Why We Love PostHog (But Think It Gets Even Better with Autoplay)
Why We Love PostHog (But Think It Gets Even Better with Autoplay)
PostHog is one of the best tools out there for building and shipping software fast.
It nails feature flags, making it easy to test and roll out changes without the fear of breaking things in production. It’s solid for infra monitoring and alerts, helping teams catch issues early and iterate quickly. And it has session replays that give a raw, unfiltered look at what users are actually doing in your product.
But here’s the thing:
PostHog helps you see what’s happening. Autoplay helps you understand why.
PostHog is great at developer-focused tooling. Autoplay’s focus is adoption - understanding how users engage with your product, where they get stuck, and what goals they’re trying to achieve. By combining PostHog’s infrastructure with Autoplay’s AI models, you can move from watching hours of session replays to seeing clear, actionable insights:
✅ Automatically surface moments of hesitation, confusion, or drop-off.
✅ Cluster user sessions by goals and intent, not just by page views.
✅ Track “golden paths” to see how close users get to value - and why they deviate.
✅ Skip manual tagging and maintenance as your product evolves.
Autoplay makes PostHog AI-native, layering unsupervised learning and intent recognition on top of your PostHog data. You get the best of both worlds: the developer velocity and control PostHog is known for, paired with an AI layer that supercharges your adoption strategy.
If you’re using PostHog today and want to truly understand your adoption challenges—and how to solve them - we’d love to show you how Autoplay plugs in to make it happen.
Integrate Autoplay with PostHog in Minutes
Setting up Autoplay with your PostHog instance is super simple.
You can follow our PostHog Integration Guide here to get started.
Ready to move from watching what users do to actually knowing how to help them succeed?
You can sign up to Autoplay here and start supercharging your PostHog data today.