🗣️ Find the right product, just ask
by•
We just shipped something new on Product Hunt.
Ask Product Hunt AI is a way to explore launches, products, and discussions without digging through pages or trying the perfect search query. You can just ask a question and it pulls from everything happening on the platform — products, comments, makers, all of it.
Looking for tools in a specific space? Want to see what people are saying about a launch? Trying to find something you saw last week but forgot the name of? Just ask.
It’s early, and we’re still figuring out what this becomes, so we’d love your feedback.
Try it out, break it, tell us what’s missing.
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This feels especially useful for the ‘I remember the problem, not the product name’ use case.
I’d be curious whether the team sees this becoming the default discovery surface over time, or more of a companion to search and collections.
It sucks, I tried it out. It doesn’t seem to be aware of all launches on Product Hunt. Please improve it. It can’t even find this url. Mxm
https://www.producthunt.com/products/suflate
This is a smart direction because people usually remember the problem or the context, not the exact product name.
The next unlock would be helping users refine vague intent step by step instead of forcing one perfect query upfront.
Curious which kinds of questions are already producing surprisingly good answers.
I like the idea behind the feature, but when I try to find my own product by name @PayScope , it says that there is no product with that name on PH. How to make my product searchable/findable?
This is actually a really useful direction, removing friction from discovery is exactly what PH needs more of. Love the “just ask” approach, especially for finding context around launches instead of only browsing them.
Curious, does it also surface older discussions or is it mainly focused on recent launches?
The "just ask" interface is exactly what discovery needs on PH. Right now, finding things requires either trending luck or exact keyword matching — this fills that gap.
One thing I'd test: does it handle comparative queries well? Like "show me no-code AI builders that support on-premise deployment" vs just single-keyword searches. That's where most AI search fails — multi-constraint queries that would normally need 5 separate filtered searches.
Also curious if you're planning to index comments/discussions (not just product metadata). That's where the real signal lives on PH.