PostHog

PostHog gathers the tools a product team would otherwise buy separately, analytics, replays, flags, experiments, surveys and error tracking, into one platform. Because the data lives together, a rage click, a failed query and an exception trace back to the same session instead of being correlated across four vendors.

Instrumentation starts with autocapture or manual events, using SDKs for common frontend, mobile and backend frameworks. An MCP server brings the data into Claude Code, Cursor or any MCP-compatible agent, and the platform can be driven from the web app, a desktop client or your editor.

The suite covers a wide span of product work.

• Analytics: event-based analysis with visualizations or SQL, plus a dashboard for traffic, conversion, web vitals and revenue.
• Session replays: watch real sessions on a website or mobile app to see what a metric actually looked like.
• Flags and experiments: roll features out to selected users or cohorts and measure statistical impact on goal metrics.
• Error tracking and logs: alerts on exceptions, with logs ingested and searched next to product data.
• Data pipelines: filters and transformations on incoming events, then delivery to other tools, a webhook or a warehouse.

The hosted cloud carries a free tier for each tool and is the recommended path. A one-line Docker script deploys a hobby instance on Linux, which scales to roughly one hundred thousand events per month without support or guarantees. The repository is open source apart from its enterprise directory, and a fork purged of proprietary code exists for anyone who needs one.