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PostHog

Docs - Community - Roadmap - Why PostHog? - Changelog - Bug reports PostHog provides every tool you need to build a successful product, and captures all the context agents need to proactively diagnose problems, uncover opportunities, and ship fixes: Self-driving mode: Turn signals in your product data (errors, rage clicks, failed queries, and more) into researched reports and pull requests you review and merge. Product analytics: Autocapture or manually instrument event-based analytics to understand user behavior and analyze data with visualization or SQL. Web analytics: Monitor web traffic and user sessions with a GA-like dashboard. Easily monitor conversion, web vitals, and revenue. Session replays: Watch real user sessions of interactions with your website or mobile app to diagnose issues and understand user behavior. Feature flags: Safely roll out features to select users or cohorts with feature flags. Experiments: Test changes and measure their statistical impact on goal metrics. Set up experiments with no-code too. Error tracking: Track errors, get alerts, and resolve issues to improve your product. Logs: Ingest, search, and analyze log data alongside the rest of your product data. Surveys: Ask anything with our collection of no-code survey templates, or build custom surveys with our survey builder. Data warehouse: Sync data from external tools like Stripe, Hubspot, your data warehouse, and more. Query it alongside your product data. Data pipelines: Run custom filters and transformations on your incoming data. Send it to 25+ tools or any webhook in real time or batch export large amounts to your warehouse. AI observability: Capture traces, generations, latency, and cost for your LLM-powered app. Workflows: Create workflows that automate actions or send messages to your users. You can steer it all from Slack, web, desktop (PostHog Desktop), or your own editor via the MCP.

View PostHog on GitHub
Navid Moazzezby Navid Moazzez·Updated Sept 30, 2026·2 min read
PostHog

Docs - Community - Roadmap - Why PostHog? - Changelog - Bug reports

PostHog provides every tool you need to build a successful product, and captures all the context agents need to proactively diagnose problems, uncover opportunities, and ship fixes: Self-driving mode: Turn signals in your product data (errors, rage clicks, failed queries, and more) into researched reports and pull requests you review and merge. Product analytics: Autocapture or manually instrument event-based analytics to understand user behavior and analyze data with visualization or SQL. Web analytics: Monitor web traffic and user sessions with a GA-like dashboard. Easily monitor conversion, web vitals, and revenue. Session replays: Watch real user sessions of interactions with your website or mobile app to diagnose issues and understand user behavior. Feature flags: Safely roll out features to select users or cohorts with feature flags. Experiments: Test changes and measure their statistical impact on goal metrics. Set up experiments with no-code too. Error tracking: Track errors, get alerts, and resolve issues to improve your product. Logs: Ingest, search, and analyze log data alongside the rest of your product data. Surveys: Ask anything with our collection of no-code survey templates, or build custom surveys with our survey builder. Data warehouse: Sync data from external tools like Stripe, Hubspot, your data warehouse, and more. Query it alongside your product data. Data pipelines: Run custom filters and transformations on your incoming data. Send it to 25+ tools or any webhook in real time or batch export large amounts to your warehouse. AI observability: Capture traces, generations, latency, and cost for your LLM-powered app. Workflows: Create workflows that automate actions or send messages to your users.

You can steer it all from Slack, web, desktop (PostHog Desktop), or your own editor via the MCP.

PostHog at a glance

Stars40k
Forks3.4k
LanguagePython
LicenseOther
Last update2026-09-22
Contributors588

Where PostHog is listed

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