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PetsPositive is a social platform for pet lovers where users can create pet profiles, share photos and videos, connect with other pet owners, and engage with the community through real-time interactions in a secure environment.
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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Which Home Screen Feels Better? 👀
I'm exploring two directions for an Influencer Discovery Platform and would love your feedback.
Version A (Left)
Light and clean visual style
Minimal distractions
Focused on readability and accessibility
Creates a fresh and welcoming experience
Version B (Right)
Dark mode experience
More premium and immersive feel
Strong visual contrast
Emphasizes content and personality
'd love to know:
Which screen would you choose? (A or B)
What was the first thing that caught your attention?
Which version feels more trustworthy for discovering influencers?
Any usability or visual improvements you'd suggest?
Your feedback will help shape the next iteration of the product. Thanks for taking a look! 🚀
60 voted
64%
34 voted
36%
94 votes
Closed
A. feels cohesive
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.
Designed this hero section for @Raos Healthcare. ✨
The goal was to balance credibility + clarity + conversion while keeping the experience clean and easy to navigate.
👉Check it out here: https://raoshealthcare.com/
Drop a🧡if you like it.
The coral gradient and the doctor cut-out work well together for healthcare, trust signals without feeling clinical. How the product categories are floating around the hero adds context without cluttering the main message.
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