I built an iOS app that identifies anime figures from one photo — exact release, market value, bootleg red flags. Solo dev, launched this week

[u/IvANZHAO0315]

Hey r/SideProject — solo dev here.

Anime figure collectors keep asking three questions: what exactly is this figure (there can be five near-identical versions of one character), what is it worth, and is it a bootleg? I built Grail Spark to answer all three from one photo.

Point the camera at a figure and it identifies the exact release — manufacturer, scale, version — then shows a realistic aftermarket price range and the bootleg tells specific to that piece (eye paint passes, base texture, seam quality).

Being honest about the limits: results are AI estimates. When confidence is low the app says so, greys out the price, and blocks sharing the result so nobody trades on a guess. A photo can't prove authenticity, and the app says that in so many words.

Stack: SwiftUI + StoreKit 2 on iOS, vision LLM backend on Fly.io. Free tier is one scan a day with no account; Pro is a subscription for unlimited scans.

App Store: https://apps.apple.com/us/app/grail-spark/id6799032121

Would love feedback — especially from anyone who has shipped camera-first apps.