minradar
App Store opportunity data for coding agents: unmet demand, paying markets, build briefs.
- 1.0.0
- Version
- remote
- Transport
- 8
- Tools
Security review
Review passedReviewed 1d ago.
- tools: 8 tools scanned
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Tools (8)
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 ranked table with tier, score, rating and scale. Use this first when deciding what app to build.
find_solo_buildable
Find opportunities a single developer can realistically build: clear winnability plus an explicit single-user, local or offline core. Use when solo feasibility is the primary constraint.
validate_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 charge upfront, paywall language in sampled reviews, and review depth. Call this before building to confirm a market monetises.
get_opportunity_brief
Full evidence dossier for one app: score breakdown, plain-language diagnosis, complaint themes with verbatim user quotes, review provenance, and matching open-source accelerators. Use after find_low_hanging_fruit to inspect a specific candidate.
generate_app_brief
Produce a ready-to-build product specification for an opportunity, formatted for a specific AI coding agent (codex, claude, or cursor). Includes the wedge, the verbatim complaints to fix, verified open-source accelerators, and a verification plan.
search_open_source_accelerators
Find maintained, commercially reusable open-source projects for a niche, with license posture. Use to avoid rebuilding infrastructure and to check whether a dependency is safe to ship.
explain_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.