A focused research library
AppMochi keeps only the evidence needed for a first-pass product decision.
Shown here
- App icon and preview screenshots
- Current score and rating count when available
- Original release and latest update dates
- Research role and one-line takeaway
- Text-first and web-only adjacent products
- Strongest sampled non-US storefronts
Available when useful
- Version, developer, genre, age rating, and price
- Written-review themes and review velocity via Apple RSS
- Subscription offers and privacy labels from product pages
- Social traction and creator-distribution evidence
- Historical rank, downloads, and revenue from paid datasets
Default scope: Recent success = an App Store product launched within 12 months of the snapshot that already has at least 500 US ratings. Use All research for early and web-only products.
Roles: Benchmark = scaled reference; Watch = current challenger; Adjacent = neighboring model; Context = useful mature comparison; Inspiration = mechanic or aesthetic reference; Early = clear idea with weak signal; Lead = supplied candidate awaiting verification.
Important: the public Apple API provides current storefront snapshots, not historical rating velocity. Revenue and download estimates should never be inferred from ratings.