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MyStack - AI Resources Scraping Platform

Build Status License: MIT Code Quality

The world's largest AI resource database and marketplace. Automatically scrape, process, and structure AI-related content from across the internet, creating a comprehensive repository of prompts, tutorials, research papers, videos, and more.

🎯 Project Overview

MyStack is a scalable, AI-driven data scraping and processing platform that builds the ultimate marketplace for AI prompts and workflows. The system automatically discovers, processes, and structures AI content using advanced scraping techniques and AI analysis.

πŸš€ Key Features

  • πŸ” Intelligent Scraping: Distributed scraping system using Scrapy, Playwright, and Selenium
  • πŸ€– AI Processing: Advanced content analysis using OpenAI and Anthropic Claude APIs
  • πŸ“Š Quality Scoring: AI-powered quality assessment and ranking system
  • πŸ”Ž Advanced Search: Elasticsearch-powered search with faceted filtering
  • πŸ“± Modern UI: React-based frontend with Tailwind CSS and glassmorphism design
  • ⚑ Real-time Updates: Live content updates and notifications
  • πŸ’° Marketplace: Buy and sell AI prompts and workflows

πŸ—οΈ Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   Web Scrapers β”‚    β”‚  Content Queue  β”‚    β”‚  Data Pipeline  β”‚
β”‚   (Distributed) │───▢│   (RabbitMQ)    │───▢│  (Processing)   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚                       β”‚                       β”‚
         β–Ό                       β–Ό                       β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  Source URLs   β”‚    β”‚  Rate Limiting  β”‚    β”‚  AI Processing  β”‚
β”‚  (Redis Cache) β”‚    β”‚   (Middleware)   β”‚    β”‚   (LLM APIs)    β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚                       β”‚                       β”‚
         β–Ό                       β–Ό                       β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  Data Storage  β”‚    β”‚  Search Index   β”‚    β”‚  API Gateway    β”‚
β”‚  (PostgreSQL)  β”‚    β”‚   (Elasticsearch)β”‚    β”‚   (FastAPI)     β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ› οΈ Technology Stack

Frontend

  • React 18 with Vite for fast development
  • Tailwind CSS for modern styling
  • TypeScript for type safety (planned)

Backend (Planned)

  • Python 3.11+ with FastAPI
  • PostgreSQL 15+ with TimescaleDB extension
  • Elasticsearch 8.x for search
  • RabbitMQ with Celery for queuing
  • Redis 7.x for caching

Infrastructure

  • Docker & Kubernetes for containerization
  • AWS/GCP for cloud deployment
  • GitHub Actions for CI/CD
  • Terraform for Infrastructure as Code

πŸš€ Quick Start

Prerequisites

  • Node.js 18+ and npm
  • Git

Installation

  1. Clone the repository

    git clone https://github.com/Samosborne94/mystack-community.git
    cd mystack-community
  2. Install dependencies

    npm install
  3. Start development server

    npm run dev
  4. Open your browser Navigate to http://localhost:5173

πŸ“ Project Structure

mystack-community/
β”œβ”€β”€ .github/                # GitHub workflows and templates
β”‚   β”œβ”€β”€ workflows/          # CI/CD workflows
β”‚   └── ISSUE_TEMPLATE/     # Issue templates
β”œβ”€β”€ src/                    # Frontend source code
β”‚   β”œβ”€β”€ components/         # React components
β”‚   β”‚   β”œβ”€β”€ ui/            # Reusable UI components
β”‚   β”‚   └── ...
β”‚   β”œβ”€β”€ pages/             # Page components
β”‚   β”œβ”€β”€ types/             # TypeScript type definitions
β”‚   β”œβ”€β”€ data/              # Mock data and constants
β”‚   └── ...
β”œβ”€β”€ docs/                  # Documentation
β”œβ”€β”€ tests/                 # Test files
β”œβ”€β”€ scripts/               # Build and deployment scripts
└── README.md

πŸ”„ Development Workflow

We follow Conventional Commits and a feature-branching workflow:

Branch Naming

  • feature/description - New features
  • fix/description - Bug fixes
  • docs/description - Documentation updates
  • chore/description - Maintenance tasks

Commit Messages

feat: implement user authentication endpoint
fix: resolve database connection leak in celery worker
docs: update README with setup instructions
chore: upgrade FastAPI to version 0.110.0
refactor: simplify data processing logic

Pull Request Process

  1. Create feature branch from main
  2. Make changes and commit with conventional commits
  3. Push branch and create Pull Request
  4. Wait for code review and CI checks
  5. Merge after approval

πŸ§ͺ Testing

# Run tests
npm test

# Run tests with coverage
npm run test:coverage

# Run linting
npm run lint

# Type checking (when TypeScript is added)
npm run type-check

πŸ“Š Project Phases

Phase 0: Project Setup βœ…

  • GitHub repository setup
  • Initial project structure
  • CI/CD pipeline configuration

Phase 1: Infrastructure Setup (2 weeks)

  • Kubernetes cluster setup
  • Database deployment (PostgreSQL, Redis, Elasticsearch)
  • Monitoring stack (Prometheus, Grafana)

Phase 2: Core Components (4 weeks)

  • FastAPI backend development
  • Database schema and models
  • Basic API endpoints

Phase 3: Scraping Engine (3 weeks)

  • Distributed Scrapy implementation
  • Playwright/Selenium integration
  • Rate limiting and politeness policies

Phase 4: AI Processing Pipeline (4 weeks)

  • Data processing pipeline
  • LLM API integration
  • Content quality scoring

Phase 5: Search & Indexing (2 weeks)

  • Elasticsearch integration
  • Advanced search features
  • Performance optimization

Phase 6: Scaling & Optimization (3 weeks)

  • Horizontal scaling implementation
  • Load testing and optimization
  • Auto-scaling policies

Phase 7: Security & Compliance (2 weeks)

  • Security audit
  • GDPR compliance
  • Data encryption

Phase 8: Documentation & Training (2 weeks)

  • API documentation
  • User guides
  • Training materials

🀝 Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'feat: add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Please read CONTRIBUTING.md for details on our code of conduct and development process.

πŸ“œ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ‘₯ Team

πŸ“ž Contact

πŸ™ Acknowledgments

  • OpenAI for GPT API access
  • Anthropic for Claude API access
  • The open-source community for amazing tools

Built with ❀️ by the MyStack Team

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