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Everything-Verse 🌐

A comprehensive content aggregation system that collects and processes data from 200+ tech sources including news, blogs, developer resources, and social platforms. Built with Go and Fiber framework.

πŸš€ Features

πŸ“Š Massive Data Collection

  • 200+ Sources: Tech news, developer blogs, AI/ML, security, cloud platforms, and more
  • Real-time Processing: Concurrent data fetching and processing
  • Smart Deduplication: Prevents duplicate content storage
  • Multi-format Support: RSS feeds, JSON APIs, and custom processors

πŸ—οΈ Architecture

  • High Performance: Concurrent processing with semaphore limiting
  • Scalable Design: Easy to add new sources and processors
  • Database Optimization: SQLite with efficient indexing
  • RESTful API: Clean API endpoints for data access

πŸ“ˆ Source Categories

  • Social & Community: HackerNews, Reddit, Mastodon, ProductHunt
  • Development & Tech: StackExchange, Dev.to, GitHub Trending
  • Programming Languages: Go, Python, Rust, JavaScript, Java, C#, PHP, Ruby, Swift, Kotlin
  • Frontend & Web: React, Vue, Angular, CSS, JavaScript frameworks
  • Mobile Development: Android, iOS, React Native, Flutter
  • Game Development: Unity, Unreal Engine, Godot
  • AI & Machine Learning: OpenAI, Google AI, DeepMind, Microsoft AI
  • Security & Privacy: Schneier, Krebs, Security Weekly
  • Cloud & DevOps: AWS, Google Cloud, Azure, Docker, Kubernetes
  • Database & Data: MongoDB, PostgreSQL, Redis, Elasticsearch
  • Hardware & IoT: Arduino, Raspberry Pi, ESP32
  • Linux & Open Source: Linux Foundation, Red Hat, Ubuntu
  • Blockchain & Crypto: Ethereum, Bitcoin, CoinDesk
  • Tech Companies: Netflix, Uber, Airbnb, Spotify, GitHub, Stripe

πŸ› οΈ Technology Stack

  • Backend: Go 1.24.5
  • Web Framework: Fiber v2.52.9
  • Database: SQLite with GORM
  • HTTP Client: Custom optimized client with connection pooling
  • Concurrency: Goroutines with WaitGroups and semaphores
  • Data Processing: RSS parsing, JSON processing, HTML parsing

πŸ“¦ Installation

Prerequisites

  • Go 1.24.5 or higher
  • Git

Quick Start

  1. Clone the repository
git clone https://github.com/your-username/everything-verse.git
cd everything-verse
  1. Install dependencies
go mod download
  1. Run the application
go run main.go

The server will start on http://localhost:3000

πŸ”§ Configuration

Environment Variables

# Server Configuration
PORT=3000

# Database Configuration
DB_PATH=./database/data.db

# Concurrency Settings
MAX_CONCURRENT_FETCH=20
MAX_CONCURRENT_DB=10
MAX_ITEMS_TO_FETCH=100

Constants (in jobs/model.go)

const (
    maxLookbackDays      = 7
    maxItemsToFetch      = 100
    maxConcurrentDB      = 10
    maxConcurrentFetch   = 20
    httpTimeout          = 30 * time.Second
    dbTimeout            = 5 * time.Second
)

πŸ“‘ API Endpoints

Data Retrieval

# Get all data
GET /api/data

# Search data by keyword
GET /api/search?q=keyword

# Get data by source
GET /api/source/{source_name}

# Get recent data
GET /api/recent?limit=50

Health Check

GET /health

πŸ”„ Data Collection Process

Automatic Collection

  • Frequency: Daily at scheduled intervals
  • Workers: 20 concurrent workers
  • Processing: All 200+ sources processed in parallel
  • Storage: SQLite database with optimized queries

