Flagship engineering case study · Alpha Prototype
LapSignal
A sim-racing telemetry and coaching platform that processes F1 2021 driving data into actionable analysis, combining deterministic analytics with optional, evidence-bounded AI coaching.
- F1 2021 UDP ingestion, recording and replay
- FastAPI backend and Next.js interface with bounded WebSocket updates
- Deterministic lap and session analysis with validated data boundaries
- Local-first telemetry and optional coaching grounded in measured evidence

From telemetry to coaching
- 01 →F1 2021 → UDP
Live driving telemetry or recorded replay
- 02 →Windows collector
Normalize telemetry into a game-independent contract
- 03 →Python / FastAPI
Zod and Pydantic validate data at the boundaries
- 04 →Deterministic analytics
Session and lap metrics, comparison and verified findings
- 05 →Next.js interface
Bounded WebSocket updates and circuit visualization
- 06 →Optional AI coaching
Explain verified findings; retain rule-based coaching
The optional AI layer receives compact verified metrics, findings and evidence IDs. It does not calculate performance from raw telemetry; unsupported measurements are rejected. Rule-based coaching remains available without an API key.




