Personalized deals through swipe-based interface

Overview

A consumer app that fixes the random-feed problem in deal discovery. Users swipe on posted deals, the app learns style and interest after 2 to 3 swipes, then personalizes from there. Built solo at a San Francisco hackerhouse. Timing hypothesis: inflation and rising prices push consumer segments toward deal-first discovery.