posthog:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

posthog

PostHog is the open source platform for building self-driving products, combining AI observability with comprehensive developer tools to help teams diagnose problems, uncover opportunities, and ship fixes automatically. It provides analytics, session replay, feature flags, experiments, error tracking, and more—all in one unified platform that agents can access to proactively improve your product.

Key Features

• Self-Driving Mode : Automatically turn product signals like errors and rage clicks into researched reports and pull requests
• Product Analytics : Autocapture or manually instrument event-based analytics with visualization and SQL query support
• Session Replay : Watch real user interactions to diagnose issues and understand user behavior patterns
• Feature Flags & Experiments : Safely roll out features to select users and run A/B tests with statistical impact measurement
• Error Tracking & Logs : Monitor errors with alerts and ingest log data alongside product analytics
• AI Observability : Capture traces, generations, latency, and costs for LLM-powered applications

Use Cases

• Product Teams : Monitor user behavior and conversion metrics to optimize product performance and user experience
• AI/ML Teams : Track LLM application performance, costs, and quality with integrated observability
• Engineering Teams : Debug issues faster with session replays, error tracking, and correlated log data
• Data-Driven Organizations : Combine product data with external sources via the data warehouse and pipelines

Who Is It For

PostHog is designed for product engineers, developers, and data teams who want an all-in-one analytics and observability platform that can be self-hosted or used as a managed cloud service. It's ideal for organizations building intelligent, self-improving products that need comprehensive context to make automated decisions.