Supascout

Supascout is a lightweight, browser-based review analysis tool aimed at product managers, indie app developers and market researchers who want to understand real user sentiment without reading hundreds of reviews by hand. You type an app name, pick a region from a full country list, and it fetches the review sample for that storefront and produces an AI-generated breakdown. Each report shows the sample size, the average star rating, an overall sentiment label and the date of the most recent review included, so you can judge how current the analysis is.

The core of every report is three grouped sections: Satisfactions, Frustrations and Opportunities. Each item is a theme (for example onboarding friction, customization, or pricing complaints) with a short explanation and a count of how many reviewers raised it, which makes it easy to see which issues matter most. Example analyses published on the site cover well-known apps such as Notion, Headspace, Reddit, MyFitnessPal, Waze and LinkedIn.

Because it works from public App Store review data, Supascout is most useful before or during a product decision — validating an app idea, sizing up competitors, prioritizing a roadmap, or checking how users react to a recent release in a specific market. Access to the search tool appears free and open from the landing page, with no account required to run searches.