via","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Queue::throttle()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Per-tenant fairness","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Priority lanes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-priority","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hubspot-bulk","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Backoff on 429","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β respect the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"header. If absent, exponential with jitter (e.g.,","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"min(2^attempt * 250ms, 30s) Β± 20%","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to work with paginated requests","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to work with paginated requests","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The trap is treating \"fetch all\" as one logical operation. Each page is its own API call and competes for tokens with everything else.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two practical rules:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Don't hold the worker idle while paginating.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"processing","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"of page N as a separate job, and queue a \"fetch page N+1\" job with a delay equal to the wait time. Each page becomes its own atomic unit.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Always batch where HubSpot offers it.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/{type}/batch/{read|update|create}","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"accepts up to 100 IDs per call. For your \"patching IDs\" flow this is the difference between 600 calls and 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Walkthrough: 600 opportunities","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Walkthrough: 600 opportunities","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Sane flow:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Identify deltas","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β if you can avoid Search at all, do. Use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"current state β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/read","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 IDs per call β 6 calls. Burst weight 6.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Compute diff","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in your code (no API).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Batch update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v3/objects/deals/batch/update","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with 100 per call β 6 calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Associations","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /crm/v4/associations/{from}/{to}/batch/create","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"if needed β another few batch calls.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Recognition: pre-check denies if","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"<weight>","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"slots aren't free; on 429 the response surfaces","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(DAILY/SECONDLY) β log it, push the job back with","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry-After","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"delay, increment a metric so you can alarm on sustained 429 rate.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Pitfalls & bottlenecks worth pre-empting","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Pitfalls & bottlenecks worth pre-empting","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Daily quota is shared across the whole portal","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search is uniquely fragile","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"hs_object_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ranges or by","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"windows.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Retry storms after HubSpot incidents","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Webhook β sync β webhook loops","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"jy_last_sync_id","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":") and ignore webhooks where it just changed.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Token refresh","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"expires_in - 60s","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", single-flight the refresh (only one worker refreshes; others wait on a lock).","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search latency for fresh writes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Clock skew","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β Redis is authoritative. Don't use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"time()","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from each worker for window scoring; use","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis.call('TIME')","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inside the Lua script.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Dead workers with held tokens","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The 5% error rule","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Phantom contention with Laravel","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"RateLimited","depth":28,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"middleware","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":": it's per-job-class by default, not per-portal. If your","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SyncDealJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"UpdateActivityJob","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"HubspotRateLimiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"service that everything routes through.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: What will happen if there are two different types of rate limits?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: What will happen if there are two different types of rate limits?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"What will happen if there are two different types of rate limits?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search requests that have 5 requests per second","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:40","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: They're independent buckets β with one shared bucket on top.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed independent rate limit buckets and their practical interactions","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed independent rate limit buckets and their practical interactions","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"They're independent buckets β with one shared bucket on top.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The three buckets and what each call hits","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The three buckets and what each call hits","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ββββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search request βββ β Search: 5/sec β βββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ β β Daily: 250kβ1M β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Non-search call βββ β Burst: 190/10s β βββ β (per portal) β","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ββββββββββββββββββββ βββββββββββββββββββ","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What this means practically","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What this means practically","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting search secondly limit (5/s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only further","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/search","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lastmodifieddate","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting burst limit (190/10s):","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Hitting daily limit:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"So can one type of request block the other?","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"So can one type of request block the other?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Search β Burst:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Burst β Search:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"No.","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Saturating burst leaves Search's 5/s untouched.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Either β Daily:","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but only by contributing to the same daily counter. It's volume that kills you here, not the type.","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In theory you can sustain ~50 search + ~190 other =","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"~240 calls per 10 seconds","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"indefinitely (until daily runs out), because the two buckets bill independently.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"Implementation consequence","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Implementation consequence","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"php","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'search'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for search endpoints only","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'burst'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// for everything else","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$limiter","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"->","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'daily'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"$weight","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":")","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":";","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"// every call, both kinds","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('search')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". A batch update calls","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('burst')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"+","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"acquire('daily')","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"One subtle pitfall: when you backoff on a 429,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"inspect","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"policyName","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"in the response body","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to know which bucket actually fired. If you see","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SECONDLY","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The other subtlety: the burst response gives you","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"X-HubSpot-RateLimit-Remaining","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give positive feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Give negative feedback","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"You said: Ok, so what will happen each time I make a request?","depth":20,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"You said: Ok, so what will happen each time I make a request?","depth":21,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"13:44","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Analyzed per-request overhead concerns and quantified Redis performance impact","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What \"two buckets per request\" actually costs","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What \"two buckets per request\" actually costs","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each request makes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"one round trip to Redis","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lua","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[1] = burst bucket key (or search)","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- KEYS[2] = daily bucket key","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[1] = now (ms) ARGV[2] = window_ms","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[3] = bucket_max ARGV[4] = daily_max","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- ARGV[5] = request_id ARGV[6] = daily_ttl","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-- Trim sliding window","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"redis","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"call","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"'ZREMRANGEBYSCORE'","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"KEYS","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"[","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"]","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":",","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ARGV","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"[","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"]","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"-","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ARGV","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"[","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":27,"on_screen":false,"role_description":"text"}]...
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HubSpot rate limit implementation strategy, rename chat
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Claude is responding
You said: So just a solution for rate limit implementation.
You said: So just a solution for rate limit implementation.
So just a solution for rate limit implementation. The situation currently is that there are some daily and secondary limits for HubSpot. I would like to make sure I never reach a 429 error rate limit. The requests can come from any flow. It can be:
updating activity (engagement, meeting, call, note)
searching for a company or contact
updating deal
patching IDs
Review what the limit is at the moment in the HubSpot documentation and then think of the solution:
where to store it
how to read it
how to work with multiple jobs
how to work with paginated requests Let's consider a situation when there are 600 opportunities to sync. What would be the flow? How would the rate limit be recognized? How would it be handled? What are the potential issues? [API usage guidelines and limits - HubSpot docs](
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
https://developers.hubspot.com/docs/developer-tooling/platform/usage-guidelines
). Example of such a error Client error:
POST https://api.hubapi.com/crm/v3/objects/contact/search
resulted in a
429 Too Many Requests
response: {"status":"error","message":"You have reached your secondly limit.","errorType":"RATE_LIMIT","correlationId":"019dffc4-4 (truncated...). Think carefully about the implementation and potential issue and bottlenecks.
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Claude responded: Current HubSpot limits (Apr 2026)
Claude responded: Current HubSpot limits (Apr 2026)
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Synthesized HubSpot rate limit architecture with Redis storage and sliding window algorithms
Current HubSpot limits (Apr 2026)
Current HubSpot limits (Apr 2026)
For privately distributed apps (which is what Jiminny presumably uses with HubSpot), the limits are layered: a per-app burst window of 100/10s on Free/Starter, 190/10s on Pro/Enterprise, or 250/10s with the API Limit Increase add-on
, plus a per-account daily cap of 250k / 625k / 1M depending on tier β shared across all private apps in the account
. The burst window is per app; the daily quota is per portal.
hubspot
hubspot
hubspot
hubspot
The Search API is special: five requests per second per account, capped at 200 records per page, with a hard 10,000-result ceiling per query
. That's the limit the 429 in your example is hitting (
secondly limit
on
/crm/v3/objects/contact/search
). It's a separate bucket from the 190/10s, and critically, search responses do not include the
X-HubSpot-RateLimit-*
headers
β you can't read remaining capacity off the response, you have to track it yourself.
hubspot
hubspot
hubspot
hubspot
Non-search endpoints return
X-HubSpot-RateLimit-Remaining
,
-Max
, and
-Interval-Milliseconds
. The daily headers are not returned for OAuth-authenticated calls
, so for those you check the account-info endpoint or maintain your own counter. There's also a soft rule: errors should stay under 5% of total daily requests
β that's enforced for marketplace listing, but it's also a sane operational target.
hubspot
hubspot
hubspot
hubspot
So you have
four buckets
to track at minimum: app-burst (10s sliding), search-secondly (1s sliding), account-daily (24h fixed, midnight in HubSpot's TZ), and per-app daily share (your own budgeting on top of the account cap).
Where to store it
Where to store it
Redis. It's the only realistic option once you have multiple queue workers β DB-backed counters serialize too much, and in-process state can't coordinate across workers. Laravel already speaks Redis natively, and you get atomic
INCR
/
EXPIRE
plus Lua scripting for true CAS semantics.
Key layout I'd use:
Copy to clipboard
hubspot:rl:burst:{portalId}:{appId} ZSET (sliding 10s)
hubspot:rl:search:{portalId} ZSET (sliding 1s)
hubspot:rl:daily:{portalId} STRING + TTL to midnight TZ
hubspot:rl:meta:{portalId} HASH (last seen headers)
The two short-window buckets are sliding-window-log (Redis ZSET, score =
microtime
, member = unique request id). Lua script removes entries older than the window, counts remaining slots, and only adds the new one if there's room β all atomic. Fixed windows are simpler but allow 2Γ the limit at the boundary, which on a 5/s window is brutal.
The daily bucket is a plain
INCR
with TTL set to seconds-until-midnight in
HubSpot's account timezone
, not yours β Sofia is UTC+2/+3 but your portal might be set to US Eastern. Get this once and cache it.
How to read it
How to read it
Two-phase: optimistic pre-check, authoritative post-update.
Before a call, run the Lua acquire script. If it returns "denied," sleep until a slot frees up (the script can return ms-until-next-slot) or push the job back to the queue with a delay. Don't busy-loop.
After the call, parse
X-HubSpot-RateLimit-Remaining
/
-Max
/
-Interval-Milliseconds
and store them in
hubspot:rl:meta:{portalId}
. This is your reality check β if your local counter says 50 remaining but HubSpot's header says 5, you trust HubSpot and clamp your counter. This handles clock drift, missed accounting (e.g., crashed worker that took a token but never made the request), and other apps in the same account consuming the daily budget invisibly.
For search specifically, since headers don't come back, the local counter
is
the source of truth β meaning if you ever crash mid-flight, you've under-counted. Always release tokens on connection-level failure but
not
on 429 (you really did make that request).
How to work with multiple jobs
How to work with multiple jobs
The queue layer needs to enforce concurrency separately from the rate limiter. Both work together:
Concurrency cap
via
Queue::throttle()
or a Redis semaphore β limits how many sync workers run in parallel against HubSpot. Without this, you can have 50 workers all blocked waiting for tokens, which is wasteful and creates retry storms.
Per-tenant fairness
β if you sync many Jiminny customers into different HubSpot portals, each portal has its own bucket but you still want one slow portal not to starve others. Either separate queues per portal or a fair-share scheduler.
Priority lanes
β webhook-driven updates (user-visible latency) should outrank background batch syncs. Two queues:
hubspot-priority
and
hubspot-bulk
, with priority workers taking 70% of the burst budget and bulk taking 30% (enforce via separate sub-buckets if you really want hard separation, otherwise just pull from priority first).
Backoff on 429
β respect the
Retry-After
header. If absent, exponential with jitter (e.g.,
min(2^attempt * 250ms, 30s) Β± 20%
). The jitter is non-negotiable; without it, simultaneous 429s retry in lockstep and you get thundering-herd 429s on retry.
How to work with paginated requests
How to work with paginated requests
The trap is treating "fetch all" as one logical operation. Each page is its own API call and competes for tokens with everything else.
Two practical rules:
Don't hold the worker idle while paginating.
If page N takes 500ms and page N+1 needs to wait 800ms for a token, you've burned 800ms of worker time doing nothing. Instead, fetch page N, dispatch the
processing
of page N as a separate job, and queue a "fetch page N+1" job with a delay equal to the wait time. Each page becomes its own atomic unit.
Always batch where HubSpot offers it.
POST /crm/v3/objects/{type}/batch/{read|update|create}
accepts up to 100 IDs per call. For your "patching IDs" flow this is the difference between 600 calls and 6.
Walkthrough: 600 opportunities
Walkthrough: 600 opportunities
Naive flow (one PATCH per deal): 600 calls. At 190/10s that's ~32s of API time, well under daily. You'd hit burst easily without throttling. Plus likely 1-3 search calls upfront and N association calls.
Sane flow:
Identify deltas
β if you can avoid Search at all, do. Use
lastmodifieddate
filter on a single search if you must, paginate at limit=200. For 600 deals that's 3 search calls @ 5/s = ~600ms naturally throttled.
Batch read
current state β
POST /crm/v3/objects/deals/batch/read
with 100 IDs per call β 6 calls. Burst weight 6.
Compute diff
in your code (no API).
Batch update
β
POST /crm/v3/objects/deals/batch/update
with 100 per call β 6 calls.
Associations
β
POST /crm/v4/associations/{from}/{to}/batch/create
if needed β another few batch calls.
Total: ~15-20 API calls for 600 deals. Burst budget consumed: 20/190 over ~5s. Daily impact: trivial.
Recognition: pre-check denies if
<weight>
slots aren't free; on 429 the response surfaces
policyName
(DAILY/SECONDLY) β log it, push the job back with
Retry-After
delay, increment a metric so you can alarm on sustained 429 rate.
Pitfalls & bottlenecks worth pre-empting
Pitfalls & bottlenecks worth pre-empting
Daily quota is shared across the whole portal
, including any n8n flows, other private apps, marketing automation calling APIs, etc. Budget for ~70-80% of the documented limit, not 100%. Add an internal per-app daily cap so a runaway sync can't starve other apps.
Search is uniquely fragile
: separate 5/s bucket, no headers to read, 10k-result cap per query. If you ever hit 10k+ deals matching a filter, partition by
hs_object_id
ranges or by
lastmodifieddate
windows.
Retry storms after HubSpot incidents
β always jitter, always cap total retries (e.g., 5 attempts, then dead-letter).
Webhook β sync β webhook loops
β when your update fires a HubSpot webhook that triggers another sync. Tag your own writes (e.g., a custom property
jy_last_sync_id
) and ignore webhooks where it just changed.
Token refresh
β OAuth refresh itself counts against burst. Cache the access token in Redis with TTL =
expires_in - 60s
, single-flight the refresh (only one worker refreshes; others wait on a lock).
Search latency for fresh writes
β newly created/updated objects don't appear in search instantly. Don't write-then-search; use returned IDs directly.
Clock skew
β Redis is authoritative. Don't use
time()
from each worker for window scoring; use
redis.call('TIME')
inside the Lua script.
Dead workers with held tokens
β sliding-window-log handles this naturally because tokens expire by score; token-bucket implementations need explicit release-on-crash logic.
The 5% error rule
counts every 429 toward your error budget, even successfully retried ones. If your pre-check is working well, 429s should be near zero β if they're not, your pre-check is wrong, not just slow.
Phantom contention with Laravel
RateLimited
middleware
: it's per-job-class by default, not per-portal. If your
SyncDealJob
and
UpdateActivityJob
are different classes both calling HubSpot, they don't share a Laravel-level limiter β you need a single
HubspotRateLimiter
service that everything routes through.
If you want, I can sketch the Lua script for the sliding-window acquire and the Laravel service wrapper around it.
Copy
Give positive feedback
Give negative feedback
You said: What will happen if there are two different types of rate limits?
You said: What will happen if there are two different types of rate limits?
What will happen if there are two different types of rate limits?
Search requests that have 5 requests per second
The other rate limit that has, let's say, 100 requests per 10 seconds How do these work together? Is there some conflict? Can I reach the limit with one request and block either as well, or are these separated? Can I still continue making search requests once I hit the normal requests limits?
13:40
Edit
Copy
Claude responded: They're independent buckets β with one shared bucket on top.
Claude responded: They're independent buckets β with one shared bucket on top.
Analyzed independent rate limit buckets and their practical interactions
Analyzed independent rate limit buckets and their practical interactions
They're independent buckets β with one shared bucket on top.
The three buckets and what each call hits
The three buckets and what each call hits
Copy to clipboard
ββββββββββββββββββββ
Search request βββ β Search: 5/sec β βββ
ββββββββββββββββββββ β
ββββ βββββββββββββββββββ
ββββββββββββββββββββ β β Daily: 250kβ1M β
Non-search call βββ β Burst: 190/10s β βββ β (per portal) β
ββββββββββββββββββββ βββββββββββββββββββ
A search call is only metered against the search bucket and the daily bucket. A non-search call (batch read/update, single PATCH, associations, etc.) is only metered against the burst bucket and the daily bucket. The two short-window buckets do not share counters.
What this means practically
What this means practically
Hitting search secondly limit (5/s):
Only further
/search
calls 429. Your batch reads, batch updates, single PATCHes, association calls β all keep working at full burst speed. This is actually useful: if your sync is bottlenecked on Search, you can pivot to using
lastmodifieddate
filters via batch endpoints, or use the IDs you already have to do batch reads, while Search cools off.
Hitting burst limit (190/10s):
Only non-search calls 429. You can still issue Search calls at 5/s. Useful for: continuing to identify deltas for queueing while in-flight updates drain, or refreshing a small set of records via Search even though your write pipeline is paused.
Hitting daily limit:
Everything stops. Search and non-search alike. Doesn't unblock until midnight in your portal's configured timezone β and remember this is shared across every private app in the portal, plus n8n flows, marketing tools, anything else hitting the API with that account.
So can one type of request block the other?
So can one type of request block the other?
Search β Burst:
No.
Saturating Search at 50 calls per 10s leaves your full 190/10s burst untouched.
Burst β Search:
No.
Saturating burst leaves Search's 5/s untouched.
Either β Daily:
Yes
, but only by contributing to the same daily counter. It's volume that kills you here, not the type.
In theory you can sustain ~50 search + ~190 other =
~240 calls per 10 seconds
indefinitely (until daily runs out), because the two buckets bill independently.
Implementation consequence
Implementation consequence
Your rate limiter needs to know which bucket a request hits before it acquires. Cleanest pattern:
Copy to clipboard
php
$limiter
->
acquire
(
'search'
,
$weight
=
1
)
;
// for search endpoints only
$limiter
->
acquire
(
'burst'
,
$weight
=
1
)
;
// for everything else
$limiter
->
acquire
(
'daily'
,
$weight
=
1
)
;
// every call, both kinds
In Redis: three separate keys, three separate Lua acquire scripts (or one script with a bucket parameter). A search call calls
acquire('search')
+
acquire('daily')
. A batch update calls
acquire('burst')
+
acquire('daily')
.
One subtle pitfall: when you backoff on a 429,
inspect
policyName
in the response body
to know which bucket actually fired. If you see
SECONDLY
from a search endpoint, you only need to delay search-bound jobs β burst-bound jobs in the queue can keep running. If you blanket-pause everything on any 429, you waste capacity on the bucket that's still healthy. Two queues (or two throttle keys) make this clean; one global pause is the lazy version.
The other subtlety: the burst response gives you
X-HubSpot-RateLimit-Remaining
to clamp local state against, but search doesn't return those headers. So your search counter is unverified β be slightly more conservative there (e.g., budget 4/s instead of 5) to absorb the unaccounted-for calls.
Copy
Give positive feedback
Give negative feedback
You said: Ok, so what will happen each time I make a request?
You said: Ok, so what will happen each time I make a request?
Ok, so what will happen each time I make a request? Let's say I have 100,000 requests to make that are instant. Do I need to increment each request based on the type? For example, if there is a search request, I need to increment both the search bucket and also the daily bucket. If it's a burst, then I can go to the daily and burst buckets. If I need to check if it can make a call, do I need to see both the daily and search, or burst, respectively? Isn't that too heavy for the infrastructure, adding additional load to each request?
13:44
Edit
Copy
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Claude responded: Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out.
Analyzed per-request overhead concerns and quantified Redis performance impact
Analyzed per-request overhead concerns and quantified Redis performance impact
Yes, your understanding is correct β every request must check and reserve from each bucket it applies to, atomically, before the call goes out. But the overhead is much smaller than it sounds, and importantly, it's nowhere near your bottleneck.
What "two buckets per request" actually costs
What "two buckets per request" actually costs
Each request makes
one round trip to Redis
β not two β because you fold both bucket checks into a single Lua script that runs atomically server-side:
Copy to clipboard
lua
-- KEYS[1] = burst bucket key (or search)
-- KEYS[2] = daily bucket key
-- ARGV[1] = now (ms) ARGV[2] = window_ms
-- ARGV[3] = bucket_max ARGV[4] = daily_max
-- ARGV[5] = request_id ARGV[6] = daily_ttl
-- Trim sliding window
redis
.
call
(
'ZREMRANGEBYSCORE'
,
KEYS
[
1
]
,
0
,
ARGV
[
1
]
-
ARGV
[
2...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:02181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:02181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:05181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:05181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:08181-zshβ’ 84|screenpipe*β’$5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:08181-zshβ’ 84|screenpipe*β’$5-zsh...
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151669695_m1.jpg...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:09181-zshβ’ 84|screenpipe*β’$5-zsh...
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-8936178427285703294
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:09181-zshβ’ 84|screenpipe*β’$5-zsh...
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151670605_m1.jpg...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:10181-zshβ’ 84|screenpipe*β’β΄5-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERLast login: Thu Mayβ΄1DEV (-zsh)7 09:45:09on ttys010β΄82APP (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$cd ~/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe $ 11total667416drwxr-xr-xdrwx-drwxr-xr-x11lukasstaff3527 May13:4093lukasstaff29767 May13:4018lukasstaff5766May20:31datalukasstaff3361546247May13:40db.sqlite-rw-r--r--lukasstaff655367May10:42db.sqlite-shm-rw-r--r--lukasstaff44084327May13:40db.sqlite-waldrwxr-xr-x8lukasstaff2566May20:27pipes-rw-r--r--lukasstaff284086May21:02screenpipe.2026-05-06.0.10g-rw-r--r--lukasstaff1594697May13:40screenpipe.2026-05-07.0.10g-rwxr-xr-xlukasstaff149946May20:26-rw-r--r--1 lukasstaff3167screenpipe_sync.sh7 May 09:23 sync.loglukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ du -sh ~/.screenpipe449M/Users/lukas/.screenpipelukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ Π-zsh(ah]Support Daily β’ in 59 mA100% <478Thu 7 May 14:01:10181-zshβ’ 84|screenpipe*β’β΄5-zsh...
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PhpStorm
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faVsco.js β console [PROD]
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
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SELECT * FROM teams WHERE name LIKE '%litify%'; # 1069, 994, 24993
SELECT * FROM users WHERE id = 25061;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 994;
SELECT * FROM crm_profiles WHERE user_id = 25061;
select * from crm_configurations where id = 834;
SELECT * FROM teams WHERE id = 882;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 882 and sa.provider = 'hubspot';
SELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal
SELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 933 and sa.provider = 'hubspot';
SELECT * FROM crm_configurations WHERE provider = 'hubspot' and crm_provider_id = 7270388;
SELECT * FROM contacts where crm_configuration_id = 834;
SELECT * FROM opportunities WHERE team_id = 933
# AND crm_provider_id IN ('20131586060','46017317898','52543911090','53451356564','54101251892','54323768459');
AND id IN (8482561,18352941,19042734,19232139,19445140,19472541);
SELECT * FROM opportunity_contacts
WHERE opportunity_id IN (8482561,18352941,19042734,19232139,19445140,19472541);
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 485; #
SELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 933 and sa.provider = 'hubspot';
select crm.provider, l.* from leads l join crm_configurations crm on l.crm_configuration_id = crm.id
where crm.provider NOT IN ('salesforce', 'integration-app', 'bullhorn', 'copper')
# and l.converted_at IS NOT NULL
;
# [PASSWORD_DOTS]
SELECT * FROM activities a WHERE type IN ('email-inbound', 'email-outbound')
and opportunity_id IS NULL
order by id desc;
SELECT * FROM teams WHERE id = 604; # 598
SELECT * FROM activities WHERE id = 74410828; # [EMAIL]
SELECT * FROM accounts WHERE id = 20068382;
SELECT * FROM accounts WHERE id = 35186038;
SELECT * FROM contacts WHERE team_id = 852 and updated_at > '2026-01-23 12:30:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 559 and sa.provider = 'hubspot';
SELECT * FROM activities WHERE uuid_to_bin('cb6342b6-a183-401c-b0af-ede92b2ae763') = uuid;
select * from sidekick_settings where team_id = 781;
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 26651871; # Teya
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 7562435;
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8420347; # opflit 2100
SELECT * FROM crm_layouts WHERE crm_configuration_id = 711;
SELECT * FROM activities where crm_configuration_id = 711 and crm_provider_id IS NULL
and is_internal = 0 and status = 'completed'
order by id desc;
SELECT * FROM crm_layout_entities
WHERE crm_layout_id IN (2352, 2353);
;
SELECT * FROM crm_configurations where provider = 'hubspot' and id = 530;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 556 and sa.provider = 'hubspot';
SELECT * FROM activities WHERE uuid_to_bin('c6ca4b22-7738-4563-a95d-b8a9598924ae') = uuid;
SELECT * FROM activities WHERE uuid_to_bin('442abb2b-28bd-4be8-9c25-19e9bf02766d') = uuid;
select * from contacts
where crm_configuration_id = 530
and crm_provider_id = 872252;
select * from activities where crm_configuration_id = 530
and user_id = 14343 and type like '%softphone%'
and created_at between '2026-01-28 15:00:00' and '2026-01-28 15:10:00';
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 25666868; # Teya
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8646335; # Teya
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id IN (5933397);
SELECT t.name, t.id, t.owner_id, c.id, c.provider, c.crm_base_url FROM teams t
JOIN crm_configurations c ON t.id = c.team_id
WHERE t.status = 'active';
SELECT * FROM teams where id = 1091;
SELECT * FROM crm_configurations where team_id = 1091;
SELECT * FROM activity_providers where team_id = 1091;
SELECT * FROM activities where crm_configuration_id = 1024 and type IN ('softphone', 'softphone-outbound')
and provider NOT IN ('hubspot', 'aircall')
# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'
order by id desc;
SELECT * FROM teams WHERE name LIKE '%Leadventure%';
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1091 and sa.provider = 'salesforce';
SELECT * FROM teams WHERE name LIKE '%Wilson%'; # 862, 812
SELECT * FROM teams where id = 862;
SELECT * FROM crm_configurations where team_id = 862;
SELECT * FROM activity_providers where team_id = 862;
SELECT * FROM activities where crm_configuration_id = 812 and type IN ('softphone', 'softphone-outbound')
and provider NOT IN ('hubspot', 'aircall')
# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'
order by id desc;
SELECT t.id, crm.id, crm.provider, ap.* FROM teams t
join crm_configurations crm on t.id = crm.team_id
join activity_providers ap on t.id = ap.team_id
where t.status = 'active' and ap.is_enabled = 1
and crm.provider = 'hubspot'
