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About the application:

strive.ai brings advanced analytics to the Strava ecosystem. Our analytics are focused on enhancing the Strava experience and helping athletes create sense of their fitness data. Examples of Strava Experience contain stack ranking your Segment Leaderboards by watts/kg instead of speed and identifying athletes in your geography that have related cycling or running strength. Example of understanding your fitness data contain notifying you when you've had a peak threshold achievement (e.g. best bicycle power over 5 mins) over the past 8 weeks and charts that depict what variables you collect (e.g. altitude) impact your thresholds. We calculate data related to what Training Peaks does and correlate them with all of the data you collect via whatever fitness devices you use (e.g. Running Dynamics, Muscle Oxygen, Bicycle Power, Run Power, etc). We integrate with Garmin Connect and Strava and have a agreement with Training Peaks to leverage their fitness variables (e.g. TSS, IF, NP, etc)