MATLAB AI Blog Dashboard

A dashboard to track views for blog posts from the MATLAB AI Blog by Yann Debray since September 1, 2025.

Features

• 📊 Real-time view tracking - Daily updates via GitHub Actions
• 📈 Trend visualization - See how views grow over time
• 🏷️ Category analysis - Understand which topics perform best
• 📱 Responsive design - Works on desktop and mobile
• 🎨 MathWorks branding - Uses official brand colors

Posts Tracked

Post	Date	Categories
Antigravity + MATLAB is wicked good	Dec 24, 2025	Agentic AI
Winning a Predictive Maintenance Data Challenge	Dec 16, 2025	AI Application, Conference
MATLAB MCP Core Server Update	Dec 11, 2025	Agentic AI, Generative AI
MATLAB MCP Client on GitHub	Dec 10, 2025	Agentic AI, Generative AI
MATLAB MCP Core Server & Hardware	Nov 18, 2025	Agentic AI, Generative AI
MATLAB MCP servers for quant agent	Nov 10, 2025	Agentic AI
Releasing MATLAB MCP Core Server	Nov 3, 2025	Agentic AI, Generative AI
MATLAB on GitHub Codespaces	Oct 15, 2025	Cloud AI
pip & uv in MATLAB Online	Sep 17, 2025	MATLAB Online, PyTorch
MATLAB on Google Colab	Sep 4, 2025	MATLAB with Python, TensorFlow

Setup

Prerequisites

• Python 3.10+
• Node.js 18+ (for dashboard)
• GitHub repository

Installation

# Clone the repository
git clone https://github.com/your-username/matlab-blog-dashboard.git
cd matlab-blog-dashboard

# Install Node.js dependencies (for dashboard)
npm install

# Run development server
npm run dev

Note: The Python scraper uses only standard library modules - no pip install required.

Blog Post Scraper

The fetch_blog_posts.py script automatically discovers and scrapes all posts by Yann Debray from the MATLAB AI Blog. Posts are dynamically discovered via RSS feeds - no need to manually add new posts.

Usage

python fetch_blog_posts.py

Options

Flag	Description
--dry-run	Preview results without writing to file
--use-cache	Use cached RSS data if available

How It Works

1. Fetches RSS feeds from the MATLAB AI Blog
2. Filters posts by author (Yann Debray) and date (>= September 1, 2025)
3. Extracts metadata: title, date, URL, categories
4. Fetches view counts from each individual blog post page
5. Merges with existing posts.json to preserve view history
6. Outputs updated posts.json

Network Requirements

The MathWorks blog uses Akamai CDN with bot protection that may block automated requests from some networks.

Environment	Status
GitHub Actions	Works reliably
MathWorks VPN	Works
Home network	May be blocked (403)

When blocked locally, the script gracefully falls back to using existing data from posts.json.

GitHub Actions Setup

1. Go to repository Settings → Secrets and variables → Actions
2. Add required secrets for your analytics source
3. The workflow runs daily at 6:00 AM UTC
4. Manually trigger via Actions tab → "Update Blog Dashboard" → "Run workflow"

Deployment

The dashboard auto-deploys to GitHub Pages on each update.

Enable GitHub Pages:

1. Go to repository Settings → Pages
2. Set Source to "GitHub Actions"

Project Structure

matlab-blog-dashboard/
├── .github/
│   └── workflows/
│       └── deploy.yml              # Build & deploy to GitHub Pages
├── src/
│   ├── BlogDashboard.jsx           # React dashboard component
│   ├── main.jsx                    # React entry point
│   └── index.css                   # Tailwind CSS styles
├── fetch_blog_posts.py             # Python scraper (RSS + view counts)
├── posts.json                      # Blog posts and view data
├── index.html                      # Vite HTML entry point
├── vite.config.js                  # Vite configuration
├── tailwind.config.js              # Tailwind CSS configuration
├── postcss.config.js               # PostCSS configuration
├── package.json                    # Node.js dependencies
└── README.md

Customization

Adding New Posts

New posts are automatically discovered when you run fetch_blog_posts.py. The script scrapes RSS feeds and finds all posts by Yann Debray published after September 1, 2025.

To change the author or start date, edit the configuration in fetch_blog_posts.py:

AUTHOR_NAME = "Yann Debray"
START_DATE = datetime(2025, 9, 1)  # September 1st, 2025

Styling

Colors are defined in the COLORS object in the dashboard component. The default uses MathWorks brand colors:

const COLORS = {
  primary: '#0076A8',      // MathWorks Blue
  secondary: '#E87722',    // MathWorks Orange
  // ...
};

License

MIT License - Feel free to adapt for your own blog analytics!

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Built with ❤️ for the MATLAB AI Blog