Developer & endurance performance analyst.
I translate sports science into concrete tools and analyses — for athletes, coaches, and endurance brands.
Based in Grenoble, embedded in the trail running scene.
Trail and ultra-trail runner.
→ tblt.fr
The intersection of software engineering and endurance performance science — a space that's underbuilt and underserved, especially in French.
My approach: read the peer-reviewed literature, implement it, publish the code, explain the method. No black boxes, no expert posturing.
Three principles that are non-negotiable:
- Scientific rigour — every claim is sourced, peer-reviewed papers cited
- Radical transparency — code, methods and data are public by default
- Concrete utility — every analysis should inform a decision, not just look good
OpenAthlete — open source endurance training platform
AI-powered training platform for endurance athletes. Built as an alternative to TrainingPeaks / Nolio — open source, freemium, transparent algorithms. ~100 active testers. TypeScript end-to-end.
TypeScript Next.js open source endurance AI
tblt.fr — technical articles & analyses
Performance science articles for the endurance world. Grounded in research, reproductible in code.
Topics I cover:
- Physiological modelling
- Running economy & biomechanics
- Race analysis
- Open source tools
MDX Next.js Chart.js D3 TypeScript
I work with endurance brands, coaching teams, and sports media — translating data and science into usable outputs.
Not a coach. Not a researcher. A developer who reads the literature, tests the protocols, and builds the tools.