Track what users love and complain about in your Chrome extension's reviews over time.
Compare your extension's reviews against named competitors to find positioning opportunities.
Generate a prioritized feature roadmap backed by real review complaints and competitor gaps.
Draft ready to post replies to every review your extension has received.
| yaksh1/reviewiq | 4ssh1/mine-sweeper | achawla19/intuitcode-extension | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | TypeScript | TypeScript | TypeScript |
| Last pushed | — | 2026-01-31 | — |
| Maintenance | — | Maintained | — |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 2/5 | 4/5 |
| Audience | pm founder | vibe coder | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Node 20+, Playwright Chromium, and either the claude CLI logged in or an API key for an AI provider.
ReviewIQ is a self hosted web app for anyone who builds a Chrome extension and wants to actually understand what their users, and their competitors' users, are saying in reviews. Instead of manually reading through the Chrome Web Store one review at a time, this tool scrapes reviews for your extension and any competitors you add, then uses an AI model to turn that pile of feedback into something useful. You organize your work into projects, where one extension is marked as yours and others are marked as competitors, and every analysis compares the two. Once reviews are fetched, the app can draft replies to your reviews, write a positioning statement based on what people complain about with competing extensions, summarize overall sentiment and common praises or complaints, track how ratings and sentiment change over time, and turn your weaknesses and your competitors' gaps into a prioritized list of features worth building next, complete with quotes as evidence. It can also suggest blog or landing page ideas based on real review demand and send scheduled digests of what has changed since the last check. For the AI part, you can either use your existing Claude Code subscription on your own machine at no extra cost, or bring your own API key from a wide range of providers including Anthropic, OpenAI, and several others, or point it at any compatible endpoint. Any key you provide is encrypted before being stored and is never shown back to you in full. To run it, you need Node 20 or newer and the Playwright browser automation tool, which the setup installs for you. After cloning the repository and installing dependencies, you start it locally and open it in your browser to create your first project. The whole application, including its scraper and its small SQLite database, can also be deployed as a single container to a hosting service like Fly.io. It is released under the AGPL v3 license.
A self hosted tool that scrapes Chrome extension reviews for you and competitors, then uses AI to turn them into insights, replies, and a roadmap.
Mainly TypeScript. The stack also includes TypeScript, Next.js, Playwright.
You can use and modify this freely, but if you run a modified version as a network service, you must share your source code changes with its users.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
Verify against the repo before relying on details.