What is DevScope?
DevScope is a research tool for exploring App Store developers and product portfolios from a team-level perspective.
This page explains DevScope scope, data source boundaries, and how to use recommendations responsibly.
DevScope is a research tool for exploring App Store developers and product portfolios from a team-level perspective.
It is useful for indie developers, product managers, market researchers, and anyone studying app opportunities.
Core data comes from Apple iTunes Search API and public storefront pages. DevScope is not affiliated with Apple.
No. DevScope is an independent product that works on top of publicly accessible data sources.
Data freshness depends on upstream APIs and cache policy. It usually reflects recent state but is not guaranteed to be strictly real-time.
App Store storefronts vary by region, including descriptions, screenshots, subscriptions, and visible metadata fields.
Screenshot fields vary across apps and regions. DevScope uses API-first data and then attempts public-page fallback, but some gaps can still remain.
Teams are shortlisted by rule-based signals (quality, scale, monetization tendency), then re-ranked by AI to avoid long-term concentration.
They should be treated as directional support, not single-source truth. Validate with your own product, market, and user data.
Search target teams, inspect portfolio structure and rating signals, compare categories and storefront differences, then add historical/editorial context.
Favorites are currently stored locally in your browser (localStorage). Clearing site data removes them.
The site uses analytics for aggregate traffic and product improvement signals. Personally identifying information is not publicly exposed.
The current focus is interactive web exploration. Public export APIs are not available yet and may be evaluated later.
Possibly. If monetization is introduced, we aim to keep core experience useful and provide transparent product/privacy communication.
Start with 2-3 teams in your target category and inspect portfolio size, core genres, and rating structure.
Open app details and compare screenshots, descriptions, and subscriptions across regions to infer positioning and monetization.
Use AI recommendations and news signals to draft 3 product hypotheses, then validate with your own user and business data.