ThriftBrain
Your AI thrifting co-pilot. Snap a pic, see the profit.
What it does
Pricing and writing listings always killed my thrifting momentum. ThriftBrain fixes that. Snap a photo of any item (clothing, vintage, electronics), and in seconds you get: the exact item identified, live eBay sold comps, estimated net profit after fees, and a ready-to-paste SEO optimized listing. Stop guessing at the thrift store and start knowing exactly what your haul is worth. Try it free, no app install required!
Does the same job
all alternatives →- UAUnderpriced AI – Snap a photo, get instant resale value with AIJan 2026 · underpricedai.com · ▲10
Hey HN, I built Underpriced AI to solve a problem I had as a part-time reseller: standing in a thrift store trying to figure out if something is worth buying. How it works: - Snap a photo of any item - AI identifies the brand, model, maker, era, etc. - Pulls recent sold prices from eBay and other marketplaces - Gives you an instant valuation with confidence score You can also generate SEO-optimized eBay listings and publish directly from the app. Tech stack: Next.js, Claude API for vision/analysis, eBay API for market research and listing. The "Quick Scan" feature is designed for mobile…
Sell AI — Snap, List, SoldMay 2026 · apps.apple.com · ▲7Get a ready-to-post listing in sec on Vinted, Ebay & more
- TDThriftled – DoorDash for local thrift stores (books and clothes first)2025 · thriftled.com · ▲10
My cofounder and I noticed that thrift stores were still offline, and no one had tried to solve delivery for secondhand items the way DoorDash did for food. We built Thriftled, which lists inventory from local thrift stores, lets users shop online, and handles delivery. No warehouses, no massive ops overhead — stores ship directly, and we handle the UX, payments, and logistics. We're testing with books and clothes from Value Village and a few independents. Would love your thoughts on the model, tech stack, and growth ideas.
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