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Built an autonomous Notion AI agent for independent artists šµ
The problem: every time a song goes live, artists need to register it with ASCAP/BMI to collect royalties. That requires ISRC, UPC, and release metadata scattered across platforms. Some artists are overwhelmed by this tedious process.
My agent assists artists in this process:
ā Triggers when Distribution Status = "Live"
ā Searches Spotify + confirms the right track
ā Fetches ISRC, UPC, duration, release date, streaming link
ā Writes everything to the tracker
ā Generates a pre-formatted PRO registration export Built with Notion Workers (TypeScript), Spotify Web API, and Notion AI Custom Agents.
From "song is live" to "ready to register" in under 2 minutes!
#notioncustomagentbuildathon @Notion @Contra
ā¢ Apr 3
So nice work...love it
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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 ā and I kept losing things.
So I built Design System Gen. Entirely inside Figma Make. Powered by Claude API.
The workflow:
Upload brand references ā Claude API analyzes them across 8 dimensions (palette, mood, typography, composition, lighting, texture, motion, UI DNA) ā structured data, not vibes ā generates 11 files, each formatted for a specific tool in your stack.
figma-make.md ā paste once, Figma Make knows your entire design system
design-system.css ā all tokens as CSS custom properties
tokens.json ā W3C format, imports directly into Figma Variables
starter.tsx ā React starter with tokens already bound
.cursorrules ā Cursor knows your system from root
Claude.md ā 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 ā UI, API integration, file generation logic ā was built and shipped inside Figma Make. No external hosting. No separate codebase.
Live at:Ā 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 š
The tools are getting smarter, but keeping context consistent is still surprisingly manual. Love seeing people tackle that gap.
Still can't believe this is fully native.
With the Framer 3.0 update I rebuilt this viral landing page using Opus 4.8. The result is insane.
Edit every layer on the canvas or just ask Claude
Check it live https://lumio.framer.media/
How would you compare this to a website built using only claude code and pulling from something from say, the Figma MCP?
Fluxo | Personal Finance Dashboard šµ
Finance apps are one of the hardest UX challenges in product design.
It's working with stress, numbers, and decisions people actively avoid making. The design has to build trust ā creating an app where users feel comfortable enough to hand over their most sensitive numbers.
What I look for in a well-designed money dashboard:
Clarity over completeness ā show the 3 numbers that matter, not all 47 Visual hierarchy that guides ā your eye should land on the most important data first Emotional tone ā dark, clean, premium = I trust this with my money Micro-context ā not just ā¬5,210 spent, but -3% vs May tells a story
This Fluxo concept gets a lot right. Cash flow visualization, spending donut, saving goal progress ā all scannable in under 5 seconds.
Yes, it's just a concept. But it's built on real interaction logic between a user and a product.
What types of financial products have you worked with? š°
#FinTech #UXDesign #ProductDesign #UIInspiration #DashboardDesign
Great breakdown. "Clarity over completeness" is the golden rule for dashboards. The high-level metric cards and subtle data comparisons make the interface feel alive and actionable, rather than just a wall of numbers. Looks incredibly clean!
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