You probably seen the awesome-design-md repo floating around. It’s that GitHub repo with 33k+ stars that collected DESIGN.md files from companies like Vercel, Linear, Figma, Stripe, and 50+ others.
Most people treat it like a bookmark folder. But if you think like a builder, this repo is raw material for products. It’s a database of real design systems you can turn into profitable tools.
TL;DR: The awesome-design-md repo contains complete design systems in markdown. You can build APIs, search tools, UI cloners, newsletters, and more — without creating content from scratch.
Why This Repo Is Different
Each DESIGN.md file in this repo isn’t just a color list. It’s a complete system with:
- Color palettes with semantic names
- Full typography hierarchy
- Spacing rules
- Components with states
- Shadows and elevation
- Responsive breakpoints
All in markdown. All readable by LLMs. All ready to be processed by code.
And here’s the thing: these are design systems from companies that spent millions on design. You’re getting professional design work and making it structured and accessible.
8 Real Product Ideas
1. Design Tokens API
Problem: Developers want to use colors and fonts from famous companies in their projects, but they have to manually extract them from each website.
How to build:
- Parse the DESIGN.md files from the repo
- Expose REST or GraphQL endpoints
- Allow search by company, color, font
- Return ready-to-use JSON tokens
Stack: Next.js + Prisma + SQLite (or just JSON files if static)
Monetization:
- Free tier with request limits
- Paid plan ($9-19/month) for commercial use
- API key for companies integrating into workflows
Differential: No public API offers real brand design tokens in a structured format.
2. AI-Powered Design System Search
Problem: Designers and devs need to find design inspiration for specific projects, but there’s no easy way to search across multiple references.
How to build:
- Index all DESIGN.md files from the repo
- Create a search interface with filters (color, company type, style)
- Add semantic AI search to find by description (“something corporate and minimalist”)
Stack: Next.js + Supabase (for full-text search) + embeddings
Monetization:
- Freemium with limited searches
- Subscription for unlimited searches and saved searches
- AdSense for organic traffic
Differential: Semantic search for design systems doesn’t exist anywhere.
Problem: You like a design (like Linear’s interface) and want to create something similar in your project, but you don’t know which colors, fonts, and spacing to use.
How to build:
- Interface where you select a company from the repo
- System generates complete CSS, Tailwind config, or Figma tokens
- Add a “mix” option — combine elements from different systems
Stack: Next.js + CSS/Tailwind generation via templates
Monetization:
- Freemium for basic CSS export
- Paid ($5-15) for complete export (Figma tokens, CSS variables, dark/light themes)
Differential: No tool takes a real design system and generates ready-to-use code.
4. Weekly Design Newsletter
Problem: Designers and devs want to stay updated on design trends but don’t have time to research.
How to build:
- Each week, highlight 2-3 design systems from the repo
- Analyze design choices (why did they pick that color? what kind of typography hierarchy?)
- Create educational content about design principles based on real examples
Stack: Ghost, Substack, or just Mailchimp
Monetization:
- Ads in emails
- Patreon/subscription ($5-15/month)
- Sponsorships from design tools
Differential: Content based on real company data, not abstract theory.
5. Dataset for LLM Fine-tuning
Problem: Companies want to train AI models to understand design systems, but they don’t have structured data.
How to build:
- Transform DESIGN.md files into pairs (input: requirement description, output: corresponding design tokens)
- Create a dataset in the right format for fine-tuning
Monetization:
- Sell dataset on Kaggle, Hugging Face, or directly
- $50-500 per dataset depending on size
Differential: A unique dataset that doesn’t exist anywhere.
6. Browser Extension
Problem: You’re on a website and want to know what colors, fonts, and spacing are used.
How to build:
- Extension that detects the closest design system to the current site
- Offers option to export tokens to your project
Stack: TypeScript + Chrome Extension API
Monetization:
- Freemium
- Paid ($10) for unlimited exports
Differential: Uses the repo as a comparison base.
7. Landing Page Templates
Problem: Devs and makers want to create landing pages quickly with professional designs but don’t want to hire a designer.
How to build:
- Create landing page templates based on design systems from the repo
- Each template would be a complete page (hero, features, pricing, footer)
- Available as HTML/CSS or as templates for frameworks
Stack: Next.js, Astro, or just HTML/CSS
Monetization:
- Sell individual templates ($29-79)
- Subscription for access to all ($19/month)
- Gatsby, Hugo, other formats
Differential: Templates based on real company design systems (not “fake” designs from template farms).
8. Figma Plugin
Problem: Designers want to apply an existing design system to their Figma project.
How to build:
- Plugin that imports a DESIGN.md from the repo
- Automatically creates color styles, text styles, and components in Figma
Stack: Figma Plugin API + TypeScript
Monetization:
- Freemium
- Paid ($9-19) for complete import
Differential: Connects markdown design systems directly to Figma.
Which One to Pick
| Product | Difficulty | Time | Monetization |
|---|
| Tokens API | Low | 1-2 weeks | Subscription |
| AI Search | Medium | 2-4 weeks | Freemium + ads |
| Visual Clone | High | 4-6 weeks | Freemium |
| Newsletter | Low | 1 week | Sponsorships |
| Dataset | Low | 1-2 weeks | One-time sale |
| Extension | Medium | 2-3 weeks | Paid |
| Templates | Medium | 3-4 weeks | Sales |
| Figma Plugin | High | 4-6 weeks | Paid |
Execution Strategy
SEO
- Create educational content about design systems
- Tutorials on how to use each product
- Comparisons (e.g., “Linear vs Vercel: design comparison”)
- Contribute to the original repo with PRs
- Participate in VoltAgent Discord discussions
- Create content on LinkedIn/X about the process
Automation
- Use GitHub Actions to automatically update when the original repo gets new design systems
- Create a CI pipeline that validates new DESIGN.md files
Next Step
Pick an idea. Start small. The design tokens API is the fastest to validate — you can get something working in an afternoon with Next.js and JSON files.
The repo has 33k stars. If 0.1% are interested, that’s 33 potential customers. More than enough to validate a micro-SaaS.
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