This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Unlike basic review aggregators that only show star ratings or word clouds, NeedRadar uses LLMs to deeply understand pain points, feature requests, and intent from hundreds of thousands of app reviews. It covers not just App Store and Google Play, but also Chinese stores like Huawei, Xiaomi, vivo, OPPO, Coolapk, and TapTap. Each opportunity gets an ROI score based on frequency × severity × user value × competitor gap.
I spent years as a product manager reading thousands of app reviews manually. It was exhausting — 90% noise, buried signal. Worse, we kept building features users didn't ask for, while their biggest frustrations (like offline mode) went ignored for months because nobody had time to mine reviews across multiple app stores.
Then I tried existing tools. They showed word clouds and sentiment scores, but never told me what to build next. So I built NeedRadar.
The first version only analyzed English reviews from App Store. Then we added semantic clustering, then ROI scoring. The hardest part was training the LLM to distinguish “nice to have” from “urgent pain” and to handle 8+ app stores (including Chinese ones with different review formats).
Now, anyone can enter an app name and get a ranked list of feature opportunities — backed by real numbers, not gut feelings. We're in closed beta. Join the waitlist and lock early-bird pricing.
Spent time digging through reviews before, so this resonates. Like that it turns feedback into clear next steps instead of just charts. Just upvoted and rooting for you, this would have saved me a lot of time.
About NeedRadar on Product Hunt
“Don't guess what to build. Mine it from reviews.”
NeedRadar was submitted on Product Hunt and earned 4 upvotes and 2 comments, placing #80 on the daily leaderboard. Unlike basic review aggregators that only show star ratings or word clouds, NeedRadar uses LLMs to deeply understand pain points, feature requests, and intent from hundreds of thousands of app reviews. It covers not just App Store and Google Play, but also Chinese stores like Huawei, Xiaomi, vivo, OPPO, Coolapk, and TapTap. Each opportunity gets an ROI score based on frequency × severity × user value × competitor gap.
NeedRadar was featured in Productivity (652.3k followers), SaaS (42.2k followers) and Tech (624.1k followers) on Product Hunt. Together, these topics include over 341.8k products, making this a competitive space to launch in.
Who hunted NeedRadar?
NeedRadar was hunted by tian hao. 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.
Want to see how NeedRadar stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
tian hao