AI-powered dating platform focused on meaningful relationships and long-term compatibility — Flutter mobile app with a privacy-first matching API on Node.js, PostgreSQL, and AWS.
Selected screens across the product — from marketing surfaces to in-app flows.
Challenge
Users were tired of endless swiping with little signal about long-term fit, making it hard to find serious matches.
Solution
Built a personality-aware matching engine with AI-powered compatibility signals and in-swipe hints so daters could prioritize high-intent connections over volume.
Challenge
Intentional daters lacked control over who could see their age, location, read receipts, and overall profile discoverability.
Solution
Shipped granular privacy toggles for age, location, read receipts, and profile visibility so users could expose only what they were comfortable sharing.
Challenge
Urban singles needed to discover matches at home and in travel cities without rebuilding their profile or losing context.
Solution
Implemented flexible local and travel-city discovery with location-scoped feeds, backed by PostgreSQL and Redis caching on AWS ECS.
Challenge
Matches often stalled after the first message because generic chat tools did not help break the ice or sustain engagement.
Solution
Added rich messaging — text, voice notes, GIFs, reactions, and conversation starters — plus free weekly Super Likes and unlimited swipe rewind to keep momentum after a match.
