SpeedTrackr is an AI-powered performance platform for athletes and coaches. It offers sprint form analysis, smart training plans, season scheduling, and journaling, built to help you train smarter, avoid injuries, and hit peak performance.
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Maker
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Hey everyone!
I'm Dafin, an Indian athlete on a mission to represent 🇮🇳 at the Olympics one day. While training over the years, I realized that most performance tools are either too expensive, overly complicated, or simply not built for athletes like me, especially here in India where access to cutting-edge sports tech is still limited.
So I built SpeedTrackr, a clean, AI-powered platform where athletes, coaches, and clubs can track progress, create training plans, and get performance insights, all in one place.
Unlike many competitors, SpeedTrackr is lightweight, athlete-first, and currently free to try - no payment gateway, just one-click access to the AI feature (for now!).
My long-term goal is to integrate IoT sensors like timing gates, weightlifting analytics, and plyometric power trackers, so Indian athletes can access world-class tools — without needing world-class budgets.
Would love to hear your thoughts, support, and feedback! Let’s build something meaningful for the global athletic community. 💜
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AI meets athletic grind 🏃♂️🤖 Loving the focus on form, recovery, and peak performance all in one platform 💥📈
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An impactful solution built with the audience’s real needs in mind.
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Maker
@pradeep_u Totally, just building what I wish I had as an athlete. 🙌
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Great product that could be really helpful to its audience.
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I love the concept. How does its sprint form analysis stack up against the traditional motion capture tools?
Traditional motion capture tools (like Vicon or OptiTrack) are incredibly accurate — but they require:
Lab setups (costing ₹10–50 lakhs)
Reflective markers, multiple high-speed cameras
Long processing times
SpeedTrackr is different by design:
Just a smartphone video + AI = biomechanical insights in seconds
Uses MediaPipe + custom algorithms to extract joint angles, stride phases, lean, symmetry, etc.
Compares sprint phases to elite benchmarks (Bolt, Altis, Tellez)
Is it as precise as lab-grade mocap? Not yet but for 95% of athletes without access to labs, it’s the closest and most affordable way to improve sprint form.
Plus, we’re building low-cost timing sensors to pair with it so athletes can measure both how fast and how well they run.
Happy to chat more if you're building something similar too!
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I love how SpeedTrackr merges technology with sports science it's definitely something the athlete community has been craving. Does the AI adjust training plans in real time as performance data shifts?
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Maker
@reneegunter Appreciate that so much! That’s exactly what we set out to build, a bridge between real sports science and accessible tech.
To answer your question:
Yes — adaptive training is one of the core ideas behind SpeedTrackr.
Right now:
Athletes can log sprint times, fatigue levels, and effort per session
The AI recommends adjustments to volume/intensity weekly
It flags risks of overtraining and suggests rest or deloads based on pattern shifts
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Combining smart training with injury prevention is the way to go.
Does it adjust plans based on real time performance data?
Report
Maker
@justin_deacon Absolutely! SpeedTrackr adjusts plans based on your sprint form, fatigue inputs, and progress. All in real time. It’s built to optimize performance and reduce injury risk.
AI meets athletic grind 🏃♂️🤖 Loving the focus on form, recovery, and peak performance all in one platform 💥📈
An impactful solution built with the audience’s real needs in mind.
@pradeep_u Totally, just building what I wish I had as an athlete. 🙌
Great product that could be really helpful to its audience.
I love the concept. How does its sprint form analysis stack up against the traditional motion capture tools?
@nathaniel_cook2 Thanks so much! 🙌 Great question.
Traditional motion capture tools (like Vicon or OptiTrack) are incredibly accurate — but they require:
Lab setups (costing ₹10–50 lakhs)
Reflective markers, multiple high-speed cameras
Long processing times
SpeedTrackr is different by design:
Just a smartphone video + AI = biomechanical insights in seconds
Uses MediaPipe + custom algorithms to extract joint angles, stride phases, lean, symmetry, etc.
Compares sprint phases to elite benchmarks (Bolt, Altis, Tellez)
Is it as precise as lab-grade mocap? Not yet but for 95% of athletes without access to labs, it’s the closest and most affordable way to improve sprint form.
Plus, we’re building low-cost timing sensors to pair with it so athletes can measure both how fast and how well they run.
Happy to chat more if you're building something similar too!
I love how SpeedTrackr merges technology with sports science it's definitely something the athlete community has been craving. Does the AI adjust training plans in real time as performance data shifts?
@reneegunter Appreciate that so much! That’s exactly what we set out to build, a bridge between real sports science and accessible tech.
To answer your question:
Yes — adaptive training is one of the core ideas behind SpeedTrackr.
Right now:
Athletes can log sprint times, fatigue levels, and effort per session
The AI recommends adjustments to volume/intensity weekly
It flags risks of overtraining and suggests rest or deloads based on pattern shifts
Combining smart training with injury prevention is the way to go.
Does it adjust plans based on real time performance data?
@justin_deacon Absolutely! SpeedTrackr adjusts plans based on your sprint form, fatigue inputs, and progress. All in real time. It’s built to optimize performance and reduce injury risk.