Manu running on a mountain trail

Behind MINDRAW

Run. Observe.
Understand.

The personal story and conviction behind MINDRAW.

Who am I?

I am a Senior Solutions Architect with a passion for technology, data and user experience. My work involves designing complex systems, connecting information from different sources and turning it into solutions that are useful and easy to understand.

Outside technology, I enjoy travelling, running in the mountains, spending time with my wife and friends, and playing the guitar.

Running holds a special place in my life. Over the years and kilometres, I have learned to appreciate the numbers: distance, pace, heart rate, elevation, training load and progression. But I have also learned that data never tells the whole story.

A training session cannot be reduced to a time or a pace. Sleep, fatigue, stress, recovery, personal perception and mental readiness also play an essential role.

MINDRAW sits at the intersection of these two worlds: my passion for technology and my personal experience of endurance running.

Why MINDRAW?

There are already countless running applications. They record activities with remarkable accuracy and make it easy to follow kilometres, personal records and progress.

Yet I could not find the perspective I was looking for.

Most tools explain what happened very well. They say far less about how the athlete experienced the session, why a performance felt harder than expected, or whether several signals suggest slowing down before pushing forward.

MINDRAW was born from that idea: connecting objective training data with more human signals — fatigue, sleep, recovery, stress, perception and mental readiness.

Not to replace the athlete’s sensations or the coach’s experience, but to give them more context.

Understand before you accelerate

I am developing MINDRAW as an independent project. Its purpose is to make complex information easier to understand, reveal patterns that are difficult to notice and encourage better conversations between athletes and coaches.

The project is not intended to impose a universal method. It aims to build a useful, understandable tool that respects the individuality of every athlete.

What guides the project

A more human approach to performance.

01

People before numbers

Data should support personal perception and experience, never make them disappear.

02

Understand before prescribing

An indicator only becomes useful when it is placed within the athlete’s real context.

03

Progress sustainably

Performance should remain compatible with health, consistency, motivation and enjoyment.

The conversation is open

Let’s build MINDRAW with the people who run.

Share your questions, ideas and feedback in the MINDRAW GitHub Discussions space. Every experience can help shape a more useful and human tool.

Join the discussion