Imagine you wake up and your mobile device has a strive.ai notification suggesting you should hit 3 of your starred segments that afternoon because it’s predicted you have a 90% probability of achieving a Strava PR based on loads of
Wahoo Elemnt
I’ve been considering getting one of these ever since a guy in my Sea Otter XC race walked me though his while we waited to start. He loved the fact that it’s configuration is all done in the mobile app
Run Power and Best Efforts
Today we introduced improved support for runners in strive.ai we eluded to here. We’ve made the following changes: Removed the Run Pace threshold type Introduced Pace Best Efforts for 400, 800, 1600, 5K and 10K distances (aged over 8 weeks
Support for Runners
Admittedly, we’ve started out with a focus on cycling with power. We attempted to mix in run pace thresholds using the same time duration concept [1, 5, 20, 60] as we do for heart rate and power. We learned
Threshold Feature Analysis
Last week we introduced our first performance centric feature in the app called Power Factors. It analyzes the peak thresholds over the last 8 weeks to identify what variables are having the most positive and negative impact on your results. We
Running Power with Stryd
Welcome to the first of many posts on sensors we advocate for getting the most out of strive.ai! Power has long been the primary training tool for cyclists. The ability to baseline your power and measure intensity against that baseline
Vision
Just a quick note to briefly explain the vision we have at strive.ai. In short, I believe there is tremendous potential sitting in the data applications like Strava, Training Peaks and Garmin possess. Living in the Bay Area and working in
Initial Beta
Our first post on strive.ai! We’ve been focused on the engineering and data science of this application for the past 6 months and I’m excited to see it launched to a broader beta to test the features and infrastructure at a