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.
- 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
- 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
- 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
- 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
- Go 1.24.5 or higher
- Git
- Clone the repository
git clone https://github.com/your-username/everything-verse.git
cd everything-verse- Install dependencies
go mod download- Run the application
go run main.goThe server will start on http://localhost:3000
# 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=100const (
maxLookbackDays = 7
maxItemsToFetch = 100
maxConcurrentDB = 10
maxConcurrentFetch = 20
httpTimeout = 30 * time.Second
dbTimeout = 5 * time.Second
)# 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=50GET /health- Frequency: Daily at scheduled intervals
- Workers: 20 concurrent workers
- Processing: All 200+ sources processed in parallel
- Storage: SQLite database with optimized queries
# Trigger data collection manually
curl -X POST http://localhost:3000/api/collecteverything-verse/
βββ main.go # Application entry point
βββ go.mod # Go module dependencies
βββ jobs/ # Data collection jobs
β βββ data.go # Source definitions (200+ sources)
β βββ process.go # Data processors
β βββ model.go # Data models and constants
β βββ utils.go # Utility functions
β βββ worker.go # Worker implementation
β βββ index.go # Cron job scheduler
βββ database/ # Database layer
β βββ connect.go # Database connection
β βββ data.go # Data operations
β βββ model.go # Database models
βββ internal/ # Internal application logic
β βββ handler/ # HTTP handlers
β βββ middleware/ # HTTP middleware
β βββ routes/ # API routes
βββ database/ # SQLite database files
βββ data.db # Main database file
- 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
- Streaming Processing: Large responses processed in chunks
- Garbage Collection: Efficient memory management
- Connection Limits: Controlled concurrent connections
- 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
- Rate Limiting: Prevents API abuse
- CORS Configuration: Cross-origin resource sharing
- Input Validation: Sanitized inputs
- Error Handling: Graceful error responses
- Logging: Comprehensive request logging
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
- Processing Time: Real-time duration tracking
- Success Rate: Source processing statistics
- Error Tracking: Failed requests logging
- Database Operations: Insert/update statistics
- Add source to
jobs/data.go - Implement processor in
jobs/process.go(if needed) - Test with
go run main.go
{"New Source", "https://api.example.com/feed", processRSSFeed},go test ./...- Load Balancing: Multiple instances behind a load balancer
- Database Sharding: Distribute data across multiple databases
- Caching: Redis for frequently accessed data
- Resource Limits: Adjust concurrent worker counts
- Memory Optimization: Tune garbage collection
- Database Optimization: Index optimization and query tuning
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
- 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. πβ¨