Product Analytics
PostHog
Open-source product analytics, feature flags, and session replay.
Monthly cost
$0+ / mo
1M events/mo free; usage-based
Popularity
4/5
LLM knowledge
4/5
Difficulty
Easy
#open-source#self-hostable#low-cost
What PostHog is good at
Strengths
- +Open source + self-hostable
- +All-in-one
- +Generous free tier
Tradeoffs
- −UI can feel dense
- −Self-hosted ops nontrivial
Coding-agent prompt
Drop into Claude / Cursor to get idiomatic PostHog code.
You're working with PostHog. Open-source product analytics, feature flags, and session replay. Best practices: - Lean on: open source + self-hostable - Lean on: all-in-one - Lean on: generous free tier Things to watch for: - Watch out for: ui can feel dense - Watch out for: self-hosted ops nontrivial General guidance: - Canonical docs: https://posthog.com — check here before inventing APIs. - Keep secrets in environment variables, never commit them. - Write TypeScript where the ecosystem supports it; add types to every exported function. - Add tests for the critical paths before declaring the task done. - Read-the-docs is usually faster than guessing — cite the docs page in code comments when you apply a non-obvious pattern.
Beginner's guide to PostHog
In one line: Open-source product analytics — see what users actually click in your app.
PostHog tracks user events (button clicks, sign-ups, page views) and helps you answer questions like 'what % of people who sign up come back?'. Also does session replays, feature flags, and A/B tests.
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