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freethrow-open-data

Independently generated, video-derived estimates of free-throw biomechanics and shot-entry characteristics from the 2026 NBA Playoffs. Not affiliated with the NBA.

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GITHUB · launched Nov 10, 2026 · 13 upvotes (top 96%) · 0 views

Niche: sports betting and analytics platforms · 111 launches, 18 in the last 7 days ▲ +38% · Explore this niche →

Category and tags

  • Media & entertainment
  • Data infrastructure
  • B2B
  • AI feature
  • Hobby / open-source project

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Could you build this?

Partial A static site or dataset viewer is easy to build, but generating biomechanics estimates from playoff video requires pose estimation, object tracking, and calibration, which demand computer-vision expertise. Accuracy validation also needs domain knowledge.

What it would actually take: A pipeline would use off-the-shelf pose estimation (such as MediaPipe or OpenPose), player and ball tracking, and court-coordinate calibration on legally accessible footage. The hard parts are reliable keypoint extraction on broadcast angles, handling occlusion, and converting pixels to physically meaningful joint angles and release metrics. That requires computer-vision and sports-biomechanics expertise plus a method for validating estimates against ground truth.

Competitors

Other products that read as similar to this one : 88 launches clear the similarity bar, closest 8 shown.

Attention rank: #88 of 89 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 265 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.