and ap.provider NOT IN ('hubspot', 'aircall', 'uploader', 'gong', 'twilio', 'zoom-bot', 'google-meet', 'ms-teams',
'outreach', 'close', 'ringcentral', 'dialpad', 'zoom-phone');
SELECT * FROM teams where id = 1068;
SELECT * FROM crm_configurations where team_id = 1068;
SELECT * FROM activity_providers where team_id = 1068;
SELECT * FROM activities a
where crm_configuration_id = 993 and type IN ('softphone', 'softphone-outbound')
and a.provider NOT IN ('hubspot', 'uploader', 'gong', 'twilio', 'google-meet', 'ms-teams','close'
)
# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'
order by a.id desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1068 and sa.provider = 'hubspot';
# [PASSWORD_DOTS]
# [PASSWORD_DOTS]
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal , portalId: 6017093
SELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-06 00:00:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 933 and sa.provider = 'hubspot';
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 834; # 882 - AnyVan , portalId: 5468262
SELECT * FROM contacts WHERE crm_configuration_id = 834 and updated_at > '2026-03-30 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE crm_configuration_id = 834 and updated_at > '2026-03-04 08:00:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 882 and sa.provider = 'hubspot';
select * from crm_layouts where crm_configuration_id = 834;
select * from crm_layout_entities where crm_layout_id = 2780;
select * from crm_fields where id IN (321153,321192,321193,321194);
SELECT * FROM opportunities WHERE crm_configuration_id = 834 and id = 10993426;
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 988; # 1057 - Teya (543ce4f4-168c-4571-91ea-5b35c253f06f) , portalId: 26651871
SELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1057 and sa.provider = 'hubspot';
SELECT * FROM crm_configurations where id = 533; # 559 - Connectd , portalId: 6710988
SELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 801; # 852 - Rise Vision , portalId: 2700250
SELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-04 00:00:00' order by updated_at desc; # 6th last
SELECT * FROM crm_configurations where id = 962; # 1034 - evergrowth.io , portalId: 143180990
SELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 1037; # 1102 - Jibble , portalId: 6649755
SELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 8
SELECT * FROM crm_configurations where id = 1015; # 1049 - Travefy , portalId: 48904401
SELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 20
SELECT * FROM crm_configurations where id = 64; # 70 - SalaryFinance , portalId: 3404115
SELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 6th last
SELECT * FROM crm_configurations where id = 802; # 853 - Street Group , portalId: 7658438
SELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 10
SELECT * FROM crm_configurations where id = 872; # 921 - In Professional Development , portalId: 9238273
SELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 2
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 550; # 576 - SeedLegals , portalId: 3028661
SELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 989; # 1058 - rtaoutdoor.com , portalId: 22371204
SELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 896; # 946 - Mintago , portalId: 6621281
SELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 617; # 641 - PCS , portalId: 5244937
SELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-05 14:00:00' order by updated_at desc; # 7th
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 649; # 670 - Eventeny , portalId: 4492849
SELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; #
SELECT * FROM crm_configurations where id = 48; # 51 - CleanCloud , portalId: 4373137
SELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-03-04 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-02-09 08:00:00' order by updated_at desc;
select * from users where team_id = 51; # 7783
SELECT * FROM groups WHERE uuid_to_bin('8a8d2cb6-8b55-4fa3-8b5c-5f0e3d8de59a') = uuid; # 1130
select * from activity_searches where user_id = 7783;
select * from activity_search_filters where activity_search_id IN (32291, 32292);
SELECT asf.activity_search_id, asf.id, asf.value
FROM activity_search_filters asf
WHERE asf.filter = 'group_id'
AND asf.value IN (
SELECT CONCAT(
HEX(SUBSTR(uuid, 5, 4)), '-',
HEX(SUBSTR(uuid, 3, 2)), '-',
HEX(SUBSTR(uuid, 1, 2)), '-',
HEX(SUBSTR(uuid, 9, 2)), '-',
HEX(SUBSTR(uuid, 11))
)
FROM groups
WHERE deleted_at IS NOT NULL
);
SELECT * FROM crm_configurations where id = 272; # 290 - Bonham & Brook , portalId: 5705856
SELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-05 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; # 6th
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where provider = 'hubspot';
SELECT * FROM crm_configurations where id = 1056; # 1119 - Chromatic , portalId: 45602133
SELECT * FROM opportunities WHERE team_id = 1119 and remotely_created_at > '2026-02-01 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1119 and updated_at > '2026-02-09 09:00:00' order by updated_at desc; # null
# [PASSWORD_DOTS]
select * from contacts where crm_provider_id = '003Uu00000ojD4NIAU';
select
cp.*
# DISTINCT t.id
# cp.id, cp.user_id, t.id, cp.crm_configuration_id, cp.contact_fields
FROM crm_profiles cp
JOIN crm_configurations crm on crm.id = cp.crm_configuration_id
JOIN users u on u.id = cp.user_id
JOIN teams t ON t.id = crm.team_id
WHERE crm.provider = 'salesforce' and t.status = 'active'
and cp.archived_at IS NULL and u.deleted_at IS NULL
and t.id NOT IN (1093)
and t.id = 2
and cp.contact_fields IS NULL;
# and c.crm_provider_id = '003Uu00000ojD4NIAU';
SELECT * FROM users WHERE id = 26484;
SELECT * FROM crm_profiles WHERE user_id = 26484;
SELECT * FROM social_accounts WHERE sociable_id = 26484;
SELECT * FROM crm_configurations where provider = 'salesforce';
select * from users where id IN (10022, 10403);
select * from users where team_id IN (526);
select * from teams where id IN (526, 532);
select * from crm_configurations where id IN (500, 516);
select * from crm_profiles where crm_configuration_id IN (500, 516) and user_id IN (10022, 10403);
select * from contacts where crm_configuration_id IN (500, 516) and crm_provider_id = '003Uu00000ojD4NIAU';
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 526 and sa.provider = 'salesforce';
select * from team_settings where team_id IN (526, 532);
select * from users where id IN (22824);
select * from crm_profiles where crm_configuration_id IN (1026);
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1093 and sa.provider = 'salesforce';
select * from teams where id = 1099;
select * from users where id = 29643
select * from activity_processing_states;
SELECT * FROM teams where name LIKE '%Fare%'; # 233
SELECT * FROM opportunities where crm_configuration_id = 215
# and crm_provider_id = 'oppo_ogESZf2P50nDrd1nGPvKDXeA6sSaTN5v51Lp4ayVzKR'
;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1088 and sa.provider = 'hubspot';
SELECT * FROM teams order by updated_at DESC
SELECT * FROM crm_configurations WHERE id = 1019; # SimpleConsign 1088 - no social account
select * from crm_configurations where provider = 'pipedrive';
select * from teams where id = 957;
select * from crm_configurations where id = 957;
SELECT * FROM teams WHERE name LIKE '%Prolific%'; # 544, 518, 10743
SELECT * FROM opportunities where crm_configuration_id = 518 order by id desc;
select * from users where team_id = 1; # 26726 - Gabriela Dureva
SELECT * FROM opportunities where user_id = 26726; # 16834447 - Prolific
select * from activities where user_id = 26726 order by id desc;
select * from contacts where crm_configuration_id = 1
and email IN ('[EMAIL]', '[EMAIL]'); # 2094416, 2093620
SELECT * FROM contacts WHERE id = 6284931;
SELECT p.* FROM activities a JOIN participants p ON a.id = p.activity_id
WHERE a.user_id = 26726 and p.lead_id IN (2094416, 2093620) and a.created_at > '2026-01-01 00:00:00' order by p.email;
select * from activities where id IN (75509259,75509261,75509261,75511034,75026464,75517602,75517605);
select * from crm_configurations where id = 1;
43801692-1aeb-32ce-acba-5b80a479701a
44c3c9cf-6f5e-75f3-8179-bc9f75dd2b1b
405975c0-b3d0-7aaa-821f-09d59cae6dd1
4caf848d-4bed-2299-b248-7788d41f9fca
49bedc3f-f196-eef3-89c3-dea6a3b4aa63
43420989-a09d-b8f8-9806-c8bbf7a02aac
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1 and sa.provider = 'salesforce';
SELECT * FROM activities WHERE id = 75461988;
SELECT * FROM activities WHERE uuid_to_bin('d6c5052e-e972-49e9-8912-26f2f7d6c5f6') = uuid;
select * from contacts where id = 17900517;
select * from contact_roles cr join crm_configurations crm on cr.crm_configuration_id = crm.id
where crm.provider != 'salesforce';
select * from users where id = 21047;
SELECT * FROM crm_configurations WHERE id = 892;
SELECT * FROM teams WHERE id = 942;
select * from opportunities where team_id = 942 order by updated_at desc;
select * from contacts where team_id = 942 order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 942 and sa.provider = 'hubspot';
SELECT * FROM opportunities where team_id = 1 and crm_provider_id IN ('006Pq00000NeH6XIAV', '006Pq000007z8kdIAA'); # 10697889, 6621430
SELECT * FROM crm_configurations WHERE id = 1;
SELECT * FROM teams WHERE crm_id = 1;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1 and sa.provider = 'salesforce';
select id, user_id, opportunity_fields from crm_profiles where crm_configuration_id = 1
SELECT * FROM opportunities where team_id = 1 order by updated_at desc; # 10697889, 6621430
select * from teams where id = 852;
select * from groups where id = 2286;
select * from sidekick_settings where team_id = 852;
select * from default_activity_types where team_id = 852;
SELECT cc.provider, cc.id, p.id, u.*
FROM users u
LEFT JOIN crm_profiles p ON u.id = p.user_id AND p.id IS NULL -- no profile
INNER JOIN teams t ON u.team_id = t.id AND t.status = 'active' -- team is active
INNER JOIN crm_configurations cc ON t.crm_id = cc.id
WHERE u.status = 1 AND u.deleted_at IS NULL
AND u.crm_required = 1
AND u.team_id = 1
ORDER BY u.team_id;
SELECT * FROM crm_profiles cp where cp.crm_configuration_id = 1 and cp.user_id IN (
18481
);
SELECT cc.provider, cc.id, p.id, u.*
FROM users u
LEFT JOIN crm_profiles p ON u.id = p.user_id
INNER JOIN teams t ON u.team_id = t.id AND t.status = 'active'
INNER JOIN crm_configurations cc ON t.crm_id = cc.id
WHERE u.status = 1
AND u.deleted_at IS NULL
AND u.crm_required = 1
# AND u.team_id = 1
AND p.id IS NULL -- Move this condition to WHERE clause
ORDER BY u.team_id;
SELECT * FROM opportunities WHERE id = 20002609;
select * from teams where id = 1122; # Velatir, 29953 - [EMAIL]
select * from crm_configurations where id = 1060;
select * from crm_layouts where crm_configuration_id = 1060;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 3596;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1122 and sa.provider = 'hubspot';
select * from opportunities where team_id = 1122 order by updated_at desc;
select * from crm_field_data where object_type = 'contact';
SELECT * FROM activities WHERE uuid_to_bin('374fc8ed-3315-4c9f-9b25-318b7fd2928f') = uuid; # 76584262
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 248 and sa.provider = 'salesforce';
SELECT * FROM crm_profiles where user_id = 24115; # 005QF000002CswMYAS
SELECT * FROM users where id = 24115;
SELECT * FROM accounts where id = 4002896;
SELECT * FROM teams WHERE name LIKE '%adswerve%';
SELECT * FROM opportunities where crm_configuration_id = 230 AND crm_provider_id IN ("0069N000003GIQ9QAO","0061r000019yGP9AAM","0066900001S2KWlAAN","0066900001TDpj2AAD","0066900001b8uEwAAI","0069N000001rQi0QAE","006QF00000KD40mYAD","006QF00000LzpRJYAZ","0069N000002uomtQAA","0069N000002xlMLQAY","0066900001NV6ubAAD","0061r00001HJp45AAD","006QF00000uTlUoYAK","006QF00000v0bZqYAI");
SELECT * FROM opportunities WHERE crm_configuration_id = 230 AND crm_provider_id = '0069N000003GIQ9QAO'; # 6272203
SELECT u.id, u.email, ac.name, a.* FROM activities a
JOIN users u ON a.user_id = u.id
JOIN accounts ac ON a.account_id = ac.id
WHERE
uuid_to_bin('e3269598-b562-44fb-b5e9-9d2694dc63e0') = a.uuid or
uuid_to_bin('66ddc3ab-4e15-45aa-af0c-248c1eece593') = a.uuid or
uuid_to_bin('826bd328-e1cc-4213-b8d8-572454cacc07') = a.uuid;
select * from users where id = 5825;
SELECT * FROM activities WHERE uuid_to_bin('e56aa2e8-231a-421b-ab1f-cb38ed2bf573') = uuid;
select * from activities where uuid_to_bin('91e13b2f-2d1b-45f8-b1fd-1141b6563782') = uuid;
19594, 862
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 862 and sa.provider = 'salesforce';
select * from automated_reports where id = 36;
select ar.frequency, r.*, ar.* from automated_report_results r
join automated_reports ar on r.report_id = ar.id
where ar.frequency != 'one_off';
select s.* from activity_searches s join users u ON s.user_id = u.id where u.team_id = 882;
select * from nudges n where n.activity_search_id
select * from teams where created_at > '2026-03-09';
SELECT * FROM crm_layouts WHERE crm_configuration_id = 1065; # 1065
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 3617;
select * from users where team_id = 1 and name like '%Lukas%'; # 7160
SELECT * FROM teams WHERE id = 575;
select * from opportunities where team_id = 575;
SELECT * FROM teams WHERE name LIKE '%Integrum ESG%'; # 1126, 1065,
select * from opportunities where team_id = 1126;
SELECT * FROM teams WHERE name LIKE '%Base%'; # 1125, 1063,
select * from opportunities where team_id = 1125;
select * from contacts c
where c.team_id = 882;
SELECT * FROM activities WHERE id = 76822967;
SELECT * FROM crm_profiles WHERE user_id = 15440;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 555;
SELECT * FROM crm_configurations WHERE id = 555;
SELECT * FROM users WHERE id = 15440; # team. 581, gr. 15440, pl. 3911, act. field 162182
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 581 and sa.provider = 'salesforce';
SELECT * FROM automated_report_results order by id desc;
select * from features;
select * from team_features where feature_id = 40;
select * from teams where id = 556;
select * from automated_reports;
where id = 54; # 4fdd41f6-dcf0-30d0-b339-7345381b6044 , ["pdf","podcast"]
SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;
select * from automated_report_results order by id desc;
SELECT * FROM automated_report_results WHERE id = 1919;
select * from automated_report_results WHERE report_id = 54;
select * from opportunities where id = 7594349;
SELECT * FROM teams WHERE name LIKE '%Les%'; # 711, 692, 16067 - [EMAIL]
select * from playbooks where team_id = 711; # event 226147
SELECT * FROM playbook_categories WHERE playbook_id = 5515;
SELECT * FROM crm_fields WHERE crm_configuration_id = 692 and object_type = 'event';
SELECT * FROM crm_fields WHERE id = 226147;
SELECT * FROM crm_field_values WHERE crm_field_id = 226147;
SELECT * FROM crm_configurations WHERE id = 692;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 711 and sa.provider = 'salesforce';
SELECT * FROM crm_profiles cp JOIN users u on u.id = cp.user_id WHERE u.team_id = 711;
select * from leads;
select * from calendars;
SELECT
t.id AS team_id,
t.name,
LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1)) AS calendar_domain
FROM teams t
JOIN users u ON u.team_id = t.id
JOIN calendars c ON c.user_id = u.id AND c.status = 'active' AND c.calendar_provider_id LIKE '%@%'
LEFT JOIN team_domains td
ON td.team_id = t.id
AND td.deleted_at IS NULL
AND td.domain = LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1))
GROUP BY t.id, t.name, calendar_domain
ORDER BY t.name, calendar_domain;
select * from users u join calendars c on c.user_id = u.id
where u.team_id = 882;
select * from activities where id = 74049485; # team 563 crm 537
select * from activities where id = 73272382; # team 563 crm 537
select * from activities where id = 64400389; # team 563 crm 537
select * from activities where id = 58081273; # team 563 crm 537
select * from activities where id = 54520297; # team 563 crm 537
select * from participants where activity_id = 58081273;
select * from activities where crm_configuration_id = 537 and provider = 'aircall'
and account_id = 19003658 order by updated_at desc;
select * from contacts where crm_configuration_id = 537 and id = 35957759;
select * from accounts where crm_configuration_id = 537 and id = 19003658;
select * from automated_report_results where id = 1976;
select * from automated_reports where id = 583;
select * from activity_searches where id = 87714;
select * from activity_search_filters where activity_search_id = 87714;
SELECT * FROM activities WHERE uuid_to_bin('8827f672-202d-4162-9d04-73ff5f0566a9') = uuid
or uuid_to_bin('47842446-af51-4bcb-854f-cc6560290101') = uuid;
SELECT * FROM crm_configurations WHERE provider = 'hubspot';
select * from rate_limits;
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<?php
declare(strict_types=1);
namespace Jiminny\Component\Utility\Service;
use Illuminate\Cache\RateLimiter;
use Jiminny\Contracts\Http\RateLimited;
use Jiminny\Contracts\Http\RateLimitInterface;
class ProviderRateLimiter
{
protected RateLimiter $rateLimiter;
public function __construct(RateLimiter $rateLimiter)
{
$this->rateLimiter = $rateLimiter;
}
public function canMakeRequest(RateLimited $provider): bool
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"37","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"35","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"64","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"SELECT * FROM teams WHERE name LIKE '%litify%'; # 1069, 994, 24993\nSELECT * FROM users WHERE id = 25061;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 994;\nSELECT * FROM crm_profiles WHERE user_id = 25061;\n\nselect * from crm_configurations where id = 834;\nSELECT * FROM teams WHERE id = 882;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 882 and sa.provider = 'hubspot';\n\nSELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal\nSELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 933 and sa.provider = 'hubspot';\n\nSELECT * FROM crm_configurations WHERE provider = 'hubspot' and crm_provider_id = 7270388;\n\nSELECT * FROM contacts where crm_configuration_id = 834;\nSELECT * FROM opportunities WHERE team_id = 933\n# AND crm_provider_id IN ('20131586060','46017317898','52543911090','53451356564','54101251892','54323768459');\nAND id IN (8482561,18352941,19042734,19232139,19445140,19472541);\nSELECT * FROM opportunity_contacts\nWHERE opportunity_id IN (8482561,18352941,19042734,19232139,19445140,19472541);\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 485; #\nSELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 933 and sa.provider = 'hubspot';\n\nselect crm.provider, l.* from leads l join crm_configurations crm on l.crm_configuration_id = crm.id\nwhere crm.provider NOT IN ('salesforce', 'integration-app', 'bullhorn', 'copper')\n# and l.converted_at IS NOT NULL\n;\n\n# ********************************************************************\nSELECT * FROM activities a WHERE type IN ('email-inbound', 'email-outbound')\nand opportunity_id IS NULL\norder by id desc;\n\nSELECT * FROM teams WHERE id = 604; # 598\nSELECT * FROM activities WHERE id = 74410828; # chelseaw@allvoices.co\nSELECT * FROM accounts WHERE id = 20068382;\nSELECT * FROM accounts WHERE id = 35186038;\n\nSELECT * FROM contacts WHERE team_id = 852 and updated_at > '2026-01-23 12:30:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 559 and sa.provider = 'hubspot';\n\nSELECT * FROM activities WHERE uuid_to_bin('cb6342b6-a183-401c-b0af-ede92b2ae763') = uuid;\nselect * from sidekick_settings where team_id = 781;\n\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 26651871; # Teya\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 7562435;\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8420347; # opflit 2100\n\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 711;\nSELECT * FROM activities where crm_configuration_id = 711 and crm_provider_id IS NULL\nand is_internal = 0 and status = 'completed'\norder by id desc;\n\nSELECT * FROM crm_layout_entities\nWHERE crm_layout_id IN (2352, 2353);\n;\n\nSELECT * FROM crm_configurations where provider = 'hubspot' and id = 530;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 556 and sa.provider = 'hubspot';\n\nSELECT * FROM activities WHERE uuid_to_bin('c6ca4b22-7738-4563-a95d-b8a9598924ae') = uuid;\nSELECT * FROM activities WHERE uuid_to_bin('442abb2b-28bd-4be8-9c25-19e9bf02766d') = uuid;\nselect * from contacts\nwhere crm_configuration_id = 530\nand crm_provider_id = 872252;\n\nselect * from activities where crm_configuration_id = 530\nand user_id = 14343 and type like '%softphone%'\nand created_at between '2026-01-28 15:00:00' and '2026-01-28 15:10:00';\n\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 25666868; # Teya\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8646335; # Teya\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id IN (5933397);\n\n\nSELECT t.name, t.id, t.owner_id, c.id, c.provider, c.crm_base_url FROM teams t\nJOIN crm_configurations c ON t.id = c.team_id\nWHERE t.status = 'active';\n\nSELECT * FROM teams where id = 1091;\nSELECT * FROM crm_configurations where team_id = 1091;\nSELECT * FROM activity_providers where team_id = 1091;\nSELECT * FROM activities where crm_configuration_id = 1024 and type IN ('softphone', 'softphone-outbound')\nand provider NOT IN ('hubspot', 'aircall')\n# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'\norder by id desc;\n\n\nSELECT * FROM teams WHERE name LIKE '%Leadventure%';\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1091 and sa.provider = 'salesforce';\n\nSELECT * FROM teams WHERE name LIKE '%Wilson%'; # 862, 812\nSELECT * FROM teams where id = 862;\nSELECT * FROM crm_configurations where team_id = 862;\nSELECT * FROM activity_providers where team_id = 862;\nSELECT * FROM activities where crm_configuration_id = 812 and type IN ('softphone', 'softphone-outbound')\nand provider NOT IN ('hubspot', 'aircall')\n# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'\norder by id desc;\n\n\nSELECT t.id, crm.id, crm.provider, ap.* FROM teams t\njoin crm_configurations crm on t.id = crm.team_id\njoin activity_providers ap on t.id = ap.team_id\nwhere t.status = 'active' and ap.is_enabled = 1\nand crm.provider = 'hubspot'\nand ap.provider NOT IN ('hubspot', 'aircall', 'uploader', 'gong', 'twilio', 'zoom-bot', 'google-meet', 'ms-teams',\n 'outreach', 'close', 'ringcentral', 'dialpad', 'zoom-phone');\n\nSELECT * FROM teams where id = 1068;\nSELECT * FROM crm_configurations where team_id = 1068;\nSELECT * FROM activity_providers where team_id = 1068;\n\nSELECT * FROM activities a\nwhere crm_configuration_id = 993 and type IN ('softphone', 'softphone-outbound')\nand a.provider NOT IN ('hubspot', 'uploader', 'gong', 'twilio', 'google-meet', 'ms-teams','close'\n )\n# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'\norder by a.id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1068 and sa.provider = 'hubspot';\n\n# ********************************************************************\n# ********************************************************************\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal , portalId: 6017093\nSELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-06 00:00:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 933 and sa.provider = 'hubspot';\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 834; # 882 - AnyVan , portalId: 5468262\nSELECT * FROM contacts WHERE crm_configuration_id = 834 and updated_at > '2026-03-30 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE crm_configuration_id = 834 and updated_at > '2026-03-04 08:00:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 882 and sa.provider = 'hubspot';\nselect * from crm_layouts where crm_configuration_id = 834;\nselect * from crm_layout_entities where crm_layout_id = 2780;\nselect * from crm_fields where id IN (321153,321192,321193,321194);\n\nSELECT * FROM opportunities WHERE crm_configuration_id = 834 and id = 10993426;\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 988; # 1057 - Teya (543ce4f4-168c-4571-91ea-5b35c253f06f) , portalId: 26651871\nSELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1057 and sa.provider = 'hubspot';\n\nSELECT * FROM crm_configurations where id = 533; # 559 - Connectd , portalId: 6710988\nSELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 801; # 852 - Rise Vision , portalId: 2700250\nSELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-04 00:00:00' order by updated_at desc; # 6th last\n\nSELECT * FROM crm_configurations where id = 962; # 1034 - evergrowth.io , portalId: 143180990\nSELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 1037; # 1102 - Jibble , portalId: 6649755\nSELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 8\n\nSELECT * FROM crm_configurations where id = 1015; # 1049 - Travefy , portalId: 48904401\nSELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 20\n\nSELECT * FROM crm_configurations where id = 64; # 70 - SalaryFinance , portalId: 3404115\nSELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 6th last\n\nSELECT * FROM crm_configurations where id = 802; # 853 - Street Group , portalId: 7658438\nSELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 10\n\nSELECT * FROM crm_configurations where id = 872; # 921 - In Professional Development , portalId: 9238273\nSELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 2\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 550; # 576 - SeedLegals , portalId: 3028661\nSELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 989; # 1058 - rtaoutdoor.com , portalId: 22371204\nSELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 896; # 946 - Mintago , portalId: 6621281\nSELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 617; # 641 - PCS , portalId: 5244937\nSELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-05 14:00:00' order by updated_at desc; # 7th\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 649; # 670 - Eventeny , portalId: 4492849\nSELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; #\n\nSELECT * FROM crm_configurations where id = 48; # 51 - CleanCloud , portalId: 4373137\nSELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-03-04 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-02-09 08:00:00' order by updated_at desc;\nselect * from users where team_id = 51; # 7783\nSELECT * FROM groups WHERE uuid_to_bin('8a8d2cb6-8b55-4fa3-8b5c-5f0e3d8de59a') = uuid; # 1130\nselect * from activity_searches where user_id = 7783;\nselect * from activity_search_filters where activity_search_id IN (32291, 32292);\n\nSELECT asf.activity_search_id, asf.id, asf.value\nFROM activity_search_filters asf\nWHERE asf.filter = 'group_id'\nAND asf.value IN (\n SELECT CONCAT(\n HEX(SUBSTR(uuid, 5, 4)), '-',\n HEX(SUBSTR(uuid, 3, 2)), '-',\n HEX(SUBSTR(uuid, 1, 2)), '-',\n HEX(SUBSTR(uuid, 9, 2)), '-',\n HEX(SUBSTR(uuid, 11))\n )\n FROM groups\n WHERE deleted_at IS NOT NULL\n);\n\nSELECT * FROM crm_configurations where id = 272; # 290 - Bonham & Brook , portalId: 5705856\nSELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-05 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; # 6th\n# ********************************************************************\nSELECT * FROM crm_configurations where provider = 'hubspot';\nSELECT * FROM crm_configurations where id = 1056; # 1119 - Chromatic , portalId: 45602133\nSELECT * FROM opportunities WHERE team_id = 1119 and remotely_created_at > '2026-02-01 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1119 and updated_at > '2026-02-09 09:00:00' order by updated_at desc; # null\n# ********************************************************************\n\nselect * from contacts where crm_provider_id = '003Uu00000ojD4NIAU';\nselect\n cp.*\n# DISTINCT t.id\n# cp.id, cp.user_id, t.id, cp.crm_configuration_id, cp.contact_fields\nFROM crm_profiles cp\nJOIN crm_configurations crm on crm.id = cp.crm_configuration_id\nJOIN users u on u.id = cp.user_id\nJOIN teams t ON t.id = crm.team_id\nWHERE crm.provider = 'salesforce' and t.status = 'active'\n and cp.archived_at IS NULL and u.deleted_at IS NULL\n and t.id NOT IN (1093)\n and t.id = 2\n and cp.contact_fields IS NULL;\n# and c.crm_provider_id = '003Uu00000ojD4NIAU';\n\nSELECT * FROM users WHERE id = 26484;\nSELECT * FROM crm_profiles WHERE user_id = 26484;\nSELECT * FROM social_accounts WHERE sociable_id = 26484;\nSELECT * FROM crm_configurations where provider = 'salesforce';\nselect * from users where id IN (10022, 10403);\nselect * from users where team_id IN (526);\nselect * from teams where id IN (526, 532);\nselect * from crm_configurations where id IN (500, 516);\nselect * from crm_profiles where crm_configuration_id IN (500, 516) and user_id IN (10022, 10403);\nselect * from contacts where crm_configuration_id IN (500, 516) and crm_provider_id = '003Uu00000ojD4NIAU';\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 526 and sa.provider = 'salesforce';\nselect * from team_settings where team_id IN (526, 532);\n\nselect * from users where id IN (22824);\nselect * from crm_profiles where crm_configuration_id IN (1026);\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1093 and sa.provider = 'salesforce';\n\nselect * from teams where id = 1099;\nselect * from users where id = 29643\n\nselect * from activity_processing_states;\n\nSELECT * FROM teams where name LIKE '%Fare%'; # 233\nSELECT * FROM opportunities where crm_configuration_id = 215\n# and crm_provider_id = 'oppo_ogESZf2P50nDrd1nGPvKDXeA6sSaTN5v51Lp4ayVzKR'\n;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1088 and sa.provider = 'hubspot';\n\nSELECT * FROM teams order by updated_at DESC\nSELECT * FROM crm_configurations WHERE id = 1019; # SimpleConsign 1088 - no social account\n\nselect * from crm_configurations where provider = 'pipedrive';\n\nselect * from teams where id = 957;\nselect * from crm_configurations where id = 957;\n\nSELECT * FROM teams WHERE name LIKE '%Prolific%'; # 544, 518, 10743\nSELECT * FROM opportunities where crm_configuration_id = 518 order by id desc;\n\nselect * from users where team_id = 1; # 26726 - Gabriela Dureva\nSELECT * FROM opportunities where user_id = 26726; # 16834447 - Prolific\nselect * from activities where user_id = 26726 order by id desc;\nselect * from contacts where crm_configuration_id = 1\nand email IN ('charlotte.ward@prolific.com', 'frankie.bryant@prolific.com'); # 2094416, 2093620\nSELECT * FROM contacts WHERE id = 6284931;\n\nSELECT p.* FROM activities a JOIN participants p ON a.id = p.activity_id\nWHERE a.user_id = 26726 and p.lead_id IN (2094416, 2093620) and a.created_at > '2026-01-01 00:00:00' order by p.email;\n\nselect * from activities where id IN (75509259,75509261,75509261,75511034,75026464,75517602,75517605);\nselect * from crm_configurations where id = 1;\n\n43801692-1aeb-32ce-acba-5b80a479701a\n44c3c9cf-6f5e-75f3-8179-bc9f75dd2b1b\n405975c0-b3d0-7aaa-821f-09d59cae6dd1\n4caf848d-4bed-2299-b248-7788d41f9fca\n49bedc3f-f196-eef3-89c3-dea6a3b4aa63\n43420989-a09d-b8f8-9806-c8bbf7a02aac\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1 and sa.provider = 'salesforce';\n\nSELECT * FROM activities WHERE id = 75461988;\n\nSELECT * FROM activities WHERE uuid_to_bin('d6c5052e-e972-49e9-8912-26f2f7d6c5f6') = uuid;\n\nselect * from contacts where id = 17900517;\n\nselect * from contact_roles cr join crm_configurations crm on cr.crm_configuration_id = crm.id\nwhere crm.provider != 'salesforce';\n\nselect * from users where id = 21047;\nSELECT * FROM crm_configurations WHERE id = 892;\nSELECT * FROM teams WHERE id = 942;\nselect * from opportunities where team_id = 942 order by updated_at desc;\nselect * from contacts where team_id = 942 order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 942 and sa.provider = 'hubspot';\n\nSELECT * FROM opportunities where team_id = 1 and crm_provider_id IN ('006Pq00000NeH6XIAV', '006Pq000007z8kdIAA'); # 10697889, 6621430\nSELECT * FROM crm_configurations WHERE id = 1;\nSELECT * FROM teams WHERE crm_id = 1;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1 and sa.provider = 'salesforce';\n\nselect id, user_id, opportunity_fields from crm_profiles where crm_configuration_id = 1\nSELECT * FROM opportunities where team_id = 1 order by updated_at desc; # 10697889, 6621430\n\nselect * from teams where id = 852;\nselect * from groups where id = 2286;\nselect * from sidekick_settings where team_id = 852;\nselect * from default_activity_types where team_id = 852;\n\n\nSELECT cc.provider, cc.id, p.id, u.*\nFROM users u\nLEFT JOIN crm_profiles p ON u.id = p.user_id AND p.id IS NULL -- no profile\nINNER JOIN teams t ON u.team_id = t.id AND t.status = 'active' -- team is active\nINNER JOIN crm_configurations cc ON t.crm_id = cc.id\nWHERE u.status = 1 AND u.deleted_at IS NULL\nAND u.crm_required = 1\nAND u.team_id = 1\nORDER BY u.team_id;\n\nSELECT * FROM crm_profiles cp where cp.crm_configuration_id = 1 and cp.user_id IN (\n18481\n );\n\nSELECT cc.provider, cc.id, p.id, u.*\nFROM users u\nLEFT JOIN crm_profiles p ON u.id = p.user_id\nINNER JOIN teams t ON u.team_id = t.id AND t.status = 'active'\nINNER JOIN crm_configurations cc ON t.crm_id = cc.id\nWHERE u.status = 1\n AND u.deleted_at IS NULL\n AND u.crm_required = 1\n# AND u.team_id = 1\n AND p.id IS NULL -- Move this condition to WHERE clause\nORDER BY u.team_id;\n\nSELECT * FROM opportunities WHERE id = 20002609;\nselect * from teams where id = 1122; # Velatir, 29953 - christian@velatir.com\nselect * from crm_configurations where id = 1060;\nselect * from crm_layouts where crm_configuration_id = 1060;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 3596;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1122 and sa.provider = 'hubspot';\nselect * from opportunities where team_id = 1122 order by updated_at desc;\n\nselect * from crm_field_data where object_type = 'contact';\n\nSELECT * FROM activities WHERE uuid_to_bin('374fc8ed-3315-4c9f-9b25-318b7fd2928f') = uuid; # 76584262\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 248 and sa.provider = 'salesforce';\n\nSELECT * FROM crm_profiles where user_id = 24115; # 005QF000002CswMYAS\nSELECT * FROM users where id = 24115;\nSELECT * FROM accounts where id = 4002896;\nSELECT * FROM teams WHERE name LIKE '%adswerve%';\nSELECT * FROM opportunities where crm_configuration_id = 230 AND crm_provider_id IN (\"0069N000003GIQ9QAO\",\"0061r000019yGP9AAM\",\"0066900001S2KWlAAN\",\"0066900001TDpj2AAD\",\"0066900001b8uEwAAI\",\"0069N000001rQi0QAE\",\"006QF00000KD40mYAD\",\"006QF00000LzpRJYAZ\",\"0069N000002uomtQAA\",\"0069N000002xlMLQAY\",\"0066900001NV6ubAAD\",\"0061r00001HJp45AAD\",\"006QF00000uTlUoYAK\",\"006QF00000v0bZqYAI\");\nSELECT * FROM opportunities WHERE crm_configuration_id = 230 AND crm_provider_id = '0069N000003GIQ9QAO'; # 6272203\n\nSELECT u.id, u.email, ac.name, a.* FROM activities a\nJOIN users u ON a.user_id = u.id\nJOIN accounts ac ON a.account_id = ac.id\nWHERE\nuuid_to_bin('e3269598-b562-44fb-b5e9-9d2694dc63e0') = a.uuid or\nuuid_to_bin('66ddc3ab-4e15-45aa-af0c-248c1eece593') = a.uuid or\nuuid_to_bin('826bd328-e1cc-4213-b8d8-572454cacc07') = a.uuid;\n\nselect * from users where id = 5825;\nSELECT * FROM activities WHERE uuid_to_bin('e56aa2e8-231a-421b-ab1f-cb38ed2bf573') = uuid;\n\nselect * from activities where uuid_to_bin('91e13b2f-2d1b-45f8-b1fd-1141b6563782') = uuid;\n19594, 862\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 862 and sa.provider = 'salesforce';\n\nselect * from automated_reports where id = 36;\nselect ar.frequency, r.*, ar.* from automated_report_results r\njoin automated_reports ar on r.report_id = ar.id\nwhere ar.frequency != 'one_off';\n\nselect s.