Building a real-time sports betting platform comes with unique challenges: sub-second latency, handling high concurrency, and ensuring data consistency across all clients. Here's how I approached this using Next.js and Supabase.
The Architecture
The platform consists of three main components:
- Frontend: Next.js 14 with App Router for server-side rendering
- Real-time: Supabase Realtime for WebSocket connections
- Database: PostgreSQL with Row Level Security
Key Challenges and Solutions
One of the biggest challenges was ensuring that odds updates propagate to all connected clients within milliseconds. I solved this by leveraging Supabase's broadcast feature, which creates a pub/sub channel for instant messaging between clients.
// Real-time odds subscription
const channel = supabase
.channel('odds-updates')
.on('broadcast', { event: 'odds-change' }, (payload) => {
setOdds(payload.newOdds);
})
.subscribe();Database Schema
The database uses PostgreSQL with careful indexing on frequently queried columns. I implemented Row Level Security to ensure users can only see their own bets while administrators have full access.
Lessons Learned
"Premature optimization is the root of all evil. But ignoring scalability at the architecture level is equally dangerous."
The key takeaway from this project is that real-time features require careful planning around WebSocket connections, database connections, and state management. Start simple, measure performance, and iterate.
Next steps include implementing a more sophisticated caching layer and exploring edge functions for better global latency.