Inspiration
We wanted to transform dating from a static experience into something active and adventurous. Most dating apps reduce connection to endless swiping, which feels detached and repetitive. Inspired by the movement and discovery of Pokémon GO, we imagined an experience where people meet naturally through exploration and play. That idea became PokeDate, a geolocation-based dating app that combines fun, motion, and real-world connection.
What It Does
PokeDate lets users discover and connect with nearby people in a playful, map-driven environment. Users can:
View nearby profiles on a live interactive map
Throw a "Pokéball" at another user within a certain distance to express interest
Match instantly when two users "catch" each other
Customize visibility and preferences, or go into ghost mode for privacy
The app merges gaming dynamics, geolocation, and authentic social interaction into a single seamless experience.
How We Built It
Frontend: Built with React Native (Expo) and TypeScript for fast, type-safe mobile development
Backend: Express.js API hosted on Vercel or Render
Database & Auth: Supabase (PostgreSQL with Row Level Security) for data storage and user authentication
Realtime Communication: Socket.IO for live updates and events between users
Maps: React Native Maps for location display and clustering
Styling: NativeWind/Tailwind-RN for consistent and reusable design components
We followed a modular, phase-based build process to ensure stability and scalability. Each phase—authentication, location sharing, matching, and interaction—was developed and tested independently. Git and strict Cursor Rules were used to maintain structure and prevent regressions during AI-assisted coding.
Challenges We Ran Into
Efficiently handling frequent real-time location updates without overloading the API
Designing a map interface that communicates both proximity and intent clearly
Maintaining accurate distance checks across both the client and server
Keeping AI-generated code consistent with architectural decisions as the codebase expanded
Accomplishments That We're Proud Of
Delivered a fully functional map-based dating prototype with smooth real-time interactions
Created a clean, scalable React Native codebase with shared UI components
Implemented socket-based matching logic in a minimal and maintainable way
Prioritized user privacy by ensuring that location sharing is opt-in and fully revocable
What We Learned
Precise prompt engineering and well-managed context make AI collaboration far more effective
Breaking large features into smaller, isolated tasks leads to cleaner, testable modules
Row Level Security in Supabase is powerful for enforcing ownership and visibility at the database level
It is possible to build a “fun” and engaging UX while maintaining solid engineering discipline
What's Next for PokeDate
Add secure in-app chat and push notifications for matches
Introduce augmented reality features to make the “throw” mechanic more immersive
Build a lightweight AI moderation layer for safety and trust
Create public hotspots and social events for in-person discovery
Explore machine learning-based recommendations to improve match quality
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