* from activity_searches s join users u ON s.user_id = u.id where u.team_id = 882;\nselect * from nudges n where n.activity_search_id\n\nselect * from teams where created_at > '2026-03-09';\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 1065; # 1065\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 3617;\n\nselect * from users where team_id = 1 and name like '%Lukas%'; # 7160\n\nSELECT * FROM teams WHERE id = 575;\nselect * from opportunities where team_id = 575;\nSELECT * FROM teams WHERE name LIKE '%Integrum ESG%'; # 1126, 1065,\nselect * from opportunities where team_id = 1126;\nSELECT * FROM teams WHERE name LIKE '%Base%'; # 1125, 1063,\nselect * from opportunities where team_id = 1125;\nselect * from contacts c\nwhere c.team_id = 882;\n\nSELECT * FROM activities WHERE id = 76822967;\nSELECT * FROM crm_profiles WHERE user_id = 15440;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 555;\nSELECT * FROM crm_configurations WHERE id = 555;\nSELECT * FROM users WHERE id = 15440; # team. 581, gr. 15440, pl. 3911, act. field 162182\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 581 and sa.provider = 'salesforce';\n\nSELECT * FROM automated_report_results order by id desc;\n\nselect * from features;\nselect * from team_features where feature_id = 40;\n\nselect * from teams where id = 556;\n\nselect * from automated_reports;\nwhere id = 54; # 4fdd41f6-dcf0-30d0-b339-7345381b6044 , [\"pdf\",\"podcast\"]\nSELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;\nselect * from automated_report_results order by id desc;\nSELECT * FROM automated_report_results WHERE id = 1919;\n\nselect * from automated_report_results WHERE report_id = 54;\n\nselect * from opportunities where id = 7594349;\n\nSELECT * FROM teams WHERE name LIKE '%Les%'; # 711, 692, 16067 - jiminnyintegration@lesmills.com\nselect * from playbooks where team_id = 711; # event 226147\nSELECT * FROM playbook_categories WHERE playbook_id = 5515;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 692 and object_type = 'event';\nSELECT * FROM crm_fields WHERE id = 226147;\nSELECT * FROM crm_field_values WHERE crm_field_id = 226147;\n\nSELECT * FROM crm_configurations WHERE id = 692;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 711 and sa.provider = 'salesforce';\n\nSELECT * FROM crm_profiles cp JOIN users u on u.id = cp.user_id WHERE u.team_id = 711;\n\nselect * from leads;\n\nselect * from calendars;\n\nSELECT\n t.id AS team_id,\n t.name,\n LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1)) AS calendar_domain\nFROM teams t\nJOIN users u ON u.team_id = t.id\nJOIN calendars c ON c.user_id = u.id AND c.status = 'active' AND c.calendar_provider_id LIKE '%@%'\nLEFT JOIN team_domains td\n ON td.team_id = t.id\n AND td.deleted_at IS NULL\n AND td.domain = LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1))\nGROUP BY t.id, t.name, calendar_domain\nORDER BY t.name, calendar_domain;\n\nselect * from users u join calendars c on c.user_id = u.id\nwhere u.team_id = 882;\n\n\nselect * from activities where id = 74049485; # team 563 crm 537\nselect * from activities where id = 73272382; # team 563 crm 537\nselect * from activities where id = 64400389; # team 563 crm 537\nselect * from activities where id = 58081273; # team 563 crm 537\nselect * from activities where id = 54520297; # team 563 crm 537\nselect * from participants where activity_id = 58081273;\n\nselect * from activities where crm_configuration_id = 537 and provider = 'aircall'\nand account_id = 19003658 order by updated_at desc;\n\nselect * from contacts where crm_configuration_id = 537 and id = 35957759;\nselect * from accounts where crm_configuration_id = 537 and id = 19003658;\n\nselect * from automated_report_results where id = 1976;\nselect * from automated_reports where id = 583;\nselect * from activity_searches where id = 87714;\nselect * from activity_search_filters where activity_search_id = 87714;\n\nSELECT * FROM activities WHERE uuid_to_bin('8827f672-202d-4162-9d04-73ff5f0566a9') = uuid\nor uuid_to_bin('47842446-af51-4bcb-854f-cc6560290101') = uuid;\n\nSELECT * FROM crm_configurations WHERE provider = 'hubspot';\nselect * from rate_limits;","depth":4,"on_screen":true,"value":"SELECT * FROM teams WHERE name LIKE '%litify%'; # 1069, 994, 24993\nSELECT * FROM users WHERE id = 25061;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 994;\nSELECT * FROM crm_profiles WHERE user_id = 25061;\n\nselect * from crm_configurations where id = 834;\nSELECT * FROM teams WHERE id = 882;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 882 and sa.provider = 'hubspot';\n\nSELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal\nSELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 933 and sa.provider = 'hubspot';\n\nSELECT * FROM crm_configurations WHERE provider = 'hubspot' and crm_provider_id = 7270388;\n\nSELECT * FROM contacts where crm_configuration_id = 834;\nSELECT * FROM opportunities WHERE team_id = 933\n# AND crm_provider_id IN ('20131586060','46017317898','52543911090','53451356564','54101251892','54323768459');\nAND id IN (8482561,18352941,19042734,19232139,19445140,19472541);\nSELECT * FROM opportunity_contacts\nWHERE opportunity_id IN (8482561,18352941,19042734,19232139,19445140,19472541);\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 485; #\nSELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 933 and sa.provider = 'hubspot';\n\nselect crm.provider, l.* from leads l join crm_configurations crm on l.crm_configuration_id = crm.id\nwhere crm.provider NOT IN ('salesforce', 'integration-app', 'bullhorn', 'copper')\n# and l.converted_at IS NOT NULL\n;\n\n# ********************************************************************\nSELECT * FROM activities a WHERE type IN ('email-inbound', 'email-outbound')\nand opportunity_id IS NULL\norder by id desc;\n\nSELECT * FROM teams WHERE id = 604; # 598\nSELECT * FROM activities WHERE id = 74410828; # chelseaw@allvoices.co\nSELECT * FROM accounts WHERE id = 20068382;\nSELECT * FROM accounts WHERE id = 35186038;\n\nSELECT * FROM contacts WHERE team_id = 852 and updated_at > '2026-01-23 12:30:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 559 and sa.provider = 'hubspot';\n\nSELECT * FROM activities WHERE uuid_to_bin('cb6342b6-a183-401c-b0af-ede92b2ae763') = uuid;\nselect * from sidekick_settings where team_id = 781;\n\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 26651871; # Teya\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 7562435;\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8420347; # opflit 2100\n\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 711;\nSELECT * FROM activities where crm_configuration_id = 711 and crm_provider_id IS NULL\nand is_internal = 0 and status = 'completed'\norder by id desc;\n\nSELECT * FROM crm_layout_entities\nWHERE crm_layout_id IN (2352, 2353);\n;\n\nSELECT * FROM crm_configurations where provider = 'hubspot' and id = 530;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 556 and sa.provider = 'hubspot';\n\nSELECT * FROM activities WHERE uuid_to_bin('c6ca4b22-7738-4563-a95d-b8a9598924ae') = uuid;\nSELECT * FROM activities WHERE uuid_to_bin('442abb2b-28bd-4be8-9c25-19e9bf02766d') = uuid;\nselect * from contacts\nwhere crm_configuration_id = 530\nand crm_provider_id = 872252;\n\nselect * from activities where crm_configuration_id = 530\nand user_id = 14343 and type like '%softphone%'\nand created_at between '2026-01-28 15:00:00' and '2026-01-28 15:10:00';\n\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 25666868; # Teya\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8646335; # Teya\nSELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id IN (5933397);\n\n\nSELECT t.name, t.id, t.owner_id, c.id, c.provider, c.crm_base_url FROM teams t\nJOIN crm_configurations c ON t.id = c.team_id\nWHERE t.status = 'active';\n\nSELECT * FROM teams where id = 1091;\nSELECT * FROM crm_configurations where team_id = 1091;\nSELECT * FROM activity_providers where team_id = 1091;\nSELECT * FROM activities where crm_configuration_id = 1024 and type IN ('softphone', 'softphone-outbound')\nand provider NOT IN ('hubspot', 'aircall')\n# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'\norder by id desc;\n\n\nSELECT * FROM teams WHERE name LIKE '%Leadventure%';\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1091 and sa.provider = 'salesforce';\n\nSELECT * FROM teams WHERE name LIKE '%Wilson%'; # 862, 812\nSELECT * FROM teams where id = 862;\nSELECT * FROM crm_configurations where team_id = 862;\nSELECT * FROM activity_providers where team_id = 862;\nSELECT * FROM activities where crm_configuration_id = 812 and type IN ('softphone', 'softphone-outbound')\nand provider NOT IN ('hubspot', 'aircall')\n# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'\norder by id desc;\n\n\nSELECT t.id, crm.id, crm.provider, ap.* FROM teams t\njoin crm_configurations crm on t.id = crm.team_id\njoin activity_providers ap on t.id = ap.team_id\nwhere t.status = 'active' and ap.is_enabled = 1\nand crm.provider = 'hubspot'\nand ap.provider NOT IN ('hubspot', 'aircall', 'uploader', 'gong', 'twilio', 'zoom-bot', 'google-meet', 'ms-teams',\n 'outreach', 'close', 'ringcentral', 'dialpad', 'zoom-phone');\n\nSELECT * FROM teams where id = 1068;\nSELECT * FROM crm_configurations where team_id = 1068;\nSELECT * FROM activity_providers where team_id = 1068;\n\nSELECT * FROM activities a\nwhere crm_configuration_id = 993 and type IN ('softphone', 'softphone-outbound')\nand a.provider NOT IN ('hubspot', 'uploader', 'gong', 'twilio', 'google-meet', 'ms-teams','close'\n )\n# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'\norder by a.id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1068 and sa.provider = 'hubspot';\n\n# ********************************************************************\n# ********************************************************************\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal , portalId: 6017093\nSELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-06 00:00:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 933 and sa.provider = 'hubspot';\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 834; # 882 - AnyVan , portalId: 5468262\nSELECT * FROM contacts WHERE crm_configuration_id = 834 and updated_at > '2026-03-30 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE crm_configuration_id = 834 and updated_at > '2026-03-04 08:00:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 882 and sa.provider = 'hubspot';\nselect * from crm_layouts where crm_configuration_id = 834;\nselect * from crm_layout_entities where crm_layout_id = 2780;\nselect * from crm_fields where id IN (321153,321192,321193,321194);\n\nSELECT * FROM opportunities WHERE crm_configuration_id = 834 and id = 10993426;\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 988; # 1057 - Teya (543ce4f4-168c-4571-91ea-5b35c253f06f) , portalId: 26651871\nSELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1057 and sa.provider = 'hubspot';\n\nSELECT * FROM crm_configurations where id = 533; # 559 - Connectd , portalId: 6710988\nSELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 801; # 852 - Rise Vision , portalId: 2700250\nSELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-04 00:00:00' order by updated_at desc; # 6th last\n\nSELECT * FROM crm_configurations where id = 962; # 1034 - evergrowth.io , portalId: 143180990\nSELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 1037; # 1102 - Jibble , portalId: 6649755\nSELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 8\n\nSELECT * FROM crm_configurations where id = 1015; # 1049 - Travefy , portalId: 48904401\nSELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 20\n\nSELECT * FROM crm_configurations where id = 64; # 70 - SalaryFinance , portalId: 3404115\nSELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 6th last\n\nSELECT * FROM crm_configurations where id = 802; # 853 - Street Group , portalId: 7658438\nSELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 10\n\nSELECT * FROM crm_configurations where id = 872; # 921 - In Professional Development , portalId: 9238273\nSELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 2\n\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 550; # 576 - SeedLegals , portalId: 3028661\nSELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 989; # 1058 - rtaoutdoor.com , portalId: 22371204\nSELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 896; # 946 - Mintago , portalId: 6621281\nSELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;\n\nSELECT * FROM crm_configurations where id = 617; # 641 - PCS , portalId: 5244937\nSELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-05 14:00:00' order by updated_at desc; # 7th\n# ********************************************************************\nSELECT * FROM crm_configurations where id = 649; # 670 - Eventeny , portalId: 4492849\nSELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; #\n\nSELECT * FROM crm_configurations where id = 48; # 51 - CleanCloud , portalId: 4373137\nSELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-03-04 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-02-09 08:00:00' order by updated_at desc;\nselect * from users where team_id = 51; # 7783\nSELECT * FROM groups WHERE uuid_to_bin('8a8d2cb6-8b55-4fa3-8b5c-5f0e3d8de59a') = uuid; # 1130\nselect * from activity_searches where user_id = 7783;\nselect * from activity_search_filters where activity_search_id IN (32291, 32292);\n\nSELECT asf.activity_search_id, asf.id, asf.value\nFROM activity_search_filters asf\nWHERE asf.filter = 'group_id'\nAND asf.value IN (\n SELECT CONCAT(\n HEX(SUBSTR(uuid, 5, 4)), '-',\n HEX(SUBSTR(uuid, 3, 2)), '-',\n HEX(SUBSTR(uuid, 1, 2)), '-',\n HEX(SUBSTR(uuid, 9, 2)), '-',\n HEX(SUBSTR(uuid, 11))\n )\n FROM groups\n WHERE deleted_at IS NOT NULL\n);\n\nSELECT * FROM crm_configurations where id = 272; # 290 - Bonham & Brook , portalId: 5705856\nSELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-05 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; # 6th\n# ********************************************************************\nSELECT * FROM crm_configurations where provider = 'hubspot';\nSELECT * FROM crm_configurations where id = 1056; # 1119 - Chromatic , portalId: 45602133\nSELECT * FROM opportunities WHERE team_id = 1119 and remotely_created_at > '2026-02-01 00:00:00' order by updated_at desc;\nSELECT * FROM opportunities WHERE team_id = 1119 and updated_at > '2026-02-09 09:00:00' order by updated_at desc; # null\n# ********************************************************************\n\nselect * from contacts where crm_provider_id = '003Uu00000ojD4NIAU';\nselect\n cp.*\n# DISTINCT t.id\n# cp.id, cp.user_id, t.id, cp.crm_configuration_id, cp.contact_fields\nFROM crm_profiles cp\nJOIN crm_configurations crm on crm.id = cp.crm_configuration_id\nJOIN users u on u.id = cp.user_id\nJOIN teams t ON t.id = crm.team_id\nWHERE crm.provider = 'salesforce' and t.status = 'active'\n and cp.archived_at IS NULL and u.deleted_at IS NULL\n and t.id NOT IN (1093)\n and t.id = 2\n and cp.contact_fields IS NULL;\n# and c.crm_provider_id = '003Uu00000ojD4NIAU';\n\nSELECT * FROM users WHERE id = 26484;\nSELECT * FROM crm_profiles WHERE user_id = 26484;\nSELECT * FROM social_accounts WHERE sociable_id = 26484;\nSELECT * FROM crm_configurations where provider = 'salesforce';\nselect * from users where id IN (10022, 10403);\nselect * from users where team_id IN (526);\nselect * from teams where id IN (526, 532);\nselect * from crm_configurations where id IN (500, 516);\nselect * from crm_profiles where crm_configuration_id IN (500, 516) and user_id IN (10022, 10403);\nselect * from contacts where crm_configuration_id IN (500, 516) and crm_provider_id = '003Uu00000ojD4NIAU';\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 526 and sa.provider = 'salesforce';\nselect * from team_settings where team_id IN (526, 532);\n\nselect * from users where id IN (22824);\nselect * from crm_profiles where crm_configuration_id IN (1026);\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1093 and sa.provider = 'salesforce';\n\nselect * from teams where id = 1099;\nselect * from users where id = 29643\n\nselect * from activity_processing_states;\n\nSELECT * FROM teams where name LIKE '%Fare%'; # 233\nSELECT * FROM opportunities where crm_configuration_id = 215\n# and crm_provider_id = 'oppo_ogESZf2P50nDrd1nGPvKDXeA6sSaTN5v51Lp4ayVzKR'\n;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1088 and sa.provider = 'hubspot';\n\nSELECT * FROM teams order by updated_at DESC\nSELECT * FROM crm_configurations WHERE id = 1019; # SimpleConsign 1088 - no social account\n\nselect * from crm_configurations where provider = 'pipedrive';\n\nselect * from teams where id = 957;\nselect * from crm_configurations where id = 957;\n\nSELECT * FROM teams WHERE name LIKE '%Prolific%'; # 544, 518, 10743\nSELECT * FROM opportunities where crm_configuration_id = 518 order by id desc;\n\nselect * from users where team_id = 1; # 26726 - Gabriela Dureva\nSELECT * FROM opportunities where user_id = 26726; # 16834447 - Prolific\nselect * from activities where user_id = 26726 order by id desc;\nselect * from contacts where crm_configuration_id = 1\nand email IN ('charlotte.ward@prolific.com', 'frankie.bryant@prolific.com'); # 2094416, 2093620\nSELECT * FROM contacts WHERE id = 6284931;\n\nSELECT p.* FROM activities a JOIN participants p ON a.id = p.activity_id\nWHERE a.user_id = 26726 and p.lead_id IN (2094416, 2093620) and a.created_at > '2026-01-01 00:00:00' order by p.email;\n\nselect * from activities where id IN (75509259,75509261,75509261,75511034,75026464,75517602,75517605);\nselect * from crm_configurations where id = 1;\n\n43801692-1aeb-32ce-acba-5b80a479701a\n44c3c9cf-6f5e-75f3-8179-bc9f75dd2b1b\n405975c0-b3d0-7aaa-821f-09d59cae6dd1\n4caf848d-4bed-2299-b248-7788d41f9fca\n49bedc3f-f196-eef3-89c3-dea6a3b4aa63\n43420989-a09d-b8f8-9806-c8bbf7a02aac\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1 and sa.provider = 'salesforce';\n\nSELECT * FROM activities WHERE id = 75461988;\n\nSELECT * FROM activities WHERE uuid_to_bin('d6c5052e-e972-49e9-8912-26f2f7d6c5f6') = uuid;\n\nselect * from contacts where id = 17900517;\n\nselect * from contact_roles cr join crm_configurations crm on cr.crm_configuration_id = crm.id\nwhere crm.provider != 'salesforce';\n\nselect * from users where id = 21047;\nSELECT * FROM crm_configurations WHERE id = 892;\nSELECT * FROM teams WHERE id = 942;\nselect * from opportunities where team_id = 942 order by updated_at desc;\nselect * from contacts where team_id = 942 order by updated_at desc;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 942 and sa.provider = 'hubspot';\n\nSELECT * FROM opportunities where team_id = 1 and crm_provider_id IN ('006Pq00000NeH6XIAV', '006Pq000007z8kdIAA'); # 10697889, 6621430\nSELECT * FROM crm_configurations WHERE id = 1;\nSELECT * FROM teams WHERE crm_id = 1;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1 and sa.provider = 'salesforce';\n\nselect id, user_id, opportunity_fields from crm_profiles where crm_configuration_id = 1\nSELECT * FROM opportunities where team_id = 1 order by updated_at desc; # 10697889, 6621430\n\nselect * from teams where id = 852;\nselect * from groups where id = 2286;\nselect * from sidekick_settings where team_id = 852;\nselect * from default_activity_types where team_id = 852;\n\n\nSELECT cc.provider, cc.id, p.id, u.*\nFROM users u\nLEFT JOIN crm_profiles p ON u.id = p.user_id AND p.id IS NULL -- no profile\nINNER JOIN teams t ON u.team_id = t.id AND t.status = 'active' -- team is active\nINNER JOIN crm_configurations cc ON t.crm_id = cc.id\nWHERE u.status = 1 AND u.deleted_at IS NULL\nAND u.crm_required = 1\nAND u.team_id = 1\nORDER BY u.team_id;\n\nSELECT * FROM crm_profiles cp where cp.crm_configuration_id = 1 and cp.user_id IN (\n18481\n );\n\nSELECT cc.provider, cc.id, p.id, u.*\nFROM users u\nLEFT JOIN crm_profiles p ON u.id = p.user_id\nINNER JOIN teams t ON u.team_id = t.id AND t.status = 'active'\nINNER JOIN crm_configurations cc ON t.crm_id = cc.id\nWHERE u.status = 1\n AND u.deleted_at IS NULL\n AND u.crm_required = 1\n# AND u.team_id = 1\n AND p.id IS NULL -- Move this condition to WHERE clause\nORDER BY u.team_id;\n\nSELECT * FROM opportunities WHERE id = 20002609;\nselect * from teams where id = 1122; # Velatir, 29953 - christian@velatir.com\nselect * from crm_configurations where id = 1060;\nselect * from crm_layouts where crm_configuration_id = 1060;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 3596;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1122 and sa.provider = 'hubspot';\nselect * from opportunities where team_id = 1122 order by updated_at desc;\n\nselect * from crm_field_data where object_type = 'contact';\n\nSELECT * FROM activities WHERE uuid_to_bin('374fc8ed-3315-4c9f-9b25-318b7fd2928f') = uuid; # 76584262\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 248 and sa.provider = 'salesforce';\n\nSELECT * FROM crm_profiles where user_id = 24115; # 005QF000002CswMYAS\nSELECT * FROM users where id = 24115;\nSELECT * FROM accounts where id = 4002896;\nSELECT * FROM teams WHERE name LIKE '%adswerve%';\nSELECT * FROM opportunities where crm_configuration_id = 230 AND crm_provider_id IN (\"0069N000003GIQ9QAO\",\"0061r000019yGP9AAM\",\"0066900001S2KWlAAN\",\"0066900001TDpj2AAD\",\"0066900001b8uEwAAI\",\"0069N000001rQi0QAE\",\"006QF00000KD40mYAD\",\"006QF00000LzpRJYAZ\",\"0069N000002uomtQAA\",\"0069N000002xlMLQAY\",\"0066900001NV6ubAAD\",\"0061r00001HJp45AAD\",\"006QF00000uTlUoYAK\",\"006QF00000v0bZqYAI\");\nSELECT * FROM opportunities WHERE crm_configuration_id = 230 AND crm_provider_id = '0069N000003GIQ9QAO'; # 6272203\n\nSELECT u.id, u.email, ac.name, a.* FROM activities a\nJOIN users u ON a.user_id = u.id\nJOIN accounts ac ON a.account_id = ac.id\nWHERE\nuuid_to_bin('e3269598-b562-44fb-b5e9-9d2694dc63e0') = a.uuid or\nuuid_to_bin('66ddc3ab-4e15-45aa-af0c-248c1eece593') = a.uuid or\nuuid_to_bin('826bd328-e1cc-4213-b8d8-572454cacc07') = a.uuid;\n\nselect * from users where id = 5825;\nSELECT * FROM activities WHERE uuid_to_bin('e56aa2e8-231a-421b-ab1f-cb38ed2bf573') = uuid;\n\nselect * from activities where uuid_to_bin('91e13b2f-2d1b-45f8-b1fd-1141b6563782') = uuid;\n19594, 862\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 862 and sa.provider = 'salesforce';\n\nselect * from automated_reports where id = 36;\nselect ar.frequency, r.*, ar.* from automated_report_results r\njoin automated_reports ar on r.report_id = ar.id\nwhere ar.frequency != 'one_off';\n\nselect s.* from activity_searches s join users u ON s.user_id = u.id where u.team_id = 882;\nselect * from nudges n where n.activity_search_id\n\nselect * from teams where created_at > '2026-03-09';\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 1065; # 1065\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 3617;\n\nselect * from users where team_id = 1 and name like '%Lukas%'; # 7160\n\nSELECT * FROM teams WHERE id = 575;\nselect * from opportunities where team_id = 575;\nSELECT * FROM teams WHERE name LIKE '%Integrum ESG%'; # 1126, 1065,\nselect * from opportunities where team_id = 1126;\nSELECT * FROM teams WHERE name LIKE '%Base%'; # 1125, 1063,\nselect * from opportunities where team_id = 1125;\nselect * from contacts c\nwhere c.team_id = 882;\n\nSELECT * FROM activities WHERE id = 76822967;\nSELECT * FROM crm_profiles WHERE user_id = 15440;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 555;\nSELECT * FROM crm_configurations WHERE id = 555;\nSELECT * FROM users WHERE id = 15440; # team. 581, gr. 15440, pl. 3911, act. field 162182\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 581 and sa.provider = 'salesforce';\n\nSELECT * FROM automated_report_results order by id desc;\n\nselect * from features;\nselect * from team_features where feature_id = 40;\n\nselect * from teams where id = 556;\n\nselect * from automated_reports;\nwhere id = 54; # 4fdd41f6-dcf0-30d0-b339-7345381b6044 , [\"pdf\",\"podcast\"]\nSELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;\nselect * from automated_report_results order by id desc;\nSELECT * FROM automated_report_results WHERE id = 1919;\n\nselect * from automated_report_results WHERE report_id = 54;\n\nselect * from opportunities where id = 7594349;\n\nSELECT * FROM teams WHERE name LIKE '%Les%'; # 711, 692, 16067 - jiminnyintegration@lesmills.com\nselect * from playbooks where team_id = 711; # event 226147\nSELECT * FROM playbook_categories WHERE playbook_id = 5515;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 692 and object_type = 'event';\nSELECT * FROM crm_fields WHERE id = 226147;\nSELECT * FROM crm_field_values WHERE crm_field_id = 226147;\n\nSELECT * FROM crm_configurations WHERE id = 692;\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 711 and sa.provider = 'salesforce';\n\nSELECT * FROM crm_profiles cp JOIN users u on u.id = cp.user_id WHERE u.team_id = 711;\n\nselect * from leads;\n\nselect * from calendars;\n\nSELECT\n t.id AS team_id,\n t.name,\n LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1)) AS calendar_domain\nFROM teams t\nJOIN users u ON u.team_id = t.id\nJOIN calendars c ON c.user_id = u.id AND c.status = 'active' AND c.calendar_provider_id LIKE '%@%'\nLEFT JOIN team_domains td\n ON td.team_id = t.id\n AND td.deleted_at IS NULL\n AND td.domain = LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1))\nGROUP BY t.id, t.name, calendar_domain\nORDER BY t.name, calendar_domain;\n\nselect * from users u join calendars c on c.user_id = u.id\nwhere u.team_id = 882;\n\n\nselect * from activities where id = 74049485; # team 563 crm 537\nselect * from activities where id = 73272382; # team 563 crm 537\nselect * from activities where id = 64400389; # team 563 crm 537\nselect * from activities where id = 58081273; # team 563 crm 537\nselect * from activities where id = 54520297; # team 563 crm 537\nselect * from participants where activity_id = 58081273;\n\nselect * from activities where crm_configuration_id = 537 and provider = 'aircall'\nand account_id = 19003658 order by updated_at desc;\n\nselect * from contacts where crm_configuration_id = 537 and id = 35957759;\nselect * from accounts where crm_configuration_id = 537 and id = 19003658;\n\nselect * from automated_report_results where id = 1976;\nselect * from automated_reports where id = 583;\nselect * from activity_searches where id = 87714;\nselect * from activity_search_filters where activity_search_id = 87714;\n\nSELECT * FROM activities WHERE uuid_to_bin('8827f672-202d-4162-9d04-73ff5f0566a9') = uuid\nor uuid_to_bin('47842446-af51-4bcb-854f-cc6560290101') = uuid;\n\nSELECT * FROM crm_configurations WHERE provider = 'hubspot';\nselect * from rate_limits;","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directoryβ¦","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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SELECT * FROM teams WHERE name LIKE '%litify%'; # 1069, 994, 24993
SELECT * FROM users WHERE id = 25061;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 994;
SELECT * FROM crm_profiles WHERE user_id = 25061;
select * from crm_configurations where id = 834;
SELECT * FROM teams WHERE id = 882;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 882 and sa.provider = 'hubspot';
SELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal
SELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 933 and sa.provider = 'hubspot';
SELECT * FROM crm_configurations WHERE provider = 'hubspot' and crm_provider_id = 7270388;
SELECT * FROM contacts where crm_configuration_id = 834;
SELECT * FROM opportunities WHERE team_id = 933
# AND crm_provider_id IN ('20131586060','46017317898','52543911090','53451356564','54101251892','54323768459');
AND id IN (8482561,18352941,19042734,19232139,19445140,19472541);
SELECT * FROM opportunity_contacts
WHERE opportunity_id IN (8482561,18352941,19042734,19232139,19445140,19472541);
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 485; #
SELECT * FROM opportunities WHERE team_id = 933 order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 933 and sa.provider = 'hubspot';
select crm.provider, l.* from leads l join crm_configurations crm on l.crm_configuration_id = crm.id
where crm.provider NOT IN ('salesforce', 'integration-app', 'bullhorn', 'copper')
# and l.converted_at IS NOT NULL
;
# [PASSWORD_DOTS]
SELECT * FROM activities a WHERE type IN ('email-inbound', 'email-outbound')
and opportunity_id IS NULL
order by id desc;
SELECT * FROM teams WHERE id = 604; # 598
SELECT * FROM activities WHERE id = 74410828; # [EMAIL]
SELECT * FROM accounts WHERE id = 20068382;
SELECT * FROM accounts WHERE id = 35186038;
SELECT * FROM contacts WHERE team_id = 852 and updated_at > '2026-01-23 12:30:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 559 and sa.provider = 'hubspot';
SELECT * FROM activities WHERE uuid_to_bin('cb6342b6-a183-401c-b0af-ede92b2ae763') = uuid;
select * from sidekick_settings where team_id = 781;
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 26651871; # Teya
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 7562435;
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8420347; # opflit 2100
SELECT * FROM crm_layouts WHERE crm_configuration_id = 711;
SELECT * FROM activities where crm_configuration_id = 711 and crm_provider_id IS NULL
and is_internal = 0 and status = 'completed'
order by id desc;
SELECT * FROM crm_layout_entities
WHERE crm_layout_id IN (2352, 2353);
;
SELECT * FROM crm_configurations where provider = 'hubspot' and id = 530;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 556 and sa.provider = 'hubspot';
SELECT * FROM activities WHERE uuid_to_bin('c6ca4b22-7738-4563-a95d-b8a9598924ae') = uuid;
SELECT * FROM activities WHERE uuid_to_bin('442abb2b-28bd-4be8-9c25-19e9bf02766d') = uuid;
select * from contacts
where crm_configuration_id = 530
and crm_provider_id = 872252;
select * from activities where crm_configuration_id = 530
and user_id = 14343 and type like '%softphone%'
and created_at between '2026-01-28 15:00:00' and '2026-01-28 15:10:00';
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 25666868; # Teya
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id = 8646335; # Teya
SELECT * FROM crm_configurations where provider = 'hubspot' and crm_provider_id IN (5933397);
SELECT t.name, t.id, t.owner_id, c.id, c.provider, c.crm_base_url FROM teams t
JOIN crm_configurations c ON t.id = c.team_id
WHERE t.status = 'active';
SELECT * FROM teams where id = 1091;
SELECT * FROM crm_configurations where team_id = 1091;
SELECT * FROM activity_providers where team_id = 1091;
SELECT * FROM activities where crm_configuration_id = 1024 and type IN ('softphone', 'softphone-outbound')
and provider NOT IN ('hubspot', 'aircall')
# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'
order by id desc;
SELECT * FROM teams WHERE name LIKE '%Leadventure%';
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1091 and sa.provider = 'salesforce';
SELECT * FROM teams WHERE name LIKE '%Wilson%'; # 862, 812
SELECT * FROM teams where id = 862;
SELECT * FROM crm_configurations where team_id = 862;
SELECT * FROM activity_providers where team_id = 862;
SELECT * FROM activities where crm_configuration_id = 812 and type IN ('softphone', 'softphone-outbound')
and provider NOT IN ('hubspot', 'aircall')
# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'
order by id desc;
SELECT t.id, crm.id, crm.provider, ap.* FROM teams t
join crm_configurations crm on t.id = crm.team_id
join activity_providers ap on t.id = ap.team_id
where t.status = 'active' and ap.is_enabled = 1
and crm.provider = 'hubspot'
and ap.provider NOT IN ('hubspot', 'aircall', 'uploader', 'gong', 'twilio', 'zoom-bot', 'google-meet', 'ms-teams',
'outreach', 'close', 'ringcentral', 'dialpad', 'zoom-phone');
SELECT * FROM teams where id = 1068;
SELECT * FROM crm_configurations where team_id = 1068;
SELECT * FROM activity_providers where team_id = 1068;
SELECT * FROM activities a
where crm_configuration_id = 993 and type IN ('softphone', 'softphone-outbound')
and a.provider NOT IN ('hubspot', 'uploader', 'gong', 'twilio', 'google-meet', 'ms-teams','close'
)
# and telephony_provider_id = '019c1131-a22f-4792-b9ea-20adf6a02ed0'
order by a.id desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1068 and sa.provider = 'hubspot';
# [PASSWORD_DOTS]
# [PASSWORD_DOTS]
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 882; # 933 - GoGlobal , portalId: 6017093
SELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 933 and updated_at > '2026-02-06 00:00:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 933 and sa.provider = 'hubspot';
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 834; # 882 - AnyVan , portalId: 5468262
SELECT * FROM contacts WHERE crm_configuration_id = 834 and updated_at > '2026-03-30 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE crm_configuration_id = 834 and updated_at > '2026-03-04 08:00:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 882 and sa.provider = 'hubspot';
select * from crm_layouts where crm_configuration_id = 834;
select * from crm_layout_entities where crm_layout_id = 2780;
select * from crm_fields where id IN (321153,321192,321193,321194);
SELECT * FROM opportunities WHERE crm_configuration_id = 834 and id = 10993426;
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 988; # 1057 - Teya (543ce4f4-168c-4571-91ea-5b35c253f06f) , portalId: 26651871
SELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1057 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1057 and sa.provider = 'hubspot';
SELECT * FROM crm_configurations where id = 533; # 559 - Connectd , portalId: 6710988
SELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 559 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 801; # 852 - Rise Vision , portalId: 2700250
SELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 852 and updated_at > '2026-02-04 00:00:00' order by updated_at desc; # 6th last
SELECT * FROM crm_configurations where id = 962; # 1034 - evergrowth.io , portalId: 143180990
SELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1034 and updated_at > '2026-02-04 00:00:00' order by updated_at desc;
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 1037; # 1102 - Jibble , portalId: 6649755
SELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1102 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 8
SELECT * FROM crm_configurations where id = 1015; # 1049 - Travefy , portalId: 48904401
SELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1049 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 20
SELECT * FROM crm_configurations where id = 64; # 70 - SalaryFinance , portalId: 3404115
SELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 70 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 6th last
SELECT * FROM crm_configurations where id = 802; # 853 - Street Group , portalId: 7658438
SELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 853 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 10
SELECT * FROM crm_configurations where id = 872; # 921 - In Professional Development , portalId: 9238273
SELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 921 and updated_at > '2026-02-04 12:30:00' order by updated_at desc; # 2
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 550; # 576 - SeedLegals , portalId: 3028661
SELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 576 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 989; # 1058 - rtaoutdoor.com , portalId: 22371204
SELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1058 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 896; # 946 - Mintago , portalId: 6621281
SELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 946 and updated_at > '2026-02-05 14:00:00' order by updated_at desc;
SELECT * FROM crm_configurations where id = 617; # 641 - PCS , portalId: 5244937
SELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 641 and updated_at > '2026-02-05 14:00:00' order by updated_at desc; # 7th
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where id = 649; # 670 - Eventeny , portalId: 4492849
SELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-18 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 670 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; #
SELECT * FROM crm_configurations where id = 48; # 51 - CleanCloud , portalId: 4373137
SELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-03-04 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 51 and updated_at > '2026-02-09 08:00:00' order by updated_at desc;
select * from users where team_id = 51; # 7783
SELECT * FROM groups WHERE uuid_to_bin('8a8d2cb6-8b55-4fa3-8b5c-5f0e3d8de59a') = uuid; # 1130
select * from activity_searches where user_id = 7783;
select * from activity_search_filters where activity_search_id IN (32291, 32292);
SELECT asf.activity_search_id, asf.id, asf.value
FROM activity_search_filters asf
WHERE asf.filter = 'group_id'
AND asf.value IN (
SELECT CONCAT(
HEX(SUBSTR(uuid, 5, 4)), '-',
HEX(SUBSTR(uuid, 3, 2)), '-',
HEX(SUBSTR(uuid, 1, 2)), '-',
HEX(SUBSTR(uuid, 9, 2)), '-',
HEX(SUBSTR(uuid, 11))
)
FROM groups
WHERE deleted_at IS NOT NULL
);
SELECT * FROM crm_configurations where id = 272; # 290 - Bonham & Brook , portalId: 5705856
SELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-05 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 290 and updated_at > '2026-02-09 08:00:00' order by updated_at desc; # 6th
# [PASSWORD_DOTS]
SELECT * FROM crm_configurations where provider = 'hubspot';
SELECT * FROM crm_configurations where id = 1056; # 1119 - Chromatic , portalId: 45602133
SELECT * FROM opportunities WHERE team_id = 1119 and remotely_created_at > '2026-02-01 00:00:00' order by updated_at desc;
SELECT * FROM opportunities WHERE team_id = 1119 and updated_at > '2026-02-09 09:00:00' order by updated_at desc; # null
# [PASSWORD_DOTS]
select * from contacts where crm_provider_id = '003Uu00000ojD4NIAU';
select
cp.*
# DISTINCT t.id
# cp.id, cp.user_id, t.id, cp.crm_configuration_id, cp.contact_fields
FROM crm_profiles cp
JOIN crm_configurations crm on crm.id = cp.crm_configuration_id
JOIN users u on u.id = cp.user_id
JOIN teams t ON t.id = crm.team_id
WHERE crm.provider = 'salesforce' and t.status = 'active'
and cp.archived_at IS NULL and u.deleted_at IS NULL
and t.id NOT IN (1093)
and t.id = 2
and cp.contact_fields IS NULL;
# and c.crm_provider_id = '003Uu00000ojD4NIAU';
SELECT * FROM users WHERE id = 26484;
SELECT * FROM crm_profiles WHERE user_id = 26484;
SELECT * FROM social_accounts WHERE sociable_id = 26484;
SELECT * FROM crm_configurations where provider = 'salesforce';
select * from users where id IN (10022, 10403);
select * from users where team_id IN (526);
select * from teams where id IN (526, 532);
select * from crm_configurations where id IN (500, 516);
select * from crm_profiles where crm_configuration_id IN (500, 516) and user_id IN (10022, 10403);
select * from contacts where crm_configuration_id IN (500, 516) and crm_provider_id = '003Uu00000ojD4NIAU';
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 526 and sa.provider = 'salesforce';
select * from team_settings where team_id IN (526, 532);
select * from users where id IN (22824);
select * from crm_profiles where crm_configuration_id IN (1026);
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1093 and sa.provider = 'salesforce';
select * from teams where id = 1099;
select * from users where id = 29643
select * from activity_processing_states;
SELECT * FROM teams where name LIKE '%Fare%'; # 233
SELECT * FROM opportunities where crm_configuration_id = 215
# and crm_provider_id = 'oppo_ogESZf2P50nDrd1nGPvKDXeA6sSaTN5v51Lp4ayVzKR'
;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1088 and sa.provider = 'hubspot';
SELECT * FROM teams order by updated_at DESC
SELECT * FROM crm_configurations WHERE id = 1019; # SimpleConsign 1088 - no social account
select * from crm_configurations where provider = 'pipedrive';
select * from teams where id = 957;
select * from crm_configurations where id = 957;
SELECT * FROM teams WHERE name LIKE '%Prolific%'; # 544, 518, 10743
