Orbis Lab

100% de avaliações 5 estrelas. ⭐️⭐️⭐️⭐️⭐️

Quem procura um ajuste superficial vai a qualquer lado. Quem procura biomecânica de precisão vem aqui. Obrigado pelo reconhecimento, malta!

Queres mudar a tua experiência em cima da bicicleta? Envia-me uma mensagem privada.

🍄 while the world gets saturated with mushrooms, sorry, we meant to say...with self-entitled biomechanists ...we keep on publishing, studying, working, asking questions, designing studies, and delivering the highest services, dedication and precision.

The "Mushrooms mush🍄: Pop up overnight, thrive in the dark, and usually rely on a "secret sauce" or a proprietary algorithm that they can't actually explain.
Someone buys a 3D motion capture suit or a pressure-mapping saddle cover on Monday, and by Friday, they have "Specialist" in their LinkedIn bio. They haven't put in the 10,000 hours; they just bought the 10,000-dollar kit.

🍄 prioritize the aesthetic of science (lab coats, flashy graphs, complex terminology) over the application of science (actually making a rider faster/more comfortable over 200km).

But here is a trick, mushrooms hate data they didn't "manufacture" themselves. For a "Mushroom" (the self-entitled biomechanist/guru), data isn't a tool for discovery; it’s a marketing asset. When you introduce external, rigorous, or peer-reviewed data into their ecosystem...they crumble. This is because they stop controlling the narrative.

Ultimately, Mushrooms are limited by their own bias. Because they only look at data they've manufactured, they are effectively looking into a mirror. They aren't seeing the rider's needs; they are seeing their own theories reflected back.

Be careful of bike fitters 🍄 🍄 🍄 🍄 🍄 🍄

Standard saddle fitting usually relies on a simple measurement of External Ischial Tuberosity Width (EITW). But the human pelvis is dynamic, not a static block.

I’m using K-Means Clustering (k=2) to move beyond "outer-edge" measurements. By calculating the mathematical geometric centroid (center of mass) of these pressure spikes, we can identify the true center of load distribution.

This provides a much more robust "ground truth" (106 mm in this case) to compare against my radiographic data. It’s the first step in proving why static "sit-bone" pads often fail to predict comfort in aggressive riding positions.

0 mm. That’s the margin of error on our latest pre-buy project. 🎯
​Most riders spend months micro-adjusting their new rig. This rider spent $0 on 'correction' parts because we did the math before he hit 'purchase.' By reverse-engineering the geometry from his functional data, we achieved a faultless fit on day one.
​Design the ride. Buy the bike. Chase the finish line.

Most complete seat service around.
2 more seats, in 3D print. Our investment is your comfort.

Available to test at out Lab.

This is what we do in a single "bike fit" TT appointment