v1.1.3

📈 Changes since v1.1.2

What's Changed:

• style: Remove emojis and bold formatting for professional release appearance

Features

Enterprise Security

• HMAC Authentication - Cryptographically signed requests
• Rate Limiting - IP-based protection (configurable)
• Data Validation - 15+ validation rules prevent abuse
• Anonymous Reporting - Zero personal data collected

Core Functionality

• Universal API - Works with Python, JavaScript, Go, and more
• Auto-Setup - Database tables created automatically
• Multi-app Support - Single API for all your applications
• Self-Healing - Recreates missing tables if needed

Analytics & Insights

• 100+ SQL Queries - Ready-to-use analytics
• Hardware Analysis - GPU, CPU, memory breakdowns
• Error Patterns - Find common crash causes
• Dashboard Ready - Works with Grafana, Metabase

Quick Start

# 1. Fork and clone this repository
git clone https://github.com/YOUR-USERNAME/crash-analytics-api.git
cd crash-analytics-api

# 2. Install dependencies
pnpm install

# 3. Set up Supabase + Cloudflare (see README.md)

# 4. Deploy
pnpm run deploy

# 5. Test your deployment
API_ENDPOINT="your-endpoint" HMAC_SECRET="your-secret" pnpm test

Documentation

• Setup Guide: See README.md for complete setup instructions
• Analytics Queries: Check database/example-queries.sql for 100+ example queries
• Python Client: Use clients/python/crash_reporter.py in your Python apps

Security

This release has been security audited:

• No secrets in version control
• HMAC request signing prevents abuse
• Rate limiting protects against DoS
• Input validation prevents injection attacks
• Anonymous data collection only

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Security: Report security issues privately

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