SELECT * FROM opportunities where crm_configuration_id = 518 order by id desc;
select * from users where team_id = 1; # 26726 - Gabriela Dureva
SELECT * FROM opportunities where user_id = 26726; # 16834447 - Prolific
select * from activities where user_id = 26726 order by id desc;
select * from contacts where crm_configuration_id = 1
and email IN ('[EMAIL]', '[EMAIL]'); # 2094416, 2093620
SELECT * FROM contacts WHERE id = 6284931;
SELECT p.* FROM activities a JOIN participants p ON a.id = p.activity_id
WHERE a.user_id = 26726 and p.lead_id IN (2094416, 2093620) and a.created_at > '2026-01-01 00:00:00' order by p.email;
select * from activities where id IN (75509259,75509261,75509261,75511034,75026464,75517602,75517605);
select * from crm_configurations where id = 1;
43801692-1aeb-32ce-acba-5b80a479701a
44c3c9cf-6f5e-75f3-8179-bc9f75dd2b1b
405975c0-b3d0-7aaa-821f-09d59cae6dd1
4caf848d-4bed-2299-b248-7788d41f9fca
49bedc3f-f196-eef3-89c3-dea6a3b4aa63
43420989-a09d-b8f8-9806-c8bbf7a02aac
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1 and sa.provider = 'salesforce';
SELECT * FROM activities WHERE id = 75461988;
SELECT * FROM activities WHERE uuid_to_bin('d6c5052e-e972-49e9-8912-26f2f7d6c5f6') = uuid;
select * from contacts where id = 17900517;
select * from contact_roles cr join crm_configurations crm on cr.crm_configuration_id = crm.id
where crm.provider != 'salesforce';
select * from users where id = 21047;
SELECT * FROM crm_configurations WHERE id = 892;
SELECT * FROM teams WHERE id = 942;
select * from opportunities where team_id = 942 order by updated_at desc;
select * from contacts where team_id = 942 order by updated_at desc;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 942 and sa.provider = 'hubspot';
SELECT * FROM opportunities where team_id = 1 and crm_provider_id IN ('006Pq00000NeH6XIAV', '006Pq000007z8kdIAA'); # 10697889, 6621430
SELECT * FROM crm_configurations WHERE id = 1;
SELECT * FROM teams WHERE crm_id = 1;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1 and sa.provider = 'salesforce';
select id, user_id, opportunity_fields from crm_profiles where crm_configuration_id = 1
SELECT * FROM opportunities where team_id = 1 order by updated_at desc; # 10697889, 6621430
select * from teams where id = 852;
select * from groups where id = 2286;
select * from sidekick_settings where team_id = 852;
select * from default_activity_types where team_id = 852;
SELECT cc.provider, cc.id, p.id, u.*
FROM users u
LEFT JOIN crm_profiles p ON u.id = p.user_id AND p.id IS NULL -- no profile
INNER JOIN teams t ON u.team_id = t.id AND t.status = 'active' -- team is active
INNER JOIN crm_configurations cc ON t.crm_id = cc.id
WHERE u.status = 1 AND u.deleted_at IS NULL
AND u.crm_required = 1
AND u.team_id = 1
ORDER BY u.team_id;
SELECT * FROM crm_profiles cp where cp.crm_configuration_id = 1 and cp.user_id IN (
18481
);
SELECT cc.provider, cc.id, p.id, u.*
FROM users u
LEFT JOIN crm_profiles p ON u.id = p.user_id
INNER JOIN teams t ON u.team_id = t.id AND t.status = 'active'
INNER JOIN crm_configurations cc ON t.crm_id = cc.id
WHERE u.status = 1
AND u.deleted_at IS NULL
AND u.crm_required = 1
# AND u.team_id = 1
AND p.id IS NULL -- Move this condition to WHERE clause
ORDER BY u.team_id;
SELECT * FROM opportunities WHERE id = 20002609;
select * from teams where id = 1122; # Velatir, 29953 - [EMAIL]
select * from crm_configurations where id = 1060;
select * from crm_layouts where crm_configuration_id = 1060;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 3596;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 1122 and sa.provider = 'hubspot';
select * from opportunities where team_id = 1122 order by updated_at desc;
select * from crm_field_data where object_type = 'contact';
SELECT * FROM activities WHERE uuid_to_bin('374fc8ed-3315-4c9f-9b25-318b7fd2928f') = uuid; # 76584262
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 248 and sa.provider = 'salesforce';
SELECT * FROM crm_profiles where user_id = 24115; # 005QF000002CswMYAS
SELECT * FROM users where id = 24115;
SELECT * FROM accounts where id = 4002896;
SELECT * FROM teams WHERE name LIKE '%adswerve%';
SELECT * FROM opportunities where crm_configuration_id = 230 AND crm_provider_id IN ("0069N000003GIQ9QAO","0061r000019yGP9AAM","0066900001S2KWlAAN","0066900001TDpj2AAD","0066900001b8uEwAAI","0069N000001rQi0QAE","006QF00000KD40mYAD","006QF00000LzpRJYAZ","0069N000002uomtQAA","0069N000002xlMLQAY","0066900001NV6ubAAD","0061r00001HJp45AAD","006QF00000uTlUoYAK","006QF00000v0bZqYAI");
SELECT * FROM opportunities WHERE crm_configuration_id = 230 AND crm_provider_id = '0069N000003GIQ9QAO'; # 6272203
SELECT u.id, u.email, ac.name, a.* FROM activities a
JOIN users u ON a.user_id = u.id
JOIN accounts ac ON a.account_id = ac.id
WHERE
uuid_to_bin('e3269598-b562-44fb-b5e9-9d2694dc63e0') = a.uuid or
uuid_to_bin('66ddc3ab-4e15-45aa-af0c-248c1eece593') = a.uuid or
uuid_to_bin('826bd328-e1cc-4213-b8d8-572454cacc07') = a.uuid;
select * from users where id = 5825;
SELECT * FROM activities WHERE uuid_to_bin('e56aa2e8-231a-421b-ab1f-cb38ed2bf573') = uuid;
select * from activities where uuid_to_bin('91e13b2f-2d1b-45f8-b1fd-1141b6563782') = uuid;
19594, 862
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 862 and sa.provider = 'salesforce';
select * from automated_reports where id = 36;
select ar.frequency, r.*, ar.* from automated_report_results r
join automated_reports ar on r.report_id = ar.id
where ar.frequency != 'one_off';
select s.* from activity_searches s join users u ON s.user_id = u.id where u.team_id = 882;
select * from nudges n where n.activity_search_id
select * from teams where created_at > '2026-03-09';
SELECT * FROM crm_layouts WHERE crm_configuration_id = 1065; # 1065
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 3617;
select * from users where team_id = 1 and name like '%Lukas%'; # 7160
SELECT * FROM teams WHERE id = 575;
select * from opportunities where team_id = 575;
SELECT * FROM teams WHERE name LIKE '%Integrum ESG%'; # 1126, 1065,
select * from opportunities where team_id = 1126;
SELECT * FROM teams WHERE name LIKE '%Base%'; # 1125, 1063,
select * from opportunities where team_id = 1125;
select * from contacts c
where c.team_id = 882;
SELECT * FROM activities WHERE id = 76822967;
SELECT * FROM crm_profiles WHERE user_id = 15440;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 555;
SELECT * FROM crm_configurations WHERE id = 555;
SELECT * FROM users WHERE id = 15440; # team. 581, gr. 15440, pl. 3911, act. field 162182
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 581 and sa.provider = 'salesforce';
SELECT * FROM automated_report_results order by id desc;
select * from features;
select * from team_features where feature_id = 40;
select * from teams where id = 556;
select * from automated_reports;
where id = 54; # 4fdd41f6-dcf0-30d0-b339-7345381b6044 , ["pdf","podcast"]
SELECT * FROM automated_report_results WHERE uuid_to_bin('822fa41b-afd3-43a9-a248-86b0e36f3131') = uuid;
select * from automated_report_results order by id desc;
SELECT * FROM automated_report_results WHERE id = 1919;
select * from automated_report_results WHERE report_id = 54;
select * from opportunities where id = 7594349;
SELECT * FROM teams WHERE name LIKE '%Les%'; # 711, 692, 16067 - [EMAIL]
select * from playbooks where team_id = 711; # event 226147
SELECT * FROM playbook_categories WHERE playbook_id = 5515;
SELECT * FROM crm_fields WHERE crm_configuration_id = 692 and object_type = 'event';
SELECT * FROM crm_fields WHERE id = 226147;
SELECT * FROM crm_field_values WHERE crm_field_id = 226147;
SELECT * FROM crm_configurations WHERE id = 692;
SELECT
CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,
u.email,
sa.*,
t.owner_id FROM social_accounts sa
JOIN users u on u.id = sa.sociable_id
JOIN teams t on t.id = u.team_id
WHERE u.team_id = 711 and sa.provider = 'salesforce';
SELECT * FROM crm_profiles cp JOIN users u on u.id = cp.user_id WHERE u.team_id = 711;
select * from leads;
select * from calendars;
SELECT
t.id AS team_id,
t.name,
LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1)) AS calendar_domain
FROM teams t
JOIN users u ON u.team_id = t.id
JOIN calendars c ON c.user_id = u.id AND c.status = 'active' AND c.calendar_provider_id LIKE '%@%'
LEFT JOIN team_domains td
ON td.team_id = t.id
AND td.deleted_at IS NULL
AND td.domain = LOWER(SUBSTRING_INDEX(c.calendar_provider_id, '@', -1))
GROUP BY t.id, t.name, calendar_domain
ORDER BY t.name, calendar_domain;
select * from users u join calendars c on c.user_id = u.id
where u.team_id = 882;
select * from activities where id = 74049485; # team 563 crm 537
select * from activities where id = 73272382; # team 563 crm 537
select * from activities where id = 64400389; # team 563 crm 537
select * from activities where id = 58081273; # team 563 crm 537
select * from activities where id = 54520297; # team 563 crm 537
select * from participants where activity_id = 58081273;
select * from activities where crm_configuration_id = 537 and provider = 'aircall'
and account_id = 19003658 order by updated_at desc;
select * from contacts where crm_configuration_id = 537 and id = 35957759;
select * from accounts where crm_configuration_id = 537 and id = 19003658;
select * from automated_report_results where id = 1976;
select * from automated_reports where id = 583;
select * from activity_searches where id = 87714;
select * from activity_search_filters where activity_search_id = 87714;
SELECT * FROM activities WHERE uuid_to_bin('8827f672-202d-4162-9d04-73ff5f0566a9') = uuid
or uuid_to_bin('47842446-af51-4bcb-854f-cc6560290101') = uuid;
SELECT * FROM crm_configurations WHERE provider = 'hubspot';
select * from rate_limits;
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<?php
declare(strict_types=1);
namespace Jiminny\Component\Utility\Service;
use Illuminate\Cache\RateLimiter;
use Jiminny\Contracts\Http\RateLimited;
use Jiminny\Contracts\Http\RateLimitInterface;
class ProviderRateLimiter
{
protected RateLimiter $rateLimiter;
public function __construct(RateLimiter $rateLimiter)
{
$this->rateLimiter = $rateLimiter;
}
public function canMakeRequest(RateLimited $provider): bool
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
Project
Project
New File or Directoryβ¦
Expand Selected
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Hide...
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NULL
|
NULL
|
NULL
|
NULL
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|
2086
|
97
|
18
|
2026-05-07T11:01:19.266669+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151679266_m1.jpg...
|
PhpStorm
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faVsco.js β HS_local [jiminny@localhost]
|
True
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NULL
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monitor_1
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NULL
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Execute
Explain Plan
Browse Query History
View Parameters
Open Query Execution Settingsβ¦
In-Editor Results
Tx: Auto
Cancel Running Statements
Playground
jiminny
Sync Changes
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Code changed:
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6
1
6
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Next Highlighted Error
# [PASSWORD_DOTS] HS [PASSWORD_DOTS]
select * from teams where id = 2; # 2
select * from features; # 2
select * from team_features where team_id = 2; # 2
select * from crm_configurations where id = 2; # 2
select * from users where team_id = 2; #
select * from playbooks where team_id = 2; # event 38
select * from playbook_categories where playbook_id = 38; #
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id is not null order by id desc;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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Settingsβ¦","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"In-Editor Results","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tx: Auto","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cancel Running Statements","depth":4,"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Playground","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"jiminny","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"6","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"6","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"# **************************** HS **************************************\n\nselect * from teams where id = 2; # 2\nselect * from features; # 2\nselect * from team_features where team_id = 2; # 2\nselect * from crm_configurations where id = 2; # 2\nselect * from users where team_id = 2; #\nselect * from playbooks where team_id = 2; # event 38\nselect * from playbook_categories where playbook_id = 38; #\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id is not null order by id desc;\nhttps://app.hubspot.com/contacts/4392066/deal/16964514951/?engagement=96069102624\n https://app.staging.jiminny.com/playback/d5df34dc-bd66-4ff5-a7b3-8d3be30322a0\n\nSELECT * FROM activities WHERE uuid_to_bin('04fdcd0d-818f-4c53-92dc-6f18bc753ffd') = uuid;\n# 609126 softphone tr. 11241\n\nSELECT * FROM activities WHERE uuid_to_bin('6521bfcd-5a30-46e5-9f74-5440fd48befd') = uuid;\n# 608874 conference tr. 11226 crmId: 103422236596\n\nselect * from ai_prompts where transcription_id IN (11241, 11226);\nselect * from activity_summary_logs where activity_id = 608874;\n\nselect * from sidekick_settings;\nselect * from default_activity_types;\n\nselect * from crm_field_data where activity_id = 1223;\n\nselect * from crm_layouts where crm_configuration_id = 2;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id IN (554);\nselect * from crm_fields where crm_configuration_id = 11 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id IN (1455,1450);\n\nSELECT * FROM crm_field_data WHERE crm_layout_entity_id = 971;\nSELECT * FROM crm_field_data WHERE crm_layout_entity_id IN (6494,6495,6496,6497,6498,6499);\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u\n on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 2 and sa.provider = 'hubspot';\n\nselect * from opportunities where team_id = 2\nand crm_provider_id IN ('51317301383');\n\nselect * from contacts where id = 85;\n\nselect * from opportunities where team_id = 2 order by id desc;\nselect * from opportunities where team_id = 2 and crm_provider_id = '51317301383'; # 5112\nselect * from opportunities where team_id = 2 and crm_provider_id = '55976759904'; # 5112\nselect * from opportunity_contacts where opportunity_id = 5117;\nselect * from crm_field_data where object_id = 1365;\nSELECT * FROM crm_fields WHERE id IN (1405, 1407, 1972, 2128);\n\nselect * from features;\nselect * from team_features where team_id IN (1);\nselect * from team_features where feature_id IN (36);\n\nSHOW CREATE TABLE opportunity_contacts;\nSELECT * FROM opportunity_contacts WHERE crm_provider_id = '111751';\n\n# $slug = 'HUBSPOT_WEBHOOK_SYNC';\n# $team = Jiminny\\Models\\Team::find(2);\n# $feature = Feature::query()->where('slug', $slug)->first();\n# TeamFeature::query()->create(['feature_id' => $feature->getId(),'team_id' => $team->getId()]);\n\n# hubspot_webhook_metrics\n\nselect * from opportunities where team_id = 2 and crm_provider_id IN ('374720564','14527423589','49908861993','50435771779'); # 1365\nSELECT * FROM opportunity_contacts WHERE opportunity_id = '414';\nSELECT * FROM opportunity_contacts WHERE crm_provider_id = '131501';\nselect * from contacts where id in (414, 464);\n\nselect * from activities where crm_configuration_id = 2;\n\nselect settings from crm_configurations where id = 11;\n\nselect * from teams; # 1, 2\nselect * from users;\nselect * from crm_configurations where id = 39;\nselect * from team_features where team_id = 2;\nselect * from features;\n# SELECT * FROM opportunities WHERE crm_configuration_id = 2\n# order by id desc;\n# and crm_provider_id = '49908861993';\n\n\nselect * from activity_providers where id IN (443, 202, 203, 227);\n\nselect * from activity_imports where id = 795889;\n\nselect c.id, c.provider, c.settings, t.* from teams t join crm_configurations c on t.id = c.team_id\nwhere c.provider = 'hubspot';\n\nselect * from crm_configurations crm JOIN teams t on crm.team_id = t.id\nwhere provider = 'hubspot';\nSELECT * FROM teams WHERE id = 31;\nSELECT * FROM users WHERE id = 257;\nSELECT * FROM opportunities WHERE team_id = 2;\n\nselect * from opportunity_contacts where opportunity_id = 5124;\nselect * from contacts where id IN (3850,3853,3851,4073,4140,4155,4480,4530,4623,5986,513,687,1806,1523,3613)\n\nselect * from activities where crm_configuration_id = 13;\n\nSELECT * FROM activities WHERE uuid_to_bin('826619ce-ec8e-4e59-8467-a01f5f6ad71e') = uuid; # 418141\n\n\nselect id, team_id, crm_provider_id from crm_configurations where provider = 'hubspot' and crm_provider_id IS NOT NULL;\nSELECT * FROM accounts WHERE team_id = 2 and crm_provider_id = '1212213464' order by id desc;\nSELECT * FROM contacts WHERE team_id = 2 and account_id = 5189 order by id desc;\nSELECT * FROM contacts WHERE team_id = 2 order by id desc;\nselect * from opportunity_contacts where contact_id = 6223;\nSELECT * FROM opportunities WHERE team_id = 2 and account_id = 5189 order by id desc;\n\nselect * from crm_profiles where crm_configuration_id = 2;\n\nselect * from activities where account_id = 46;","depth":4,"on_screen":true,"value":"# **************************** HS **************************************\n\nselect * from teams where id = 2; # 2\nselect * from features; # 2\nselect * from team_features where team_id = 2; # 2\nselect * from crm_configurations where id = 2; # 2\nselect * from users where team_id = 2; #\nselect * from playbooks where team_id = 2; # event 38\nselect * from playbook_categories where playbook_id = 38; #\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id is not null order by id desc;\nhttps://app.hubspot.com/contacts/4392066/deal/16964514951/?engagement=96069102624\n https://app.staging.jiminny.com/playback/d5df34dc-bd66-4ff5-a7b3-8d3be30322a0\n\nSELECT * FROM activities WHERE uuid_to_bin('04fdcd0d-818f-4c53-92dc-6f18bc753ffd') = uuid;\n# 609126 softphone tr. 11241\n\nSELECT * FROM activities WHERE uuid_to_bin('6521bfcd-5a30-46e5-9f74-5440fd48befd') = uuid;\n# 608874 conference tr. 11226 crmId: 103422236596\n\nselect * from ai_prompts where transcription_id IN (11241, 11226);\nselect * from activity_summary_logs where activity_id = 608874;\n\nselect * from sidekick_settings;\nselect * from default_activity_types;\n\nselect * from crm_field_data where activity_id = 1223;\n\nselect * from crm_layouts where crm_configuration_id = 2;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id IN (554);\nselect * from crm_fields where crm_configuration_id = 11 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id IN (1455,1450);\n\nSELECT * FROM crm_field_data WHERE crm_layout_entity_id = 971;\nSELECT * FROM crm_field_data WHERE crm_layout_entity_id IN (6494,6495,6496,6497,6498,6499);\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u\n on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 2 and sa.provider = 'hubspot';\n\nselect * from opportunities where team_id = 2\nand crm_provider_id IN ('51317301383');\n\nselect * from contacts where id = 85;\n\nselect * from opportunities where team_id = 2 order by id desc;\nselect * from opportunities where team_id = 2 and crm_provider_id = '51317301383'; # 5112\nselect * from opportunities where team_id = 2 and crm_provider_id = '55976759904'; # 5112\nselect * from opportunity_contacts where opportunity_id = 5117;\nselect * from crm_field_data where object_id = 1365;\nSELECT * FROM crm_fields WHERE id IN (1405, 1407, 1972, 2128);\n\nselect * from features;\nselect * from team_features where team_id IN (1);\nselect * from team_features where feature_id IN (36);\n\nSHOW CREATE TABLE opportunity_contacts;\nSELECT * FROM opportunity_contacts WHERE crm_provider_id = '111751';\n\n# $slug = 'HUBSPOT_WEBHOOK_SYNC';\n# $team = Jiminny\\Models\\Team::find(2);\n# $feature = Feature::query()->where('slug', $slug)->first();\n# TeamFeature::query()->create(['feature_id' => $feature->getId(),'team_id' => $team->getId()]);\n\n# hubspot_webhook_metrics\n\nselect * from opportunities where team_id = 2 and crm_provider_id IN ('374720564','14527423589','49908861993','50435771779'); # 1365\nSELECT * FROM opportunity_contacts WHERE opportunity_id = '414';\nSELECT * FROM opportunity_contacts WHERE crm_provider_id = '131501';\nselect * from contacts where id in (414, 464);\n\nselect * from activities where crm_configuration_id = 2;\n\nselect settings from crm_configurations where id = 11;\n\nselect * from teams; # 1, 2\nselect * from users;\nselect * from crm_configurations where id = 39;\nselect * from team_features where team_id = 2;\nselect * from features;\n# SELECT * FROM opportunities WHERE crm_configuration_id = 2\n# order by id desc;\n# and crm_provider_id = '49908861993';\n\n\nselect * from activity_providers where id IN (443, 202, 203, 227);\n\nselect * from activity_imports where id = 795889;\n\nselect c.id, c.provider, c.settings, t.* from teams t join crm_configurations c on t.id = c.team_id\nwhere c.provider = 'hubspot';\n\nselect * from crm_configurations crm JOIN teams t on crm.team_id = t.id\nwhere provider = 'hubspot';\nSELECT * FROM teams WHERE id = 31;\nSELECT * FROM users WHERE id = 257;\nSELECT * FROM opportunities WHERE team_id = 2;\n\nselect * from opportunity_contacts where opportunity_id = 5124;\nselect * from contacts where id IN (3850,3853,3851,4073,4140,4155,4480,4530,4623,5986,513,687,1806,1523,3613)\n\nselect * from activities where crm_configuration_id = 13;\n\nSELECT * FROM activities WHERE uuid_to_bin('826619ce-ec8e-4e59-8467-a01f5f6ad71e') = uuid; # 418141\n\n\nselect id, team_id, crm_provider_id from crm_configurations where provider = 'hubspot' and crm_provider_id IS NOT NULL;\nSELECT * FROM accounts WHERE team_id = 2 and crm_provider_id = '1212213464' order by id desc;\nSELECT * FROM contacts WHERE team_id = 2 and account_id = 5189 order by id desc;\nSELECT * FROM contacts WHERE team_id = 2 order by id desc;\nselect * from opportunity_contacts where contact_id = 6223;\nSELECT * FROM opportunities WHERE team_id = 2 and account_id = 5189 order by id desc;\n\nselect * from crm_profiles where crm_configuration_id = 2;\n\nselect * from activities where account_id = 46;","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directoryβ¦","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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2074680292416077405
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
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Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
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# [PASSWORD_DOTS] HS [PASSWORD_DOTS]
select * from teams where id = 2; # 2
select * from features; # 2
select * from team_features where team_id = 2; # 2
select * from crm_configurations where id = 2; # 2
select * from users where team_id = 2; #
select * from playbooks where team_id = 2; # event 38
select * from playbook_categories where playbook_id = 38; #
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id is not null order by id desc;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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2026-05-07T11:01:30.757073+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151690757_m1.jpg...
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iTerm2
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Last login: Thu May 7 09:44:56 on ttys006
Poetry Last login: Thu May 7 09:44:56 on ttys006
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $
DOCKER
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DEV (-zsh)
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APP (-zsh)
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-zsh
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screenpipe"
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β₯β1
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click
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accessibility
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Last login: Thu May 7 09:44:56 on ttys006
Poetry Last login: Thu May 7 09:44:56 on ttys006
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
DEV (-zsh)...
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NULL
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NULL
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NULL
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NULL
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2091
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97
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20
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2026-05-07T11:01:32.591594+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151692591_m1.jpg...
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iTerm2
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PROD (ssh)
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True
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NULL
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monitor_1
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NULL
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NULL
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
β₯1Β Β Β DOCKER (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
PROD (ssh)...
|
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
β₯1Β Β Β DOCKER (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
PROD (ssh)...
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2089
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NULL
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NULL
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NULL
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2093
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97
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21
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2026-05-07T11:01:33.109606+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151693109_m1.jpg...
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iTerm2
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DOCKER (-zsh)
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True
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NULL
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monitor_1
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NULL
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
β₯1Β Β Β DOCKER (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
DOCKER (-zsh)...
|
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parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.70944446,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯6Β Β Β FE (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.71,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ 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parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.85944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯7Β Β Β EXT (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.86,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close 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click
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accessibility
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
β₯1Β Β Β DOCKER (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
DOCKER (-zsh)...
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NULL
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NULL
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NULL
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NULL
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2095
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97
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22
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2026-05-07T11:01:36.591780+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151696591_m1.jpg...
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iTerm2
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DOCKER (docker-compose)
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
Menu
β₯1Β Β Β DOCKER (docker-compose)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
DOCKER (docker-compose)...
|
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security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 27 07:45:27 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","depth":5,"on_screen":true,"value":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 08:01:12 UTC 2026\n\n System load: 0.0 Processes: 144\n Usage of /: 58.4% of 7.57GB Users logged in: 5\n Memory usage: 37% IPv4 address for eth0: 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parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.5594444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯5Β Β Β QA (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.56,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ 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parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.70944446,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯6Β Β Β FE (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.71,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.8622222,"width":0.4986111,"height":0.13777778},"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.85944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯7Β Β Β EXT (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.86,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close 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6130790982009516164
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-1097868789305425901
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visual_change
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accessibility
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NULL
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
Menu
β₯1Β Β Β DOCKER (docker-compose)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
DOCKER (docker-compose)...
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2093
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NULL
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NULL
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NULL
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2096
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97
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23
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2026-05-07T11:01:38.367799+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151698367_m1.jpg...
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iTerm2
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STAGE (-zsh)
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
[+] Running 0/3
β redis Pulling 0.1s
β mariadb Pulling 0.1s
β jiminny_ext Pulling 0.1s
Menu
β₯1Β Β Β DOCKER (docker-credential-osxkeychain)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
STAGE (-zsh)...
|
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login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work\nWARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion \n[+] Running 0/3\n β redis Pulling 0.1s \n β mariadb Pulling 0.1s \n β jiminny_ext Pulling 0.1s","is_focused":true},{"role":"AXButton","text":"Menu","depth":3,"bounds":{"left":0.4861111,"top":0.08944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯1Β Β Β DOCKER (docker-credential-osxkeychain)","depth":3,"bounds":{"left":0.01875,"top":0.09,"width":0.46388888,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 08:01:12 UTC 2026\n\n System load: 0.0 Processes: 144\n Usage of /: 58.4% of 7.57GB Users logged in: 5\n Memory usage: 37% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n38 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 27 07:45:27 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","depth":5,"on_screen":true,"value":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 08:01:12 UTC 2026\n\n System load: 0.0 Processes: 144\n Usage of /: 58.4% of 7.57GB Users logged in: 5\n Memory usage: 37% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n38 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 27 07:45:27 2026 from 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parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.23944445,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯3Β Β Β EU (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.24,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ 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parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.40944445,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯4Β Β Β STAGE (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.41,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys002\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ 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parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.5594444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯5Β Β Β QA (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.56,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.7322222,"width":0.4986111,"height":0.12222222},"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.70944446,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯6Β Β Β FE (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.71,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.8622222,"width":0.4986111,"height":0.13777778},"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.85944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯7Β Β Β EXT (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.86,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close 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8723391530282055945
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click
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accessibility
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
[+] Running 0/3
β redis Pulling 0.1s
β mariadb Pulling 0.1s
β jiminny_ext Pulling 0.1s
Menu
β₯1Β Β Β DOCKER (docker-credential-osxkeychain)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯4Β Β Β STAGE (-zsh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
STAGE (-zsh)...
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NULL
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NULL
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NULL
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2098
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97
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24
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2026-05-07T11:01:39.704895+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151699704_m1.jpg...
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iTerm2
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STAGE (ssh)
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
[+] Running 2/3
β redis Pulled 1.4s
β Ό mariadb Pulling 1.5s
β jiminny_ext Pulled 1.4s
Menu
β₯1Β Β Β DOCKER (docker-compose)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg
Menu
β₯4Β Β Β STAGE (ssh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
STAGE (ssh)...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work\nWARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion \n[+] Running 2/3\n β redis Pulled 1.4s \n β Ό mariadb Pulling 1.5s \n β jiminny_ext Pulled 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login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work\nWARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion \n[+] Running 2/3\n β redis Pulled 1.4s \n β Ό mariadb Pulling 1.5s \n β jiminny_ext Pulled 1.4s","is_focused":true},{"role":"AXButton","text":"Menu","depth":3,"bounds":{"left":0.4861111,"top":0.08944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯1Β Β Β DOCKER 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https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n38 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 27 07:45:27 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","depth":5,"on_screen":true,"value":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 08:01:12 UTC 2026\n\n System load: 0.0 Processes: 144\n Usage of /: 58.4% of 7.57GB Users logged in: 5\n Memory usage: 37% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n38 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 27 07:45:27 2026 from 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-7439989076345673857
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-1097868789322202093
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visual_change
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accessibility
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NULL
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Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
[+] Running 2/3
β redis Pulled 1.4s
β Ό mariadb Pulling 1.5s
β jiminny_ext Pulled 1.4s
Menu
β₯1Β Β Β DOCKER (docker-compose)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg
Menu
β₯4Β Β Β STAGE (ssh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
STAGE (ssh)...
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2096
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NULL
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NULL
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NULL
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|
2099
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97
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25
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2026-05-07T11:01:42.681600+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151702681_m1.jpg...
