Kubit helps product engineers optimize AI agents with user behavior. Connect agent traces directly to user activities to see exactly why users re-prompt, drop off, or convert. Then, feed those insights straight into your coding agent to build AI products that actually stick. Start instantly with seamless integrations via OTel, your CDP, or Bring Your Own Warehouse (BYOW).
Interesting project. We're currently doing this manually: we track the prompts, and whenever a user is dissatisfied, we pass the case to the team for improvement. We do it manually because we want to understand the reasons behind the AI's poor-quality responses, rather than simply optimizing based on user feedback.
About Product Analytics for Agents and Users on Product Hunt
“Optimize Agent Actions with User Behavior.”
Product Analytics for Agents and Users launched on Product Hunt on August 11th, 2026 and earned 113 upvotes and 6 comments, placing #9 on the daily leaderboard. Kubit helps product engineers optimize AI agents with user behavior. Connect agent traces directly to user activities to see exactly why users re-prompt, drop off, or convert. Then, feed those insights straight into your coding agent to build AI products that actually stick. Start instantly with seamless integrations via OTel, your CDP, or Bring Your Own Warehouse (BYOW).
On the analytics side, Product Analytics for Agents and Users competes within Analytics, Artificial Intelligence and Business Intelligence — topics that collectively have 654.7k followers on Product Hunt. The dashboard above tracks how Product Analytics for Agents and Users performed against the three products that launched closest to it on the same day.
Who hunted Product Analytics for Agents and Users?
Product Analytics for Agents and Users was hunted by Alex Li. 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.
For a complete overview of Product Analytics for Agents and Users including community comment highlights and product details, visit the product overview.
Alex Li
Interesting project. We're currently doing this manually: we track the prompts, and whenever a user is dissatisfied, we pass the case to the team for improvement. We do it manually because we want to understand the reasons behind the AI's poor-quality responses, rather than simply optimizing based on user feedback.