Manual Collection

# Trigger data collection manually
curl -X POST http://localhost:3000/api/collect

πŸ“ Project Structure

everything-verse/
β”œβ”€β”€ main.go                 # Application entry point
β”œβ”€β”€ go.mod                  # Go module dependencies
β”œβ”€β”€ jobs/                   # Data collection jobs
β”‚   β”œβ”€β”€ data.go            # Source definitions (200+ sources)
β”‚   β”œβ”€β”€ process.go         # Data processors
β”‚   β”œβ”€β”€ model.go           # Data models and constants
β”‚   β”œβ”€β”€ utils.go           # Utility functions
β”‚   β”œβ”€β”€ worker.go          # Worker implementation
β”‚   └── index.go           # Cron job scheduler
β”œβ”€β”€ database/              # Database layer
β”‚   β”œβ”€β”€ connect.go         # Database connection
β”‚   β”œβ”€β”€ data.go            # Data operations
β”‚   └── model.go           # Database models
β”œβ”€β”€ internal/              # Internal application logic
β”‚   β”œβ”€β”€ handler/           # HTTP handlers
β”‚   β”œβ”€β”€ middleware/        # HTTP middleware
β”‚   └── routes/            # API routes
└── database/              # SQLite database files
    └── data.db           # Main database file

πŸš€ Performance Features

Concurrent Processing

  • Parallel Source Processing: All 200+ sources processed simultaneously
  • Semaphore Limiting: Database operations limited to prevent overload
  • Connection Pooling: Optimized HTTP client with connection reuse
  • Read-Write Mutex: Efficient database locking strategy

Memory Optimization

  • Streaming Processing: Large responses processed in chunks
  • Garbage Collection: Efficient memory management
  • Connection Limits: Controlled concurrent connections

πŸ” Data Sources

Current Sources (200+)

  • Tech News: TechCrunch, The Verge, Wired, Ars Technica
  • Developer Blogs: Stack Overflow, Dev.to, GitHub Engineering
  • Programming Languages: Official blogs for Go, Python, Rust, Java, C#
  • AI/ML: OpenAI, Google AI, DeepMind, Microsoft AI
  • Security: Schneier, Krebs, Security Weekly
  • Cloud Platforms: AWS, Google Cloud, Azure, DigitalOcean
  • Mobile Development: Android, iOS, React Native, Flutter
  • Game Development: Unity, Unreal Engine, Godot
  • Blockchain: Ethereum, Bitcoin, CoinDesk
  • Hardware: Arduino, Raspberry Pi, ESP32

πŸ›‘οΈ Security Features

  • Rate Limiting: Prevents API abuse
  • CORS Configuration: Cross-origin resource sharing
  • Input Validation: Sanitized inputs
  • Error Handling: Graceful error responses
  • Logging: Comprehensive request logging

πŸ“Š Monitoring & Logging

Console Output

INFO: Starting data collection workers...
INFO: Worker 1 starting data collection
INFO: Fetching data from HackerNews...
INFO: New data added from HackerNews
INFO: Successfully added data from 45 sources

Performance Metrics

  • Processing Time: Real-time duration tracking
  • Success Rate: Source processing statistics
  • Error Tracking: Failed requests logging
  • Database Operations: Insert/update statistics

πŸ”§ Development

Adding New Sources

  1. Add source to jobs/data.go
  2. Implement processor in jobs/process.go (if needed)
  3. Test with go run main.go

Example Source Addition

{"New Source", "https://api.example.com/feed", processRSSFeed},

Running Tests

go test ./...

πŸ“ˆ Scaling Considerations

Horizontal Scaling

  • Load Balancing: Multiple instances behind a load balancer
  • Database Sharding: Distribute data across multiple databases
  • Caching: Redis for frequently accessed data

Vertical Scaling

  • Resource Limits: Adjust concurrent worker counts
  • Memory Optimization: Tune garbage collection
  • Database Optimization: Index optimization and query tuning

🀝 Contributing

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

πŸ“„ License

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

πŸ™ Acknowledgments

  • Fiber Framework: High-performance web framework
  • GORM: Database ORM for Go
  • SQLite: Lightweight database engine
  • All Data Sources: For providing valuable content

Everything-Verse - Aggregating the world's tech knowledge, one source at a time. 🌐✨

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