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Raycast
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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JIMINNY MFA
(
223978
AWS
Amazon Web Services
73685 JIMINNY MFA
(
223978
AWS
Amazon Web Services
736854
BambooHR
jiminny.bamboohr.com
431678
GitHub: LakyLak
GitHub
461393
Hubspot MS
615637
Jiminny, Inc.: [EMAIL].c
Microsoft
520877
Slack (Jiminny Inc): [EMAIL]
Slack
621357
Google: [EMAIL]
Google
711167
Heroku: Lukas Kovalik
Heroku
891227
Lukas
033628
JetBrains Account: [EMAIL]
JetBrains Account
273513
Username: kovaliklukas
Instagram
230884
Output OTP
οΏΌ
β΅
Actions
οΏΌ
β
οΏΌ
K
Search Token...
|
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Services","depth":5,"bounds":{"left":0.52916664,"top":0.43666667,"width":0.103125,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"736854","depth":5,"bounds":{"left":0.91736114,"top":0.43666667,"width":0.036805555,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"BambooHR","depth":5,"bounds":{"left":0.5,"top":0.4811111,"width":0.054166667,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"jiminny.bamboohr.com","depth":5,"bounds":{"left":0.55694443,"top":0.4811111,"width":0.103472225,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"431678","depth":5,"bounds":{"left":0.91944444,"top":0.4811111,"width":0.034722224,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"GitHub: LakyLak","depth":5,"bounds":{"left":0.5,"top":0.52555555,"width":0.07673611,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"GitHub","depth":5,"bounds":{"left":0.5795139,"top":0.52555555,"width":0.03576389,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"461393","depth":5,"bounds":{"left":0.91875,"top":0.52555555,"width":0.035416666,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Hubspot MS","depth":5,"bounds":{"left":0.5,"top":0.57,"width":0.059027776,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"615637","depth":5,"bounds":{"left":0.91944444,"top":0.57,"width":0.034722224,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Jiminny, Inc.: lukas.kovalik@jiminny.onmicrosoft.c","depth":5,"bounds":{"left":0.5,"top":0.61444443,"width":0.21875,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Microsoft","depth":5,"bounds":{"left":0.72152776,"top":0.61444443,"width":0.046527777,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"520877","depth":5,"bounds":{"left":0.91805553,"top":0.61444443,"width":0.036111113,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Slack (Jiminny Inc): lukas.kovalik@jiminny.com","depth":5,"bounds":{"left":0.5,"top":0.6588889,"width":0.20590279,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Slack","depth":5,"bounds":{"left":0.70868057,"top":0.6588889,"width":0.029166667,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"621357","depth":5,"bounds":{"left":0.91944444,"top":0.6588889,"width":0.034722224,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Google: lukas.kovalik@jiminny.com","depth":5,"bounds":{"left":0.5,"top":0.7033333,"width":0.15763889,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Google","depth":5,"bounds":{"left":0.66041666,"top":0.7033333,"width":0.036805555,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"711167","depth":5,"bounds":{"left":0.9236111,"top":0.7033333,"width":0.030555556,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Heroku: Lukas Kovalik","depth":5,"bounds":{"left":0.5,"top":0.74777776,"width":0.10138889,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Heroku","depth":5,"bounds":{"left":0.6041667,"top":0.74777776,"width":0.03715278,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"891227","depth":5,"bounds":{"left":0.91944444,"top":0.74777776,"width":0.034722224,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas","depth":5,"bounds":{"left":0.5,"top":0.7922222,"width":0.03125,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"033628","depth":5,"bounds":{"left":0.91736114,"top":0.7922222,"width":0.036805555,"height":0.02},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"JetBrains Account: lukas.kovalik@jiminny.com","depth":5,"bounds":{"left":0.5,"top":0.83666664,"width":0.203125,"height":0.02},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"JetBrains Account","depth":5,"bounds":{"left":0.70590276,"top":0.83666664,"width":0.08506945,"height":0.02},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"273513","depth":5,"bounds":{"left":0.9201389,"top":0.83666664,"width":0.034027778,"height":0.02},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Username: kovaliklukas","depth":5,"bounds":{"left":0.5,"top":0.8811111,"width":0.10798611,"height":0.02},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Instagram","depth":5,"bounds":{"left":0.6107639,"top":0.8811111,"width":0.048958335,"height":0.02},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"230884","depth":5,"bounds":{"left":0.9166667,"top":0.8811111,"width":0.0375,"height":0.02},"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Output OTP","depth":1,"bounds":{"left":0.8201389,"top":0.805,"width":0.05,"height":0.016666668},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"οΏΌ","depth":1,"bounds":{"left":0.87430555,"top":0.79944444,"width":0.019444445,"height":0.027777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"β΅","depth":2,"bounds":{"left":0.87569445,"top":0.79944444,"width":0.016666668,"height":0.027777778},"on_screen":true,"role_description":"attached text","subrole":"AXTextAttachment"},{"role":"AXStaticText","text":"Actions","depth":1,"bounds":{"left":0.90902776,"top":0.805,"width":0.033680554,"height":0.016666668},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"οΏΌ","depth":1,"bounds":{"left":0.946875,"top":0.79944444,"width":0.019791666,"height":0.027777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"β","depth":2,"bounds":{"left":0.9482639,"top":0.79944444,"width":0.017013889,"height":0.027777778},"on_screen":true,"role_description":"attached text","subrole":"AXTextAttachment"},{"role":"AXStaticText","text":"οΏΌ","depth":1,"bounds":{"left":0.9652778,"top":0.79944444,"width":0.019444445,"height":0.027777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"K","depth":2,"bounds":{"left":0.96666664,"top":0.79944444,"width":0.016666668,"height":0.027777778},"on_screen":true,"role_description":"attached text","subrole":"AXTextAttachment"},{"role":"AXStaticText","text":"Search Token","depth":1,"bounds":{"left":0.49861112,"top":0.805,"width":0.057638887,"height":0.016666668},"on_screen":true,"role_description":"text"}]...
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-6228475217608630611
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111590036231987623
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visual_change
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accessibility
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NULL
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JIMINNY MFA
(
223978
AWS
Amazon Web Services
73685 JIMINNY MFA
(
223978
AWS
Amazon Web Services
736854
BambooHR
jiminny.bamboohr.com
431678
GitHub: LakyLak
GitHub
461393
Hubspot MS
615637
Jiminny, Inc.: [EMAIL].c
Microsoft
520877
Slack (Jiminny Inc): [EMAIL]
Slack
621357
Google: [EMAIL]
Google
711167
Heroku: Lukas Kovalik
Heroku
891227
Lukas
033628
JetBrains Account: [EMAIL]
JetBrains Account
273513
Username: kovaliklukas
Instagram
230884
Output OTP
οΏΌ
β΅
Actions
οΏΌ
β
οΏΌ
K
Search Token...
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NULL
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NULL
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NULL
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NULL
|
|
2100
|
97
|
26
|
2026-05-07T11:01:48.729884+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151708729_m1.jpg...
|
iTerm2
|
STAGE (ssh)
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
[+] Running 3/3
β redis Pulled 1.4s
β mariadb Pulled 1.6s
β jiminny_ext Pulled 1.4s
Attaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis
mariadb-1 | 2026-05-07 11:01:40+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.
redis | 1:C 07 May 2026 11:01:40.262 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
redis | 1:C 07 May 2026 11:01:40.264 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started
redis | 1:C 07 May 2026 11:01:40.264 # Configuration loaded
redis | 1:M 07 May 2026 11:01:40.270 * Running mode=standalone, port=6379.
redis | 1:M 07 May 2026 11:01:40.271 # Server initialized
redis | 1:M 07 May 2026 11:01:40.271 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.
redis | 1:M 07 May 2026 11:01:40.281 * Reading RDB preamble from AOF file...
redis | 1:M 07 May 2026 11:01:40.284 * Reading the remaining AOF tail...
blackfire-1 | [2026-05-07T11:01:40Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.
blackfire-1 | usage blackfire-agent [options]
blackfire-1 | --collector="[URL_WITH_CREDENTIALS] ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg
(lukas@jiminny-stage-bastion) Verification code:
Welcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1052-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯4Β Β Β STAGE (ssh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
STAGE (ssh)...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work\nWARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion \n[+] Running 3/3\n β redis Pulled 1.4s \n β mariadb Pulled 1.6s \n β jiminny_ext Pulled 1.4s \nAttaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis\nmariadb-1 | 2026-05-07 11:01:40+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\nredis | 1:C 07 May 2026 11:01:40.262 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo\nredis | 1:C 07 May 2026 11:01:40.264 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started\nredis | 1:C 07 May 2026 11:01:40.264 # Configuration loaded\nredis | 1:M 07 May 2026 11:01:40.270 * Running mode=standalone, port=6379.\nredis | 1:M 07 May 2026 11:01:40.271 # Server initialized\nredis | 1:M 07 May 2026 11:01:40.271 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.\nredis | 1:M 07 May 2026 11:01:40.281 * Reading RDB preamble from AOF file...\nredis | 1:M 07 May 2026 11:01:40.284 * Reading the remaining AOF tail...\nblackfire-1 | [2026-05-07T11:01:40Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.\nblackfire-1 | usage blackfire-agent [options]\nblackfire-1 | --collector=\"https://blackfire.io\": Sets the URL of Blackfire's data collector\nblackfire-1 | --config=\"/etc/blackfire/agent\": Sets the path to the configuration file\nblackfire-1 | -d: Prints the current configuration\nblackfire-1 | --http-proxy=\"\": Sets the HTTP proxy to use\nblackfire-1 | --https-proxy=\"\": Sets the HTTPS proxy to use\nblackfire-1 | --log-file=\"stderr\": Sets the path of the log file. Use stderr to log to stderr\nblackfire-1 | --log-level=\"1\": log verbosity level (4: debug, 3: info, 2: warning, 1: error)\nblackfire-1 | --register: Helps you with registering the agent\nblackfire-1 | --server-id=\"\": Sets the server id used to authenticate with Blackfire API\nblackfire-1 | --server-token=\"\": Sets the server token used to authenticate with Blackfire API. It is unsafe to set this from the command line\nblackfire-1 | --socket=\"unix:///var/run/blackfire/agent.sock\": Sets the socket the agent should read traces from. Possible value can be a unix socket or a TCP address. ie: unix:///var/run/blackfire/agent.sock or tcp://127.0.0.1:8307\nblackfire-1 | --test: Tests the configuration\nblackfire-1 | --timeout=\"15s\": Sets the Blackfire connection timeout\nblackfire-1 | -v: Prints the version number\njiminny_ext-1 exited with code 0\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"no configuration paths supplied\"\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"using configuration at default config path\" path=/home/ngrok/.ngrok2/ngrok.yml\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"open config file\" path=/home/ngrok/.ngrok2/ngrok.yml err=nil\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"starting web service\" obj=web addr=0.0.0.0:4040\nblackfire-1 exited with code 1\ndocker_lamp_1 | + main\ndocker_lamp_1 | + declare START_DIR\ndocker_lamp_1 | +++ realpath /scripts/init-dev\ndocker_lamp_1 | ++ dirname /scripts/init-dev\ndocker_lamp_1 | + START_DIR=/scripts\ndocker_lamp_1 | + readonly START_DIR\ndocker_lamp_1 | + source /scripts/storage_init.sh\ndocker_lamp_1 | ++ set -o errexit\ndocker_lamp_1 | ++ set -o nounset\ndocker_lamp_1 | ++ set -o pipefail\ndocker_lamp_1 | + create_bind_mount\ndocker_lamp_1 | + [[ 0 == \\1 ]]\ndocker_lamp_1 | + configure_xdebug\ndocker_lamp_1 | + j2 /root/.j2_templates/xdebug/xdebug.ini.j2\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Warn] [Entrypoint]: /sys/fs/cgroup///memory.pressure not writable, functionality unavailable to MariaDB\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: Switching to dedicated user 'mysql'\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\ndatadog-1 | [s6-init] making user provided files available at /var/run/s6/etc...exited 0.\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"tunnel session started\" obj=tunnels.session\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"client session established\" obj=csess id=90eb7500be85\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=\"command_line (http)\" addr=http://lamp:3080 url=http://lukask.ngrok.io\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=command_line addr=http://lamp:3080 url=https://lukask.ngrok.io\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: MariaDB upgrade information missing, assuming required\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: MariaDB upgrade (mariadb-upgrade or creating healthcheck users) required, but skipped due to $MARIADB_AUTO_UPGRADE setting\ndocker_lamp_1 | + configure_blackfire\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/extension.ini.j2\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Starting MariaDB 11.4.5-MariaDB-ubu2404 source revision 0771110266ff5c04216af4bf1243c65f8c67ccf4 server_uid aUIWkAdjfGlI6963G2UA3ldDt8I= as process 1\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Compressed tables use zlib 1.3\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Number of transaction pools: 1\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Using ARMv8 crc32 + pmull instructions\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Using liburing\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Initializing buffer pool, total size = 128.000MiB, chunk size = 2.000MiB\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Completed initialization of buffer pool\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: File system buffers for log disabled (block size=512 bytes)\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Starting crash recovery from checkpoint LSN=7623778565\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: End of log at LSN=7626809380\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: To recover: 462 pages\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/cli.ini.j2\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Last binlog file './mysql-bin.000150', position 6361306\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Opened 3 undo tablespaces\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: 128 rollback segments in 3 undo tablespaces are active.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Removed temporary tablespace data file: \"./ibtmp1\"\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Setting file './ibtmp1' size to 12.000MiB. Physically writing the file full; Please wait ...\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: File './ibtmp1' size is now 12.000MiB.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: log sequence number 7626809380; transaction id 11505099\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Loading buffer pool(s) from /var/lib/mysql/ib_buffer_pool\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Plugin 'FEEDBACK' is disabled.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Plugin 'wsrep-provider' is disabled.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Recovering after a crash using tc.log\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Starting table crash recovery...\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Crash table recovery finished.\ndocker_lamp_1 | + declare EMPTY_DB\ndocker_lamp_1 | + db_is_empty\ndocker_lamp_1 | ++ find /var/lib/mysql/ -maxdepth 1\ndocker_lamp_1 | ++ wc -l\ndocker_lamp_1 | + [[ 11 -lt 5 ]]\ndocker_lamp_1 | + EMPTY_DB=0\ndocker_lamp_1 | + readonly EMPTY_DB\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndocker_lamp_1 | + [[ local == \\l\\o\\c\\a\\l ]]\ndocker_lamp_1 | + set_nginx_domain dev.jiminny.com\ndocker_lamp_1 | + declare -r DOMAIN_NAME=dev.jiminny.com\ndocker_lamp_1 | + cp -f /etc/nginx/nginx_template.conf /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_DOMAIN~app.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_EXT_DOMAIN~ext.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_WEB_DOMAIN~www.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n 3399 ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext:8080~http://jiminny_ext:3399~g' /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n host.docker.internal ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext~http://host.docker.internal~g' /etc/nginx/nginx.conf\nngrok | t=2026-05-07T11:01:42+0000 lvl=info msg=\"update available\" obj=updater\ndocker_lamp_1 | + build_dev\ndocker_lamp_1 | + cd /home/jiminny/\ndocker_lamp_1 | + create_dot_env_local_file\ndocker_lamp_1 | + cp -f /home/jiminny/.env.local /home/jiminny/.env.local.bak\ndocker_lamp_1 | + create_dot_env\ndocker_lamp_1 | + [[ -f /home/jiminny/.env ]]\ndocker_lamp_1 | + return\ndocker_lamp_1 | + declare DB_ADMIN_PASSWORD\ndocker_lamp_1 | + declare DB_ADMIN_USERNAME\ndocker_lamp_1 | + declare DB_DEV_PASSWORD\ndocker_lamp_1 | + declare DB_DEV_USERNAME\ndocker_lamp_1 | + declare DB_ROOT_PASSWORD\ndocker_lamp_1 | + declare DB_ROOT_USERNAME\ndocker_lamp_1 | + declare DB_WEB_PASSWORD\ndocker_lamp_1 | + declare DB_WEB_USERNAME\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_PASSWORD /home/jiminny/dev.json\nmariadb-1 | 2026-05-07 11:01:42 0 [Note] InnoDB: Buffer pool(s) load completed at 260507 11:01:42\ndocker_lamp_1 | + DB_ADMIN_PASSWORD='dgyt$rTe21-d'\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | ++ jq -r .DB_DEV_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_PASSWORD=rTr4sdQA65-Ad\ndocker_lamp_1 | ++ jq -r .DB_DEV_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | ++ jq -r .DB_ROOT_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | ++ jq -r .DB_ROOT_USERNAME /home/jiminny/dev.json\ndatadog-1 | [s6-init] ensuring user provided files have correct perms...exited 0.\ndatadog-1 | [fix-attrs.d] applying ownership & permissions fixes...\ndocker_lamp_1 | + DB_ROOT_USERNAME=root\ndocker_lamp_1 | ++ jq -r .DB_WEB_PASSWORD /home/jiminny/dev.json\ndatadog-1 | [fix-attrs.d] done.\ndatadog-1 | [cont-init.d] executing container initialization scripts...\ndocker_lamp_1 | + DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | ++ jq -r .DB_WEB_USERNAME /home/jiminny/dev.json\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: executing... \ndocker_lamp_1 | + DB_WEB_USERNAME=jmnyweb\ndocker_lamp_1 | + readonly DB_ADMIN_PASSWORD\ndocker_lamp_1 | + readonly DB_ADMIN_USERNAME\ndocker_lamp_1 | + readonly DB_DEV_PASSWORD\ndocker_lamp_1 | + readonly DB_DEV_USERNAME\ndocker_lamp_1 | + readonly DB_ROOT_PASSWORD\ndocker_lamp_1 | + readonly DB_ROOT_USERNAME\ndocker_lamp_1 | + readonly DB_WEB_PASSWORD\ndocker_lamp_1 | + readonly DB_WEB_USERNAME\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=jmnyadmin~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=dgyt$rTe21-d~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_HOST=.*$~DB_HOST=mariadb~g' /home/jiminny/.env\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.root\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.migrate\ndatadog-1 | \ndatadog-1 | ==================================================================================\ndatadog-1 | You must set an DD_API_KEY environment variable to run the Datadog Agent container\ndatadog-1 | ==================================================================================\ndatadog-1 | \ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.root\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: exited 1.\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.root\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.local\ndocker_lamp_1 | + echo ''\ndocker_lamp_1 | + echo 'DB_ADMIN_PASSWORD=dgyt$rTe21-d'\ndocker_lamp_1 | + echo DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | + echo DB_DEV_PASSWORD=rTr4sdQA65-Ad\ndocker_lamp_1 | + echo DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | + echo DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | + echo DB_ROOT_USERNAME=root\ndocker_lamp_1 | + echo DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | + echo DB_WEB_USERNAME=jmnyweb\ndocker_lamp_1 | + [[ false == \\f\\a\\l\\s\\e ]]\ndocker_lamp_1 | + declare COMPOSER_PARAM=--prefer-dist\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndocker_lamp_1 | + composer install --prefer-dist\ndatadog-1 exited with code 1\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] Server socket created on IP: '0.0.0.0'.\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] Server socket created on IP: '::'.\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] mariadbd: Event Scheduler: Loaded 0 events\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] mariadbd: ready for connections.\nmariadb-1 | Version: '11.4.5-MariaDB-ubu2404' socket: '/run/mysqld/mysqld.sock' port: 3306 mariadb.org binary distribution\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-05-07T11:01:45,623Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"version[7.10.2], pid[6], build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-05-07T11:01:45,628Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-05-07T11:01:45,628Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM arguments [-Xshare:auto, -Des.networkaddress.cache.ttl=60, -Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow, -XX:+ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.locale.providers=SPI,COMPAT, -Xms1g, -Xmx1g, -XX:+UseG1GC, -XX:G1ReservePercent=25, -XX:InitiatingHeapOccupancyPercent=30, -Djava.io.tmpdir=/tmp/elasticsearch-11320774102753104301, -XX:+HeapDumpOnOutOfMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m, -Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m, -XX:MaxDirectMemorySize=367001600, -Des.path.home=/usr/share/elasticsearch, -Des.path.conf=/usr/share/elasticsearch/config, -Des.distribution.flavor=default, -Des.distribution.type=docker, -Des.bundled_jdk=true]\" }\ndocker_lamp_1 | Installing dependencies from lock file (including require-dev)\ndocker_lamp_1 | Verifying lock file contents can be installed on current platform.\ndocker_lamp_1 | Package operations: 0 installs, 2 updates, 1 removal\ndocker_lamp_1 | As there is no 'unzip' nor '7z' command installed zip files are being unpacked using the PHP zip extension.\ndocker_lamp_1 | This may cause invalid reports of corrupted archives. Besides, any UNIX permissions (e.g. executable) defined in the archives will be lost.\ndocker_lamp_1 | Installing 'unzip' or '7z' (21.01+) may remediate them.\ndocker_lamp_1 | - Downloading symfony/polyfill-php85 (v1.37.0)\ndocker_lamp_1 | - Syncing symfony/error-handler (v7.4.8) into cache\n\n\nv View in Docker Desktop o View Config w Enable Watch","depth":4,"on_screen":true,"value":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work\nWARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion \n[+] Running 3/3\n β redis Pulled 1.4s \n β mariadb Pulled 1.6s \n β jiminny_ext Pulled 1.4s \nAttaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis\nmariadb-1 | 2026-05-07 11:01:40+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\nredis | 1:C 07 May 2026 11:01:40.262 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo\nredis | 1:C 07 May 2026 11:01:40.264 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started\nredis | 1:C 07 May 2026 11:01:40.264 # Configuration loaded\nredis | 1:M 07 May 2026 11:01:40.270 * Running mode=standalone, port=6379.\nredis | 1:M 07 May 2026 11:01:40.271 # Server initialized\nredis | 1:M 07 May 2026 11:01:40.271 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.\nredis | 1:M 07 May 2026 11:01:40.281 * Reading RDB preamble from AOF file...\nredis | 1:M 07 May 2026 11:01:40.284 * Reading the remaining AOF tail...\nblackfire-1 | [2026-05-07T11:01:40Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.\nblackfire-1 | usage blackfire-agent [options]\nblackfire-1 | --collector=\"https://blackfire.io\": Sets the URL of Blackfire's data collector\nblackfire-1 | --config=\"/etc/blackfire/agent\": Sets the path to the configuration file\nblackfire-1 | -d: Prints the current configuration\nblackfire-1 | --http-proxy=\"\": Sets the HTTP proxy to use\nblackfire-1 | --https-proxy=\"\": Sets the HTTPS proxy to use\nblackfire-1 | --log-file=\"stderr\": Sets the path of the log file. Use stderr to log to stderr\nblackfire-1 | --log-level=\"1\": log verbosity level (4: debug, 3: info, 2: warning, 1: error)\nblackfire-1 | --register: Helps you with registering the agent\nblackfire-1 | --server-id=\"\": Sets the server id used to authenticate with Blackfire API\nblackfire-1 | --server-token=\"\": Sets the server token used to authenticate with Blackfire API. It is unsafe to set this from the command line\nblackfire-1 | --socket=\"unix:///var/run/blackfire/agent.sock\": Sets the socket the agent should read traces from. Possible value can be a unix socket or a TCP address. ie: unix:///var/run/blackfire/agent.sock or tcp://127.0.0.1:8307\nblackfire-1 | --test: Tests the configuration\nblackfire-1 | --timeout=\"15s\": Sets the Blackfire connection timeout\nblackfire-1 | -v: Prints the version number\njiminny_ext-1 exited with code 0\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"no configuration paths supplied\"\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"using configuration at default config path\" path=/home/ngrok/.ngrok2/ngrok.yml\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"open config file\" path=/home/ngrok/.ngrok2/ngrok.yml err=nil\nngrok | t=2026-05-07T11:01:40+0000 lvl=info msg=\"starting web service\" obj=web addr=0.0.0.0:4040\nblackfire-1 exited with code 1\ndocker_lamp_1 | + main\ndocker_lamp_1 | + declare START_DIR\ndocker_lamp_1 | +++ realpath /scripts/init-dev\ndocker_lamp_1 | ++ dirname /scripts/init-dev\ndocker_lamp_1 | + START_DIR=/scripts\ndocker_lamp_1 | + readonly START_DIR\ndocker_lamp_1 | + source /scripts/storage_init.sh\ndocker_lamp_1 | ++ set -o errexit\ndocker_lamp_1 | ++ set -o nounset\ndocker_lamp_1 | ++ set -o pipefail\ndocker_lamp_1 | + create_bind_mount\ndocker_lamp_1 | + [[ 0 == \\1 ]]\ndocker_lamp_1 | + configure_xdebug\ndocker_lamp_1 | + j2 /root/.j2_templates/xdebug/xdebug.ini.j2\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Warn] [Entrypoint]: /sys/fs/cgroup///memory.pressure not writable, functionality unavailable to MariaDB\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: Switching to dedicated user 'mysql'\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.\ndatadog-1 | [s6-init] making user provided files available at /var/run/s6/etc...exited 0.\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"tunnel session started\" obj=tunnels.session\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"client session established\" obj=csess id=90eb7500be85\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=\"command_line (http)\" addr=http://lamp:3080 url=http://lukask.ngrok.io\nngrok | t=2026-05-07T11:01:41+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=command_line addr=http://lamp:3080 url=https://lukask.ngrok.io\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: MariaDB upgrade information missing, assuming required\nmariadb-1 | 2026-05-07 11:01:41+00:00 [Note] [Entrypoint]: MariaDB upgrade (mariadb-upgrade or creating healthcheck users) required, but skipped due to $MARIADB_AUTO_UPGRADE setting\ndocker_lamp_1 | + configure_blackfire\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/extension.ini.j2\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Starting MariaDB 11.4.5-MariaDB-ubu2404 source revision 0771110266ff5c04216af4bf1243c65f8c67ccf4 server_uid aUIWkAdjfGlI6963G2UA3ldDt8I= as process 1\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Compressed tables use zlib 1.3\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Number of transaction pools: 1\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Using ARMv8 crc32 + pmull instructions\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Using liburing\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Initializing buffer pool, total size = 128.000MiB, chunk size = 2.000MiB\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Completed initialization of buffer pool\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: File system buffers for log disabled (block size=512 bytes)\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Starting crash recovery from checkpoint LSN=7623778565\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: End of log at LSN=7626809380\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: To recover: 462 pages\ndocker_lamp_1 | + j2 /root/.j2_templates/blackfire/cli.ini.j2\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Last binlog file './mysql-bin.000150', position 6361306\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Opened 3 undo tablespaces\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: 128 rollback segments in 3 undo tablespaces are active.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Removed temporary tablespace data file: \"./ibtmp1\"\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Setting file './ibtmp1' size to 12.000MiB. Physically writing the file full; Please wait ...\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: File './ibtmp1' size is now 12.000MiB.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: log sequence number 7626809380; transaction id 11505099\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] InnoDB: Loading buffer pool(s) from /var/lib/mysql/ib_buffer_pool\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Plugin 'FEEDBACK' is disabled.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Plugin 'wsrep-provider' is disabled.\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Recovering after a crash using tc.log\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Starting table crash recovery...\nmariadb-1 | 2026-05-07 11:01:41 0 [Note] Crash table recovery finished.\ndocker_lamp_1 | + declare EMPTY_DB\ndocker_lamp_1 | + db_is_empty\ndocker_lamp_1 | ++ find /var/lib/mysql/ -maxdepth 1\ndocker_lamp_1 | ++ wc -l\ndocker_lamp_1 | + [[ 11 -lt 5 ]]\ndocker_lamp_1 | + EMPTY_DB=0\ndocker_lamp_1 | + readonly EMPTY_DB\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndocker_lamp_1 | + [[ local == \\l\\o\\c\\a\\l ]]\ndocker_lamp_1 | + set_nginx_domain dev.jiminny.com\ndocker_lamp_1 | + declare -r DOMAIN_NAME=dev.jiminny.com\ndocker_lamp_1 | + cp -f /etc/nginx/nginx_template.conf /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_DOMAIN~app.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_EXT_DOMAIN~ext.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + sed -i -E s~_JIMINNY_WEB_DOMAIN~www.dev.jiminny.com~g /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n 3399 ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext:8080~http://jiminny_ext:3399~g' /etc/nginx/nginx.conf\ndocker_lamp_1 | + [[ -n host.docker.internal ]]\ndocker_lamp_1 | + sed -i -E 's~http:\\/\\/jiminny_ext~http://host.docker.internal~g' /etc/nginx/nginx.conf\nngrok | t=2026-05-07T11:01:42+0000 lvl=info msg=\"update available\" obj=updater\ndocker_lamp_1 | + build_dev\ndocker_lamp_1 | + cd /home/jiminny/\ndocker_lamp_1 | + create_dot_env_local_file\ndocker_lamp_1 | + cp -f /home/jiminny/.env.local /home/jiminny/.env.local.bak\ndocker_lamp_1 | + create_dot_env\ndocker_lamp_1 | + [[ -f /home/jiminny/.env ]]\ndocker_lamp_1 | + return\ndocker_lamp_1 | + declare DB_ADMIN_PASSWORD\ndocker_lamp_1 | + declare DB_ADMIN_USERNAME\ndocker_lamp_1 | + declare DB_DEV_PASSWORD\ndocker_lamp_1 | + declare DB_DEV_USERNAME\ndocker_lamp_1 | + declare DB_ROOT_PASSWORD\ndocker_lamp_1 | + declare DB_ROOT_USERNAME\ndocker_lamp_1 | + declare DB_WEB_PASSWORD\ndocker_lamp_1 | + declare DB_WEB_USERNAME\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_PASSWORD /home/jiminny/dev.json\nmariadb-1 | 2026-05-07 11:01:42 0 [Note] InnoDB: Buffer pool(s) load completed at 260507 11:01:42\ndocker_lamp_1 | + DB_ADMIN_PASSWORD='dgyt$rTe21-d'\ndocker_lamp_1 | ++ jq -r .DB_ADMIN_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | ++ jq -r .DB_DEV_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_PASSWORD=rTr4sdQA65-Ad\ndocker_lamp_1 | ++ jq -r .DB_DEV_USERNAME /home/jiminny/dev.json\ndocker_lamp_1 | + DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | ++ jq -r .DB_ROOT_PASSWORD /home/jiminny/dev.json\ndocker_lamp_1 | + DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | ++ jq -r .DB_ROOT_USERNAME /home/jiminny/dev.json\ndatadog-1 | [s6-init] ensuring user provided files have correct perms...exited 0.\ndatadog-1 | [fix-attrs.d] applying ownership & permissions fixes...\ndocker_lamp_1 | + DB_ROOT_USERNAME=root\ndocker_lamp_1 | ++ jq -r .DB_WEB_PASSWORD /home/jiminny/dev.json\ndatadog-1 | [fix-attrs.d] done.\ndatadog-1 | [cont-init.d] executing container initialization scripts...\ndocker_lamp_1 | + DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | ++ jq -r .DB_WEB_USERNAME /home/jiminny/dev.json\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: executing... \ndocker_lamp_1 | + DB_WEB_USERNAME=jmnyweb\ndocker_lamp_1 | + readonly DB_ADMIN_PASSWORD\ndocker_lamp_1 | + readonly DB_ADMIN_USERNAME\ndocker_lamp_1 | + readonly DB_DEV_PASSWORD\ndocker_lamp_1 | + readonly DB_DEV_USERNAME\ndocker_lamp_1 | + readonly DB_ROOT_PASSWORD\ndocker_lamp_1 | + readonly DB_ROOT_USERNAME\ndocker_lamp_1 | + readonly DB_WEB_PASSWORD\ndocker_lamp_1 | + readonly DB_WEB_USERNAME\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=jmnyadmin~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=dgyt$rTe21-d~g' /home/jiminny/.env\ndocker_lamp_1 | + sed -i -E 's~DB_HOST=.