Something we noticed: LLMs are surprisingly bad at health data out of the box.
Give Claude or GPT a week of sleep and HRV data and you get "Your average HRV was 45ms, slightly lower than last week's 48ms." Cool, I can read a spreadsheet too.
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.
Since sharing Prodshort here on @producthunt , we ve received a lot of early feedback. Ideas, feature requests, small improvements, UX feedback sometimes things we didn t even think about.
How do you decide what to actually build from all that feedback? Some feedback looks useful at first, but once you test it, you realize it adds complexity without real value. Other times, a small suggestion turns into something essential for the product. Would love to hear from your experience: How do you handle early feedback without going in too many directions?
