PostHog/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.

What it solves

PostHog is an all-in-one platform designed to help teams build "self-driving products." It solves the fragmentation of product development by combining analytics, user behavior tracking, and automated problem-solving tools into a single open-source suite, reducing the need for multiple disconnected tools to understand and improve a product.

How it works

PostHog integrates into applications via a JavaScript snippet, SDKs (supporting Python, Node, PHP, Ruby, etc.), or an API. It captures product data—such as events, errors, and session recordings—and provides a suite of tools to analyze this data. It also features a "self-driving mode" that uses product data to automatically generate researched reports and pull requests to fix issues. Additionally, it offers AI observability to track traces, cost, and latency for LLM-powered applications.

Who it’s for

It is built for product managers, developers, and growth teams who want to monitor user behavior, test features, and automate the product improvement cycle.

Highlights

  • Self-driving mode: Automatically turns product data signals (like rage clicks) into researched reports and PRs.
  • AI Observability: Specifically tracks generations, latency, and costs for LLM-powered apps.
  • Comprehensive Toolset: Includes product/web analytics, session replays, feature flags, A/B testing (experiments), and error tracking.
  • Data Integration: Features a built-in data warehouse and pipelines to sync data with 25+ external tools.
  • Agent Compatibility: Connects to AI agents (like Claude Code or Cursor) via the Model Context Protocol (MCP).

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