VueMotion
AI movement analysis for athlete performance
VueMotion launched on May 11, 2026 with 67 votes, #631 of 20,538 launches that month and more than 95% of that year's launches.
What it does
VueMotion is an AI Movement Intelligence platform that turns everyday smartphone video into validated biomechanical insights. With just a phone, tripod and cones, coaches and clinicians can assess movement quality, monitor performance, guide rehab, and reduce injury risk at scale.
Optimize athletic performance with VueMotion's AI-driven movement analysis. Accessible, affordable, and trusted by pro teams worldwide. Start testing today!
Elevate athletic performance with the world’s most comprehensive, AI-driven movement analysis tool. Elevate athletic performance with the world’s most comprehensive, AI-driven movement analysis tool. VueMotion’s advanced patent-pending, scientifically validated algorithms redefines the landscape of movement analysis by harnessing the power of advanced computer vision algorithms. Our cutting-edge testing platform is conveniently accessible from a smart device or webpage, empowering coaches, athletes, medical staff, and trainers to optimize movement and improve injury outcomes anywhere, anytime. VueMotion utilizes advanced AI and computer vision to provide detailed, objective analysis of…from vuemotion.com
Does a similar job
all alternatives →



Vitesse Running: AI tracking2020 · vitesserunning.com · ▲70Take running to the next level with custom interval workouts

More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com