*$~DB_HOST=mariadb~g' /home/jiminny/.env\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.root\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.migrate\ndatadog-1 | \ndatadog-1 | ==================================================================================\ndatadog-1 | You must set an DD_API_KEY environment variable to run the Datadog Agent container\ndatadog-1 | ==================================================================================\ndatadog-1 | \ndocker_lamp_1 | + sed -i -E 's~DB_PASSWORD=.*$~DB_PASSWORD=b7h5-1fH3e54J~g' /home/jiminny/.env.root\ndatadog-1 | [cont-init.d] 01-check-apikey.sh: exited 1.\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.migrate\ndocker_lamp_1 | + sed -i -E 's~DB_USERNAME=.*$~DB_USERNAME=root~g' /home/jiminny/.env.root\ndocker_lamp_1 | + cp -f /home/jiminny/.env /home/jiminny/.env.local\ndocker_lamp_1 | + echo ''\ndocker_lamp_1 | + echo 'DB_ADMIN_PASSWORD=dgyt$rTe21-d'\ndocker_lamp_1 | + echo DB_ADMIN_USERNAME=jmnyadmin\ndocker_lamp_1 | + echo DB_DEV_PASSWORD=rTr4sdQA65-Ad\ndocker_lamp_1 | + echo DB_DEV_USERNAME=jmnydev\ndocker_lamp_1 | + echo DB_ROOT_PASSWORD=b7h5-1fH3e54J\ndocker_lamp_1 | + echo DB_ROOT_USERNAME=root\ndocker_lamp_1 | + echo DB_WEB_PASSWORD=aR5-EWf23b8da\ndocker_lamp_1 | + echo DB_WEB_USERNAME=jmnyweb\ndocker_lamp_1 | + [[ false == \\f\\a\\l\\s\\e ]]\ndocker_lamp_1 | + declare COMPOSER_PARAM=--prefer-dist\ndocker_lamp_1 | + [[ 0 -eq 1 ]]\ndocker_lamp_1 | + composer install --prefer-dist\ndatadog-1 exited with code 1\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] Server socket created on IP: '0.0.0.0'.\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] Server socket created on IP: '::'.\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] mariadbd: Event Scheduler: Loaded 0 events\nmariadb-1 | 2026-05-07 11:01:43 0 [Note] mariadbd: ready for connections.\nmariadb-1 | Version: '11.4.5-MariaDB-ubu2404' socket: '/run/mysqld/mysqld.sock' port: 3306 mariadb.org binary distribution\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-05-07T11:01:45,623Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"version[7.10.2], pid[6], build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-05-07T11:01:45,628Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]\" }\nelasticsearch | {\"type\": \"server\", \"timestamp\": \"2026-05-07T11:01:45,628Z\", \"level\": \"INFO\", \"component\": \"o.e.n.Node\", \"cluster.name\": \"docker-cluster\", \"node.name\": \"e802ad473a4f\", \"message\": \"JVM arguments [-Xshare:auto, -Des.networkaddress.cache.ttl=60, -Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch, -Xss1m, -Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow, -XX:+ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true, -Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.locale.providers=SPI,COMPAT, -Xms1g, -Xmx1g, -XX:+UseG1GC, -XX:G1ReservePercent=25, -XX:InitiatingHeapOccupancyPercent=30, -Djava.io.tmpdir=/tmp/elasticsearch-11320774102753104301, -XX:+HeapDumpOnOutOfMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m, -Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m, -XX:MaxDirectMemorySize=367001600, -Des.path.home=/usr/share/elasticsearch, -Des.path.conf=/usr/share/elasticsearch/config, -Des.distribution.flavor=default, -Des.distribution.type=docker, -Des.bundled_jdk=true]\" }\ndocker_lamp_1 | Installing dependencies from lock file (including require-dev)\ndocker_lamp_1 | Verifying lock file contents can be installed on current platform.\ndocker_lamp_1 | Package operations: 0 installs, 2 updates, 1 removal\ndocker_lamp_1 | As there is no 'unzip' nor '7z' command installed zip files are being unpacked using the PHP zip extension.\ndocker_lamp_1 | This may cause invalid reports of corrupted archives. Besides, any UNIX permissions (e.g. executable) defined in the archives will be lost.\ndocker_lamp_1 | Installing 'unzip' or '7z' (21.01+) may remediate them.\ndocker_lamp_1 | - Downloading symfony/polyfill-php85 (v1.37.0)\ndocker_lamp_1 | - Syncing symfony/error-handler (v7.4.8) into cache\n\n\nv View in Docker Desktop o View Config w Enable Watch","is_focused":true},{"role":"AXButton","text":"Menu","depth":3,"bounds":{"left":0.4861111,"top":0.08944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯1Β Β Β DOCKER (docker-compose)","depth":3,"bounds":{"left":0.01875,"top":0.09,"width":0.46388888,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 08:01:12 UTC 2026\n\n System load: 0.0 Processes: 144\n Usage of /: 58.4% of 7.57GB Users logged in: 5\n Memory usage: 37% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n38 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 27 07:45:27 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","depth":5,"on_screen":true,"value":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ prod\n(lukas@jiminny-prod-bastion) Verification code: \nWelcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 08:01:12 UTC 2026\n\n System load: 0.0 Processes: 144\n Usage of /: 58.4% of 7.57GB Users logged in: 5\n Memory usage: 37% IPv4 address for eth0: 10.30.45.167\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n38 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Mon Apr 27 07:45:27 2026 from 212.5.153.87\nlukas@jiminny-prod-bastion:~$","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.08944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯2Β Β Β PROD (ssh)","depth":4,"bounds":{"left":0.52013886,"top":0.09,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.26222223,"width":0.4986111,"height":0.14222223},"on_screen":true,"lines":[{"char_start":0,"char_count":43,"bounds":{"left":0.5048611,"top":0.26222223,"width":0.23888889,"height":0.02}},{"char_start":43,"char_count":1,"bounds":{"left":0.5048611,"top":0.2822222,"width":0.0055555557,"height":0.02}},{"char_start":44,"char_count":75,"bounds":{"left":0.5048611,"top":0.30222222,"width":0.41666666,"height":0.02}},{"char_start":119,"char_count":1,"bounds":{"left":0.5048611,"top":0.32222223,"width":0.0055555557,"height":0.02}},{"char_start":120,"char_count":75,"bounds":{"left":0.5048611,"top":0.3422222,"width":0.41666666,"height":0.02}},{"char_start":195,"char_count":44,"bounds":{"left":0.5048611,"top":0.36222222,"width":0.24444444,"height":0.02}}],"value":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.23944445,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯3Β Β Β EU (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.24,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\n(lukas@jiminny-stage-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1052-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 11:01:47 UTC 2026\n\n System load: 0.0 Processes: 120\n Usage of /: 56.9% of 7.57GB Users logged in: 2\n Memory usage: 33% IPv4 address for ens5: 10.30.46.154\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n82 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 28 06:25:10 2026 from 212.5.153.87\nlukas@jiminny-stage-bastion:~$","depth":5,"on_screen":true,"value":"Last login: Thu May 7 09:29:14 on console\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg\n(lukas@jiminny-stage-bastion) Verification code: \nWelcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1052-aws x86_64)\n\n * Documentation: https://help.ubuntu.com\n * Management: https://landscape.canonical.com\n * Support: https://ubuntu.com/pro\n\n System information as of Thu May 7 11:01:47 UTC 2026\n\n System load: 0.0 Processes: 120\n Usage of /: 56.9% of 7.57GB Users logged in: 2\n Memory usage: 33% IPv4 address for ens5: 10.30.46.154\n Swap usage: 0%\n\n * Ubuntu Pro delivers the most comprehensive open source security and\n compliance features.\n\n https://ubuntu.com/aws/pro\n\nExpanded Security Maintenance for Applications is not enabled.\n\n82 updates can be applied immediately.\nTo see these additional updates run: apt list --upgradable\n\nEnable ESM Apps to receive additional future security updates.\nSee https://ubuntu.com/esm or run: sudo pro status\n\nNew release '24.04.4 LTS' available.\nRun 'do-release-upgrade' to upgrade to it.\n\n\n*** System restart required ***\nLast login: Tue Apr 28 06:25:10 2026 from 212.5.153.87\nlukas@jiminny-stage-bastion:~$","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.40944445,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯4Β Β Β STAGE (ssh)","depth":4,"bounds":{"left":0.52013886,"top":0.41,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys002\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.5822222,"width":0.4986111,"height":0.12222222},"on_screen":true,"lines":[{"char_start":0,"char_count":43,"bounds":{"left":0.5048611,"top":0.5822222,"width":0.23888889,"height":0.02}},{"char_start":43,"char_count":1,"bounds":{"left":0.5048611,"top":0.6022222,"width":0.0055555557,"height":0.02}},{"char_start":44,"char_count":75,"bounds":{"left":0.5048611,"top":0.62222224,"width":0.41666666,"height":0.02}},{"char_start":119,"char_count":1,"bounds":{"left":0.5048611,"top":0.6422222,"width":0.0055555557,"height":0.02}},{"char_start":120,"char_count":75,"bounds":{"left":0.5048611,"top":0.6622222,"width":0.41666666,"height":0.02}},{"char_start":195,"char_count":44,"bounds":{"left":0.5048611,"top":0.68222225,"width":0.24444444,"height":0.02}}],"value":"Last login: Thu May 7 09:44:56 on ttys002\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.5594444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯5Β Β Β QA (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.56,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.7322222,"width":0.4986111,"height":0.12222222},"on_screen":true,"lines":[{"char_start":0,"char_count":43,"bounds":{"left":0.5048611,"top":0.7322222,"width":0.23888889,"height":0.02}},{"char_start":43,"char_count":1,"bounds":{"left":0.5048611,"top":0.75222224,"width":0.0055555557,"height":0.02}},{"char_start":44,"char_count":75,"bounds":{"left":0.5048611,"top":0.7722222,"width":0.41666666,"height":0.02}},{"char_start":119,"char_count":1,"bounds":{"left":0.5048611,"top":0.7922222,"width":0.0055555557,"height":0.02}},{"char_start":120,"char_count":75,"bounds":{"left":0.5048611,"top":0.81222224,"width":0.41666666,"height":0.02}},{"char_start":195,"char_count":44,"bounds":{"left":0.5048611,"top":0.8322222,"width":0.24444444,"height":0.02}}],"value":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.70944446,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯6Β Β Β FE (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.71,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","depth":5,"bounds":{"left":0.5013889,"top":0.8622222,"width":0.4986111,"height":0.13777778},"on_screen":true,"lines":[{"char_start":0,"char_count":43,"bounds":{"left":0.5048611,"top":0.8622222,"width":0.23888889,"height":0.02}},{"char_start":43,"char_count":1,"bounds":{"left":0.5048611,"top":0.88222224,"width":0.0055555557,"height":0.02}},{"char_start":44,"char_count":75,"bounds":{"left":0.5048611,"top":0.9022222,"width":0.41666666,"height":0.02}},{"char_start":119,"char_count":1,"bounds":{"left":0.5048611,"top":0.9222222,"width":0.0055555557,"height":0.02}},{"char_start":120,"char_count":75,"bounds":{"left":0.5048611,"top":0.94222224,"width":0.41666666,"height":0.02}},{"char_start":195,"char_count":44,"bounds":{"left":0.5048611,"top":0.9622222,"width":0.24444444,"height":0.02}}],"value":"Last login: Thu May 7 09:44:56 on ttys004\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXButton","text":"Menu","depth":4,"bounds":{"left":0.98819447,"top":0.85944444,"width":0.010416667,"height":0.016666668},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"β₯7Β Β Β EXT (-zsh)","depth":4,"bounds":{"left":0.52013886,"top":0.86,"width":0.46458334,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"top":0.05888889,"width":0.16458334,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.004166667,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"DEV (-zsh)","depth":2,"bounds":{"left":0.16458334,"top":0.05888889,"width":0.16458334,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.16875,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"APP (-zsh)","depth":2,"bounds":{"left":0.32916668,"top":0.05888889,"width":0.16423611,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.33333334,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.49340278,"top":0.05888889,"width":0.16423611,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.49756944,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe\"","depth":2,"bounds":{"left":0.6576389,"top":0.05888889,"width":0.16423611,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.66180557,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"-zsh","depth":2,"bounds":{"left":0.821875,"top":0.05888889,"width":0.16423611,"height":0.026666667},"on_screen":true,"role_description":"radio button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Close Tab","depth":3,"bounds":{"left":0.82604164,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"β₯β1","depth":1,"bounds":{"left":0.95763886,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"STAGE (ssh)","depth":1,"bounds":{"left":0.4722222,"top":0.033333335,"width":0.058333334,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
9032092926759521164
|
-6029049266854149745
|
visual_change
|
accessibility
|
NULL
|
Last login: Thu May 7 09:29:14 on console
Poetry Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $ work
WARN[0000] /Users/lukas/jiminny/infrastructure/dev/docker/docker-compose.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
[+] Running 3/3
β redis Pulled 1.4s
β mariadb Pulled 1.6s
β jiminny_ext Pulled 1.4s
Attaching to blackfire-1, datadog-1, jiminny_ext-1, mariadb-1, docker_lamp_1, elasticsearch, kibana, ngrok, redis
mariadb-1 | 2026-05-07 11:01:40+00:00 [Note] [Entrypoint]: Entrypoint script for MariaDB Server 1:11.4.5+maria~ubu2404 started.
redis | 1:C 07 May 2026 11:01:40.262 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
redis | 1:C 07 May 2026 11:01:40.264 # Redis version=5.0.14, bits=64, commit=00000000, modified=0, pid=1, just started
redis | 1:C 07 May 2026 11:01:40.264 # Configuration loaded
redis | 1:M 07 May 2026 11:01:40.270 * Running mode=standalone, port=6379.
redis | 1:M 07 May 2026 11:01:40.271 # Server initialized
redis | 1:M 07 May 2026 11:01:40.271 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.
redis | 1:M 07 May 2026 11:01:40.281 * Reading RDB preamble from AOF file...
redis | 1:M 07 May 2026 11:01:40.284 * Reading the remaining AOF tail...
blackfire-1 | [2026-05-07T11:01:40Z] ERROR: The server ID parameter is not set. Please run 'blackfire-agent -register' to configure it.
blackfire-1 | usage blackfire-agent [options]
blackfire-1 | --collector="[URL_WITH_CREDENTIALS] ~ $ prod
(lukas@jiminny-prod-bastion) Verification code:
Welcome to Ubuntu 22.04.5 LTS (GNU/Linux 6.8.0-1041-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯2Β Β Β PROD (ssh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯3Β Β Β EU (-zsh)
Last login: Thu May 7 09:29:14 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ stg
(lukas@jiminny-stage-bastion) Verification code:
Welcome to Ubuntu 22.04.4 LTS (GNU/Linux 6.8.0-1052-aws x86_64)
* Documentation: [URL_WITH_CREDENTIALS]
Menu
β₯4Β Β Β STAGE (ssh)
Last login: Thu May 7 09:44:56 on ttys002
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯5Β Β Β QA (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯6Β Β Β FE (-zsh)
Last login: Thu May 7 09:44:56 on ttys004
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
β₯7Β Β Β EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
β₯β1
STAGE (ssh)...
|
2099
|
NULL
|
NULL
|
NULL
|
|
2101
|
97
|
27
|
2026-05-07T11:01:49.572080+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151709572_m1.jpg...
|
PhpStorm
|
faVsco.js β console [STAGING]
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Project: faVsco.js, menu
master, menu
|
[{"role":"AXButton","text" [{"role":"AXButton","text":"Project: faVsco.js, menu","depth":5,"on_screen":true,"help_text":"~/jiminny/app","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"master, menu","depth":5,"on_screen":true,"help_text":"Git Branch: master","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-7673782238848625796
|
-8646559087753982588
|
click
|
hybrid
|
NULL
|
Project: faVsco.js, menu
master, menu
iTerm2ShellE Project: faVsco.js, menu
master, menu
iTerm2ShellEditViewSessionScriptsProfilesWindowHelp100% <78Thu 7 May 14:01:49-zsh|β΄6DOCKER*1DEV (-zsh)882APP (-zsh)T1DOCKER (docker-compose)datadog-1 exited with code 1mariadb-12026-05-07 11:01:43 0 [Note]Serversocket created on IP: '[IP_ADDRESS]'.mariadb-12026-05-07 11:01:430 [Note]Serversocket created on IP:'::'mariadb-12026-05-07 11:01:430 [Note]mariadbd:Event Scheduler: Loaded 0 eventsmariadb-12026-05-07 11:01:43 0 [Note]mariadbd:'11.4.5-MariaDB-ubu2404'ready for connections.mariadb.orgsocket: "/run/mysqld/mysqld.sock'binary distributionelasticsearch"timestamp" :"2026-05-07T11:01:45,623Z", "level": "Icomponent":"o.e.n.Node""cluster.name":"docker-cluster"", "node.name":"message":"version[7.10.2], pid[6], build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.1572772], OS[Linux/6.12.54-linuxkit/aarch64], JVM[Adopt0penJDK/OpenJDK 64-Bit ServerVM/15.0.1/15.0.1+9]" }"timestamp" :"2026-05-07T11:01:45,628Z", "level": "I"component":"docker-cluster","node. name": "e802ad4"message": "JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]" }elasticsearch1 {"type":"timestamp" :"component": "o.e.n.Node""cluster.name":"2026-05-07T11:01:45,628Z","docker-cluster""node. name": "e802ad4"message" : "JVM arguments [-Xshare:auto, -Des.networkaddress.cache.ttl=60,networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch, -Xss1m,-Djava.awt.headless=true, -Dfile.encoding=UTF-8, -Djna.nosys=true, -XX:-OmitStackTraceInFastThrow,-XX: +ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true,-Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0, -Dlog4j.shutdownHookEnabled=false, -Dlog4j2.disable.jmx=true, -Djava.locale.providers=SPI, COMPAT, -Xms1g, -Xmx1g, -XX:+UseG1GC, -XX:G1ReservePercent=25,-XX:InitiatingHeap0ccupancyPercent=30, -Djava.1o.tmpdir=/tmp/elasticsearch-11320774102753104301,mpOnOut0fMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -Xlog:gc*,gc+age=trace, safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32, filesize=64m,-Des.cgroups.hierarchy.override=/,-Xms700m, -Xmx700m, -XX:MaxDirectMemorySize=367001600, -Des.path.home=/usr/share/elasticsearch,-Des.path.conf=/usr/share/elasticsearch/confi-Des.distribution.flavor=default, -Des.distribution.type=docker, -Des.bundled_jak=trudocker_lamp_1I Installing dependencies from lock file (including require-dev)docker_1amp_11 Verifying lock filecontents can be installed on current platform.docker_1amp_1operations:0 installs, 2 updates, 1 removaldocker_lamp_1I As therecommand installed zip files are being unpacked using the PHPzip extension.docker_lamp_1 | This maycause invalid reportspermissions (e.g. executable) defined in the archives will be lost.tnedd ne the trofi cos wited enlostes. Besides, any UNTXdocker_lamp_11 Installing'unzip' or '7z' (21.01+) may remediate them.docker_lamp_1- Downloading symfony/polyfill-php85 (v1.37.0)docker_lamp_1- Syncing symfony/error-handler (v7.4.8) into cache<STAGE (ssh)*3Support Daily β’ in 59 m-zshβ’ 84screenpipe*Y2PROD (ssh)Run'do-release-upgrade' to upgrade to it.β’ *5+PROD*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parents@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.STAGE*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX t6FE (-zsh)Last login: Thu May 7 09:44:56on ttys004Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|FRONTENDEXTENSIONView in Docker Desktopβ’ View ConfigEnable Watch...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<(ah]Support Daily β’ in 59 m100% <78Thu 7 May 14:01:53STAGE (ssh)*3181DOCKER*1DEV (-zsh)882APP (-zsh)X M1DOCKER (docker-compose)NFO""component" :"o.e.n.Node""cluster.name":"docker-cluster""node. name": "e802ad473a4f""message":"version[7.10.2],pid[6],build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]" }elasticsearchNFO"1 {"type": "server""timestamp" :"2026-05-07T11:01:45, 628Z""component":"o.e.n.Node","cluster.name":"docker-cluster","node.name".e802ad473a4f""message": "JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]"elasticsearch1 {"type":"server""timestamp" :"2026-05-07T11:01:45,628Z","Level":"INFO"component":"o.e.n.Node""cluster.name":"docker-cluster""node. name":"e802ad473a4f""message":"JVM arguments [-Xshare:auto,-Des.networkaddress.cache.ttl=60,-Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch,-Xss1m, -Djava.awt.headless=true,-Dfile.encoding=UTF-8, -Djna.nosys=true,-XX: -0mitStackTraceInFastThrow,-XX: +ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true,-Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0,-Dlog4j.shutdownHookEnabled=false,-Dlog4j2.disable.jmx=true,-Djava.locale.providers-SPI, COMPAT,-Xms1g,-Xmx1g, -XX:+UseG1GC,cupancyPercent=30,-XX: G1ReservePercent=25,-XX:InitiatingHeap0c-Djava.io.tmpdir=/tmp/elasticsearch-11320774102753104301, -XX:+HeapDumpOnOut0fMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -X1og:gc*,gc+age=trace, safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32, filesize=64m,-Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m,-XX:MaxDirectMemorySize=367001600-Des.path.home=/usr/share/elasticsearch,-Des.path.conf=/usr/share/elasticsearch/config,-Des.distribution.flavor=default,-Des.distribution.type=docker, -Des.bundled_jdk=true]" }docker_lamp_1I Installing dependencies from lock file (including require-dev)docker_lamp_1Verifyingcan be installed on current platform.docker_lamp_1operations:0 installs,2 updates,docker_lamp_11 As therecommand installed zipfiles are being unpackedusingzip extension.docker_lamp_1I This may cause invalid reportscorrupted archives. Besides, any UNIXpermissions (e.g.executable) defined in the archives will be lost.docker_lamp_1Installingdocker_lamp_1'unzip' or '7z' (21.01+) may remediate them.Downloading symfony/polyfill-php85 (v1.37.0)docker_lamp_1Syncing symfony/error-handler (v7.4.8) into cachedocker_lamp_1Failed to download symfony/polyfill-php85from dist: Could notauthenticateagainst github.comdocker_lamp_1Now trying to download fromdocker_lamp_1docker_1amp_1- Syncing symfony/polyfill-php85 (v1.37.0) into cachedocker_lamp_11/1 C-] 100%docker_lamp_1docker_lamp_1Removing symfony/debug (v4.4.44)Removing symfony/polyfill-php85 (v1.33.0)-zshβ’ 84screenpipe*PROD (ssh)Run'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parents@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87stage-bastiin:-$T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16 FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IEXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|View in Docker DesktopView ConfigEnable Watch...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<(ah]Support Daily β’ in 59 m100% <78Thu 7 May 14:01:53STAGE (ssh)*3181DOCKER*1DEV (-zsh)882APP (-zsh)X M1DOCKER (docker-compose)NFO""component" :"o.e.n.Node""cluster.name":"docker-cluster""node. name": "e802ad473a4f""message":"version[7.10.2],pid[6],build[default/docker/747e1cc71def077253878a59143c1f785afa92b9/2021-01-13T04:42:47.157277Z], OS[Linux/6.12.54-linuxkit/aarch64], JVM[AdoptOpenJDK/OpenJDK 64-Bit Server VM/15.0.1/15.0.1+9]" }elasticsearchNFO"1 {"type": "server""timestamp" :"2026-05-07T11:01:45, 628Z""component":"o.e.n.Node","cluster.name":"docker-cluster","node.name".e802ad473a4f""message": "JVM home [/usr/share/elasticsearch/jdk], using bundled JDK [true]"elasticsearch1 {"type":"server""timestamp" :"2026-05-07T11:01:45,628Z","Level":"INFO"component":"o.e.n.Node""cluster.name":"docker-cluster""node. name":"e802ad473a4f""message":"JVM arguments [-Xshare:auto,-Des.networkaddress.cache.ttl=60,-Des.networkaddress.cache.negative.ttl=10, -XX:+AlwaysPreTouch,-Xss1m, -Djava.awt.headless=true,-Dfile.encoding=UTF-8, -Djna.nosys=true,-XX: -0mitStackTraceInFastThrow,-XX: +ShowCodeDetailsInExceptionMessages, -Dio.netty.noUnsafe=true,-Dio.netty.noKeySetOptimization=true, -Dio.netty.recycler.maxCapacityPerThread=0, -Dio.netty.allocator.numDirectArenas=0,-Dlog4j.shutdownHookEnabled=false,-Dlog4j2.disable.jmx=true,-Djava.locale.providers-SPI, COMPAT,-Xms1g,-Xmx1g, -XX:+UseG1GC,cupancyPercent=30,-XX: G1ReservePercent=25,-XX:InitiatingHeap0c-Djava.io.tmpdir=/tmp/elasticsearch-11320774102753104301, -XX:+HeapDumpOnOut0fMemoryError, -XX:HeapDumpPath=data, -XX:ErrorFile=logs/hs_err_pid%p.log, -X1og:gc*,gc+age=trace, safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32, filesize=64m,-Des.cgroups.hierarchy.override=/, -Xms700m, -Xmx700m,-XX:MaxDirectMemorySize=367001600-Des.path.home=/usr/share/elasticsearch,-Des.path.conf=/usr/share/elasticsearch/config,-Des.distribution.flavor=default,-Des.distribution.type=docker, -Des.bundled_jdk=true]" }docker_lamp_1I Installing dependencies from lock file (including require-dev)docker_lamp_1Verifyingcan be installed on current platform.docker_lamp_1operations:0 installs,2 updates,docker_lamp_11 As therecommand installed zipfiles are being unpackedusingzip extension.docker_lamp_1I This may cause invalid reportscorrupted archives. Besides, any UNIXpermissions (e.g.executable) defined in the archives will be lost.docker_lamp_1Installingdocker_lamp_1'unzip' or '7z' (21.01+) may remediate them.Downloading symfony/polyfill-php85 (v1.37.0)docker_lamp_1Syncing symfony/error-handler (v7.4.8) into cachedocker_lamp_1Failed to download symfony/polyfill-php85from dist: Could notauthenticateagainst github.comdocker_lamp_1Now trying to download fromdocker_lamp_1docker_1amp_1- Syncing symfony/polyfill-php85 (v1.37.0) into cachedocker_lamp_11/1 C-] 100%docker_lamp_1docker_lamp_1Removing symfony/debug (v4.4.44)Removing symfony/polyfill-php85 (v1.33.0)-zshβ’ 84screenpipe*PROD (ssh)Run'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parents@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87stage-bastiin:-$T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16 FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IEXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|View in Docker DesktopView ConfigEnable Watch...
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Debug 'AskJiminnyReportActivityServiceTest'","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"More Actions","depth":6,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"JetBrains AI","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Search Everywhere","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"IDE and Project Settings","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Execute","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Explain Plan","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Browse Query History","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"View Parameters","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open Query Execution Settingsβ¦","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"In-Editor Results","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tx: Auto","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cancel Running Statements","depth":4,"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Playground","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"jiminny","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"20","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"18","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1 and sa.provider = 'salesforce';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","depth":4,"on_screen":true,"value":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1 and sa.provider = 'salesforce';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directoryβ¦","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERβ΄1DEV (-zsh)882APP (-zsh)t1DOCKER (docker-compose)"e802ad473a4f""message""loadedelasticsearch1 {"type"server"module [x-pack-security]" }"timestamp"NFO""component" :"o.e.p.PluginsService""2026-05-07T11:01:56,244Z"cluster.name":"docker-cluster'"level":"I"node.name""e802ad473a4f""message"loadedmodule[x-pack-sql]"elasticsearch1 {"type"server""timestamp'"2026-05-07T11:01:56,244Z"NFO","component" :"o.e.p.PluginsService"cluster.name":"e802ad473a4f""message":"loaded"docker-cluster""Level"node. name"module[x-pack-stack]" }elasticsearch1 {"type""timestamp"NFO","component" :"o.e.p.PluginsService""2026-05-07T11:01:56,244Z"cluster.name":"docker-cluster""level": "I"node.name""e802ad473a4f""message""loadedmodule[x-pack-voting-only-node]" }elasticsearch1 {"type""server""timestamp":NFO","2026-05-07T11:01:56,244Z""component":"o.e.p.PluginsService"cluster.name":"docker-cluster""level": "I"node.name""e802ad473a4f""message""Loadedmodule[x-pack-watcher]" }elasticsearch1 {"type""server""timestamp""2026-05-07T11:01:56,244Z","level": "INFO""component" :"e802ad473a4f""o.e.p.PluginsService"cluster.name":"docker-cluster""node . name""message" :"no pluginsloaded"elasticsearch1 {"type":"deprecation""timestamp":"2026-05-07T11:01:56,408Z","level": "DEPRECATION""component": "o.e.d.c.s.Settings", "cluster.name":"docker-cluster","node.name":"e802ad473a4f", "message" : "[node.data] setting was deprecated in Elasticsearch and will be removed in a future release! See the breaking changesdocumentation forthe next major version." }elasticsearch | {"type":"server"NFO", "component": "o.e.e.NodeEnvironment"niemest ampuster-name-0710.ker-c14s52, "Leode name"cluster.name":"node. name": "e802ad473a4f", "message": "using [1] data paths, mounts [[/usr/share/elasticsearch/data (/dev/vda1)]], net usable_space [14.2gb], net total_space [58.3gb], types [ext4]" }elasticsearch1 {"type": "server""timestamp": "2026-05-07T11:01:56,445Z""level":"INFO", "component": "o.e.e.NodeEnvironment""cluster.name": "docker-cluster","node. name": "e802ad473a4f", "message": "heap size [700mb], compressed ordinary object pointers [true]" }elasticsearch | {"type": "server", "timestamp": "2026-05-07T11:01:56,883Z""level": "INFO","component" : "o.e.n.Node""cluster.name": "docker-cluster""node. name": "e802ad473a4f""message": "node name [e802ad473a4f], node ID [e2ZKzgw4Q4aCf2w51jWr1A], clustername [docker-cluster], roles [transform, master, remote_cluster_client, data, ml, data_content, data_hot, data_warm, data_cold, ingest]" }docker_Lamp_11- Installing symfony/polyfill-php85 (v1.37.0): Cloning fcfa4973a9 from cachedocker_lamp_1 | 0 [>--]0 [->--]docker_1amp_1 | Package doctrine/annotations is abandoned, you should avoid using it. No replacement was suggested.docker_lamp_1I Generating optimized autoload files<STAGE (ssh)Support Daily β’ in 59 m-zshβ’ 84screenpipe*Y2PROD (ssh)Run'do-release-upgrade' to upgrade to it.β’ *5100% <78Thu 7 May 14:02:00181-zsh|β΄6+PROD*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parents@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run'do-release-upgrade' to upgrade to it.STAGE*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX 17 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|FRONTENDEXTENSIONView in Docker Desktopβ’ View ConfigEnable Watch...
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Project: faVsco.js, menu
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iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERX t1DOCKER (docker-compose)DEV (-zsh)882APP (-zsh)elasticsearch1 {"type":"timestamp" :"component":"o.e.n.Node""cluster.name":"2026-05-07T11:01:56,883Z","level": "I"docker-cluster""node.name":"message": "node name [e802ad473a4f], nodeID [e2ZKzgw4Q4aCf2w5ljWr1A], cluster[docker-cluster], roles [transform, master,remote_cluster_client, data, ml, data_content,data_hot, data_warm,docker_lamp_1data_cold,ingest]"- Installing symfony/polyfill-php85 (v1.37.0): Cloning fcfa4973a9 from cachedocker_lamp_10 [>-J0 [->]docker_lamp_11 Packagedoctrine/annotations is abandoned, you should avoid using it. No replacementwas suggested.docker_1amp_11 Generating optimizedelasticsearch"timestamp" :"2026-05-07T11:02:07,294Z", "level": "INFO","component":"o.e.x.m.p.1.CppLogMessageHandler""cluster.name": "docker-cluster""node. name":"e802ad473a4f""message" :"[controller/213][Main.cc@114] controller (64bit): Version 7.10.2 (Build40a3af639d4698) Copyright (c) 2020 Elasticsearch BV" }elasticsearch1 {"type": "server""timestamp" : "2026-05-07T11:02:09, 343Z", "level": "INFO","component": "o.e.t.NettyAllocator","cluster. name": "docker-cluster""node . name": "e802ad473a4f""message": "creating NettyAllocator with the following configs:unpooled,suggested_max_allocation_size=256kb, factors={es.unsafe.use_unpooled_allocator-null, glgc_enabled=true, gigc_region_size=1mb, heap_size=700mb}]"elasticsearch1 {"type":"server""timestamp":NFO", "component": "o.e.d.DiscoveryModule""2026-05-07T11:02:09,484Z", "level": "I"cluster.name": "docker-cluster""node. names (settings)*f", "message": "using discovery type [single-node) andseed hosts provideelasticsearch1 {"type": "server"ARN""timestamp": "2026-05-07T11:02:10,174Z","level": "W"component": "o.e.g.DanglingIndicesState","cluster.name":"docker-cluster""node-name": "e802ad473a4f""message":"gateway.auto_import_dangling_indices is disabled,dangling indices will not be automatically detected or imported and must be managed manually" }elasticsearch | {"type": "server""timestamp" :"INFO""component": "o.e.n.Node""cluster.name":"2026-05-07T11:02:10,962Z""level":"docker-cluster", "node.name": "e802ad473a4f""message": "initialized"elasticsearchNFO"1 {"type":"server""timestamp" :"2026-05-07T11:02:10,963Z","level": "I"component": "o.e.n.Node"73a4f", "cluster.name":"docker-cluster", "node.name": "e802ad4"message": "starting β¦elasticsearch I {"type":"server""timestamp" : "2026-05-07T11:02:11,148Z","level": "I"cluster.name":"docker-cluster"NFO e2a73at, nessaTransportseshiad, ust2 18.0.2 38os, er-cldster ses ta<(ah]Support Daily β’ in 58 m100% <78Thu 7 May 14:02:11STAGE (ssh)181-zshβ’ 84screenpipe*Y2PROD (ssh)Run'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parents@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6+PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry couldnotfind a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IEXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry couldnot find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|View in Docker Desktopβ’ View ConfigEnable Watch...
