PETWORKING 🐱 - a pixel art gamified networking platform where your cat does the networking for you.
The problem: remote work is lonely. Connecting with people from the industry is cold. There's no organic way to meet people.
The solution: a cat daycare where your cat represents you. Drop your cat off, and while they wander around, AI finds you 3 daily connections based on your skills, tools, and goals, and writes you a warm intro message to send them.
What I built:
- Live pixel art canvas with animated cats and real time interactions
-AI vision analysis that matches your real cat photo to a pixel art sprite by different attributes, as well as a full customization engine
- AI-powered daily matching that reads both user profiles and generates personalized connection reasons and intro messages
- Full backend with Supabase
How I built it - entirely in Figma:
- Figma Make: built the entire frontend and guided me through every Supabase integration step by step
- Figma Weave: generated all background assets and pixel art cat sprites from prompts and reference images
- Figma Agent: scanned my mock design file, generated a complete design system, exported directly into Make
AI can generate a dashboard. But can it give a product its own identity?
The first design was created by my client using AI a familiar dashboard style you've probably seen across countless AI-generated products.
I redesigned it to feel less generic and more intentional, with a distinctive visual identity, clearer hierarchy, and an experience built around meaningful celebrations.
The goal wasn't just to make it look better. It was to make it feel like its own product.
What do you think is missing from most AI-generated interfaces?
This is how a social system should work: strong enough rules that the brand reads at thumbnail size, loose enough that the feed never looks copy-pasted. Do you hand clients a Figma kit for this, or build it in something their team edits themselves?