Strava utilizes artificial intelligence to detect and remove dishonest leaderboard participants; introduces new features including a ‘family’ plan, dark mode, and more

Strava, the popular social fitness app, has announced a series of new features and updates aimed at enhancing user experience and combating cheating on the platform. At its annual Camp Strava event, the San Francisco-based company revealed plans to leverage artificial intelligence (AI) to detect and remove questionable activities uploaded by users.

One of the main issues faced by the Strava community is cheating to achieve top positions on leaderboards. To address this, Strava has implemented manual flagging mechanisms and updated algorithms to ensure the credibility of leaderboards. Now, with the introduction of advanced machine learning, Strava aims to automatically detect and remove suspicious activities, a feature that has been highly requested by users.

Additionally, Strava unveiled a new “athlete intelligence” feature for premium subscribers, which uses generative AI to analyze user data and provide performance summaries and guidance. The company is also introducing a dark mode, a highly requested feature by users, and a “family plan” that offers subscription discounts for up to four users.

Furthermore, Strava is expanding its appeal to different demographics with the introduction of “night heatmaps,” focusing on activities between sundown and sunrise to encourage more women to use the platform. The company is also launching a “quick edit” feature to allow users to conceal certain metrics from their workout stats.

These updates come at a pivotal time for Strava, with recent changes in leadership and a focus on enhancing the platform’s value proposition. By incorporating AI, machine learning, and new features, Strava aims to solidify its position as a leading social fitness app and cater to a diverse user base.