Different jobs in the movement loop
Many active people already have excellent tracking tools. The unresolved question often appears the next morning: What should I actually do today? RiseMove is built around that decision.
Where RiseMove fits
RiseMove creates one Daily Movement Signal and uses Hank™ to explain the recommendation. The app supports walking, cycling, running, gym work, swimming, recovery, and restoration.
Where Strava fits
Strava is known for recording activities, performance history, routes, segments, and social interaction around sport. RiseMove treats activity data as context for the next movement decision rather than the core product experience.
Can the two work together?
RiseMove can use connected activity context where supported and authorized by the user. The intended position is complementary: activity data can help inform the next decision, while the user’s data remains subject to the applicable privacy and connected-service rules.
RiseMove vs. Strava
| Question | RiseMove | Strava |
|---|---|---|
| Primary job | Decide what kind of movement fits today | Track, analyze, and share completed activities |
| Core output | Move, Build, Train, Recover, or Restore | Activity records, metrics, routes, segments, and social context |
| AI guidance | Hank™ explains the Daily Signal and next-move context | Different product focus |
| Best fit | Daily movement decision clarity | Activity history, performance tracking, and sport community |
Frequently asked questions
Does RiseMove replace Strava?
No. RiseMove is positioned as a daily movement decision layer, not a replacement for Strava’s activity tracking and social platform.
Is RiseMove only for cyclists?
No. RiseMove supports walkers, cyclists, runners, gym users, swimmers, recovery-focused users, and people rebuilding consistency.
What is the main difference?
The simplest difference is: Strava helps show what you did; RiseMove helps you decide what kind of movement fits today.
Does RiseMove train AI models on Strava data?
RiseMove’s published product and data strategy is to use connected user data for user-specific insights, not to train AI models on Strava API data.