PostHog is an open-source product and event analytics platform that supports event capture, session replay, feature flags and A/B testing.
Key features
- Product and event analytics: collect events automatically or manually and analyze them with visual reports or SQL.
- Session replay: record and replay user sessions for debugging and behavior analysis.
- LLM/AI analytics: tooling to capture LLM traces, latency and cost for AI-powered applications.
Use cases
- Product and user behavior analytics: measure activation, retention and conversion metrics.
- AI application monitoring: track LLM calls, generation quality and cost to build feedback loops for model optimization.
- Experiments and A/B testing: evaluate product changes and make data-driven decisions.
Technical notes
- Deployment options: PostHog Cloud or self-hosted deployments (Docker, Kubernetes).
- SDKs and integrations: JavaScript, Python, TypeScript and other SDKs for easy instrumentation.
- Extensible ecosystem: plugins, pipelines and data warehouse integrations to export or enrich event data.