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For B2C product teams, the hard part isn't running experiments — it's deciding what to test next. Experiment Intelligence scans your product, surfaces the highest-impact ideas you haven't tested, ranks them by AI confidence, and generates a ready-to-build wireframe for each. No more endless backlog debates — just a clear, prioritized plan and the variants to ship it, so you spend your time moving the metrics that matter.
Hey Product Hunt! 👋 Ajay here.
This started with a frustration I kept seeing across every B2C product team I worked with: running experiments was never the hard part — deciding what to test next was. The backlog is endless, the data lives in five different tools, and prioritization usually comes down to whoever argues loudest in the room. Good ideas die because no one can confidently say which one matters most.
So I built Experiment Intelligence. It scans your product, surfaces the highest-impact things you haven't tested yet, ranks them by AI confidence, and generates a ready-to-build wireframe for each idea — so you go from "what should we try?" straight to "here's the variant."
The biggest shift while building it: I started out thinking the value was the ranking. But every PM I showed it to immediately asked "okay, so what does the change actually look like?" — so the wireframe generation went from a nice-to-have to the core of the product. It stopped being a prioritization tool and became a "decide and ship" tool.
It's early, and I'm onboarding a small group for access. I'd love your honest feedback — what's useful, what's missing, what you'd never touch.
Request access here → https://ornate-tartufo-1d1789.ne...
What's the one experiment your team keeps deprioritizing but knows it should run?
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About Experiment Intelligence on Product Hunt
“AI ranks your next experiment, then wireframes it”
Experiment Intelligence was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #97 on the daily leaderboard. For B2C product teams, the hard part isn't running experiments — it's deciding what to test next. Experiment Intelligence scans your product, surfaces the highest-impact ideas you haven't tested, ranks them by AI confidence, and generates a ready-to-build wireframe for each. No more endless backlog debates — just a clear, prioritized plan and the variants to ship it, so you spend your time moving the metrics that matter.
Experiment Intelligence was featured in Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 99.9k products, making this a competitive space to launch in.
Who hunted Experiment Intelligence?
Experiment Intelligence was hunted by Aj Kothapalli. 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.
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Aj Kothapalli