Jobber/README.md
2026-02-07 16:03:37 +00:00

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# 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](https://v4.rxresu.me) to create tailored PDFs.
5. **Manage**: Review and mark jobs as "Applied" via the dashboard (calls webhooks for lifecycle events).
## 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
## How to Start
### Prerequisites
- Docker Desktop (or Docker Engine + Docker Compose)
### Overview
- Run the app with Docker (this pulls the pre-built image).
- Create accounts:
- OpenRouter (LLM scoring/tailoring)
- RxResume v4 (PDF export + editable resume data)
- Open the dashboard and complete the onboarding wizard:
- Add API keys/credentials
- Choose a resume template from RxResume
- Run the pipeline to fetch jobs → score → tailor → export PDFs
- Review jobs in the dashboard and mark stages
### Quick Start (commands)
```bash
# 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 in your browser, the app will onboard your credentials
# http://localhost:3005
```
### Required accounts
- OpenRouter (LLM provider)
- Create an account and generate an API key.
- RxResume v4
- Create an account on v4.rxresu.me
- The summary, title, chosen projects, and keywords in the Resume will be tailored for the job description
- Recreate/import your resume there so JobOps can:
- pick a template
- generate tailored PDFs from your stored resume data
### App Onboarding
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
## Technical Details
- Technical breakdowns here: `documentation/extractors/README.md`
- Orchestrator docs here: `documentation/orchestrator.md`
- Persistent data lives in `./data` (bind-mounted into the container).
## 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](https://github.com/DaKheera47/job-ops/issues). I am actively monitoring this section and I would be extremely happy to help you get up and running!
## Star History
<a href="https://www.star-history.com/#DaKheera47/job-ops&type=date&legend=top-left">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=DaKheera47/job-ops&type=date&theme=dark&legend=top-left" />
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=DaKheera47/job-ops&type=date&legend=top-left" />
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=DaKheera47/job-ops&type=date&legend=top-left" />
</picture>
</a>
## License
AGPLv3