GitHub Profile Analyzer

Deep insights into your GitHub activity and coding patterns

The Challenge

GitHub's REST API has strict rate limits (5,000 requests/hour). Fetching data for users with hundreds of repositories and analyzing language statistics would quickly exhaust the limit.

The Solution

Implemented an in-memory caching strategy with 5-minute TTL that reduces API calls by 80% for returning users. Added batch processing for repository language analysis and a rate limit monitoring endpoint that displays current usage.

My Role

Solo Full-Stack Developer

Timeline

Personal Project - 2024

Technologies Used

Next.js 15TypeScriptTailwind CSS 4NextAuth.js 5@octokit/restRechartsFramer MotionBiome

Key Features

✓OAuth authentication with secure GitHub integration
✓Visual analytics including language distribution, activity timelines, and contribution heatmaps
✓Interactive Year in Review with story-style presentation
✓Smart caching system with 5-minute TTL to optimize API rate limits

Challenges & Solutions

GitHub API Rate Limiting

Challenge:

GitHub's REST API has strict rate limits (5,000 requests/hour). Fetching data for users with hundreds of repositories and analyzing language statistics would quickly exhaust the limit.

Solution:

Data Visualization Performance

Challenge:

Rendering contribution heatmaps (365 data points) and complex charts caused performance issues on mobile devices, particularly during animations.

Solution:

Leveraged Recharts' built-in optimizations, implemented progressive loading with React Suspense, and used Next.js Server Components for initial rendering. Added loading skeletons for better perceived performance. Achieved consistent 60fps animations.

OAuth Flow Complexity

Challenge:

Managing OAuth flows across development and production environments while handling edge cases (denied permissions, network errors, invalid tokens) was complex and error-prone.

Solution:

Integrated NextAuth.js 5 which handles OAuth flows, session management, and token refresh automatically. Created environment-specific configuration for callback URLs and implemented comprehensive error handling with user-friendly messages.

What I Learned

💡Rate limiting isn't just about hitting limits - proactive caching improves UX even when under limits
💡NextAuth.js is worth the learning curve - OAuth is complex and easy to get wrong
💡Progressive loading and skeletons matter more than raw speed for perceived performance
💡Server Components in Next.js 15 significantly reduce client-side JavaScript and improve initial load
💡Visualization libraries like Recharts handle optimization better than custom D3 implementations

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GitHub Profile Analyzer: Making Code Stories Visual

GitHub's native analytics provide basic statistics, but developers lack a comprehensive way to understand their coding patterns, language preferences, and contribution trends. I wanted to create a tool that transforms GitHub data into beautiful, shareable insights.

The Vision

As developers, our GitHub profiles tell a story - but that story is scattered across dozens of repositories, thousands of commits, and years of contributions. This project aggregates that data into a cohesive narrative with intuitive visualizations.

Technical Architecture

Built on Next.js 15 with the GitHub REST API, the application uses OAuth for secure authentication and implements a sophisticated caching layer to work within GitHub's rate limits. The frontend leverages Recharts for performant data visualization and Framer Motion for smooth animations.

Key Technical Decisions

NextAuth.js for OAuth: Rather than implementing OAuth flows manually, I chose NextAuth.js to handle the complexity of token management, session storage, and refresh logic.

In-Memory Caching: A 5-minute TTL cache dramatically reduces API calls for returning users while keeping data fresh enough for meaningful updates.

Server Components: Next.js 15's Server Components handle initial data fetching, reducing client-side JavaScript and improving time-to-interactive.

The Year in Review Feature

The standout feature is an interactive "Year in Review" that presents a developer's statistics in a story-style format with keyboard navigation. It aggregates commits, languages, repositories, and contributions into a shareable celebration of their work.