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SuperCraft
Figma for designing physical products
297 followers
Figma for designing physical products
297 followers
SuperCraft lets teams design physical products with natural language
Really cool concept—‘Figma for physical products’ is a bold tagline, and SuperCraft delivers a smooth experience for rough projects
Congrats on the launch, Sarang! I’m very excited to dive into this one. What a great solution!
SuperCraft bills itself as "Figma for physical products." It enables teams to design via natural language—an intriguing twist for product creation.
What To Build
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.
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're looking for an official rollout) 3. Users attempt PDM/PLM connections (integrating into core company workflows).
SuperCraft
@deelaka_alawathugoda these are great suggestions! ty
GPT-4o
Whoa, this is actually pretty awesom! Using natural language to design physical products? That's such a smart way to cut through all the traditional CAD hurdles, right? I'm kinda blown away by how it bypasses the need for sketching skills – truely a game changer for non-designers like me. Is there a free tier to test drive it before I jump in?
WhiteSpace
This could help me quickly prototype product ideas without CAD skills. How does SuperCraft handle technical specs for manufacturing?
SuperCraft
@william_jin We are currently only focusing on prototyping and ideation. For manufacturing you'll still need to rely on CAD softwares. Getting all the tolerances right using generative deep learning is a tough problem to solve that we plan to get to in the future.