Strava is sharpening up options it first introduced last year, rolling out smarter AI-based route strategies whereas doubling down on its effort to wash up dishonest on leaderboards.
These updates, which will likely be unique to paid-up Strava subscribers, embrace a refreshed routing engine and stricter enforcement of its machine-learning-powered exercise filtering.
The brand new routing instruments construct on current Athlete Intelligence (Strava’s AI) implementation and its World Heatmap tech, now providing extra intuitive, community-backed strategies for runners, cyclists, and walkers.
Customers can generate routes from their present location or a customized start line, offering extra flexibility and integration with ‘factors of curiosity’ (POIs).
POIs—like cafés, restrooms, or viewpoints—will develop into tappable in June, displaying distance, elevation, and ETA, together with community-submitted photographs. Then, in July, Strava will roll out point-to-point routing that delivers probably the most environment friendly route from A to B, personalized for the exercise sort.
Dwell Segments are additionally increasing, with subscribers getting access to twice as many globally fashionable segments and extra real-time efficiency screens.
However the larger story may be what’s occurring behind the scenes: Strava says its machine studying mannequin has already eliminated 4.45 million illegitimate actions, together with rides logged in autos or with mislabeled sport varieties.
The system continues to reprocess the highest 10 leaderboard entries on run and trip segments to forestall fraudulent KOMs and QOMs, resembling these carried out by e-bikes as an alternative of precise street bikes.
Regardless of the comparatively lofty $11.99/month price, there’s little doubt subscribers are getting pretty constant new options and upgrades to the platform in Strava’s new era—together with fewer causes to doubt the leaderboard.
