Jobsy

A production-ready SaaS MVP that lets users upload a resume, paste a job description, and get AI-powered analysis: skill match, missing keywords, resume suggestions, and company insights.

Tech stack

• Next.js 16 (App Router, TypeScript)
• Supabase (Auth, Postgres, Storage)
• Tailwind CSS
• Google Gemini API (server-side only)

Setup

1. Install dependencies

npm install

2. Supabase

1. Create a project at supabase.com.
2. In the SQL Editor, run the contents of supabase/schema.sql to create tables, RLS, and storage policies.
3. Storage bucket: If the schema’s INSERT INTO storage.buckets doesn’t create the bucket (or uploads fail), create it manually:
   • Go to Storage in the dashboard → New bucket
   • Name: resumes
   • Private bucket
   • File size limit: 5 MB
   • Allowed MIME types: application/pdf, application/vnd.openxmlformats-officedocument.wordprocessingml.document
   • Then run the storage policies from supabase/schema.sql (the three CREATE POLICY statements for storage.objects).
4. In Authentication → URL Configuration, set Site URL (e.g. http://localhost:3000) and add http://localhost:3000/auth/callback to Redirect URLs.

3. Environment variables

Copy .env.example to .env.local and fill in:

cp .env.example .env.local

• NEXT_PUBLIC_SUPABASE_URL — Project URL from Supabase dashboard
• NEXT_PUBLIC_SUPABASE_ANON_KEY — anon public key
• GEMINI_API_KEY — Google Gemini API key for analysis (get one at aistudio.google.com/apikey)
• Optional: ANALYSIS_RATE_LIMIT_PER_DAY (default 10), NEXT_PUBLIC_SITE_URL for auth redirects

4. Run

npm run dev

Open http://localhost:3000. Sign up, upload a resume (PDF or DOCX), paste a job description, and run analysis.

Project structure

Path	Purpose
src/app/	App Router: (auth) (login/signup), dashboard, Server Actions in actions/
src/lib/	Supabase clients, types, parse-resume.ts, analysis-prompts.ts
src/components/	Auth forms, dashboard steps and analysis result UI
supabase/schema.sql	Tables, RLS, storage bucket and policies

See ARCHITECTURE.md for design decisions, data flow, and scaling notes.

Features

• Auth: Email/password signup and login; protected dashboard; session via cookies.
• Resume upload: PDF/DOCX, max 5MB; text extracted server-side; stored in Supabase Storage and DB.
• Job description: Paste and save; stored in job_descriptions.
• AI analysis: Job summary, resume vs JD match (%, matching/missing/suggested skills), resume improvement suggestions (bullets + ATS keywords), company insights (AI-generated, with disclaimer), next steps. Results cached in DB per (resume, JD) pair; rate-limited per user per day.
• Dashboard: Step flow (Resume → Job description → Analyze → Result), empty states, and disclaimers for AI content.

License

MIT