In addition, Strava is turning to AI to make performance data easier to parse, particularly for new users. An upcoming feature called "athlete intelligence" will use generative AI to analyze user data and provide summaries and guidance on performance and fitness goals. However, Martin clarified that Strava is not looking to become an advertising product, and believes that a subscription model is the right approach for the company.
Key takeaways:
- Strava, the social fitness app, is focusing on two main areas for product development: inclusivity, particularly for women, and the use of AI and machine learning.
- Strava's new CEO, Michael Martin, has plans to use AI to weed out leaderboard cheats and to create a feature called "athlete intelligence" that will analyze user data and provide performance insights.
- Strava is also working on features to make the app more inclusive, such as "night heatmaps" that highlight popular routes during nighttime hours and a "quick edit" feature that allows users to hide certain data points from their stats.
- Despite speculation about potential monetization strategies, Martin confirmed that Strava will not become an advertising product and will continue to focus on its subscription model.