Runathon AI
AI Coach That Builds and Adapts Your Running Plan
55 followers
AI Coach That Builds and Adapts Your Running Plan
55 followers
Smart training plans, real-time guidance, and personalised insights to help you reach your running goals faster and safer than ever before.
Free Options
Launch Team / Built With
Atlassian LoomHit record, hand off to AI
Promoted
Wow, Runathon AI looks amazing! The real-time guidance is super cool. How does it adapt to unexpected things like a sudden injury or illness?
Hey Kǔrşat,
Congrats on the launch!
I like the simplicity throughout the app, for example in the workout prescriptions and how you show progress ("5 of 24 workouts completed"). A lot of competitors miss the mark on this by making things too complex, especially for the typical "couch to 5k runner". I feel like you could stretch the simplicity also to the AI Run Report by making it a bit easier to digest.
With which platforms do you integrate to pull activity data, or is this only recorded in the app? Do you also push workouts to for example Garmin or Apple watches? And do you allow "shuffling" the workouts when users don't like what is planned?
Finally, although I like the styling, the orange theme feels a bit too close to Strava's (especially since you'll be competing with them/Runna).
@aartgoossens Hey Aart, thank you for your comment! Since the app is currently available only on the App Store (Google Play is coming soon), users can connect their Apple Watch. They can import runs directly from the watch or use the app’s built-in running feature. Afterwards, they can still merge data to include heart rate, cadence, and elevation gain from their watch. I’ll also be integrating Garmin in the next update.
The system already allows users to delete a training plan and generate a new one if they don’t like the plan or if their goal changes. In upcoming updates, I’ll be adding training plan customisation and even better, the ability to talk with the AI to adjust only the parts you’re not satisfied with.
I agree with you about the styling, but it was intentional. Since competing with Strava is already challenging and people are very loyal to existing brands, I wanted Runathon AI to give users a similar if not better overall vibe.
Great idea and congrats with your launch! I noticed you can add a profile image on the profile screen. Is there any social component to app or plans to do anyhting like that? It's already great, just curious :)
@skitobyteHi Adam, thanks for the comment! You actually got the spoiler 🙂 There will be community features in the next updates.
This is such a smart use of AI for fitness. Real time coaching, adaptive plans, and weekly insights all in one place make the running journey feel much easier. The design looks polished and friendly too. Congrats on the launch and wishing you great traction.
@ngocphuc_1910 Hi Phuc, thank you for your kind wishes!
Does this compete with Strava? Or is it a complementary product?
@busmark_w_nika Hi Nika,
Strava is amazing for tracking and social features, no doubt about that.
But yes, my long-term goal is to compete with Strava in a specific way.
Where Strava focuses mainly on recording your run, I’m building a platform that focuses on improving your running.
Runathon AI generates a training plan based on your goal and then updates all upcoming workouts automatically based on your actual performance. It’s built to feel more like having a real coach, not just a logbook.
So while people can absolutely use both together today, the vision is to become a full coaching + tracking alternative for runners who want something more adaptive and personalised than traditional tracking apps.
That’s the direction I’m building toward.
@kursat_keskin1 And how can you promote this? (I can work only with Instagram or somehow infiltrate to run clubs or connect with people already using Strava) :D
Love the idea! How personalized does the plan get — does it consider pace trends, heart rate, terrain, or only distance/time?
@lliloulane Hi Lilou! The initial training plan is generated based on the user’s age, gender, weight, goal, and fitness level (beginner, returning, intermediate, or advanced). But it’s not limited to that. After each run, users can generate an AI run report to analyse their performance compared to the planned training and their actual run data, including metrics such as heart rate, pace trends, distance etc. Based on this analysis, the AI updates upcoming training sessions, or leaves them unchanged if no adjustment is needed