Konstantin Kazarichuk

This hits home. Our team has this thing where we share pushup videos every week to stay in shape while building our app. The form checking is probably the biggest win here - everyone thinks they're doing perfect pushups until someone calls them out 😅 Does the AI actually catch the common cheats like half reps or is it pretty forgiving?

Finally someone gets it! Most fitness apps treat workouts like spreadsheets instead of games. The AI matchmaking is clever - nothing kills motivation faster than competing against someone who runs 5-minute miles when you're still working on 8s. Anti-cheat system caught my eye too. Wonder how many people try to game the GPS tracking?

AI powered Strava for gym goers is a great positioning. Strava nailed the social aspect for runners but the gym always felt lonely in comparison. How does the AI personalization work? Curious if it's more like Freeletics coaching or something different.

Smart to focus on the planning piece. Most Apple Watch fitness apps assume you'll just hit "start workout" and figure it out as you go. The gear tracking is clever - reminds me of how Nike Run Club started simple but the data insights became the real hook. All 84 activities though? That's ambitious. Do people actually use the more obscure ones like "mind and body" or is it mostly running/cycling?

Global fitness community is a bold vision. Reminds me of Peloton's early pitch about bringing the studio experience home, but you're flipping it - bringing people together virtually. The collective energy angle makes sense. Working out alone vs with others is night and day. How do you handle time zones when connecting people globally?

Interesting approach to the data silo problem. Reminds me of how Strava started by just solving GPS tracking and then realized the real value was in connecting all the dots between different workouts. The hybrid athlete angle is smart - feels like there's definitely a gap between pure running apps and pure lifting apps. Most people do both but end up with like 3 different apps that don't talk to each other. How are you handling the integration complexity? I imagine getting clean data from all these different sources is a nightmare. Are you building your own APIs or working with existing ones?

Finally, someone made a pace calculator that doesn't make me feel like I need a math degree 😅 Honestly I usually just run until I'm tired and call it a day, but my running buddy is obsessed with splits and keeps asking "what pace are we at?" Like dude, I don't know, somewhere between "turtle" and "not dead yet" Does this handle the metric/imperial conversion chaos? Because I live in that weird zone where I think in miles but my watch speaks kilometers and it's confusing as hell.

This is actually pretty cool. I've been trying to track body changes from workouts but the mirror lies and the scale doesn't tell the whole story. 3D scanning from just a phone sounds almost too good to be true though - how accurate is it compared to like a DEXA scan? And does it work if you're not perfectly still? Also curious if it tracks changes over time or just gives you current measurements.

Creative use of AirPods motion sensors for jump tracking! Really smart to leverage hardware people already have. As someone building voice-first sports tech (AI golf caddie), I love seeing innovative approaches to sports tracking. The seamless "just connect and jump" experience is exactly what athletes want - no complicated setup. We're taking a similar approach with golf - just talk to your AI caddie naturally during play. Currently beta testing and finding that simplicity + real-time feedback is key. How did you solve the motion detection accuracy? Congrats on the launch! 🎉