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An end-to-end deep learning system that classifies infant cries into specific categories of need or discomfort using Facebook Wav2Vec2 and Hugging Face.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Have you tried this yet? 👀🌍
I built We Care — a living map of human feeling where you share how you feel and instantly see real people across the world feeling the exact same thing. 🤍
You're never as alone as you think.
💬 Connect & talk to people who get it
🤝 Wall of Hope — lift someone up today
🆘 Real crisis support when it matters
🎵 Calming music to ease your mind
Come share how YOU feel right now 👇
🔗 we-care-22703814.figma.site
Every feeling matters. You are not alone. 💙
#ConfigMakeathon #Figma
Really impressive work! So emotional! I hope this app will publish. Thanks for your good work and good idea!
Figma Make isn't just a prototyping tool. I used it to ship a Claude-powered design system generator.
Most designers treat Figma Make as a quick vibe-coding sketchpad. I wanted to show it's something deeper — a full vibe-coding platform that integrates with external APIs.
The connection nobody writes about
There are three ways Claude connects to Figma today. Figma MCP — Claude reads and writes Figma files via MCP server. Figma's built-in AI — Figma calls its own models internally. And mine — a React app inside Figma Make that calls Claude API directly from the browser. Claude responds to the code, not to Figma. Figma Make is the hosting.
The new pipeline
Old approach: get brandbook and references from client → generate moodboard → align → write prompts for UI Kit. Separate steps, human in the center every time.
My approach: collapse all of that into one step. Run an AI analysis and output structured data — input for machines, not a result for humans.
We don't ask AI how the brand looks. We run an MRI on it and get structured data that machines use to build code.
What gets generated
11 files, all consistent with each other because they share one analysis. For Figma specifically:
tokens.json — W3C DTCG 3-tier format (primitive → semantic → component), imports directly into Figma Variables via Tokens Studio or Figma Make prompt
design-system.css — all tokens as CSS custom properties, ready to import
starter.tsx — paste into Figma Make, full design system renders instantly
figma-make.md — session context, paste once and the AI knows the entire design system
Add a content plan on top — generate a full design in one run with minimal token spend.
The entire tool was built and shipped inside Figma Make. No external hosting. No separate codebase.
#ConfigMakeathon #FigmaMake #DesignSystem #VibeCoding #ClaudeAPI #BuildInPublic
tNot gonna lie, I opened this out of curiosity and left with more questions than answers 😅 But that's usually a good sign. Really interesting exploration of what design workflows might look like in the AI era. And by the way, this link doesn't work figma-make.md
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