As an athlete determined to break sub-10.5 seconds in the 100 m and a self-taught developer, I’ve always been fascinated by how artificial intelligence could accelerate human performance. Driven by necessity and curiosity, I built SpeedTrackr—an AI-powered sprint analysis and tracking platform—in just 100 focused hours. Here’s the full story, the challenges, the breakthroughs, and lessons learned along the way.
Why Sprint Analysis Needs AI
Traditional sprint analysis is slow, subjective, and often inaccessible. Coaches rely on manual video review or expensive hardware, making it tough for casual athletes to get actionable feedback. The lack of affordable, automated solutions became my motivation:
What if anyone could upload a sprint video and get instant, data-driven form analysis and training guidance?
SpeedTrackr’s core feature—AI Sprint Form Analysis—uses kinogram video analysis to deliver precise feedback in seconds. To support athletes at every level, I also launched a Free Tools section—no login or payment required—for sprint calculators, weekly planners, and strength percentage calculators.
Planning and Initial Roadmap
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Core Goals:
- Real-time sprint performance tracker
- Kinogram (frame-by-frame overlay) generation
- Automated training plan suggestions
- Web + mobile access
- Constraints: 100 development hours, minimal budget, solo effort
- Tech Stack: React/Next.js (frontend), Python AI modules (backend), Vercel (hosting), credit-based pricing for AI-powered coaching software
The 100-Hour Build Breakdown
Phase 1: Foundations (0–20 hours)
- Mapped user flow: upload sprint video → AI processing → instant feedback
- Designed wireframes in Figma; prioritized clarity and speed
- Initialized code repos, authentication, and serverless functions
Phase 2: AI Sprint Analysis (21–50 hours)
- Integrated pose-estimation (MediaPipe) for joint tracking
- Developed algorithms to measure stride length, ground contact, hip angle, and cadence
- Generated kinograms—video overlays showing key form checkpoints
- Built a scoring system for sprint efficiency
Phase 3: Productizing the Experience (51–80 hours)
- Crafted a dashboard: upload area, analysis report, kinogram viewer, and stats panels
- Added AI Sprint Form Analysis prompts (e.g., “Drive knees higher,” “Increase arm swing”)
- Implemented a credit system—free credits + purchasable credit packs
- Ensured responsive design for all devices
Phase 4: Testing, Feedback, and Launch (81–100 hours)
- Ran closed alpha tests with friends, coaches, and fellow athletes
- Squashed stability bugs and refined scoring for varied video quality
- Added onboarding tutorials and detailed error messages
- Published documentation, privacy policy, and launched publicly
What Makes SpeedTrackr Unique
- Instant Feedback: Analysis and kinograms in seconds
- Actionable Advice: AI-generated drills based on your form
- Affordable: One-time credit packs (Single Credit, Value Pack, Premium Pack) instead of subscriptions
- Accessible: Designed for beginners and elite athletes alike
Technical Lessons Learned
- Robust AI Models Are Essential: Real-world footage introduces noise—shadows, glare, varied camera angles—so extensive data filtering was needed.
- User-Focused UI/UX: Athletes want clear takeaways, not raw data. Clean design and concise insights are critical.
- Laser Focus on Core Flows: With limited time and resources, prioritize the features that deliver immediate user value.
Results and Next Steps
SpeedTrackr is now live at www.speedtrackr.com, helping sprinters optimize their form and training. Early feedback is driving rapid improvements—and while traffic and revenue are still ramping up, the platform already proves that solo-built AI sports tech can reach real users.
Next up:
- Expand kinogram support to other sports
- Improve AI accuracy with more training data
- Foster a community for user-generated insights and challenges
Anchor Text Keywords for Backlinks
Below are the anchor texts you can use when linking to SpeedTrackr from other sites:
- Branded: SpeedTrackr, SpeedTrackr platform
- Partial Match: SpeedTrackr AI tool, AI-powered sprint analysis
- Exact-Match Keyword: Sprint performance tracker, Athlete performance optimization
- Feature-Focused: Kinogram video analysis, AI Sprint Form Analysis
- Naked URL: www.speedtrackr.com
- Generic: the platform
Final Thoughts
Building SpeedTrackr in 100 hours taught me that combining domain expertise with AI yields powerful solutions. If you’re exploring AI projects—especially in niche fields—start small, iterate fast, and focus on user impact.
Try SpeedTrackr today: https://www.speedtrackr.com
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