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Stance Cricket

#MASTERYOURSTANCE

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Stance turns your batting, bowling and run-up footage into pro-grade AI cricket biomechanics analysis — shot-by-shot metrics and personalised coaching insights. Ball speed, line and length are calibrated from the stumps, so no radar gun is needed, and elbow extension is measured through release. A web app with nothing to install, built in India by CitroSpace.

PH · launched Nov 6, 2026 · 1 upvote (top 65%) · 0 views

Niche: ai coaching apps · 253 launches, 23 in the last 7 days ▼ -18% · Explore this niche →

Category and tags

  • B2C
  • Not AI
  • Analytics
  • Sports
  • Artificial Intelligence

Visit website ↗ Source listing ↗

Could you build this?

Partial Pose-estimation libraries make the basic UI and video upload easy, but calibrated ball speed and line-and-length from stump footage plus accurate elbow-extension biomechanics need computer-vision expertise and validation data.

What it would actually take: Use an open pose model (e.g., MediaPipe, ViTPose) for joint tracking, then add camera calibration against stump geometry and ball tracking via a detector and tracker (e.g., YOLO plus Kalman filtering) to estimate speed and trajectory. Accuracy must be validated against radar or motion-capture ground truth. The hard parts are the calibration and tracking pipeline and the sports-science validation, which need CV engineers and a biomechanics or coaching domain expert.

Competitors

Other products that read as similar to this one : 58 launches clear the similarity bar, closest 8 shown.

Attention rank: #17 of 59 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 217 days after the earliest competitor.

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