Deploy CareerOps Hub
Railway

Deploy CareerOps Hub

Automate your job hunt with Claude Code in one click! πŸŒπŸ€–

Deploy CareerOps Hub

Just deployed

/root/workspace

Deploy and Host CareerOps Hub on Railway

CareerOps Hub is a centralized, AI-powered command center designed to automate the most tedious parts of job hunting. By leveraging Claude Code and an Ubuntu-based web terminal, it analyzes job descriptions, scores opportunities (A-F), and generates tailored, ATS-friendly CVs in real-time; all through a single, secure browser-based interface.

About Hosting CareerOps Hub

Hosting CareerOps Hub on Railway involves deploying a customized Ubuntu container pre-configured with a full DevOps-ready stack. The deployment includes Node.js 20 LTS for the core application logic, Playwright for automated PDF rendering (Chromium), and ttyd for secure web terminal access. By using Railway’s persistent volumes, your CVs, tailored profiles, and AI logs remain safe across redeployments. This cloud-native approach ensures your AI agent stays active 24/7, allowing you to scan job portals and prepare applications from any device without the need for local processing power or complex setup.

Common Use Cases

  • Automated Job Scoring: Quickly evaluate job URLs (LinkedIn, Greenhouse, etc.) to see how well they match your profile with AI-generated grades.
  • Dynamic CV Tailoring: Instantly generate job-specific Markdown or PDF CVs that highlight your most relevant skills for a particular role.
  • AI Interview Prep: Use the integrated Claude Code to generate STAR-method stories and interview scripts based on the job description you're applying for.

Dependencies for CareerOps Hub Hosting

  • Anthropic Claude Account: Required for Claude Code CLI authentication to power the AI logic and job analysis.
  • Railway Persistent Volume: Necessary to store your cv.md, profile.yml, and generated PDF outputs permanently.

Deployment Dependencies

Implementation Details

The template utilizes a multi-stage logic to ensure your workspace is always ready. Even when mounting a new Railway Volume, the system automatically populates the necessary configuration files from a backup source upon the first boot. Once the terminal is live, follow these steps:

  1. Authorize AI: Run claude and follow the OAuth link to connect your Anthropic account.
  2. Define Your Profile: Navigate to cd config and edit profile.yml using nano to set your career targets.
  3. Deploy Your CV: Create your master CV file: nano /root/workspace/cv.md (Paste your CV in Markdown format).
  4. Execute Operations: Simply paste a job URL into the terminal or run the /career-ops command to start the engine.
# Example execution inside the Hub:
/career-ops https://www.linkedin.com/jobs/view/123456789/

Why Deploy CareerOps Hub on Railway?

Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.

By deploying CareerOps Hub on Railway, you are one step closer to supporting a complete full-stack application with minimal burden. Host your servers, databases, AI agents, and more on Railway.


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