š£ļø Find the right product, just ask
byā¢
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 ā 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.
Itās early, and weāre still figuring out what this becomes, so weād love your feedback.
Try it out, break it, tell us whatās missing.
646 views
Replies
Nice ship. One thing I keep wondering about with these, if Ask PH answers well enough, does it start to pull traffic away from the actual launch pages?
Or are you seeing it work more as a feeder that surfaces products people wouldn't have found otherwise? Feels like a real tension to design around.
Search on PH has always been a bit limiting when youāre exploring a problem, not a specific tool, so this layer makes a lot of sense.
How you will balance recency (hype / launches) vs long-term signal (retention, real usage, reviews). Thatās probably where most of the value will be.
Excited to see where this goes.
@aaronoleary I hope this pulls in more consumers to the site so that we aren't just pitching to other product creators all the time!
Building off @amraniyasser , if adding all these filters, maybe it would be cool to have a toggle for chat mode and filter mode. Similar to how in the LLMs when making artefacts you can switch between code view and visual view. Unclear on how that would work technically, but I Am sure Claude can help XD
Great move. Product Hunt has so much valuable context hidden inside launches, comments, and maker discussions, so being able to ask directly feels much more natural than searching manually.
Would love to see filters like ālaunched this week,ā āmost discussed,ā or ābest for solo foundersā inside the AI results. This could become a really strong discovery layer for the whole PH community š
I constantly forget the names of projects I saw a couple of weeks ago, and scrolling through the feed endlessly is no fun. I wonder how deep the AI digs into the archives? Does it only see recent launches, or can it pull something from 2020, for example?
the comments-as-signal layer is the most interesting bit. ph threads are full of half-buried context that never surfaces in regular search.
wondering if you can ask things like 'what are people complaining about in [category]' and actually get useful answers, or if it's mostly product-level retrieval for now
This feels especially useful for the āI remember the problem, not the product nameā use case.
Iād 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 doesnāt seem to be aware of all launches on Product Hunt. Please improve it. It canāt 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.