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Uphill Athlete founder Steve House sits down with athlete dashboard lead Will Zittlau and Coach Alexa Hasman to introduce the newly launched Uphill Athlete Training Groups dashboard — a purpose-built tool designed to cut through data overload and give athletes a clear, intuitive read on their progress. The conversation walks through the four core training pillars tracked by the dashboard — consistency, training load, work/rest balance, and strength — each rooted in the foundational principles of Training for the New Alpinism and surfaced as simple stoplight scores that tell athletes at a glance whether they're on track.
The episode also dives into one of the dashboard's most anticipated features: automated aerobic threshold tracking. Rather than requiring periodic field tests, the system analyzes ongoing training data to surface a rolling AeT trend — making a metric that's long been central to the Uphill Athlete methodology accessible without extra effort. Steve shares the story behind "Maria," the AI intelligence layer being built into the platform, named in honor of alpinist Maria Frantar. The team closes with a look at what's ahead, including automated training zone suggestions, TSS adjustments for conditions like pack weight and snow, and an in-platform coaching assistant.
By Uphill Athlete4.8
175175 ratings
Uphill Athlete founder Steve House sits down with athlete dashboard lead Will Zittlau and Coach Alexa Hasman to introduce the newly launched Uphill Athlete Training Groups dashboard — a purpose-built tool designed to cut through data overload and give athletes a clear, intuitive read on their progress. The conversation walks through the four core training pillars tracked by the dashboard — consistency, training load, work/rest balance, and strength — each rooted in the foundational principles of Training for the New Alpinism and surfaced as simple stoplight scores that tell athletes at a glance whether they're on track.
The episode also dives into one of the dashboard's most anticipated features: automated aerobic threshold tracking. Rather than requiring periodic field tests, the system analyzes ongoing training data to surface a rolling AeT trend — making a metric that's long been central to the Uphill Athlete methodology accessible without extra effort. Steve shares the story behind "Maria," the AI intelligence layer being built into the platform, named in honor of alpinist Maria Frantar. The team closes with a look at what's ahead, including automated training zone suggestions, TSS adjustments for conditions like pack weight and snow, and an in-platform coaching assistant.

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