What a Road Bike Corner Can Tell You
What a Road Bike Corner Can Tell You Cornering on a road bike often feels instinctive. At the same time, it is a clearly defined physical st…
DetailsStarte mit einem Event – oder importiere deine eigene Strecke und lass TrackIQ daraus einen Pacing-Plan bauen.
Course overview, map preview, concise summary, and direct access to the simulation for IRONMAN Hawaii in Kona — including course character, wind profile, and pacing focus.
Open eventCourse overview, map preview, concise summary, and direct access to the simulation for IRONMAN Frankfurt — including Langener Waldsee, a rolling bike course, and a fast marathon along the Main River.
Open eventFour building blocks for your road cycling and triathlon training. Start with your route or GPX ride data and optimize pacing, aerodynamics, and performance — for maximum speed and the perfect race.
Learn how triathlon bike pacing works, what role FTP and IF play, and why the right strategy changes with course type.
View the Triathlon Bike Pacing GuideYou can save simulations, combine variants, and compare results. That’s how you build your best strategy — transparent and data-driven instead of based on feel.
You convert watts ↔ speed and see the impact of CdA, Crr, weight, and gradient. You can save these values — after registration they’re applied directly to your simulation.
What a Road Bike Corner Can Tell You Cornering on a road bike often feels instinctive. At the same time, it is a clearly defined physical st…
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Why Time Gain, Aero Power, and Aero Energy Behave Differently for Slower and Faster Riders In discussions about aerodynamics, the same confu…
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TrackIQ Proof: Two IRONMAN® courses, identical assumptions — clear time gains TrackIQ computes a physicsbased pacing strategy along a course…
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From TrackIQ pacing to your device: turning strategy into a workout you can actually ride A pacing strategy is only truly useful if you can …
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Why watts alone aren’t enough (and why cr & cdA matter in your Rider) Many sources report losses as watts — for example, “Rolling Loss: 18 W…
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The 4 key levers in the model: mass, CdA, Cᵣ, power When you work with a simple cycling physics model (e.g. in a GPX analysis), the same fou…
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„From simulation engineering in industry straight to your handlebars: My goal is to make high-end engineering accessible to every triathlete. No more guesswork – let physics work for you.“
Founder & Engineer | Developed by a mechanical engineer (TU Wien / Chalmers)
You don’t just see your target time — you also see where you’re losing time, where watts actually matter, and how to distribute your power along the course.
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