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NeedRadar
Don't guess what to build. Mine it from reviews.
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.
Top comment
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.
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.
On the analytics side, NeedRadar competes within Productivity, SaaS and Tech — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how NeedRadar performed against the three products that launched closest to it on the same day.
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.
For a complete overview of NeedRadar including community comment highlights and product details, visit the product overview.