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Project: faVsco.js, menu
master, menu
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"20","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"18","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 2 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","depth":4,"on_screen":true,"value":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 2 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directoryβ¦","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpSupport Daily β’ in 58 m100% <7DOCKERDEV (-zsh)882APP (-zsh)STAGE (ssh)*3"component" :"o.e.c.s.MasterService""cluster.name": "docker-cluster""e802ad473a4f""message":"elected-as-master([1] nodes joined)[{e802ad473a4f}{e2ZKzgw4Q4aCf2w51 jWr1A}-{0cyh0vGSTf6NdrIkW63gGg}{[IP_ADDRESS]}-{[IP_ADDRESS]:9300}{cdhilmrstw}-{ml.machine_memory=4109217792, xpack.installed=true,transform.node=true, ml.max_open_jobs=20elect leader,_BECOME_MASTER_TASK_, _FINISH_ELECTION_],term: 237,version: 8709, deltchanged {previous ],current [{e802ad473a4f}{e2ZKzgw4Q4aCf2w5LjWr1A}-{0cyhOvG5Tf6NdrIkW63gGg} {[IP_ADDRESS]}{[IP_ADDRESS]:9300}{cdhilmrstw}{ml.machine_memory=41092177xpack.installed=true,transform.node=true,ml.max_open_jobs=20}]}" }elasticsearch"timestamp":"2026-05-07T11:02:12,290Z","level": "I"component":"o.e.c.s.ClusterApplierService", "cluster.name":"docker-cluster"ode.name":"e802ad473a4f""message": "master node changed {previous (,current [{e802ad473a4f} {e2ZKzgw4Q4aCf2w51jWr1A}-{0cyh0vG5Tf6NdrIkW63gGg}-{[IP_ADDRESS]} {[IP_ADDRESS]:9300}{cdhilmrstw} {ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20}13,237, version: 8709, reason: Publication{term=237, version=8709}elasticsearchNFO"I {"type": "server""timestamp" : "2026-05-07T11:02:12,417Z", "level": "I"component" :"o.e.h.AbstractHttpServerTransport""cluster.name": "docker-cluster""node.name": "e802ad473a4f", "message": "publish_address {[IP_ADDRESS]:9200}, bound_addresses {[::]:9200}", "cluster.uuid": "8uhZw1CUSGyWYR_OvaKx6g", "node.id" : "e2ZKzgw4Q4aCf2w5LjWr1A"elasticsearchNFO"1 {"type": "server","timestamp": "2026-05-07T11:02:12,418Z","level": "I"component": "o.e.n.Node"73a4f""cluster.name": "docker-cluster""node.name": "e802ad4"message": "started", "cluster.uuid" : "8uhZw1CUSGyWYR_Ovakx6g", "node.id": "eZZKzgw4Q4aCf2w51jWr1A" }elasticsearch | {"type": "server""timestamp": "2026-05-07T11:02:13,686Z"NFO", "component": "o.e.l.LicenseService", "cluster.name" :"docker-cluster""node.name": "e802ad473a4f", "message": "license [85e882e5-5714-4173-a5dd-9baa841494a0] mode [basic] - valid", "cluster.uuid": "8uhZwlCUSGyWYR_OvaKx6g", "node.id": "e2ZKzgw4Q4aCf2w5LjWrIAelasticsearch | {"type": "server", "timestamp": "2026-05-07T11:02:13, 710Z" ,"level": "INFO", "component": "o.e.g.GatewayService","e802ad473a4f""cluster.name": "docker-cluster""node.name", "message": "recovered [15] indices into cluster_state", "cluster.uuid""8uhZw1CUSGyWYR_OvaKΡ
6g", "node.id": "e2ZKzgw404aCf2w51iWr1A"elasticsearch1 {"type": "server", "timestamp": "2026-05-07T11:02:17,891Z","Level": "I"component": "o.e.c.r.a.AllocationService", "cluster.name":"docker-cluster"e. name": "e802ad473a4f", "message": "Cluster health statuschanged from [RED] to [YELLOW] (reason: [shards started [[activities_testing][0]]]).",R_OvaKx6g","cluster.uuid": "8uhZw1CUSGyWY"node.id" : "e2ZKzgw4Q4aCf2w51jWr1A"I 1:M 07 May 2026 11:02:17.996 * DB loaded from append only file: 37.722secondsredisI 1:M 07 May 2026 11:02:17.996 * Ready to accept connections-zshβ’ 84screenpipe*'do-release-upgrade' to upgrade to it.β’ *58Thu 7 May 14:02:29-zsh|181β΄6+PROD*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parents@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|Run 'do-release-upgrade' to upgrade to it.STAGE*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$XIT5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsLast login: Thu May 7 09:44:56on ttys004Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IFRONTENDPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|EXTENSIONView in Docker Desktopβ’ View ConfigEnable Watch...
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NULL
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4776151098914934465
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click
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ocr
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NULL
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpSupport Daily β’ in 58 m100% <7DOCKERDEV (-zsh)882APP (-zsh)STAGE (ssh)*3"component" :"o.e.c.s.MasterService""cluster.name": "docker-cluster""e802ad473a4f""message":"elected-as-master([1] nodes joined)[{e802ad473a4f}{e2ZKzgw4Q4aCf2w51 jWr1A}-{0cyh0vGSTf6NdrIkW63gGg}{[IP_ADDRESS]}-{[IP_ADDRESS]:9300}{cdhilmrstw}-{ml.machine_memory=4109217792, xpack.installed=true,transform.node=true, ml.max_open_jobs=20elect leader,_BECOME_MASTER_TASK_, _FINISH_ELECTION_],term: 237,version: 8709, deltchanged {previous ],current [{e802ad473a4f}{e2ZKzgw4Q4aCf2w5LjWr1A}-{0cyhOvG5Tf6NdrIkW63gGg} {[IP_ADDRESS]}{[IP_ADDRESS]:9300}{cdhilmrstw}{ml.machine_memory=41092177xpack.installed=true,transform.node=true,ml.max_open_jobs=20}]}" }elasticsearch"timestamp":"2026-05-07T11:02:12,290Z","level": "I"component":"o.e.c.s.ClusterApplierService", "cluster.name":"docker-cluster"ode.name":"e802ad473a4f""message": "master node changed {previous (,current [{e802ad473a4f} {e2ZKzgw4Q4aCf2w51jWr1A}-{0cyh0vG5Tf6NdrIkW63gGg}-{[IP_ADDRESS]} {[IP_ADDRESS]:9300}{cdhilmrstw} {ml.machine_memory=4109217792, xpack.installed=true, transform.node=true, ml.max_open_jobs=20}13,237, version: 8709, reason: Publication{term=237, version=8709}elasticsearchNFO"I {"type": "server""timestamp" : "2026-05-07T11:02:12,417Z", "level": "I"component" :"o.e.h.AbstractHttpServerTransport""cluster.name": "docker-cluster""node.name": "e802ad473a4f", "message": "publish_address {[IP_ADDRESS]:9200}, bound_addresses {[::]:9200}", "cluster.uuid": "8uhZw1CUSGyWYR_OvaKx6g", "node.id" : "e2ZKzgw4Q4aCf2w5LjWr1A"elasticsearchNFO"1 {"type": "server","timestamp": "2026-05-07T11:02:12,418Z","level": "I"component": "o.e.n.Node"73a4f""cluster.name": "docker-cluster""node.name": "e802ad4"message": "started", "cluster.uuid" : "8uhZw1CUSGyWYR_Ovakx6g", "node.id": "eZZKzgw4Q4aCf2w51jWr1A" }elasticsearch | {"type": "server""timestamp": "2026-05-07T11:02:13,686Z"NFO", "component": "o.e.l.LicenseService", "cluster.name" :"docker-cluster""node.name": "e802ad473a4f", "message": "license [85e882e5-5714-4173-a5dd-9baa841494a0] mode [basic] - valid", "cluster.uuid": "8uhZwlCUSGyWYR_OvaKx6g", "node.id": "e2ZKzgw4Q4aCf2w5LjWrIAelasticsearch | {"type": "server", "timestamp": "2026-05-07T11:02:13, 710Z" ,"level": "INFO", "component": "o.e.g.GatewayService","e802ad473a4f""cluster.name": "docker-cluster""node.name", "message": "recovered [15] indices into cluster_state", "cluster.uuid""8uhZw1CUSGyWYR_OvaKΡ
6g", "node.id": "e2ZKzgw404aCf2w51iWr1A"elasticsearch1 {"type": "server", "timestamp": "2026-05-07T11:02:17,891Z","Level": "I"component": "o.e.c.r.a.AllocationService", "cluster.name":"docker-cluster"e. name": "e802ad473a4f", "message": "Cluster health statuschanged from [RED] to [YELLOW] (reason: [shards started [[activities_testing][0]]]).",R_OvaKx6g","cluster.uuid": "8uhZw1CUSGyWY"node.id" : "e2ZKzgw4Q4aCf2w51jWr1A"I 1:M 07 May 2026 11:02:17.996 * DB loaded from append only file: 37.722secondsredisI 1:M 07 May 2026 11:02:17.996 * Ready to accept connections-zshβ’ 84screenpipe*'do-release-upgrade' to upgrade to it.β’ *58Thu 7 May 14:02:29-zsh|181β΄6+PROD*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parents@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|Run 'do-release-upgrade' to upgrade to it.STAGE*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$XIT5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsLast login: Thu May 7 09:44:56on ttys004Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IFRONTENDPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|EXTENSIONView in Docker Desktopβ’ View ConfigEnable Watch...
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151753983_m1.jpg...
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PhpStorm
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faVsco.js β console [STAGING]
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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Settings","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Execute","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Explain Plan","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Browse Query History","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"View Parameters","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open Query Execution Settingsβ¦","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"In-Editor Results","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tx: Auto","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cancel Running Statements","depth":4,"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Playground","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"jiminny","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"20","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"18","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 2 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","depth":4,"on_screen":true,"value":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 2 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directoryβ¦","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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/Users/lukas/.screenpipe/data/data/2026-05-07/1778 /Users/lukas/.screenpipe/data/data/2026-05-07/1778151755305_m1.jpg...
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faVsco.js β console [STAGING]
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Execute
Explain Plan
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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Settings","depth":5,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Execute","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Explain Plan","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Browse Query History","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"View Parameters","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open Query Execution Settingsβ¦","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"In-Editor Results","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tx: Auto","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Cancel Running Statements","depth":4,"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Playground","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"jiminny","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"20","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"18","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1052 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","depth":4,"on_screen":true,"value":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1052 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","role_description":"text entry area","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New File or Directoryβ¦","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Expand Selected","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Collapse All","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Options","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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Project: faVsco.js, menu
master, menu
Start Listen Project: faVsco.js, menu
master, menu
Start Listening for PHP Debug Connections
AskJiminnyReportActivityServiceTest
Run 'AskJiminnyReportActivityServiceTest'
Debug 'AskJiminnyReportActivityServiceTest'
More Actions
JetBrains AI
Search Everywhere
IDE and Project Settings
Execute
Explain Plan
Browse Query History
View Parameters
Open Query Execution Settingsβ¦
In-Editor Results
Tx: Auto
Cancel Running Statements
Playground
jiminny
Sync Changes
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
Project
Project...
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changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"20","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"18","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"13","depth":4,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Previous Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Next Highlighted Error","depth":4,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1052 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","depth":4,"on_screen":true,"value":"SELECT * FROM teams WHERE id = 1;\n\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;\nSELECT * FROM crm_fields WHERE id = 2234;\nSELECT * FROM crm_field_values WHERE crm_field_id = 2234;\n\nselect * from crm_profiles where user_id = 143;\n\nselect * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO\nselect * from business_processes where crm_configuration_id = 39;\n# 01941000000H669AAC, 01941000000H66JAAS\n\nselect * from record_type_field_values\n where record_type_id IN (24);\n\nselect * from crm_field_values where id IN (2730);\n\nselect * from crm_configurations where id = 39;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce'; #1035\n\n\nselect * from users where team_id = 1; # 222 group 3\nSELECT * FROM activities WHERE user_id = 222 order by id desc;\nselect * from sidekick_settings where team_id = 1;\nselect * from teams where id = 1;\nselect * from team_features where team_id = 1;\n\nselect * from activities where crm_configuration_id = 2\nand provider = 'ms-teams' and id = 608765;\n\nSELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';\n\nselect * from sidekick_settings where team_id = 2;\n\nSELECT * FROM activities WHERE id = 608660;\nselect * from activity_summary_logs where activity_id = 608660;\nselect * from ai_prompts where transcription_id = 11214;\n\n# ********************************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;\n# id: 608818, crm: 59628809737\nSELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;\n# id: 608821, crm: 59632069252\nSELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,\nplaybook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,\nscheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at\nFROM activities a\njoin calendar_events ce on a.calendar_event_id = ce.id\nWHERE a.id IN (608818, 608821);\n\nselect * from users where team_id = 1;\nselect * from team_settings where team_id = 1;\nselect * from crm_profiles where crm_configuration_id = 39 order by user_id;\n\nselect * from team_features where team_id = 1;\n\nselect * from users where team_id = 2;\n\nSELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639\n# Preslava N. Ivanova, grou id 3\n\nSELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;\n\nselect * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';\n\nselect\n a.id,\n a.type,\n a.scheduled_start_time,\n a.actual_start_time,\n a.created_at,\n a.opportunity_id,\n a.status\nFROM activities a\nWHERE opportunity_id = 344\nand status IN ('completed', 'received', 'delivered')\nand (\n (a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')\nOR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))\n;\n\nSELECT * FROM users WHERE id = 222;\n\nSELECT * FROM crm_profiles WHERE user_id = 222;\nselect * from crm_layouts where crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;\n\nselect * from group_deal_risk_types;\n\nselect * from opportunities where team_id = 1;\n\nSELECT * FROM opportunities WHERE id = 315;\nSELECT * FROM crm_field_data WHERE object_id = 315;\nselect * from crm_field_data where object_id = 260;\n\nselect * from generic_ai_prompts where subject_id = 315;\n\nselect * from teams; # 36, 21, 121, james.graham@bullhorn.jiminny.com\nSELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';\n\n# ************************************************************************************\nselect * from teams where id = 1;\nselect * from crm_configurations where id = 39;\nselect * from users where team_id = 1;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 1;\n# 1 - 00541000004281rAAA\n# 204 - 0052g000003freeAAA\n# 429 - 0052g000003qGOiAAM\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\nselect * from activities where type = 'softphone'\nand created_at > '2024-12-11 15:24:36' order by id desc;\n\nselect * from activity_providers where team_id = 1;\nselect * from activity_provider_users where activity_provider_id = 328;\n\nselect * from opportunities where crm_configuration_id = 39\nAND account_id = 178 AND is_closed = false\norder by created_at DESC;\n\nselect * from contacts where id = 3952;\nselect * from accounts where id = 178;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations where id = 21;\nselect * from users where team_id = 36;\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 36;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 36\nand sa.provider = 'bullhorn';\n\nselect * from social_accounts where id = 348;\nUPDATE social_accounts SET\nprovider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',\nprovider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',\nexpires = 1733998131,\nstate = 'connected'\nWHERE id = 348;\n\n# ************************************************************************************\nselect * from teams where id = 31;\nselect * from crm_configurations where id = 18;\n\nselect * from users where team_id = 31; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 31;\n\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 31\nand sa.provider = 'close';\n\nselect * from contacts where crm_configuration_id = 18;\n\n# ********************** NEPTUNE **************************************************************\nselect * from teams;\nselect * from users where id IN (1030, 1035, 1052);\nselect * from crm_configurations;\n\nselect * from users where team_id = 65; # 257\nselect * from team_settings where team_id = 65; # 257\nselect * from invitations where team_id = 65; # 257\nselect * from users where email = 'integration-account@jiminny.com'; # 257\nselect u.email, cp.* from users u\njoin crm_profiles cp on u.id = cp.user_id\nwhere u.team_id = 65;\n\nselect * from crm_configurations where id = 53;\nselect * from accounts where crm_configuration_id = 53 order by id desc;\nselect * from leads where crm_configuration_id = 53 order by id desc;\nselect * from contacts where crm_configuration_id = 53 order by id desc;\nselect * from opportunities where crm_configuration_id = 53 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 53 order by id desc;\nselect * from crm_fields where crm_configuration_id = 53 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 53 order by id desc;\nselect * from stages where crm_configuration_id = 53 order by id desc;\n\n\nselect * from crm_profiles where crm_configuration_id = 13;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\nand sa.provider = 'integration-app';\n\nselect * from contacts where crm_configuration_id = 13;\n\nselect * from social_accounts where sociable_id = 283;\n\nSELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';\n\nselect * from activity_providers where team_id = 65;\nSELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 65\n;\n\n# ***************************** STAGING ********************************************\nSELECT * FROM teams;\nSELECT * FROM teams WHERE id = 88;\nSELECT * FROM teams WHERE id = 89;\nselect * from team_settings where team_id = 89;\nSELECT * FROM users WHERE team_id = 89;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 89;\n\nselect * from users;\nSELECT * FROM social_accounts WHERE sociable_id = 1761;\nSELECT * FROM crm_configurations WHERE id = 70;\nselect * from accounts where crm_configuration_id = 70 order by id desc;\nselect * from leads where crm_configuration_id = 70 order by id desc;\nselect * from contacts where crm_configuration_id = 70 order by id desc;\nselect * from opportunities where crm_configuration_id = 70 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 70 order by id desc;\nselect * from crm_fields where crm_configuration_id = 70 order by id desc;\nselect * from crm_field_values where crm_field_id = 3536 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 70 order by id desc;\nselect * from stages where crm_configuration_id = 70 order by id desc;\nselect * from business_processes where crm_configuration_id = 70 order by id desc;\nselect * from business_process_stages where business_process_id = 34;\n\nselect * from contacts where id = 10468;\n\nselect * from crm_layouts where crm_configuration_id = 70;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;\nSELECT * FROM crm_fields WHERE id IN (3533,3534,3535);\n\nselect * from activities where crm_configuration_id = 70\nand (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;\n\nSELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;\nSELECT * FROM activities where crm_configuration_id = 69 ;\n\nSELECT * FROM users WHERE email LIKE '%jiminny_web_sa2@jiminny.com%';\nSELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;\nSELECT * FROM opportunities WHERE id = 385;\n\nselect * from participants p\njoin activities a on p.activity_id = a.id\nwhere a.crm_configuration_id = 70\nand (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);\nSELECT * FROM participants WHERE id = 1013638;\n\nselect * from teams where id = 90;\nselect * from users where team_id = 90;\nselect * from social_accounts where social_accounts.sociable_id IN (1960,1760);\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 71;\nselect * from invitations where team_id = 90;\n\nselect * from crm_configurations where id = 71;\nselect * from accounts where crm_configuration_id = 71 order by id desc;\nselect * from leads where crm_configuration_id = 71 order by id desc;\nselect * from contacts where crm_configuration_id = 71 order by id desc;\nselect * from opportunities where crm_configuration_id = 71 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 71 order by id desc;\nselect * from crm_fields where crm_configuration_id = 71 order by id desc;\nselect * from crm_field_values where crm_field_id = 3341 order by id desc;\nselect * from crm_layouts where crm_configuration_id = 71 order by id desc;\nselect * from stages where crm_configuration_id = 71 order by id desc;\n\nselect * from users order by secondary_email desc;\nselect u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa\n join users u on sa.sociable_id = u.id\nwhere sa.provider = 'google' and u.email LIKE 'aneliya%';\n\nselect * from failed_jobs order by id desc;\n\nselect * from users where email = 'ben.allwright@learningpeople.co.uk' or secondary_email = 'ben.allwright@learningpeople.co.uk';\n\nselect * from teams;\nSELECT * FROM crm_profiles WHERE crm_configuration_id = 39;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 1\nand sa.provider = 'salesforce';\n\n# ************************************************************************************\nSELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;\nSELECT * FROM crm_configurations WHERE id = 70;\n\nselect * from teams where id = 1;\nselect * from groups where team_id = 1;\nselect * from users where team_id = 1;\n\nselect o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o\njoin users u on o.user_id = u.id\njoin groups g on u.group_id = g.id\njoin role_user ru on u.id = ru.user_id\njoin roles r on ru.role_id = r.id\nwhere o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';\n\nselect * from role_user where user_id = 143;\nselect * from roles;\n\nselect * from role_user;\nselect * from groups where id = 9;\nselect * from scope_groups where group_id = 9;\n\n# ************************************************************************************\nselect * from teams where id = 36;\nselect * from crm_configurations;\nSELECT * FROM social_accounts WHERE sociable_id = 121;\n\nhttps://crmsandbox.zoho.com/crm/jiminnyw4/tab/Leads/4776201000005049105\nhttps://crmsandbox.zoho.com/crm/\n\nhttps://crm.zoho.com/crm/org3469620/tab/Leads/230045000229559080\n https://crm.zoho.com/crm/\n org3469620\n\nSELECT * FROM activities WHERE uuid_to_bin('03382d20-c8bc-48e7-a3d4-90b52fa5ceab') = uuid;\n\nselect * from users where email LIKE \"%mobile_automation_%\";\nselect * from social_accounts where sociable_id IN (2228);\nselect * from crm_profiles where user_id IN (2222,2223,2226,2227);\n\nselect * from teams order by id desc;\nSELECT * FROM users WHERE id = 2229;\nSELECT * FROM crm_profiles WHERE user_id = 2229;\nselect * from opportunities where crm_configuration_id = 88;\nselect * from crm_fields where crm_configuration_id = 88;\nselect * from crm_profiles where crm_configuration_id = 88;\n\nSELECT * FROM teams WHERE id = 1;\n\nSELECT * FROM users WHERE id = 143;\nSELECT * FROM users WHERE uuid_to_bin('fde193d3-06a2-4e1a-8895-62b94039215d') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73385071-a756-42ae-9c73-8b53f2309467') = uuid;\n\nhttps://app.staging.jiminny.com/ondemand?\n min_duration=1\n &\n only_recorded=1\n &\n user_id%5B%5D=641f1acb-16b8-42d1-8726-df52979dad0e\n &\n sequence_number=2\n\n select * from users where team_id = 1 and email like '%stoyan%'\n\nselect * from coaching_feedbacks;\n\nselect * from teams;\nSELECT * FROM users WHERE team_id = 36;\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from users where id = 143;\n\nSELECT * FROM users WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM teams WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\nSELECT * FROM activity_shares WHERE uuid_to_bin('73180eeb-33de-4065-977d-ccbe0e6c94fc') = uuid;\n\nselect * from users where team_id = 2;\nselect * from activities where crm_configuration_id = 39\nand activities.scheduled_start_time BETWEEN '2025-04-09 00:00:00' AND '2025-04-09 23:59:59'\nAND user_id = 143\norder by id desc;\n\n# ************************************************************************************\nselect * from teams where id = 142; # 2312, 126\nselect * from team_settings;\nselect * from users where team_id = 142; # 21642\nSELECT * FROM social_accounts WHERE sociable_id = 21642;\nSELECT * FROM crm_profiles cp join users u ON u.id = cp.user_id WHERE team_id = 142;\nselect * from crm_profiles where id IN (93);\nselect * from invitations;\nselect * from team_features where team_id = 1;\n\nSELECT * FROM crm_configurations WHERE id = 126;\nselect * from accounts where crm_configuration_id = 126 order by id desc;\nselect * from leads where crm_configuration_id = 126 order by id desc;\nselect * from contacts where crm_configuration_id = 126 order by id desc;\nselect * from opportunities where crm_configuration_id = 126 order by id desc;\nselect * from crm_profiles where crm_configuration_id = 126 order by id desc;\nselect * from crm_fields where crm_configuration_id = 126 # 11060\n# and type IN ('picklist', 'status')\n# and object_type = 'task'\norder by id desc;\n# 5731,5732,5733\nselect DISTINCT crm_field_id from crm_field_values where crm_field_id IN (11151,12239,12215,12185,12175,12165,12144,12137,12127,12109,12107,12105,12103,12092,12037,12005,12003,11987,11969,11958,11951,11942,11931,11924,11921,11917,11915,11901,11893,11883,11872,11870,11868,11866,11839,11833,11821,11793,11780,11777,11769,11757,11737,11735,11656,11645,11638,11629,11618,11611,11602,11591,11584,11581,11558,11544,11543,11534,11532,11529,11527,11503,11497,11493,11488,11470,11468,11457,11455,11397,11387,11372,11363,11348,11323,11318,11309,11301,11300,11292,11290,11286,11284,11256,11252,11242,11237,11233,11219,11176,11160) order by id desc;\nselect * from crm_layouts where crm_configuration_id = 126 order by id desc;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id in (300,299,298);\nselect * from stages where crm_configuration_id = 126 order by id desc;\nselect * from business_processes where crm_configuration_id = 126 order by id desc;\nselect * from business_process_stages where business_process_id IN (76,75,74,73);\nselect * from playbooks where team_id = 142;\nselect * from playbook_layouts where playbook_id IN (108);\nSELECT * FROM playbook_categories WHERE playbook_id IN (108);\n\nselect * from teams where id = 130;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 2\nand sa.provider = 'hubspot';\n\nSELECT * FROM activities\n WHERE crm_configuration_id = 110;\n\nselect * from teams;\nselect * from crm_configurations;\n\nSELECT * FROM activities WHERE id = 628773;\nSELECT * FROM crm_profiles WHERE user_id = 1460;\nSELECT * FROM social_accounts WHERE sociable_id = 2291;\n\nselect * from teams;\nselect ru.*, pr.*, p.* from users u join role_user ru on ru.user_id = u.id\njoin permission_role pr on pr.role_id = ru.role_id\n join permissions p on p.id = pr.permission_id\nwhere team_id = 495 and p.name IN ('dial');\n\nselect * from teams where id = 145;\nselect * from crm_configurations where id = 129;\nselect * from social_accounts where sociable_id = 2317;\nSELECT * FROM activities WHERE uuid_to_bin('8dbab184-a333-4268-ad57-fb41f8d53a9a') = uuid;\n\nselect * from teams where id = 1;\nSELECT * FROM crm_layouts WHERE crm_configuration_id = 39;\nSELECT * FROM crm_layout_entities WHERE crm_layout_id = 280;\nSELECT * FROM crm_layout_entities WHERE id = 5507;\nSELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type IN ('event');\n\nselect * from teams;\nselect * from activities where crm_configuration_id = 14;\n\nSELECT * FROM social_accounts where provider = 'copper';\n\nselect * from activities where id = 628467;\nselect * from participants where activity_id = 628467;\n\nSELECT * FROM contacts WHERE id = 3969;\nSELECT * FROM accounts WHERE id = 177;\n\nSELECT * FROM activities WHERE uuid_to_bin('4eb54c77-cfa3-2bd4-84a7-9ed46a21c988') = uuid;\n\n# ********************* BH\nselect * from teams where id = 36;\nSELECT * FROM crm_configurations WHERE id = 21;\nselect * from activities where crm_configuration_id = 21 and id = 607901;\nselect * from activities where crm_configuration_id = 21;\n\nselect * roles;\nselect * from permissions;\nselect * from permission_role where permission_id = 226;\n\nselect * from migrations order by id desc;\n\n# mercury\n# neptune\n# earth\n\nselect * from teams;\nselect * from teams where id = 19;\nselect * from teams where id = 27;\nselect * from users where team_id = 27;\nSELECT * FROM crm_configurations WHERE id = 42;\n\nselect * from social_accounts sa\njoin users u on sa.sociable_id = u.id\nwhere u.team_id = 19\nand sa.provider = 'pipedrive';\n\nselect * from activities where id = 631461;\nSELECT * FROM crm_field_values WHERE crm_field_id = 180;\n\nselect * from teams where id = 2;\nSELECT * FROM social_accounts WHERE sociable_id = 89;\n\nSELECT * FROM activities WHERE uuid_to_bin('ba0c029a-bc14-4e17-8603-64174acebcbb') = uuid; # 634273\nselect * from activity_summary_logs where activity_id = 634273;\n\nselect * from sidekick_settings where team_id = 2;\n\nselect * from teams; # 2, 2\nSELECT * FROM crm_configurations WHERE team_id = 2; # 2\nselect * from team_features where team_id = 2;\nselect * from features;\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 and crm_provider_id = '51317301383';\nSELECT * FROM opportunities WHERE crm_configuration_id = 2 order by id desc;\n\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from users where team_id = 1 and id IN (7160, 3248);\nselect * from migrations order by id desc;\n\nSELECT\n CONCAT(u.id, CASE WHEN u.id = t.owner_id THEN ' (owner)' ELSE '' END) AS user_id,\n u.email,\n sa.*,\n t.owner_id FROM social_accounts sa\nJOIN users u on u.id = sa.sociable_id\nJOIN teams t on t.id = u.team_id\nWHERE u.team_id = 1052 and sa.provider = 'hubspot';\n\nselect * from teams where id = 1;\nselect * from groups g JOIN playbooks p on g.playbook_id = p.id where g.team_id = 1;\nselect * from groups where id = 565;\nselect * from playbooks where team_id = 1;\nselect * from playbooks where id = 175;\nselect * from playbook_categories where playbook_id = 175;\nselect * from users where team_id = 1;\nselect * from users where id = 7160;\nselect * from crm_profiles where user_id = 7160;\nselect * from features;\nselect\n *\n# id, uuid, type, provider, playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id, stage_id,\n# crm_configuration_id, crm_provider_id, transcription_id, status\nfrom activities where crm_configuration_id = 1 and type = 'conference'\n# and crm_provider_id IS NOT NULL\nand provider != 'uploader' and actual_start_time IS NOT NULL\nORDER by id desc;\nselect * from activities where id = 54747783; # 00UO400000pCzojMAC\n\nselect p.id, p.activity_type, pc.id, pc.name\nFROM playbooks p\njoin playbook_categories pc on p.id = pc.playbook_id\nwhere p.team_id = 1 and p.activity_type = 'event';\n\nSELECT * FROM crm_fields WHERE crm_configuration_id = 1 and object_type = 'event';\nSELECT * FROM crm_field_values WHERE crm_field_id = 4;\n\nselect * from crm_layouts cl join playbook_layouts pl on cl.id = pl.layout_id\nwhere crm_configuration_id = 1 and pl.playbook_id = 175;\n\nselect * from teams;\nSELECT r.* FROM automated_reports r\njoin teams t on r.team_id = t.id\nWHERE r.frequency = 'daily'\n and r.status = 1\nAND t.status = 'active'\nAND (r.expires_at >= now() OR r.expires_at IS NULL);\n\nselect * from automated_report_results where report_id IN (18, 33);\n\nselect * from activity_searches where id = 10932;\nselect * from activity_search_filters where activity_search_id = 10932;\nselect * from automated_reports order by id desc;\nselect * from automated_report_results order by id desc;\nselect * from automated_reports where id IN (55);\nselect * from automated_report_results where id IN (81);\nselect * from users where id IN (10633, 13987, 11985);\nselect * from users where group_id IN (3710);\n\nSELECT * FROM automated_reports WHERE uuid_to_bin('18a06a75-afd2-476f-aadc-14d4057bdda2') = uuid;\nSELECT * FROM automated_report_results WHERE uuid_to_bin('582d4b50-8cd3-42a9-9819-d676ff8f3b43') = uuid;","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sync Changes","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide This Notification","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Code changed:","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.088194445,"height":0.027777778},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Hide","depth":4,"bounds":{"left":0.0,"top":0.0,"width":0.018055556,"height":0.026666667},"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","depth":4,"on_screen":true,"value":"<?php\n\ndeclare(strict_types=1);\n\nnamespace Jiminny\\Component\\Utility\\Service;\n\nuse Illuminate\\Cache\\RateLimiter;\nuse Jiminny\\Contracts\\Http\\RateLimited;\nuse Jiminny\\Contracts\\Http\\RateLimitInterface;\n\nclass ProviderRateLimiter\n{\n protected RateLimiter $rateLimiter;\n\n public function __construct(RateLimiter $rateLimiter)\n {\n $this->rateLimiter = $rateLimiter;\n }\n\n public function canMakeRequest(RateLimited $provider): bool\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $key = $rateLimit->getKey();\n\n if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {\n return false;\n }\n }\n\n return true;\n }\n\n public function requestAvailableIn(RateLimited $provider): int\n {\n return $provider->getRateLimits()->isNotEmpty()\n ? $provider->getRateLimits()\n ->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))\n ->max()\n : 0\n ;\n }\n\n public function incrementRequestCount(RateLimited $provider): void\n {\n /** @var RateLimitInterface $rateLimit */\n foreach ($provider->getRateLimits() as $rateLimit) {\n $this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());\n }\n }\n}","role_description":"text entry area","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Project","depth":3,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Project","depth":3,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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SELECT * FROM teams WHERE id = 1;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 283;
