LapsTime
motorsport data for everyone
Individual Engineering Project
I'm a fourth-year university student and I've developed LapsTime, which processes real-time Formula 1 telemetry data directly from the track. This application reverse-engineers the official timing protocol to provide live gaps, sector times, and race control messages with minimal latency. Developed as a final year capstone project to demonstrate high-performance data handling on the web.
See the race unfold in real time.
Track positions, gaps, and sector times updated every 100ms. Know exactly who's gaining, who's losing, and where it's happening.
- 100ms update frequency—faster than you can blink
- Sector-by-sector analysis for all 20 drivers
- Live tyre compound and age tracking
The Stack
Under the hood.
Frontend Core
- Next.js 15
- React 19 RC
- TypeScript 5
- Tailwind CSS
Real-time Data
- SignalR
- OpenF1 API
- Jolpica F1
- Nominatim
Visualization
- Apache ECharts
- TradingView
- Recharts
- Framer Motion
UI System
- Radix UI
- Lucide Icons
- Sonner
Infrastructure
- Vercel Edge
- Cloudflare
- Serverless
Engineering
- Binary Decoding
- Adaptive Polling
- Custom Hooks
Built for performance.
Hosted on enterprise-grade infrastructure to ensure you never miss a moment of the action.
Data refreshes 10 times per second, giving you the most responsive live timing experience available.
Continuous monitoring and instant scaling ensure peak performance during every race weekend.