AI-generated 3D-printable pegboard from hand-drawn sketch

✍️ OpenClawRadar📅 Published: March 31, 2026🔗 Source
AI-generated 3D-printable pegboard from hand-drawn sketch
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From sketch to 3D print in minutes

A developer created a 3D-printable pegboard toy by feeding a hand-drawn sketch into Codex with just two dimensional constraints. Instead of spending hours in Fusion 360, they got printable models in about a minute, then iterated on fit and feel through test prints.

Repository structure and contents

The GitHub repository contains parametric Python generators instead of hand-edited meshes, making modifications straightforward. Key components include:

  • Seven flat play pieces with 8.45mm holes in models/pieces/
  • Four smooth gears in models/gears/ that mesh on the 40mm peg grid
  • Two printable boards plus a tuned peg in models/boards/ and models/pieces/
  • Python scripts in scripts/ for generating shapes, gears, boards, and repository assets
  • AGENTS.md with instructions for coding agents to extend the set
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Tuned dimensions and specifications

The system uses these specific measurements after iteration:

  • Grid pitch: 40.0mm
  • Piece hole diameter: 8.45mm
  • Gear hole diameter: 8.45mm
  • Peg: 7.72mm diameter, 40.0mm long, 1.2mm end roundover
  • Printed board hole diameter: 8.30mm (still being validated)

How to regenerate and modify

The setup uses standard Python tooling:

python3 -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt
python scripts/generate_pegboard_shapes.py
python scripts/generate_pegboard_gears.py
python scripts/generate_pegboard_board.py
python scripts/generate_repository_assets.py

The AGENTS.md file provides instructions for coding agents to extend the set, including building larger pegboards (like 6x6), modifying peg lengths, adding new pieces for different peg combinations, scaling the system up or down, or generating tighter/looser fit-test variants.

📖 Read the full source: HN AI Agents

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