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I build Rust backend tools for one specific task. You get a compiled application that's small and keeps core logic separate from how it delivers results. This is great, for private servers and automated pipelines. I do not use architecture. I provide solutions only.
The network for creativity
Join 1.25M professional creatives like you
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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Today I discovered Contra... and honestly, I'm surprised I wasn't here earlier.
I've been freelancing for 8 years as a Backend Developer, building web applications, APIs, CRMs, and business systems. Over the last 2 years, my focus has shifted heavily toward AI Automation and n8n, where I build AI agents, automated workflows, lead generation systems, and custom business automations.
While exploring new opportunities and connecting AI with real business problems, I somehow missed this amazing community of independent creators and freelancers.
Better late than never.
I'm excited to share my work here, collaborate with ambitious clients, and help businesses automate repetitive tasks, save time, and scale with AI.
If you're looking for someone who can build AI Agents, n8n workflows, API integrations, or end-to-end business automations — let's connect 🚀
#SmartHome #WebDesign #AIAutomation #UXDesign #BusinessAutomation #ProductDesign
Welcome, im new as well
Title:
I built a design system generator inside Figma Make. Here's the workflow.
The problem I kept running into: every new client project meant re-explaining the brand to every AI tool from scratch. Figma Make didn't know the colors. Cursor didn't know the tokens. Claude didn't know the rules. I was the shared memory — and I kept losing things.
So I built Design System Gen. Entirely inside Figma Make. Powered by Claude API.
The workflow:
Upload brand references → Claude API analyzes them across 8 dimensions (palette, mood, typography, composition, lighting, texture, motion, UI DNA) → structured data, not vibes → generates 11 files, each formatted for a specific tool in your stack.
figma-make.md → paste once, Figma Make knows your entire design system
design-system.css → all tokens as CSS custom properties
tokens.json → W3C format, imports directly into Figma Variables
starter.tsx → React starter with tokens already bound
.cursorrules → Cursor knows your system from root
Claude.md → Claude reads it automatically every session
+ 5 more for docs, LLMs, prompts, components
Every tool gets its own context file. All consistent with each other.
The part I'm most proud of: I'm a designer. I don't write code. The entire tool — UI, API integration, file generation logic — was built and shipped inside Figma Make. No external hosting. No separate codebase.
Live at: vibecodingdsgen.figma.site
Add your Claude API key and try it with your own moodboard.
#FigmaMake #DesignSystem #VibeCoding #AI #Claude #UXUI #DesignSystems #ConfigMakeathon
As someone who constantly jumps between Figma, Claude, ChatGPT, Cursor, Lovable, and other AI tools, this problem feels very familiar 😅
The tools are getting smarter, but keeping context consistent is still surprisingly manual. Love seeing people tackle that gap.
One thing I’m learning with node workflows like Flora and Weavy is that each step needs to be specialized. Then you layer in the specifics.
A lot of what I’m building right now is for branded imagery. With image models, you get plenty of unwanted artifacts, strange details, and gooey limbs, so it can take a few passes to get the final image where you want it.
I’ve always admired art directors for their eye for detail. These tools force you to put that hat on.
The thing I wish these tools had is a better way to draw, mark up, and revise as you move through the workflow.
In any case, I’m really proud of the images that are coming to life.
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