- Primary focus
- A Claude Code workflow for evaluating jobs, tailoring CVs and preparing interviews
- Deployment
- Not specified
- Source model
- Open source
- Pricing model
- open source
- API available
- Not specified
- Windows desktop
- Yes
- Mobile app
- Not specified
- Overview
- MIT-licensed job application framework for Claude Code, with vacancy evaluation, tailored LaTeX CVs and cover letters, interview preparation and a local application tracker.

| Attribute | ||
|---|---|---|
| Overview | ||
| Primary focus | A Claude Code workflow for evaluating jobs, tailoring CVs and preparing interviews | Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster. |
| Deployment | Not specified | Self-hosted |
| Source model | Open source | Other license |
| Pricing model | open source | paid |
| API available | Not specified | Yes |
| Windows desktop | Yes | Not specified |
| Mobile app | Not specified | Not specified |
| Overview | MIT-licensed job application framework for Claude Code, with vacancy evaluation, tailored LaTeX CVs and cover letters, interview preparation and a local application tracker. | Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC). |
| Explore further | ||
| Vendor website | Visit vendor ↗ | Visit vendor ↗ |
| ITHub profile | View full profile → | View full profile → |
- Primary focus
- Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster.
- Deployment
- Self-hosted
- Source model
- Other license
- Pricing model
- paid
- API available
- Yes
- Windows desktop
- Not specified
- Mobile app
- Not specified
- Overview
- Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC).
ⓘ Confirm technical details and prices with each vendor before making a decision.