A feed that learns your style from what you save, over listings from Europe's secondhand marketplaces. Search by describing it or by photo. Buy from the seller on the marketplace it is listed on, or from a student on your campus.
A vertical feed of secondhand pieces. Swipe right to save. Every save moves your feed closer to your taste.
Describe what you're after — "baggy black jeans under 30" — or attach a photo. The feed filters itself. Photos are analysed and never stored.
Outfit cards pair pieces that go together, not just ones that look alike. Swap a tile, save the whole look, share it.
Each card opens the original listing. You buy from the seller on their marketplace, under its buyer protection and terms. Campus items you pay for in the app, and the seller is paid only once you have the item.
ThriftUp aggregates public listings from secondhand marketplaces, including eBay and Etsy, and links every item back to its source. ThriftUp is an independent discovery app and is not affiliated with or endorsed by any marketplace.
On campus, students also sell to each other in the app. List your own pieces in a minute, get paid in the app, and hand them over in person. The buyer scans your code and checks the item, and the money only moves once they accept it.
ThriftUp is built by Urban Cretnik, a mathematician in Rotterdam. Under the feed is a vision model trained on roughly 135,000 complete outfits across 27 styles — so it learns what goes together, not only what looks the same. That is why the feed can suggest a bottom and shoes for a top you saved, and why a photo search returns pieces that match the look, not copies of it.
No ads, no data sold. You can browse without an account; you sign in with Apple only to buy, sell or message, and you can delete your account in the app at any time — see the privacy policy.
Questions, ideas, press: info@thrift-up.com.