PostHog

1. How PostHog Works

   Architecture, ingestion pipeline, and how events are stored and queried.

2. Product Analytics

   Events, insights, funnels, retention, and dashboards.

3. Data Management

   Events, properties, actions, persons, and data definitions.

4. SDKs and Libraries

   Client and server SDKs, capture, identify, and configuration.

5. Session Replay

   Recording sessions, privacy masking, and replay playback.

6. Feature Flags

   Creating flags, targeting, rollouts, and evaluating flags in SDKs.

7. Experiments

   A/B testing with feature flags and statistical significance.

8. Error Tracking

   Capturing exceptions, grouping issues, and alerting.

9. Web Analytics

   Traffic, sources, and page-level web metrics.

10. Surveys

    In-product surveys and targeting.

11. Data Warehouse and SQL

    Querying external data and HogQL/SQL access.

12. Data Pipelines

    Transformations, destinations, and importing or exporting data.

13. Privacy and Compliance

    GDPR, data retention, and cookieless tracking.

14. Self-hosting

    Deploying and operating PostHog on your own infrastructure.

Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.