SuperCraft lets teams design physical products with natural language
Figma for designing physical products
SuperCraft lets teams design physical products with natural language
Hello Product Hunt! I am Sarang, founder of SuperCraft. A bit of backstory—before SuperCraft, I was working on a company called Zener, where we built defect detection systems for factories. I'm a computer vision engineer by trade, with zero experience in sketching, SolidWorks, or physical product design. My number one way to communicate concepts to our manufacturing engineers? -> Prompt kungfu + Stable Diffusion! At first, I was worried they’d laugh at the AI-generated sketches—but they didn’
Congratulations! Great PLG fit, prompt to render plus collaboration. Have few suggestions if you don't mind! Let me know what you think. Track generations/exports as the usage driver and add a gentle in-app meter with early alerts, so that retention and upsell will likely increase. A guided example project with presets that produce an export in under few minutes can convert more first-time runs. Consider a human touch when 1. multi-member workspaces appear 2. SSO/settings are explored (eg: they'
Brilliance and well approached product on this modern & tech savvy world.
Very cool Figma-style workflows for physical products could seriously speed up iteration. Curious how you handle parametric constraints, manufacturability checks, and handoff to CAD/CAM. We’re debuting today as well—keen to hear what you think.
This could help me quickly prototype product ideas without CAD skills. How does SuperCraft handle technical specs for manufacturing?
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.