TradeFinity

People have stuff they do not need anymore, and they often want things they cannot easily afford, find, or justify buying. Barter should be the perfect solution, but in practice it almost never works because finding a direct one-to-one trade is really hard. You might have a bike and want a guitar, but the person with the guitar probably does not want your bike. The Oracle solves this by finding trade paths instead of simple matches. A user can upload a photo or describe something they want to trade, then say what they are looking for. The Oracle looks through real local barter listings and finds a chain of trades where everyone gives something they no longer need and gets something they actually value, with no money involved. For the MVP, we are focusing on real Craigslist barter listings from the Bay Area. A user can chat or upload a photo, and Gemini helps understand what they are offering, predicts what people might realistically want in return, searches the listing pool, and finds multi-step trade rings. For the hackathon demo, the goal is simple: prove the core loop works. The product should understand an item, figure out trade intent, search messy real-world listings, and show a specific trade path that feels possible in the real world.