A premium lens into any developer's public GitHub footprint.
Search a username to visualize their code, languages, and core projects.
Developer Analytics is a highly-aesthetic React / Next.js application that turns any GitHub username into a rich visual profile. It features a custom glassmorphism design system, live autocomplete search powered by the GitHub API, interactive language charts, and buttery-smooth Framer Motion animations — all wrapped in a fully responsive layout that looks great on every device.
| Capability | Description |
|---|---|
| Language Breakdown | Instantly view a doughnut chart of the primary languages used across a developer's recent repositories. |
| Repository Explorer | Browse the user's most active public projects with star counts, fork counts, and language badges. |
| Developer Metrics | See follower / following counts, total public repos, join date, location, and bio at a glance. |
| Live Autocomplete | Start typing a username and get debounced suggestions with avatars from the GitHub Search API. |
- Live Search Autocomplete — Queries the GitHub Search API as you type (debounced at 1.5 s) and previews developer avatars and names in a floating dropdown.
- Glassmorphism UI — Built entirely with Tailwind CSS:
backdrop-blur, mesh-gradient backgrounds, and soft layered shadows. - Motion & Fluidity — Framer Motion powers smooth layout entrances, staggered micro-animations, and spring-based interactions.
- Language Charting — Aggregates language data from recent repositories and renders an interactive doughnut chart via Chart.js.
- Bento-Grid Layout — Developer stats, bio, and repositories are arranged in a modern, digestible bento layout.
- Responsive Design — Fully optimized for desktop, tablet, and mobile viewports.
- Accessibility — Respects
prefers-reduced-motionand uses semantic HTML with proper alt-text. - Easter Egg — A hidden "HR Chaos Panel" with a toy blaster and fake database overrides for fun.
| Layer | Technology |
|---|---|
| Framework | Next.js 16 (App Router) + React 19 |
| Language | TypeScript 5 |
| Styling | Tailwind CSS 4 (native utilities + custom theme tokens) |
| Animation | Framer Motion 12 |
| Data Visualization | Chart.js + react-chartjs-2 |
| Icons | Lucide React |
| Data Source | GitHub REST API (unauthenticated) |
| Deployment | Vercel |
# 1. Clone
git clone https://github.com/VEINNIV/github-dashboard.git
# 2. Install
cd github-dashboard
npm install
# 3. Run
npm run devOpen http://localhost:3000 to see the app.
| Command | Description |
|---|---|
npm run dev |
Start the development server |
npm run build |
Create a production build |
npm run start |
Serve the production build |
npm run lint |
Run ESLint |
github-dashboard/
├── app/
│ ├── globals.css # Tailwind theme + glassmorphism utilities
│ ├── layout.tsx # Root layout with SEO metadata
│ └── page.tsx # Home page (client component)
├── components/
│ ├── SearchBar.tsx # Debounced search with autocomplete dropdown
│ ├── ProfileCard.tsx # User avatar, stats, bio, join date
│ ├── RepoCard.tsx # Individual repository card
│ ├── LanguageChart.tsx # Doughnut chart for language breakdown
│ ├── LoadingSpinner.tsx # Loading state indicator
│ ├── ErrorMessage.tsx # Error display component
│ └── EasterEggMenu.tsx # Hidden chaos panel & toy blaster
├── lib/
│ └── github.ts # GitHub API fetch helpers
├── types/
│ └── github.ts # TypeScript interfaces for API responses
├── public/ # Static assets
└── package.json
- UX Debouncing — A custom
useDebouncehook (1.5 s buffer) prevents excessive API calls on the unauthenticated tier while keeping the search feel snappy. - Tailwind-First Styling — The entire glassmorphism aesthetic is built with compound Tailwind classes rather than external CSS, making it easy to iterate and scale.
- Graceful Degradation — The autocomplete dropdown swallows rate-limit errors silently so that the primary "Search" button flow always works, even when the search-suggestions endpoint is throttled.
- Next.js Image Optimization — GitHub avatars are served through
next/imagewith configuredremotePatternsfor automatic format and size optimization.
This project is open-source and available under the MIT License.