FastF1 · OpenF1 · Real Data

Pit WallPro

Live telemetry. Real tyre degradation models. Undercut probability. Natural language race queries. Every session. Every lap.

VERNORLECSAIHAMRUSPIAALO+12 more
FastF1Telemetry
OpenF1Live API
RedisPub/Sub
WebSocketsStream
FastAPIBackend
Next.jsFrontend
Claude APINL Query
AWS ECSDeploy
DockerContainer
PythonAnalysis
FastF1Telemetry
OpenF1Live API
RedisPub/Sub
WebSocketsStream
FastAPIBackend
Next.jsFrontend
Claude APINL Query
AWS ECSDeploy
DockerContainer
PythonAnalysis
Capabilities

Built for the pit wall

01

Live Telemetry Stream

Speed, throttle, brake, gear and RPM via WebSockets. Canvas-rendered charts that never drop a frame under high-frequency updates.

WebSockets · Redis · Canvas
02

Strategy Intelligence

Tyre degradation curves fitted from real lap data. Undercut probability scoring. Pit window analysis — the same logic race engineers use.

FastF1 · Regression · Python
03Coming Soon

Natural Language Query

Ask in plain English. "When did Norris close the gap in 2023 Singapore?" Claude converts it to a FastF1 query and renders the chart.

Claude API · NLP
04

Driver vs Driver

Side-by-side telemetry overlays, sector delta charts, lap time progression and tyre strategy timelines for any two drivers in any session.

Comparison · Delta · Sectors
05

ERS Deployment Estimate

No direct ERS data is public. We infer deployment zones from speed-throttle anomalies per corner — and we tell you exactly how we do it.

Inference · Physics Model
06

Archive 2018–2024

Every session. Every lap. Every corner. Replay any race from six seasons as a live stream at 1x, 2x or 10x speed.

FastF1 · Redis Pub/Sub
Ready

Enter the pit wall

Real telemetry. Real lap times. Real tyre compounds. Every session from 2018 to 2024 — replayed live.

Built by Sudhanshu Jadhav · 2025Data: FastF1 · OpenF1 · Not affiliated with Formula 1