FairBuy
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

FairBuy is an AI-guided shopping assistant designed to help people choose the right product first, then find the best offer for that exact product. The problem it solves: online shopping gives people plenty of options but little help deciding. Buyers must translate their needs into technical specifications, research unfamiliar terms, compare inconsistent listings, and uncover delivery costs or configuration differences themselves. FairBuy is designed to simplify that process: Understand your needs: describe what you want in plain language, without knowing technical specifications. Narrow the choices: get a small shortlist with clear reasons, trade-offs, and uncertainties. Refine recommendations: explain what you dislike, and adjust the search. Compare equivalent offers: evaluate the same configuration using total cost, availability, delivery, returns, and warranty. Keep you in control: you choose the product and complete the purchase with the retailer. Unlike a price-comparison site, FairBuy starts before you know what to buy. Its goal is to reduce research time, confusion, and costly buying mistakes, not simply find the lowest advertised price. This describes most of the capabilities already live built during the Meta Hackathon 2026. The platform is available on Render, with a password login. Contact me on Discord/email/LinkedIn for the password.