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vasu-devsLocal-first AI job intelligence workbench
Top 22.5% on SourcePulse
This open-source desktop workbench addresses the noise and opacity of traditional job boards and AI application tools. It empowers job seekers, particularly those in technical AI roles, by providing a local-first system for discovering relevant opportunities, transparently evaluating fit, and generating customized application materials. The project offers greater control and signal compared to cloud-first, black-box solutions.
How It Works
JustHireMe operates as a local-first AI job intelligence workbench. It scrapes leads from diverse sources, applies a deterministic quality gate to filter out low-value postings, and ranks remaining opportunities based on explainable rules, feedback learning, and optional LLM reasoning. Candidate fit is assessed using Kuzu graph data and LanceDB vectors for semantic matching against a user's profile. Finally, it customizes application materials like resumes, cover letters, and outreach drafts. This approach prioritizes transparency, local data control, and extensibility for contributors.
Quick Start & Requirements
git clone the repository, cd JustHireMe, npm install, then npm run dev.git clone the repository, cd JustHireMe, npm install, cd backend, uv sync --dev, cd .., then npm run tauri dev.docs/ARCHITECTURE.md), Source Adapters (docs/source-adapters.md), Contribution Guide (CONTRIBUTING.md), Roadmap (ROADMAP.md).Highlighted Details
Maintenance & Community
The project is maintained by Vasu-devs and is currently in alpha. Contributions are welcomed for source adapters, ranking improvements, and packaging. The maintainer is open to sponsorship to support ongoing development and is reachable via email or X/Twitter.
Licensing & Compatibility
JustHireMe is released under the "JustHireMe Personal Open Source License." This license permits personal, educational, research, and evaluation use. However, all forms of commercial use, including business operations, paid services, lead generation, or any direct/indirect financial benefit, are strictly prohibited without express prior written permission and a separate royalty agreement.
Limitations & Caveats
The project is in alpha and not yet a polished consumer product. Browser automation and auto-apply features are experimental, unsupported, and disabled by default. The restrictive "Personal Open Source License" significantly limits commercial adoption and integration into business workflows. Windows desktop packaging is the primary release target.
2 days ago
Inactive