A lightweight web analytics solution with three main components: a tracking script, collection backend, and analytics dashboard.

├── frame/      # Frontend dashboard (Next.js)
├── ink/        # Tracking script (JavaScript)
├── paper/      # Collection backend (Go)
└── studio/     # Dashboard backend (Go)

You can view the system design here.

• Next.js web application that visualizes analytics data
• Features:
  • Site management dashboard
  • Simple analytics data visualization with charts and metrics
• Checkout the github repository here

• Lightweight JavaScript snippet that website owners add to their sites
• Collects basic analytics data:
  • Page views
  • User agent info
  • Referrer data
• Makes HTTP requests to Paper backend to store events
• Checkout the github repository here
• Configuration via window.clutterConfig:

window.clutterConfig = {
  siteId: "your-site-id"
}

• Go service that accepts analytics events from Ink
• Features:
  • CORS support for cross-origin requests
  • Request validation
  • ClickHouse database for event storage
• API Endpoints:
  • POST /api/event - Records analytics events
• Checkout the github repository here

• Go service that powers the Frame frontend
• Features:
  • User authentication with JWT
  • Site management (CRUD operations)
  • Analytics data access from ClickHouse
• Key APIs:
  • /auth - User registration/login
  • /sites - Site management
  • /sites/{id}/analytics - Analytics data retrieval
• Checkout the github repository here

• PostgreSQL - User and site data (Studio)
• ClickHouse - Analytics events data (Paper)
• Redis - Stores data that needs to be quickly communicated between Studio and Paper.

Requirements:

• Go 1.24+
• Node.js
• PostgreSQL
• ClickHouse
• Redis

Environment variables:

# Studio
DATABASE_URL=postgres://user:pass@localhost:5432/db
CLICKHOUSE_URL=clickhouse://default:@localhost:9000/clutter
PORT=8081
JWT_SECRET=secret

# Paper
DATABASE_URL=clickhouse://default:@localhost:9000/clutter
REDIS_URL=redis://user:pass@localhost:6379
POSTGRES_URL=postgres://user:pass@localhost:5432/db
PORT=8080

This is a basic analytics implementation with core features like:

• Site tracking via JavaScript snippet
• Event collection API
• User authentication
• Site management
• Basic analytics viewing

This project is still under progress.