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Confetti

Start designing hardware with plain English prompts

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Hey HN! We're Tianyi and Lucas from Confetti (YC F26) (https://confetti.build/). We’re building a platform that helps you turn your ideas into physical things using plain English.Take a look at a quick demo video here: https://youtu.be/UhtAs4mg5O8Making hardware has always required layers of expertise: learning modeling software, sourcing compatible components, designing enclosures, wiring, firmware, and finding someone to manufacture it all.We experienced this firsthand while prototyping a home AI device we wanted to build. We didn't have too much experience in hardware and every step opened up more questions.We spent so much time figuring out the process before we could make progress on the thing itself, so we built Confetti to make it easier to get started.Confetti puts the whole process on one platform, driven by natural language:- CAD: generate and edit 3D designs from text or image prompts- Electronics: automatic sourcing for compatible off-the-shelf parts, wiring, and firmware- Manufacturing: get quotes and place orders to get parts sent straight to your doorstep- Community: share, remix, and personalize builds from other makers for yourselfIn the same way that AI has made it much easier for people to build software, we think that we can use AI to enable a lot more people to start building the ideas they have for physical projects too.We would love to hear feedback that you have, what sort of bugs and issues you run into, and features you'd like to see!https://confetti.build/

HN · launched Nov 3, 2026 · 5 upvotes (top 86%) · 0 views

Niche: ai computer-aided design software · 100 launches, 13 in the last 7 days ▲ +18% · Explore this niche →

Category and tags

  • Manufacturing
  • Hardware & robotics
  • B2B
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Partial The plain-English interface and LLM-driven CAD generation are vibe-codeable, but producing manufacturable hardware, correct electronics, and accurate parts sourcing needs deep mechanical and electrical engineering knowledge to validate outputs.

What it would actually take: Build an LLM agent that generates parametric CAD through code (CadQuery, OpenSCAD) and connects to parts-catalog APIs (Digi-Key, Mouser) for bill-of-materials, with a web-based 3D viewer. The hard parts are verifying that designs are physically and electrically correct, handling tolerances and fabrication constraints, and building validation and domain knowledge that vibe coding alone won't supply.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one : 159 launches clear the similarity bar, closest 8 shown.

Attention rank: #150 of 160 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 370 days after the earliest competitor.

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