A personal job application tracker with AI-assisted features, built with Next.js 16 and the Anthropic API.

• Dashboard — overview stats: active applications, upcoming interviews, offer rate, and response rate
• Job List — track applications through the full hiring pipeline (Applied → Phone Screen → Technical → Onsite → Offer → Accepted/Rejected), with star ratings and match scores
• Kanban Board — drag-and-drop view of all applications by status
• Calendar — week/month view of scheduled interviews; click any event to edit or delete it inline
• Waiting List — save jobs you're interested in before applying; promote to active tracker with one click
• Explore — search live job listings via LinkedIn and Arbeitnow APIs and add them directly to your tracker
• Analyze — AI-powered CV analysis: match score, gap detection, and improvement suggestions per job
• Cover Letter Generator — AI-generated cover letters based on your CV and the job description, with PDF export
• Learn — track learning resources (books, repos, articles, projects) with status and daily journal (what I did / plan for tomorrow)
• Tips — interview prep entries per company/position: notes, interview questions (text or link), learning sources, prep checklist, and a full markdown guide panel for detailed prep documents

All data is stored locally in the browser (localStorage) with an optional file-based backup at data/data.json. No external database required.

• Framework: Next.js 16 (App Router, Turbopack)
• UI: React 19, Tailwind CSS v4
• Markdown: react-markdown + remark-gfm + @tailwindcss/typography
• Drag & Drop: dnd-kit
• Charts: Recharts
• AI: Anthropic API (claude-sonnet-4-6)
• PDF export: jsPDF + html2canvas

• Node.js 18+
• An Anthropic API key (required for AI features only)

# 1. Install dependencies
npm install

# 2. Create environment file
cp .env.local.example .env.local

Edit .env.local and add your key:

ANTHROPIC_API_KEY=sk-ant-...

The AI features read two files from the project root. These are personal and not committed to the repo — copy the examples and fill them in:

cp CV.example.md CV.md
cp CoverLetterTemplate.example.md CoverLetterTemplate.md

• CV.md — your CV in Markdown. Used for match scoring, gap analysis, and improvement suggestions.
• CoverLetterTemplate.md — your base cover letter. The AI uses this as a starting point when generating cover letters for specific jobs.

Both files are in .gitignore and will never be committed.

# Development (with Turbopack)
npm run dev

# Production build
npm run build
npm start

Open http://localhost:3000.

The Analyze page and Cover Letter generator require this key. All other features (job tracking, calendar, learn, tips, etc.) work without it.

Data is saved to localStorage immediately on every change. A debounced backup also writes to data/data.json via the /api/data PUT endpoint — this file survives browser clears and can be committed to keep data across machines.

app/
├── dashboard/       # Stats overview + job list
├── board/           # Kanban view
├── calendar/        # Interview calendar (week/month)
├── waitlist/        # Pre-application job list
├── explore/         # Live job search
├── analyze/         # AI CV analysis
├── learn/           # Learning resource tracker + daily journal
├── tips/            # Interview prep entries with markdown guide
├── api/
│   ├── cv/          # Match, gap, and suggestions endpoints
│   ├── cover-letter/# Cover letter generation
│   ├── data/        # File-based data backup (GET/PUT)
│   ├── explore/     # Job listing search proxy
│   └── jd/          # Job description structuring
├── _components/     # Shared UI components
└── _lib/            # Types, store (useReducer + Context), and localStorage layer

MIT