Marrakech
Most runners never see how they run.
StrideOptics started in a place where running is everywhere, but movement feedback still feels far away. I grew up in Marrakech around endurance sport, watching runners measure effort without seeing the machinery behind it.
My father ran the first Marrakech Marathon and kept returning to the start line every year.
Endurance
I tracked effort, not movement.
Running, cycling, mountain biking, and triathlon taught me effort. But they also showed me something strange: most athletes know their pace, heart rate, shoes, and mileage, yet almost nothing about how their body actually moves.
That missing layer matters. Small movement patterns can quietly become pain, injury, or performance limits.
The Build
So I started building the feedback I wanted.
My engineering school ranks students after two intensive years of mathematics and physics, and that rank determines your major. I landed in cybersecurity, not by choice but by assignment. The system offers no freedom to cross into other fields; there is no way to take a machine learning class alongside your assigned courses. I wanted to study both. I could not. So I went and learned it on my own.
I taught myself machine learning, then moved into computer vision and pose estimation. I collected running videos, trained models, corrected labels by hand, and started building the kind of feedback system I could never find as an athlete. What labs charge hundreds of dollars to measure, a camera and the right model can begin to reveal at scale.
Why It Matters