Dashboards are where insights go to die. Human Behavior closes the loop: 1) Collect. Our SDK captures your events, errors, and session replays. 2) Understand. AI watches every replay, catching rage clicks, dead buttons, and silent give-ups. 3) Act. Background agents email the customer, update Linear and your CRM, and open PRs with the replay as evidence. 4) Loop. Agents check the results and keep the product improving — on its own. No dashboard to babysit. It all lives in Slack or SMS.
Hey Product Hunt 👋 I'm Amogh, founder of Human Behavior.
This launch means a lot to us. We've been building for over 1.5 years and pivoted more times than I'd like to admit — we literally started as an AI accounting platform. The internal tool we built to watch our own session replays became the product. Classic story, but living it was brutal.
The insight that kept us going: dashboards are where insights go to die. Every product team is sitting on thousands of hours of session recordings and charts nobody has time to look at. The story of what users struggle with is in there. It mostly goes unread. So we built AI that watches it — and then does something about it.
Human Behavior uses Human Behavior. This month our agents watched 15,000 sessions of people using our product and made 16 PRs in our codebase — dead buttons, silent errors, layout shifts. None of them arrived as a bug report. We wrote up exactly what they found here: https://www.humanbehavior.co/blo...!
The last few months we've been seeing real momentum for the first time and it finally felt right to share it here. Honestly still a little scared to hit launch. Please try it, break it, and tell me what's confusing — I'll be in the comments all day. Love you all for checking it out and for the support. It genuinely means everything. ❤️
Really interesting approach to turning product analytics into action rather than another dashboard to monitor. As a founder, I’m curious: how do you see teams balancing autonomous AI actions with the need for human approval when those actions affect real customers?
the part id want to know about is the emailing. a PR or a linear ticket is reversible, an email to a customer isnt. is there a human in front of that one, or does it clear the same bar as opening a PR?
Congrats on the launch! It resonates. Seeing the drop-off was never the hard part. Understanding why it drops and fixing the issue is the real challenge. Question: can I set different leashes per action? (auto-open PRs and Linear tickets, but keep customer emails behind my approval)
the dogfood stat is the most convincing part, 16 PRs out of 15k sessions with none arriving as a bug report first. of those 16, how many merged clean vs needed a human to say actually that's expected behavior?
The era of dashboards is coming to an end, great use of AI here. Congrats on the launch!
closing the loop straight to Linear and Slack without forcing another dashboard on us is huge. congrats on the launch!
Such a great product. Just curious, how has your own product helped you prioritize features?
Thought of building this for myself, glad to see someone else do it! Sent you a DM :)
Huge congrats on the launch! I really like the problem you're tackling here. There’s so much user data sitting inside products, but actually understanding what users are struggling with is still surprisingly hard. Turning those messy session replays into clear, actionable insights feels genuinely useful. Wishing the whole team a strong launch today — excited to see how Human Behavior evolves!
Congrats on the launch! For developers / product people interested in using Human Behavior, where can they sign up?
About Human Behavior on Product Hunt
“Product analytics told you what happened. We handle it.”
Human Behavior launched on Product Hunt on August 13th, 2026 and earned 204 upvotes and 16 comments, placing #5 on the daily leaderboard. Dashboards are where insights go to die. Human Behavior closes the loop: 1) Collect. Our SDK captures your events, errors, and session replays. 2) Understand. AI watches every replay, catching rage clicks, dead buttons, and silent give-ups. 3) Act. Background agents email the customer, update Linear and your CRM, and open PRs with the replay as evidence. 4) Loop. Agents check the results and keep the product improving — on its own. No dashboard to babysit. It all lives in Slack or SMS.
Human Behavior was featured in Analytics (173.2k followers), Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 209.1k products, making this a competitive space to launch in.
Who hunted Human Behavior?
Human Behavior was hunted by Amogh Chaturvedi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Human Behavior stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Amogh Chaturvedi