Strava has rolled out a series of product updates, introducing revamped strength visualisations, enhanced mapping details, AI integration, and smartwatch support.
Introduced in users’ feeds in recent weeks, a key update for strength training includes a visual muscle map that highlights targeted muscle groups based on completed sets. The platform has also expanded its strength tracking integrations to include third-party apps Lyfta, Gravl, and Hybrd. And if the app is set to a language other than English, exercise search now supports handling of English exercise names. This means that search for ‘deadlift’, ‘bench press’, or ‘push-up’, for example, can be used to find the corresponding exercise in a user’s app language.
Mapping functionality has been updated with ranked trails, difficulty grading, readable cliff edges, and defined park borders. Mountain bike trails now feature colour-coded difficulty levels and direction-of-travel arrows, while landmarks such as trailheads, peaks, and viewpoints are highlighted across zoom levels.
Strava subscribers can connect their accounts to AI assistant Claude to query workout metrics, including exercise details, sets, weights, reps, and location data.
On iOS devices, new lock screen widgets provide direct access to the Home, Maps, or You tabs in the Strava app, while existing home screen widgets allow athletes to monitor weekly mileage and progress toward goals.
Additionally, Strava comes pre-installed on the Galaxy Watch9 and Galaxy Watch Ultra2, with a 60-day Strava subscription included for buyers.
Alongside the product features, the platform has opened applications for the third year of its Strava Metro for Academic Researchers Programme. Applications for the programme are open until 01:00 BST on October 24, 2026. The programme provides students and researchers with free access to de-identified Strava Metro data to support active transportation and pedestrian infrastructure research.
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