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StrokeLab
AI swim coach that analyzes your stroke from a photo
Upload a photo or video of your swimming stroke and get instant AI coaching feedback. StrokeLab uses pose detection to analyze your body alignment, arm entry angle, head position, and more — then gives you a score breakdown with personalized tips to improve. Works from a single photo. No underwater cameras, no wearables. Free to try — 3 analyses per month, no signup required.
Hi everyone! 👋
I'm a swimmer and developer who got frustrated with not being able to see my own stroke form. After months of experimenting with pose detection and AI, StrokeLab was born.
The tech stack is pretty fun:
• MediaPipe for real-time body pose detection
• LLM-powered coaching that translates joint angles into actionable swim tips
• Next.js + Vercel for a smooth web experience
The biggest challenge was getting the AI to understand swimming biomechanics — not just "your elbow is at 45°" but "your catch is too shallow, try entering your hand further forward."
We're offering free access (3 analyses/month) to the PH community. Would love to hear:
• What features would you add?
• Any swim strokes you'd like us to support?
Thanks for checking it out! 🏊♂️
About StrokeLab on Product Hunt
“AI swim coach that analyzes your stroke from a photo”
StrokeLab was submitted on Product Hunt and earned 5 upvotes and 9 comments, placing #106 on the daily leaderboard. Upload a photo or video of your swimming stroke and get instant AI coaching feedback. StrokeLab uses pose detection to analyze your body alignment, arm entry angle, head position, and more — then gives you a score breakdown with personalized tips to improve. Works from a single photo. No underwater cameras, no wearables. Free to try — 3 analyses per month, no signup required.
On the analytics side, StrokeLab competes within Health & Fitness, Sports and Artificial Intelligence — topics that collectively have 568k followers on Product Hunt. The dashboard above tracks how StrokeLab performed against the three products that launched closest to it on the same day.
Who hunted StrokeLab?
StrokeLab was hunted by Norris Chen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of StrokeLab including community comment highlights and product details, visit the product overview.
Norris Chen