Developer builds quiz-driven AI gift recommender that ranks Amazon products by recipient fit

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A developer has launched GiftHive, a gift recommendation tool that uses a 30-second quiz to match products to recipients based on relationship, interests, occasion, and budget. Unlike conventional AI gift finders that rely on keyword search, GiftHive scores products using a weighted algorithm measuring tag overlap, budget fit, and occasion relevance — requiring no machine learning model. The app is built with Next.js, Tailwind CSS, and deployed on Cloudflare Pages, with revenue generated through Amazon Associates affiliate links. A three-step conversion funnel — landing page, quiz, and results — was carefully optimised, including a route-aware exit-intent modal that avoids interrupting users mid-quiz. The creator notes that fixing a misplaced modal trigger recovered roughly 15% of lost quiz completions, highlighting the importance of component-level routing logic in conversion design.

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