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Hello Billiard

Photo the table, get your carom shot with a success rate

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Hello Billiard is a carom billiards coach. Take a photo of the table, it finds the balls, runs a physics simulation and shows you shot paths with a success rate tuned to your skill level. Five-and-a-half, Plus and Ball system numbers are drawn right on the rails. Works in the browser, offline, and your photos never leave the device.

PH · launched Oct 20, 2026 · 1 upvote (top 67%) · 0 views

Category and tags
  • Media & entertainment
  • Agent / copilot
  • B2C
  • AI-native
  • Commercial product
  • Android
  • iOS
  • Sports

Visit website ↗ Source listing ↗

Could you build this?

Partial The UI, physics simulation, and rendering of shot paths are vibe-codeable, but reliable ball detection from photos and a well-calibrated skill-based success rate need computer vision tuning and real shot data.

What it would actually take: The app needs a computer vision pipeline (e.g., a detector trained or fine-tuned on carom table photos, with perspective correction for the table) and a 2D rigid-body/collision physics engine for carom cushion and ball impacts. The success-rate model requires collected shot outcomes from players of different skill levels to calibrate, which is the hard, data-dependent part. Offline browser operation implies compact models such as TF.js or ONNX in WASM.

Competitors

Other products that read as similar to this one : 54 launches clear the similarity bar, closest 8 shown.

Attention rank: #32 of 55 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 126 days after the earliest competitor.

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