ishant khatri

I’m open sourcing JustHireMe 🚀 A local-first Agentic AI desktop app I’ve been building to make job searching more intelligent, transparent, and user-controlled. GitHub: github.com/vasu-devs/just… The current job search process is broken. Candidates spend hours scrolling through: stale job posts irrelevant roles spammy listings senior-only positions repeated listings across platforms jobs with almost no useful context And most AI job tools either scrape too broadly, rank opportunities like a black box, or try to automate applications without giving the user enough control. I wanted to build something different. JustHireMe is designed as a personal job intelligence workbench. Instead of blindly applying everywhere, it helps users discover better opportunities, evaluate them against their real profile, and generate tailored application materials while keeping sensitive career data local. What it can do: Ingest resume/profile data Build a local professional profile graph Discover job leads from multiple sources Filter out low-quality or irrelevant postings Score roles based on explainable fit Match jobs using graph + vector search Generate tailored resumes Generate cover letters Draft cold emails Draft LinkedIn outreach messages Track leads in a local CRM-style pipeline Keep the user in control through a human-in-the-loop workflow The main principle behind the project is: More signal. More explanation. More local control. Less blind automation. The tech stack: Tauri for the desktop shell React + TypeScript for the frontend Python + FastAPI for the backend sidecar SQLite for local lead tracking KuzuDB for graph-based profile modeling LanceDB for vector search and semantic matching Playwright for experimental browser automation One of the biggest goals is privacy. Your resume, career history, generated documents, job leads, application notes, and API keys should not have to live on someone else’s server by default. JustHireMe is built around a local-first architecture so users can keep ownership of their data while still benefiting from modern AI workflows. Another major goal is explainability. I don’t want an AI system that just says: “This job is a good match.” I want it to explain: which skills matched which projects support the application what gaps exist why a role was filtered out why a role deserves attention what to highlight in the resume or cover letter That matters because job search is not just a productivity problem. It is personal. It affects confidence. It affects opportunity. It affects people’s careers. The project is currently in alpha, but the foundation is in place. I’m looking for contributors interested in: Agentic AI AI agents workflow automation job source adapters web scraping ranking algorithms GraphRAG vector databases semantic search resume parsing document generation local-first software privacy-first AI UI/UX testing and documentation If you’re a developer, designer, AI engineer, student, or someone who has felt the pain of modern job searching, I’d love your feedback, ideas, issues, PRs, or even just a star ⭐ Repo: github.com/vasu-devs/just… Let’s build a better, more transparent job search system together. #OpenSource #AgenticAI #AIAgents #RAG #GraphRAG #Python #FastAPI #ReactJS #TypeScript #Tauri #VectorDatabases #JobSearch #CareerTech #Automation #PrivacyFirst

guys i was frustrated with AIAIAIAIAI , so i went to an AI (claude) and asked him to make a roadmap of becoming solid with fundamentals rather then learning any replaceable framework , syntax automation . so here's what i got -> drive.google.com/file/d/1RPy7Xw…

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