A geo-local dating and social networking app that helps singles discover, match and connect with people in their immediate area. Built for both Android and iOS, it combines geolocation-based matching with real-time messaging, smart profile algorithms and strong anti-fraud protections to deliver genuine local connections.
The dating app market is dominated by global platforms that feel impersonal and algorithm-heavy. Users in tier-2 and tier-3 cities wanted to meet people nearby — without invasive data practices, a bloated feature set or the anxiety of swiping through profiles from 500km away. The app needed locality at its core, not as an afterthought.
A focused, deliberate process — from discovery to deployment.
Built a geohash-based proximity system that groups users into dynamic geographic cells and updates match pools in real time as users move. Radius filtering from 1km to 100km with live distance display on every profile.
Implemented Socket.io-powered real-time messaging with delivery receipts, typing indicators, media sharing and FCM push notifications — handling 10,000+ concurrent connections at peak via horizontal scaling.
Developed an interest graph algorithm weighting match scores by shared interests, activity patterns and mutual engagement — surfacing compatible profiles above purely proximity-based results for higher-quality connections.
Implemented phone verification, AI-powered profile photo authenticity scoring, behaviour-based fraud detection (fake messaging, profile cloning) and a one-tap report + block system with moderation queue.
Real impact, measured and validated.
Every tool chosen deliberately for the problem at hand.
uDates feels genuinely local. I matched with three people from my own neighbourhood on the first night. That's never happened to me on any of the big apps.