All-in-one open-source product analytics platform with session replay, feature flags, and A/B testing for engineers.
Phantom, a crypto wallet, used PostHog's feature flags as 'kill switches' for their backend RPC endpoints. By toggling these flags in real-time based on performance data, they reduced transaction failure rates by **90%**, keeping errors below 1% even during high-traffic beta launches.
Hasura, an open-source GraphQL engine, used PostHog's funnel analysis to identify a major drop-off point in their onboarding flow. By moving complex configuration steps to later in the journey based on this data, they improved their onboarding conversion rate by **10-20%**.
BuildBetter integrated PostHog to centralize user feedback and link it directly to GitHub issues. This automation resulted in a **50% reduction in manual workload** for the product team and a **2x increase** in the number of customer interactions captured and analyzed.
A product team discovered a **40% churn rate** on a specific 'Robot Setup' step using PostHog's path analysis. The data revealed that users weren't seeing the confirmation buttons, leading to a redesign that fixed the visibility issue and recovered the lost conversions.
PostHog is an open-source “Product OS” built specifically for engineers and technical product teams. Unlike traditional analytics tools that focus solely on marketing funnels or vanity metrics, PostHog combines product analytics, session replay, feature flags, and A/B testing into a single integrated platform. This allows teams to not only track what users are doing but also control how they experience the product from the same interface.
Founded in 2020 by James Hawkins and Tim Glaser, PostHog was born out of Y Combinator (W20) with a mission to give engineers better tools for understanding user behavior. It has since grown to serve over 190,000 customers, including high-growth startups like AssemblyAI and Hasura. Its key differentiator is its “all-in-one” approach and its open-source nature, offering a self-hosted version for companies that need complete control over their user data for privacy or compliance reasons.
PostHog eliminates the need to stitch together separate tools for analytics, session recording, and experimentation. Its core analytics engine uses “autocapture” to track every click, pageview, and form submission automatically, meaning you don’t need to write tracking code for every single event.
Instead of treating feature management as a separate discipline, PostHog integrates it directly with your data. You can roll out features to specific cohorts (e.g., “Power Users” or “Beta Testers”) and instantly see how that feature impacts conversion rates or usage metrics without exporting data to a third-party tool.
PostHog’s session replay goes beyond simple video-like playback by capturing the “under-the-hood” technical context. It records console logs, network requests, and DOM events synchronized with the user’s screen interactions.
For advanced users, PostHog offers direct access to the underlying data via HogQL, a SQL-like variant designed for product analysis. This allows data teams to build complex, custom visualizations that standard dashboards can’t handle.
PostHog operates on a transparent, usage-based pricing model with a generous free tier that resets every month. This makes it extremely accessible for early-stage startups and indie developers.
Free Tier:
Paid Plans: Once you exceed the free limits, you pay only for what you use. Prices decrease significantly as volume increases.
Special Programs: PostHog offers a generous PostHog for Startups program, providing $50,000 in free credits (valid for one year) for eligible early-stage startups (typically those backed by YC or other partners). They also offer discounts for non-profit organizations.
Hands-on experiments and discoveries with PostHog
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