AI card scanner that identifies TCG cards and estimates raw/graded values.
CardLens is a working MVP for an AI-powered trading card recognition and valuation SaaS. The product lets users upload a trading card image, identifies the card using AI vision, separates raw vs graded valuation buckets, and pulls eBay active-listing data to generate a structured valuation report. It is especially focused on solving a common TCG pricing problem: scanners and valuation tools often misprice cards when multiple variants share the same character/card number, such as One Piece manga rares, alternate arts, and graded slabs. Current working features: Next.js SaaS app with search, result, history, collection, account, and pricing pages Prisma + Supabase database Auth/account structure Gemini/OpenAI/mock AI recognition architecture eBay Browse active-listing provider Raw vs graded valuation buckets Active listing confidence/warning system One Piece manga/V3 variant-aware filtering Graded slab detection, including PSA 10 cases CSV export Saved collection flow Build, typecheck, and smoke tests passing Verified test cases: Monkey D. Luffy EB02-061 Manga/V3 raw card: correctly identified and priced in the high-value range after variant filtering Trafalgar Law OP10-119 Japanese Manga PSA 10 slab: correctly identified as graded PSA 10 and priced in the correct active-listing range Tech stack: Next.js / React / TypeScript Prisma ORM Supabase PostgreSQL Gemini/OpenAI-compatible vision provider architecture eBay Browse API integration Stripe routes present but monetization not fully productionized Important limitations: No revenue or users yet eBay data is active asking-price data, not sold comps PriceCharting is not configured unless the buyer adds an API token Cardmarket is disabled unless the buyer implements a legal API integration Sold comps are disabled unless a legal sold-comps provider is configured Buyer must provide their own API keys and Supabase project This is an MVP/codebase sale, not a finished production business What is included: Full source code Prisma schema/migrations Buyer-facing setup documentation Environment variable template Handoff notes Suggested roadmap Known limitations list Ideal buyer: A developer, TCG marketplace operator, card shop, collector-tool founder, or SaaS builder who wants a strong starting point for an AI card valuation product. Suggested asking price: €2,500 Open to reasonable offers from serious buyers.
Project details
Next step: <p>A buyer can turn CardLens into a full AI trading-card valuation SaaS by deploying it publicly, adding production-grade user onboarding, integrating legal sold-comps data, adding PriceCharting/Cardmarket integrations where available, improving the canonical card/variant database, expanding support for Pokémon and One Piece variants, and launching subscriptions for collectors, card shops, and online sellers. The strongest next step is to improve listing evidence/auditability so users can see exactly which marketplace listings were used or rejected for each valuation.</p>
For sale
Asking price: $777 USD
What's included
All related design work, Source code, All related data
Clean source-code package, Prisma schema/migrations, Supabase setup notes, environment variable template, buyer-facing README, seller notes, marketplace listing notes, known limitations, and suggested roadmap. API keys, .env secrets, personal accounts, and third-party provider accounts are not included.
Reason for selling
I built CardLens as a working MVP to solve a real problem I experienced as a TCG collector: card scanners and valuation tools often misprice cards when variants, manga rares, graded slabs, and active listings are mixed together. I am selling because I need to focus on other commitments and cannot continue developing it properly right now.
Million-tycoon-
- Million tycoon is an interactive, gamified financial literacy application
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