com.minradar/minradar

minradar

App Store opportunity data for coding agents: unmet demand, paying markets, build briefs.

1.0.0
Version
remote
Transport
8
Tools

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Reviewed 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.