adn8naiagent

adn8naiagent / F1ReplayTiming

Public

Visualisation of real-time track data and telemetry synced to F1 replays.

71
4
100% credibility
Found Mar 09, 2026 at 68 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A web app for replaying historical Formula 1 sessions featuring interactive track maps, real-time car telemetry, leaderboards, and broadcast synchronization using public F1 timing data.

How It Works

1
🏎️ Discover F1 Replay Timing

You find this fun tool online that lets you relive past Formula 1 races with maps, timings, and car positions just like watching live.

2
💻 Set it up at home

Follow easy steps to get the website running on your computer, adding a folder for race data and optionally linking a smart photo reader.

3
🚀 Launch the app

Open your web browser to see the session picker and choose a year, race weekend, and event like the main race or qualifying.

4
🗺️ Watch the race unfold

Cars move smoothly on the track map with real GPS positions updating every half-second, while the leaderboard shows gaps, tyres, and pit info.

5
📱 Sync with your TV

Snap a photo of the broadcast leaderboard on your screen or enter gaps manually to jump exactly to that moment in the replay.

6
📊 Dive into details

Click drivers for speed and throttle graphs, check weather changes, track flags, and even predict pit stop positions.

✅ Relive every thrill

You perfectly recreate any F1 session from 2024 on, analyzing strategies and moments whenever you want.

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Star Growth

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AI-Generated Review

What is F1ReplayTiming?

F1ReplayTiming is a web app for replaying Formula 1 sessions from 2024 onward, pulling real-time track data, GPS car positions, and telemetry into interactive visualizations. Pick a race, quali, or practice, and get a live track map with cars updating every 0.5 seconds, leaderboards with gaps/tyres/pits, and telemetry charts for speed/throttle/brake. Built in TypeScript with Next.js frontend and Python FastAPI backend, it processes data via FastF1 and supports self-hosting with on-demand or bulk CLI precompute.

Why is it gaining traction?

It stands out with broadcast sync—upload a screenshot of the F1 TV timing tower for AI-powered matching—or manual gap entry to jump right in. Pit position predictions use circuit-specific loss times adjusted for Safety Car, plus weather/track status overlays and 0.5x-20x playback with lap skips. For data visualisation on GitHub, this delivers smooth real-time replays without F1 TV, hooked via WebSockets for low-latency telemetry and track viz.

Who should use this?

F1 fans self-hosting personal race analyzers, sports data devs prototyping telemetry dashboards, or TypeScript devs needing real-time WebSocket examples for synced visualizations. Ideal for replaying sessions to study overtakes, tyre strategies, or quali phases, with easy Docker deploys on Railway.

Verdict

Solid for niche F1 data visualisation—great docs and self-hosting make it dead simple to run locally, despite 47 stars and 1.0% credibility signaling early maturity. Try it if you dig real-time track telemetry; skip if you need battle-tested scale.

(198 words)

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