In simple English
Reading hundreds of app store reviews takes too much time. This tool automatically downloads those reviews for any application. An artificial intelligence (a computer program that generates human-like text) reads them and picks out common complaints. It creates a clean webpage showing what users hate, what they want, and where your competitors fail. You can run it on your own server for free, but you need your own key for the AI model.
What it is
A Next.js (a framework for building web applications using React and TypeScript) web application that fetches reviews from the App Store and analyses them with an AI model. It caches the results locally and builds shareable product research pages with charts and evidence.
What it is good for
Solo builders and product managers who want to find product gaps in competitor reviews or turn user feedback into actionable feature requests without reading every review by hand.
- Generates clean, shareable insight pages with charts and original review quotes.
- Protects your budget with built-in daily generation limits and three-day result caching.
- Includes Docker support for straightforward deployment on your own server.
- Requires an API key and a paid account for an AI provider such as DeepSeek.
- Depends on Apple review feeds which can change or limit how many comments you can download.
- Stores data in local JSON files by default, which needs extra configuration for persistent cloud storage.
Reading thousands of App Store reviews by hand in a spreadsheet.
DeepSeek API
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git clone https://github.com/joeseesun/qiaomu-app-review-insights.git cd qiaomu-app-review-insights npm install cp .env.example .env.local npm run dev