JobOps

AI-powered job discovery and application pipeline. Automatically finds jobs, scores them against your profile, and generates tailored resumes.

Workflow

1. Search: Scrapes Gradcracker, Indeed, LinkedIn, and UK Visa Sponsorship jobs.
2. Score: AI ranks jobs by suitability using the configured LLM provider (OpenRouter by default).
3. Tailor: Generates a custom resume summary for top-tier matches.
4. Export: Uses RxResume v4 to create tailored PDFs.
5. Manage: Review and mark jobs as "Applied" via the dashboard (syncs to Notion).

Example of generating a tailored resume for a job

https://github.com/user-attachments/assets/5b9157a9-13b0-4ec6-9bd2-a39dbc2b11c5

Example of applying to a Ready job

https://github.com/user-attachments/assets/06e5e782-47f5-42d0-8b28-b89102d7ea1b

Quick Start

# 1. Clone and move to directory
git clone https://github.com/DaKheera47/job-ops.git
cd job-ops

# 2. Start with Docker (pulls pre-built image from GHCR)
docker compose up -d

# 3. Open the dashboard, the app will onboard your credentials
open http://localhost:3005

The app will guide you through setup on first launch. The onboarding wizard helps you:

• Configure the LLM provider (OpenRouter by default) and add an API key if required (for AI scoring/tailoring)
• Add your RxResume credentials (for PDF export via v4.rxresu.me)
• Select a template resume from your v4.rxresu.me account

Note: OPENROUTER_API_KEY is deprecated. Existing OpenRouter keys are automatically migrated/copied to LLM_API_KEY on upgrade. Other providers are also supported.

Structure

• /orchestrator: React frontend + Node.js backend & pipeline.
• /extractors: Specialized scrapers (Gradcracker, JobSpy, UKVisaJobs).
• /data: Persistent storage for SQLite DB and generated PDFs.

Technical breakdowns here: documentation/extractors/README.md Orchestrator docs here: documentation/orchestrator.md

Read-only mode (Basic Auth)

You can make the app read-only for the public by setting a username and password in the Settings page. After this, all write actions (POST/PATCH/DELETE) require Basic Auth; browsing and viewing remain public.

Persistent data lives in ./data (bind-mounted into the container).

Running (local dev)

Prereqs: Node 20+, Python 3.10+, Playwright browsers (Firefox).

Install Node deps (both packages):

cd orchestrator && npm install
cd ../extractors/gradcracker && npm install

Configure the orchestrator env + DB:

cd ../orchestrator
cp .env.example .env
npm run db:migrate
npm run dev

Dev URLs:

• API: http://localhost:3001/api
• UI (Vite): http://localhost:5173

Notes / sharp edges

• Crawl targets: edit extractors/gradcracker/src/main.ts to change the Gradcracker location/role matrix.
• Pipeline config knobs: POST /api/pipeline/run accepts { topN, minSuitabilityScore }; PIPELINE_TOP_N/PIPELINE_MIN_SCORE are used by npm run pipeline:run (CLI runner).
• Anti-bot reality: crawling is headless + "humanized", but sites can still block; expect occasional flakiness.

Note on Analytics: The current alpha version includes anonymous analytics (Umami) to help me debug performance. This will be made opt-in only in the upcoming updates. If you want to disable it now, block umami.dakheera47.com in your firewall.

Contact

If you need any help with any step of the process, feel free to open an issue. I am actively monitoring this section and I would be extremely happy to help you get up and running!

Star History

License

AGPLv3