Turn App Store reviews into a ranked feature backlog
AppInsight collects the app's public reviews and uses AI to rank the features users ask for most. A local-only tool for indie developers and product owners mining their own reviews.
Key Features
Paste an App Store URL or numeric app ID, choose a storefront, and it pulls reviews from Apple's public data.
Demand bars, category breakdowns, rating trends, and a happiness view over the reviews you've collected.
Send the ranked feature list out of the tool and into whatever holds your product backlog.
Why We Built This
The roadmap is already in the reviews
App Store reviews are full of feature requests, but they arrive one star rating at a time and nobody reads a thousand of them. We wanted the signal without the manual triage: collect the public reviews for an app, let a model group and rank what people are actually asking for, and hand back something you can drop straight into a backlog. It runs locally — no login, no cloud storage, no subscription — because it's reading your own reviews and the analysis is nobody else's business.
Feature requests are scattered across hundreds of reviews mixed in with bug reports and star ratings, so the pattern only shows up if someone reads all of them.
The same app gets different asks in different storefronts. Every (app, country) pair is collected, stored, and reported separately — us and tr analyses never merge.
Everything lives in the browser's localStorage and the server is stateless. The Gemini key sits in a local .env file and is never sent to the browser.