Help us build the future of sim racing

Evolve Your Lap Times

AI-powered telemetry analysis for iRacing. Compare laps, identify braking zones, and get actionable insights to shave seconds off your times.

Help Shape LapEvo See Features

Community-driven project in active development

Built with Rust & Python · Built by racers, for racers

Everything you need to go faster

Detailed telemetry analysis tools for serious sim racers who want to understand their performance and find time on track.

Telemetry Analysis

Deep dive into throttle, brake, and steering inputs frame by frame. See exactly where you're losing time and why.

Lap Comparison

Compare your laps side-by-side to find where you're losing time. Overlay your best lap against any other lap.

Corner Analysis

Identify braking points and apex speeds for every corner. Understand the optimal racing line for your setup.

AI-Powered Insights

Coming Soon

AI coaching is on our roadmap. Currently, detailed metrics help you identify where you're losing time.

Session History

Track your progress over time. See how your lap times improve across sessions and identify trends.

Track Visualization

In Development

Track maps with corner segments and braking zones. Racing line visualization coming soon.

How LapEvo compares

See how LapEvo compares to Trophi.ai, a commercial AI coaching platform. LapEvo is community-driven and free to self-host—some features are still in development.

Feature
LapEvo
Trophi.ai
Source-available
Planned
Free to use
Self-hosted
7-day trial
Self-hostable
iRacing support
Post-session analysis
Braking zone analysis
Corner-by-corner metrics
Real-time voice coaching
Roadmap
Expert lap comparison
Roadmap
Own your data
Your server
Their cloud

Help guide development and get notified when LapEvo launches

Help Shape LapEvo

For the technically curious

Built for performance

Telemetry Client

Rust

Sub-millisecond frame processing with zero-copy adapters

Server

Python + FastAPI

Async API with SQLAlchemy for rapid iteration

Database

TimescaleDB

Time-series optimized for telemetry data patterns

Dashboard

React 19 + TanStack Query

Modern UI with real-time data fetching

Rust handles performance-critical telemetry capture while Python enables rapid iteration on analysis algorithms. The hybrid approach gives us the best of both worlds.

Help Shape LapEvo

Share your ideas and get notified at launch - email is optional for feedback only.

Learn about our approach to data and pricing →

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