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Work · May 4, 2026

NeedRadar

Don't guess what to build. Mine it from reviews.

What it does

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.

Does the same job

all alternatives →
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  • App Listing Rater2015 · ▲120

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  • Google Reviews Analyzer2023 · ▲112

    Open source Google Reviews analyzer project using LLM

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  • NW

    Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

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