Open-source product analytics, session replay, and experimentation
PostHog is the all-in-one product analytics platform that has quietly become the default for technical SaaS teams. It bundles product analytics, session replay, A/B testing, feature flags, surveys, error tracking, and a data warehouse into a single workspace — replacing what would otherwise be 5-6 separate vendors. The pricing model is the killer feature: PostHog is free up to 1M events per month, after which you pay only for what you use.
Most early-stage startups never pay anything. The platform is open-source, self-hostable, and has excellent developer documentation. For marketers, the most useful features are the product analytics (event-based, cohort-aware) and the session replays (watch real users navigate your site).
The cohort builder is one of the best in the category and feeds directly into experiment targeting. PostHog has become a favorite among Y Combinator startups, AI tools, and any team that values consolidating their data stack. For technical SaaS teams who want one platform for product analytics, replays, experiments, and feature flags, PostHog is the right choice.
Technical SaaS teams who want one platform for product analytics, replays, experiments, and feature flags — without the per-tool subscription bloat.
Yes — PostHog has a generous free tier with 1 million events per month, 5,000 session recordings, and 1 million feature flag requests. Most early-stage startups never pay anything.
PostHog can replace Mixpanel/Amplitude (product analytics), Hotjar/FullStory (session replay), LaunchDarkly (feature flags), Optimizely (A/B testing), Sentry (error tracking), and several survey tools — all in a single platform.
Yes. PostHog is open-source under the MIT license, and you can self-host it on your own infrastructure if you don't want to use the hosted version.
PostHog is strongest for technical marketers and growth teams. Its event-based analytics and cohort builder are excellent, but marketers focused on multi-touch attribution may want to pair it with a dedicated attribution tool.
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