# Job-Ops — Self-Hosted Job Search Pipeline with AI Assistance

> A self-hosted application that applies DevOps principles to job hunting, providing a pipeline to track applications, analyze job postings, generate tailored materials, and manage the entire search process from a dashboard.

## Install

Save in your project root:

# Job-Ops — Self-Hosted Job Search Pipeline with AI Assistance

## Quick Use
```bash
git clone https://github.com/DaKheera47/job-ops.git
cd job-ops
npm install
cp .env.example .env
# Configure your settings in .env
npm run dev
# Open http://localhost:3000
```

## Introduction
Job-Ops applies DevOps principles to the job search process. It provides a self-hosted dashboard where you can track applications, analyze job postings with AI, generate tailored resumes and cover letters, and manage your entire job hunting pipeline from a single interface. Think of it as a CI/CD pipeline for your career.

## What Job-Ops Does
- Tracks job applications through configurable pipeline stages (applied, screening, interview, offer)
- Analyzes job postings with AI to extract key requirements and match them to your skills
- Generates tailored cover letters and resume adjustments for specific positions
- Provides analytics on application success rates, response times, and pipeline health
- Runs entirely self-hosted with Docker for full data privacy

## Architecture Overview
Job-Ops is a TypeScript application built with Next.js for both the frontend dashboard and the backend API. Application data is stored in a local database, and AI features connect to configurable LLM providers for text analysis and generation. The pipeline model uses a Kanban-style board where each application moves through stages. The analytics engine aggregates data across applications to surface insights about your search patterns.

## Self-Hosting & Configuration
- Clone the repository and install Node.js dependencies
- Configure environment variables for database and optional AI provider keys
- Run in development mode with `npm run dev` or build for production
- Deploy with Docker Compose for a persistent self-hosted instance
- Import existing applications from CSV or add them manually through the UI

## Key Features
- Visual Kanban pipeline for tracking application stages
- AI-powered job posting analysis and skill matching
- Automated cover letter and resume tailoring suggestions
- Application analytics with conversion rate tracking
- Self-hosted with Docker for complete data privacy

## Comparison with Similar Tools
- **Huntr** — commercial job tracker with browser extension; Job-Ops is self-hosted and free
- **Teal** — SaaS resume builder and tracker; Job-Ops adds AI analysis and runs on your server
- **Notion templates** — flexible but manual; Job-Ops provides purpose-built pipeline automation
- **LinkedIn Easy Apply** — platform-specific; Job-Ops tracks applications across all platforms

## FAQ
**Q: Does Job-Ops require an AI API key?**
A: AI features are optional. The core tracking and pipeline management work without any API key. Add an LLM provider key to enable analysis and generation features.

**Q: Can I import my existing applications?**
A: Yes. Job-Ops supports CSV import for bulk loading existing application data.

**Q: Is my data sent to any external service?**
A: No. All data stays on your server. AI requests go directly to the provider you configure, and no telemetry is collected.

**Q: Can I customize the pipeline stages?**
A: Yes. Pipeline stages are configurable to match your personal job search workflow.

## Sources
- https://github.com/DaKheera47/job-ops

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Source: https://tokrepo.com/en/workflows/asset-f99aa2de
Author: AI Open Source