The use case: how Runable deploys PostHog
Runable, an AI agent platform for small business owners, uses PostHog for product analytics, session replay, feature flags, error tracking, logs and AI observability to understand agent runs and roll out changes. The growth team also uses it to build acquisition and funnel dashboards and send conversion events to ad platforms.
More reported results
Figures published in PostHog’s case study. They are not independently measured by usedby.
71 people have used PostHog in the last six months (about 30 of them daily)
In the last month alone, their agents made 7,562 tool calls from Claude Code, Codex, and Runable itself.
which has 39 flags live in production right now
with over 500 insight tiles and about 100 he checks four or five times a day
In the customer’s words
Instead of using 10 different data layers, data providers, and data collectors, you can just use PostHog.Other companies using PostHog
Customers across industries, with public evidence.
11XConfirmed
Arena (LMArena)ConfirmedCloudPeekConfirmed
CounterPressConfirmed
ElevenLabsConfirmed
ExaConfirmedGo straight to the source
Based on PostHog’s published case study. We check the public evidence; the results are reported by the vendor.
posthog.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 40MChecked
Printed word for word on the page, near the name of Runable.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Runable.
- Runable uses PostHogChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
In the last month alone, their agents made 7,562 tool calls from Claude Code, Codex, and Runable itself. Two thirds were SQL, the rest mostly Logs and Error Tracking: ranking issues by how many users they hit, and pulling exception payloads to find the failing method.