SELECT * FROM crm_fields WHERE id = 2234;
SELECT * FROM crm_field_values WHERE crm_field_id = 2234;
select * from crm_profiles where user_id = 143;
select * from record_types where crm_configuration_id = 39; # 0121K000001MHElQAO,0121K000001MHEqQAO
select * from business_processes where crm_configuration_id = 39;
# 01941000000H669AAC, 01941000000H66JAAS
select * from record_type_field_values
where record_type_id IN (24);
select * from crm_field_values where id IN (2730);
select * from crm_configurations where id = 39;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce'; #1035
select * from users where team_id = 1; # 222 group 3
SELECT * FROM activities WHERE user_id = 222 order by id desc;
select * from sidekick_settings where team_id = 1;
select * from teams where id = 1;
select * from team_features where team_id = 1;
select * from activities where crm_configuration_id = 2
and provider = 'ms-teams' and id = 608765;
SELECT * FROM activities WHERE crm_configuration_id = 2 and crm_provider_id = '59523413338';
select * from sidekick_settings where team_id = 2;
SELECT * FROM activities WHERE id = 608660;
select * from activity_summary_logs where activity_id = 608660;
select * from ai_prompts where transcription_id = 11214;
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('ed78a437-2804-450e-ab2f-56ab1c641346') = uuid;
# id: 608818, crm: 59628809737
SELECT * FROM activities WHERE uuid_to_bin('36b06e55-afdd-4782-8dee-c624cd0af191') = uuid;
# id: 608821, crm: 59632069252
SELECT ce.start_time, ce.end_time, a.id, a.uuid, crm_provider_id, calendar_event_id, title,
playbook_category_id, user_id, lead_id, contact_id, account_id, opportunity_id,
scheduled_start_time, scheduled_end_time, actual_start_time, actual_end_time, a.created_at
FROM activities a
join calendar_events ce on a.calendar_event_id = ce.id
WHERE a.id IN (608818, 608821);
select * from users where team_id = 1;
select * from team_settings where team_id = 1;
select * from crm_profiles where crm_configuration_id = 39 order by user_id;
select * from team_features where team_id = 1;
select * from users where team_id = 2;
SELECT * FROM activities WHERE uuid_to_bin('ec7647e9-5225-458b-b475-f31aa2769204') = uuid; # 612639
# Preslava N. Ivanova, grou id 3
SELECT * FROM opportunities WHERE uuid_to_bin('a2928fe5-aec5-46cb-85d9-7654c89e46a6') = uuid;
select * from activities where opportunity_id = 344 and actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00';
select
a.id,
a.type,
a.scheduled_start_time,
a.actual_start_time,
a.created_at,
a.opportunity_id,
a.status
FROM activities a
WHERE opportunity_id = 344
and status IN ('completed', 'received', 'delivered')
and (
(a.actual_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.created_at between '2024-10-11 00:00:00' and '2024-10-12 00:00:00')
OR (a.scheduled_start_time between '2024-10-11 00:00:00' and '2024-10-12 00:00:00'))
;
SELECT * FROM users WHERE id = 222;
SELECT * FROM crm_profiles WHERE user_id = 222;
select * from crm_layouts where crm_configuration_id = 39;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 281;
select * from group_deal_risk_types;
select * from opportunities where team_id = 1;
SELECT * FROM opportunities WHERE id = 315;
SELECT * FROM crm_field_data WHERE object_id = 315;
select * from crm_field_data where object_id = 260;
select * from generic_ai_prompts where subject_id = 315;
select * from teams; # 36, 21, 121, [EMAIL]
SELECT * FROM social_accounts WHERE sociable_id = 121 and provider = 'bullhorn';
# [PASSWORD_DOTS]
select * from teams where id = 1;
select * from crm_configurations where id = 39;
select * from users where team_id = 1;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 1;
# 1 - 00541000004281rAAA
# 204 - 0052g000003freeAAA
# 429 - 0052g000003qGOiAAM
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
select * from activities where type = 'softphone'
and created_at > '2024-12-11 15:24:36' order by id desc;
select * from activity_providers where team_id = 1;
select * from activity_provider_users where activity_provider_id = 328;
select * from opportunities where crm_configuration_id = 39
AND account_id = 178 AND is_closed = false
order by created_at DESC;
select * from contacts where id = 3952;
select * from accounts where id = 178;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations where id = 21;
select * from users where team_id = 36;
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 36;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 36
and sa.provider = 'bullhorn';
select * from social_accounts where id = 348;
UPDATE social_accounts SET
provider_user_token = '21442_6802599_91:41179a58-21e7-4d7c-ad58-56bb666b2f65',
provider_refresh_token = '21442_6802599_91:01c6b335-3f2a-42e4-85ff-8a08fa65fceb',
expires = 1733998131,
state = 'connected'
WHERE id = 348;
# [PASSWORD_DOTS]
select * from teams where id = 31;
select * from crm_configurations where id = 18;
select * from users where team_id = 31; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 31;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 31
and sa.provider = 'close';
select * from contacts where crm_configuration_id = 18;
# [PASSWORD_DOTS] NEPTUNE [PASSWORD_DOTS]
select * from teams;
select * from users where id IN (1030, 1035, 1052);
select * from crm_configurations;
select * from users where team_id = 65; # 257
select * from team_settings where team_id = 65; # 257
select * from invitations where team_id = 65; # 257
select * from users where email = '[EMAIL]'; # 257
select u.email, cp.* from users u
join crm_profiles cp on u.id = cp.user_id
where u.team_id = 65;
select * from crm_configurations where id = 53;
select * from accounts where crm_configuration_id = 53 order by id desc;
select * from leads where crm_configuration_id = 53 order by id desc;
select * from contacts where crm_configuration_id = 53 order by id desc;
select * from opportunities where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 53 order by id desc;
select * from crm_fields where crm_configuration_id = 53 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 53 order by id desc;
select * from stages where crm_configuration_id = 53 order by id desc;
select * from crm_profiles where crm_configuration_id = 13;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
and sa.provider = 'integration-app';
select * from contacts where crm_configuration_id = 13;
select * from social_accounts where sociable_id = 283;
SELECT * FROM opportunities WHERE crm_provider_id = '006O400000E9bzeIAB';
select * from activity_providers where team_id = 65;
SELECT * FROM activities WHERE crm_configuration_id IN (51, 52, 53);
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 65
;
# [PASSWORD_DOTS] STAGING [PASSWORD_DOTS]
SELECT * FROM teams;
SELECT * FROM teams WHERE id = 88;
SELECT * FROM teams WHERE id = 89;
select * from team_settings where team_id = 89;
SELECT * FROM users WHERE team_id = 89;
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 89;
select * from users;
SELECT * FROM social_accounts WHERE sociable_id = 1761;
SELECT * FROM crm_configurations WHERE id = 70;
select * from accounts where crm_configuration_id = 70 order by id desc;
select * from leads where crm_configuration_id = 70 order by id desc;
select * from contacts where crm_configuration_id = 70 order by id desc;
select * from opportunities where crm_configuration_id = 70 order by id desc;
select * from crm_profiles where crm_configuration_id = 70 order by id desc;
select * from crm_fields where crm_configuration_id = 70 order by id desc;
select * from crm_field_values where crm_field_id = 3536 order by id desc;
select * from crm_layouts where crm_configuration_id = 70 order by id desc;
select * from stages where crm_configuration_id = 70 order by id desc;
select * from business_processes where crm_configuration_id = 70 order by id desc;
select * from business_process_stages where business_process_id = 34;
select * from contacts where id = 10468;
select * from crm_layouts where crm_configuration_id = 70;
SELECT * FROM crm_layout_entities WHERE crm_layout_id = 388;
SELECT * FROM crm_fields WHERE id IN (3533,3534,3535);
select * from activities where crm_configuration_id = 70
and (account_id IS NOT NULL or lead_id IS NOT NULL or contact_id IS NOT NULL or opportunity_id IS NOT NULL) order by id desc;
SELECT * FROM activities WHERE uuid_to_bin('2e10b60f-8a61-41c5-a3d4-28835353dc65') = uuid;
SELECT * FROM activities where crm_configuration_id = 69 ;
SELECT * FROM users WHERE email LIKE '%[EMAIL]%';
SELECT * FROM activities WHERE uuid_to_bin('5a150c93-40fc-42ec-b3bd-c1d328e09f6e') = uuid;
SELECT * FROM opportunities WHERE id = 385;
select * from participants p
join activities a on p.activity_id = a.id
where a.crm_configuration_id = 70
and (p.lead_id IS NOT NULL or p.contact_id IS NOT NULL);
SELECT * FROM participants WHERE id = 1013638;
select * from teams where id = 90;
select * from users where team_id = 90;
select * from social_accounts where social_accounts.sociable_id IN (1960,1760);
SELECT * FROM crm_profiles WHERE crm_configuration_id = 71;
select * from invitations where team_id = 90;
select * from crm_configurations where id = 71;
select * from accounts where crm_configuration_id = 71 order by id desc;
select * from leads where crm_configuration_id = 71 order by id desc;
select * from contacts where crm_configuration_id = 71 order by id desc;
select * from opportunities where crm_configuration_id = 71 order by id desc;
select * from crm_profiles where crm_configuration_id = 71 order by id desc;
select * from crm_fields where crm_configuration_id = 71 order by id desc;
select * from crm_field_values where crm_field_id = 3341 order by id desc;
select * from crm_layouts where crm_configuration_id = 71 order by id desc;
select * from stages where crm_configuration_id = 71 order by id desc;
select * from users order by secondary_email desc;
select u.id, u.email, u.status, sa.id, sa.provider_user_id from social_accounts sa
join users u on sa.sociable_id = u.id
where sa.provider = 'google' and u.email LIKE 'aneliya%';
select * from failed_jobs order by id desc;
select * from users where email = '[EMAIL]' or secondary_email = '[EMAIL]';
select * from teams;
SELECT * FROM crm_profiles WHERE crm_configuration_id = 39;
SELECT * FROM crm_fields WHERE crm_configuration_id = 39 and object_type = 'task';
select * from social_accounts sa
join users u on sa.sociable_id = u.id
where u.team_id = 1
and sa.provider = 'salesforce';
# [PASSWORD_DOTS]
SELECT * FROM activities WHERE uuid_to_bin('c38b3895-fd0f-4b1f-9fb2-c170dba137c6') = uuid;
SELECT * FROM crm_configurations WHERE id = 70;
select * from teams where id = 1;
select * from groups where team_id = 1;
select * from users where team_id = 1;
select o.id, o.name,o.close_date, u.id, u.name, u.group_id, r.id, r.display_name, g.name, g.scope from opportunities o
join users u on o.user_id = u.id
join groups g on u.group_id = g.id
join role_user ru on u.id = ru.user_id
join roles r on ru.role_id = r.id
where o.crm_configuration_id = 39 and close_date > '2024-01-01 00:00:00';
select * from role_user where user_id = 143;
select * from roles;
select * from role_user;
select * from groups where id = 9;
select * from scope_groups where group_id = 9;
# [PASSWORD_DOTS]
select * from teams where id = 36;
select * from crm_configurations;
SELECT * FROM social_accounts WHERE sociable_id = 121;
[URL_WITH_CREDENTIALS] RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$key = $rateLimit->getKey();
if ($this->rateLimiter->tooManyAttempts($key, $rateLimit->getQuota())) {
return false;
}
}
return true;
}
public function requestAvailableIn(RateLimited $provider): int
{
return $provider->getRateLimits()->isNotEmpty()
? $provider->getRateLimits()
->map(fn (RateLimitInterface $rateLimit): int => $this->rateLimiter->availableIn($rateLimit->getKey()))
->max()
: 0
;
}
public function incrementRequestCount(RateLimited $provider): void
{
/** @var RateLimitInterface $rateLimit */
foreach ($provider->getRateLimits() as $rateLimit) {
$this->rateLimiter->hit($rateLimit->getKey(), $rateLimit->getWindow());
}
}
}
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelpDOCKERDOCKER (docker-compose)DEV (-zsh)882APP (-zsh)STAGE (ssh)*3"@timestamp":"2026-05-07T11:02:36Z""taskManager""taskManager"],,"tags" : ["info""message": "TaskManager is identified by the Kibbf01f365-e094-4cde-940d-3e0db65fa22a"}elasticsearch1 {"type":"timestamp":"2026-05-07T11:02:37,362Z*"level": "I"component" :"o.e.c.m.MetadataIndexTemplateService""cluster.name":"node. name": "e802ad473a4f""message" :"adding template [.management-beats]dex patterns [.management-beats]","8uh2w1CUSGyWYR_OvaKx6g","e2ZKzgw4Q4aCf2w51 jWr1A"{"type" : "log","@timestamp" : "2026-05-07T11:02:37Z", "tags" : ["info", "plugi,"crossClusterReplication"],"pid":7,"message": "Your basic license does not support crossClusterReplication.Please upgrade your license."}1 {"type" : "log""@timestamp": "2026-05-07T11:02:37Z" , "tags" : ["info", "plugi,"watcher"], "pid" :7,"message": "Your basic licensenot support watcher.grade your license. "31 {"type": "log""@timestamp": "2026-05-07T11:02:37Z","tags" : ["info", "plugi"monitoring","monitoring", "kibana-moni toring"], "pid" :7, "message" : "Starting monitorincollection"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elas,"data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:Actions-actions_telemetry]: versionconflict, document already exists (current version (754])"}kibanaticsearch"1 {"type" : "log""@timestamp" : "2026-05-07T11:02:38Z","tags" : ["error", "data"], "pid":7, "message" : "[version_conflict_engine_exception]: [task:endpoint:user-artifact-packager:1.0.0]: version conflict, document already exists (current version [313028])"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elasticsearch", "data"], "pid" :7, "message" : "[version_conflict_engine_exception]: [task:Alerting-alerting_telemetry]: version conflict, document already exists (current version [754])1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z","tags" : ["error"ticsearch", "data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:apm-telemetry-task]: version conflict, document already exists (current version [1231])"}1 {"type" : "log", "@timestamp":"2026-05-07T11:02:38Z".,"tags" : ["error"ticsearch", "data"], "pid":7,"message":"[version_conflict_engine_exception]: [task:Lens-lens_telemetry]: versionconflict,document already exists (current version1 {"type": "log""@timestamp": "2026-05-07T11:02:392","tags" : ["listening","info"],"pid" :7, "message": "Serverrunning at [URL_WITH_CREDENTIALS] "2026-05-07T11:02:42Z","tags" : ["info", "http""server", "Kibana"],"message": "http server running at [URL_WITH_CREDENTIALS] : "2026-05-07T11:02:44Z", "tags" : ["warning","reporting"], "pid":7, "message": "Enabling the Chromium sandbox provides an additional layer of protection. "}<Support Daily - in 58 m100% <78Thu 7 May 14:02:44-zshβ’ 84screenpipe*Y2PROD (ssh)'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.181β΄6+PRODSTAGE*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$X T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX t6FE (-zsh)Last login: Thu May 7 09:44:56on ttys004Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|FRONTENDEXTENSIONView in Docker Desktopo View ConfigEnable Watch...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<Support Daily - in 58 m100% <78Thu 7 May 14:02:49DEV (-zsh)882APP (-zsh)STAGE (ssh)*3DOCKERDOCKER (docker-compose)"@timestamp": "2026-05-07T11:02:36Z""taskManager""taskManager"],,"tags" : ["info""message": "TaskManager is identified by the Kibbf01f365-e094-4cde-940d-3e0db65fa22a"}elasticsearch1 {"type":"timestamp":"2026-05-07T11:02:37,362Z""level": "I"component" :"o.e.c.m.MetadataIndexTemplateService""cluster.name":"node. name": "e802ad473a4f""message" :"adding template [.management-beats]dex patterns [.management-beats]","8uh2w1CUSGyWYR_OvaKx6g","e2ZKzgw4Q4aCf2w51 jWr1A"{"type" : "log","@timestamp" : "2026-05-07T11:02:37Z", "tags" : ["info", "plugi,"crossClusterReplication"],"pid":7,"message": "Your basic license does not support crossClusterReplication.Please upgrade your license."}1 {"type" : "log","@timestamp" : "2026-05-07T11:02:37Z" , "tags" : ["info", "plugi,"watcher"], "pid" :7,"message": "Your basic licensenot support watcher.grade your license. "}1 {"type": "log""@timestamp": "2026-05-07T11:02:37Z","tags" : ["info", "plugi"monitoring","monitoring", "kibana-moni toring"], "pid" :7, "message" : "Starting monitorincollection"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elas,"data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:Actions-actions_telemetry]: versionconflict, document already exists (current version (754])"}kibanaticsearch"1 {"type" : "log","@timestamp" : "2026-05-07T11:02:382","tags" : ["error", "data"], "pid":7, "message" : "[version_conflict_engine_exception]: [task:endpoint:user-artifact-packager:1.0.0]: version conflict, document already exists (current version [313028])"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elasticsearch", "data"], "pid" :7, "message" : "[version_conflict_engine_exception]: [task:Alerting-alerting_telemetry]: version conflict, document already exists (current version [754])1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z","tags" : ["error"ticsearch", "data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:apm-telemetry-task]: version conflict, document already exists (current version [1231])"}1 {"type" : "log", "@timestamp":"2026-05-07T11:02:38Z".,"tags" : ["error"ticsearch", "data"], "pid":7, "message":"[version_conflict_engine_exception]: [task:Lens-lens_telemetry]: versiondocument already exists (current version1 {"type": "log""@timestamp": "2026-05-07T11:02:392","tags" : ["listening","info"],"pid" :7, "message": "Serverrunning at [URL_WITH_CREDENTIALS] "2026-05-07T11:02:42Z","tags" : ["info", "http""server", "Kibana"],"message": "http server running at [URL_WITH_CREDENTIALS] : "2026-05-07T11:02:44Z", "tags" : ["warning","reporting"], "pid":7, "message": "Enabling the Chromium sandbox provides an additional layer of protection. "}XIY2-zshβ’ 84screenpipe*PROD (ssh)'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$X T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6181+PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|View in Docker Desktopo View ConfigEnable Watch...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<Support Daily - in 58 m100% <78Thu 7 May 14:02:49DEV (-zsh)882APP (-zsh)STAGE (ssh)*3DOCKERDOCKER (docker-compose)"@timestamp": "2026-05-07T11:02:36Z""taskManager""taskManager"],,"tags" : ["info""message": "TaskManager is identified by the Kibbf01f365-e094-4cde-940d-3e0db65fa22a"}elasticsearch1 {"type":"timestamp":"2026-05-07T11:02:37,362Z""level": "I"component" :"o.e.c.m.MetadataIndexTemplateService""cluster.name":"node. name": "e802ad473a4f""message" :"adding template [.management-beats]dex patterns [.management-beats]","8uh2w1CUSGyWYR_OvaKx6g","e2ZKzgw4Q4aCf2w51 jWr1A"{"type" : "log","@timestamp" : "2026-05-07T11:02:37Z", "tags" : ["info", "plugi,"crossClusterReplication"],"pid":7,"message": "Your basic license does not support crossClusterReplication.Please upgrade your license."}1 {"type" : "log","@timestamp" : "2026-05-07T11:02:37Z" , "tags" : ["info", "plugi,"watcher"], "pid" :7,"message": "Your basic licensenot support watcher.grade your license. "}1 {"type": "log""@timestamp": "2026-05-07T11:02:37Z","tags" : ["info", "plugi"monitoring","monitoring", "kibana-moni toring"], "pid" :7, "message" : "Starting monitorincollection"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elas,"data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:Actions-actions_telemetry]: versionconflict, document already exists (current version (754])"}kibanaticsearch"1 {"type" : "log","@timestamp" : "2026-05-07T11:02:382","tags" : ["error", "data"], "pid":7, "message" : "[version_conflict_engine_exception]: [task:endpoint:user-artifact-packager:1.0.0]: version conflict, document already exists (current version [313028])"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elasticsearch", "data"], "pid" :7, "message" : "[version_conflict_engine_exception]: [task:Alerting-alerting_telemetry]: version conflict, document already exists (current version [754])1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z","tags" : ["error"ticsearch", "data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:apm-telemetry-task]: version conflict, document already exists (current version [1231])"}1 {"type" : "log", "@timestamp":"2026-05-07T11:02:38Z".,"tags" : ["error"ticsearch", "data"], "pid":7, "message":"[version_conflict_engine_exception]: [task:Lens-lens_telemetry]: versiondocument already exists (current version1 {"type": "log""@timestamp": "2026-05-07T11:02:392","tags" : ["listening","info"],"pid" :7, "message": "Serverrunning at [URL_WITH_CREDENTIALS] "2026-05-07T11:02:42Z","tags" : ["info", "http""server", "Kibana"],"message": "http server running at [URL_WITH_CREDENTIALS] : "2026-05-07T11:02:44Z", "tags" : ["warning","reporting"], "pid":7, "message": "Enabling the Chromium sandbox provides an additional layer of protection. "}XIY2-zshβ’ 84screenpipe*PROD (ssh)'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$X T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6181+PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|View in Docker Desktopo View ConfigEnable Watch...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<Support Daily - in 58 m100% <78Thu 7 May 14:02:51DEV (-zsh)882APP (-zsh)STAGE (ssh)*3DOCKERDOCKER (docker-compose)"@timestamp": "2026-05-07T11:02:36Z""taskManager""taskManager"],,"tags" : ["info""message": "TaskManager is identified by the Kibbf01f365-e094-4cde-940d-3e0db65fa22a"}elasticsearch1 {"type":"timestamp":"2026-05-07T11:02:37,362Z""level": "I"component" :"o.e.c.m.MetadataIndexTemplateService""cluster.name":"node. name": "e802ad473a4f""message" :"adding template [.management-beats]dex patterns [.management-beats]","8uh2w1CUSGyWYR_OvaKx6g","e2ZKzgw4Q4aCf2w51 jWr1A"{"type" : "log","@timestamp" : "2026-05-07T11:02:37Z", "tags" : ["info", "plugi,"crossClusterReplication"],"pid":7,"message": "Your basic license does not support crossClusterReplication.Please upgrade your license."}1 {"type" : "log","@timestamp" : "2026-05-07T11:02:37Z" , "tags" : ["info", "plugi,"watcher"], "pid" :7,"message": "Your basic licensenot support watcher.grade your license. "}1 {"type": "log""@timestamp": "2026-05-07T11:02:37Z","tags" : ["info", "plugi"monitoring","monitoring", "kibana-moni toring"], "pid" :7, "message" : "Starting monitorincollection"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elas,"data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:Actions-actions_telemetry]: versionconflict, document already exists (current version (754])"}kibanaticsearch"1 {"type" : "log","@timestamp" : "2026-05-07T11:02:382","tags" : ["error", "data"], "pid":7, "message" : "[version_conflict_engine_exception]: [task:endpoint:user-artifact-packager:1.0.0]: version conflict, document already exists (current version [313028])"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elasticsearch", "data"], "pid" :7, "message" : "[version_conflict_engine_exception]: [task:Alerting-alerting_telemetry]: version conflict, document already exists (current version [754])1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z","tags" : ["error"ticsearch", "data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:apm-telemetry-task]: version conflict, document already exists (current version [1231])"}1 {"type" : "log", "@timestamp":"2026-05-07T11:02:38Z".,"tags" : ["error"ticsearch", "data"], "pid":7, "message":"[version_conflict_engine_exception]: [task:Lens-lens_telemetry]: versiondocument already exists (current version1 {"type": "log""@timestamp": "2026-05-07T11:02:392","tags" : ["listening","info"],"pid" :7, "message": "Serverrunning at [URL_WITH_CREDENTIALS] "2026-05-07T11:02:42Z","tags" : ["info", "http""server", "Kibana"],"message": "http server running at [URL_WITH_CREDENTIALS] : "2026-05-07T11:02:44Z", "tags" : ["warning","reporting"], "pid":7, "message": "Enabling the Chromium sandbox provides an additional layer of protection. "}XIY2-zshβ’ 84screenpipe*PROD (ssh)'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$X T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6181+PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|View in Docker Desktopo View ConfigEnable Watch...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<Support Daily - in 58 m100% <78Thu 7 May 14:02:51DEV (-zsh)882APP (-zsh)STAGE (ssh)*3DOCKERDOCKER (docker-compose)"@timestamp": "2026-05-07T11:02:36Z""taskManager""taskManager"],,"tags" : ["info""message": "TaskManager is identified by the Kibbf01f365-e094-4cde-940d-3e0db65fa22a"}elasticsearch1 {"type":"timestamp":"2026-05-07T11:02:37,362Z""level": "I"component" :"o.e.c.m.MetadataIndexTemplateService""cluster.name":"node. name": "e802ad473a4f""message" :"adding template [.management-beats]dex patterns [.management-beats]","8uh2w1CUSGyWYR_OvaKx6g","e2ZKzgw4Q4aCf2w51 jWr1A"{"type" : "log","@timestamp" : "2026-05-07T11:02:37Z", "tags" : ["info", "plugi,"crossClusterReplication"],"pid":7,"message": "Your basic license does not support crossClusterReplication.Please upgrade your license."}1 {"type" : "log","@timestamp" : "2026-05-07T11:02:37Z" , "tags" : ["info", "plugi,"watcher"], "pid" :7,"message": "Your basic licensenot support watcher.grade your license. "}1 {"type": "log""@timestamp": "2026-05-07T11:02:37Z","tags" : ["info", "plugi"monitoring","monitoring", "kibana-moni toring"], "pid" :7, "message" : "Starting monitorincollection"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elas,"data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:Actions-actions_telemetry]: versionconflict, document already exists (current version (754])"}kibanaticsearch"1 {"type" : "log","@timestamp" : "2026-05-07T11:02:382","tags" : ["error", "data"], "pid":7, "message" : "[version_conflict_engine_exception]: [task:endpoint:user-artifact-packager:1.0.0]: version conflict, document already exists (current version [313028])"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elasticsearch", "data"], "pid" :7, "message" : "[version_conflict_engine_exception]: [task:Alerting-alerting_telemetry]: version conflict, document already exists (current version [754])1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z","tags" : ["error"ticsearch", "data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:apm-telemetry-task]: version conflict, document already exists (current version [1231])"}1 {"type" : "log", "@timestamp":"2026-05-07T11:02:38Z".,"tags" : ["error"ticsearch", "data"], "pid":7, "message":"[version_conflict_engine_exception]: [task:Lens-lens_telemetry]: versiondocument already exists (current version1 {"type": "log""@timestamp": "2026-05-07T11:02:392","tags" : ["listening","info"],"pid" :7, "message": "Serverrunning at [URL_WITH_CREDENTIALS] "2026-05-07T11:02:42Z","tags" : ["info", "http""server", "Kibana"],"message": "http server running at [URL_WITH_CREDENTIALS] : "2026-05-07T11:02:44Z", "tags" : ["warning","reporting"], "pid":7, "message": "Enabling the Chromium sandbox provides an additional layer of protection. "}XIY2-zshβ’ 84screenpipe*PROD (ssh)'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$X T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6181+PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|View in Docker Desktopo View ConfigEnable Watch...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<Support Daily - in 58 m100% <78Thu 7 May 14:02:54DEV (-zsh)882APP (-zsh)STAGE (ssh)*3DOCKERDOCKER (docker-compose)"@timestamp": "2026-05-07T11:02:36Z""taskManager""taskManager"],,"tags" : ["info""message": "TaskManager is identified by the Kibbf01f365-e094-4cde-940d-3e0db65fa22a"}elasticsearch1 {"type":"timestamp":"2026-05-07T11:02:37,362Z""level": "I"component" :"o.e.c.m.MetadataIndexTemplateService""cluster.name":"node. name": "e802ad473a4f""message" :"adding template [.management-beats]dex patterns [.management-beats]","8uh2w1CUSGyWYR_OvaKx6g","e2ZKzgw4Q4aCf2w51 jWr1A"{"type" : "log","@timestamp" : "2026-05-07T11:02:37Z", "tags" : ["info", "plugi,"crossClusterReplication"],"pid":7,"message": "Your basic license does not support crossClusterReplication.Please upgrade your license."}1 {"type" : "log","@timestamp" : "2026-05-07T11:02:37Z" , "tags" : ["info", "plugi,"watcher"], "pid" :7,"message": "Your basic licensenot support watcher.grade your license. "}1 {"type": "log""@timestamp": "2026-05-07T11:02:37Z","tags" : ["info", "plugi"monitoring","monitoring", "kibana-moni toring"], "pid" :7, "message" : "Starting monitorincollection"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elas,"data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:Actions-actions_telemetry]: versionconflict, document already exists (current version (754])"}kibanaticsearch"1 {"type" : "log","@timestamp" : "2026-05-07T11:02:382","tags" : ["error", "data"], "pid":7, "message" : "[version_conflict_engine_exception]: [task:endpoint:user-artifact-packager:1.0.0]: version conflict, document already exists (current version [313028])"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elasticsearch", "data"], "pid" :7, "message" : "[version_conflict_engine_exception]: [task:Alerting-alerting_telemetry]: version conflict, document already exists (current version [754])1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z","tags" : ["error"ticsearch", "data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:apm-telemetry-task]: version conflict, document already exists (current version [1231])"}1 {"type" : "log", "@timestamp":"2026-05-07T11:02:38Z".,"tags" : ["error"ticsearch", "data"], "pid":7, "message":"[version_conflict_engine_exception]: [task:Lens-lens_telemetry]: versiondocument already exists (current version1 {"type": "log""@timestamp": "2026-05-07T11:02:392","tags" : ["listening","info"],"pid" :7, "message": "Serverrunning at [URL_WITH_CREDENTIALS] "2026-05-07T11:02:42Z","tags" : ["info", "http""server", "Kibana"],"message": "http server running at [URL_WITH_CREDENTIALS] : "2026-05-07T11:02:44Z", "tags" : ["warning","reporting"], "pid":7, "message": "Enabling the Chromium sandbox provides an additional layer of protection. "}XIY2-zshβ’ 84screenpipe*PROD (ssh)'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$X T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6181+PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|View in Docker Desktopo View ConfigEnable Watch...
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4005450734105750523
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click
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp<Support Daily - in 58 m100% <78Thu 7 May 14:02:54DEV (-zsh)882APP (-zsh)STAGE (ssh)*3DOCKERDOCKER (docker-compose)"@timestamp": "2026-05-07T11:02:36Z""taskManager""taskManager"],,"tags" : ["info""message": "TaskManager is identified by the Kibbf01f365-e094-4cde-940d-3e0db65fa22a"}elasticsearch1 {"type":"timestamp":"2026-05-07T11:02:37,362Z""level": "I"component" :"o.e.c.m.MetadataIndexTemplateService""cluster.name":"node. name": "e802ad473a4f""message" :"adding template [.management-beats]dex patterns [.management-beats]","8uh2w1CUSGyWYR_OvaKx6g","e2ZKzgw4Q4aCf2w51 jWr1A"{"type" : "log","@timestamp" : "2026-05-07T11:02:37Z", "tags" : ["info", "plugi,"crossClusterReplication"],"pid":7,"message": "Your basic license does not support crossClusterReplication.Please upgrade your license."}1 {"type" : "log","@timestamp" : "2026-05-07T11:02:37Z" , "tags" : ["info", "plugi,"watcher"], "pid" :7,"message": "Your basic licensenot support watcher.grade your license. "}1 {"type": "log""@timestamp": "2026-05-07T11:02:37Z","tags" : ["info", "plugi"monitoring","monitoring", "kibana-moni toring"], "pid" :7, "message" : "Starting monitorincollection"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elas,"data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:Actions-actions_telemetry]: versionconflict, document already exists (current version (754])"}kibanaticsearch"1 {"type" : "log","@timestamp" : "2026-05-07T11:02:382","tags" : ["error", "data"], "pid":7, "message" : "[version_conflict_engine_exception]: [task:endpoint:user-artifact-packager:1.0.0]: version conflict, document already exists (current version [313028])"}1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z", "tags" : ["error", "elasticsearch", "data"], "pid" :7, "message" : "[version_conflict_engine_exception]: [task:Alerting-alerting_telemetry]: version conflict, document already exists (current version [754])1 {"type": "log", "@timestamp": "2026-05-07T11:02:38Z","tags" : ["error"ticsearch", "data"], "pid" :7, "message": "[version_conflict_engine_exception]: [task:apm-telemetry-task]: version conflict, document already exists (current version [1231])"}1 {"type" : "log", "@timestamp":"2026-05-07T11:02:38Z".,"tags" : ["error"ticsearch", "data"], "pid":7, "message":"[version_conflict_engine_exception]: [task:Lens-lens_telemetry]: versiondocument already exists (current version1 {"type": "log""@timestamp": "2026-05-07T11:02:392","tags" : ["listening","info"],"pid" :7, "message": "Serverrunning at [URL_WITH_CREDENTIALS] "2026-05-07T11:02:42Z","tags" : ["info", "http""server", "Kibana"],"message": "http server running at [URL_WITH_CREDENTIALS] : "2026-05-07T11:02:44Z", "tags" : ["warning","reporting"], "pid":7, "message": "Enabling the Chromium sandbox provides an additional layer of protection. "}XIY2-zshβ’ 84screenpipe*PROD (ssh)'do-release-upgrade' to upgrade to it.β’ *5-zsh|*** System restart required ***Last login: Mon Apr 27 07:45:272026 from 212.5.153.87lukas@jiminny-prod-bastion:~$ 0X T3 EU (-zsh)Last login: Thu May 7 09:29:14 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|T4STAGE (ssh)Run 'do-release-upgrade' to upgrade to it.*** System restart required ***Last login: Tue Apr 28 06:25:10 2026 from 212.5.153.87in:-$X T5QA (-zsh)Last login: Thu May 7 09:44:56on ttys002Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsX 16FE (-zsh)Last login: Thu May 7 09:44:56on ttys004β΄6181+PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX W7 ExT(-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|View in Docker Desktopo View ConfigEnable Watch...
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