Categories › Business & Finance › Business strategy, startups, product & careers
App Store opportunity data for coding agents: unmet demand, paying markets, build briefs.
Remote server: your requests and data go to minradar.com. Claude Code: claude mcp add --transport http minradar https://minradar.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
find_unmet_demand — Rank App Store opportunities in apps that already have a large user base but whose users are clearly unhappy (unmet demand). Returns a rankefind_solo_buildable — Find opportunities a single developer can realistically build: clear winnability plus an explicit single-user, local or offline core. Use whvalidate_paying_market — Rank app categories by evidence that users already pay inside them: how many of its apps reach the store-wide Top-Grossing chart, how many cget_opportunity_brief — Full evidence dossier for one app: score breakdown, plain-language diagnosis, complaint themes with verbatim user quotes, review provenance,generate_app_brief — Produce a ready-to-build product specification for an opportunity, formatted for a specific AI coding agent (codex, claude, or cursor). Inclsearch_open_source_accelerators — Find maintained, commercially reusable open-source projects for a niche, with license posture. Use to avoid rebuilding infrastructure and toexplain_method — Explain the scoring formulas, weights, and the honest limitations of the data. Use when a user questions the numbers.market_stats — Report local data coverage (apps, reviews, chart snapshots) and the last ingest run.Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.