The Grid Experience
Don't just race - bet, trade, speculate.
Created on 15th November 2025
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The Grid Experience
Don't just race - bet, trade, speculate.
The problem The Grid Experience solves
The Grid Experience is a Web3 Formula 1 racing platform that combines 3D racing, blockchain betting, and real-time telemetry.
It includes a physics-based 3D racing game built with React Three Fiber and Cannon.js, where players control F1 cars on custom tracks with realistic handling.
The platform integrates blockchain through smart contracts for NFT-based racer ownership and a betting system where users place ETH bets on race outcomes.
A real-time dashboard displays live telemetry, including speed, RPM, tire temperatures, and lap times, synchronized via WebSocket connections.
The system supports multiplayer racing with real-time position synchronization, automated bot races, and a comprehensive market board showing live odds, betting pools, and race statistics. The frontend is built with Next.js and includes interactive 3D car visualizations, performance analytics, and a responsive design that provides an immersive F1 experience.
Challenges we ran into
The project faced several technical challenges.
WebSocket connections were unstable due to excessive update rates, causing disconnects and server overload.
This required throttling, debouncing, and connection state management. MetaMask integration needed robust error handling to ensure the transaction popup always appears, even when contract addresses are missing or network conditions are poor, requiring multiple fallback mechanisms including dummy transaction attempts.
Coordinating state across multiple applications—a Next.js frontend, separate React racing game applications, and WebSocket backend services—created race conditions and synchronization issues, especially when switching between mock data and live API responses. Performance optimization was critical for the 3D rendering engine, as complex physics calculations with React Three Fiber and Cannon.js, combined with multiple car models and real-time telemetry updates, caused frame rate drops and memory leaks.
Additionally, managing WebSocket subscriptions across multiple dashboard components led to memory leaks when components unmounted without proper cleanup, and the betting system required careful handling of transaction failures, user rejections, and network errors while maintaining a consistent user experience.
The architecture complexity of running separate applications on different ports while maintaining shared state and real-time synchronization added significant debugging overhead, as errors could originate from the frontend, backend server, smart contracts, or WebSocket connections, making issue isolation difficult.
Tracks Applied (1)