Three crashes. Same signal. Three different causes.
HRV detects the stress. Annotations explain it. The difference is in what you do next.
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What becomes visible when data and context live together.
Each case study uses real, anonymised user data to demonstrate one specific reading of the human body. These are the patterns that only become visible when biomarkers, notes, and daily context are compiled in one place.
The body keeps score of your life, not just your training.
431 nights of one person's sleep data. The biggest lever on deep sleep was not how hard they trained.
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The plan that knew who it was for.
A Hyrox block ends. A half marathon target takes shape. What happens when the AI already knows your constraints before you ask.
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More case studies in progress.
Future case studies will cover training load and resting heart rate, and how subjective check-ins predict objective biomarkers.