Scout
Searches 11+ Indian job boards, tailors resume, auto-applies
What it does
Scout is a Claude Code plugin that automates your entire job search. Run /scout-run and it searches Naukri, LinkedIn, Wellfound, iimjobs, Hirist, Indeed, YC Jobs, Greenhouse, Lever, Ashby, and Workday simultaneously. It uses Claude to tailor your resume to each job description, then submits applications in parallel. Built specifically for India — Naukri and iimjobs coverage is something no Western tool offers. First run free. ₹499/month or ₹4,499 lifetime.
Does the same job
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Career-Ops on ClaudeApr 2026 · github.com · ▲143An AI-powered Job Search System built on Claude Code


- PRPersonalized remote job recommendation using resume Analysis2024 · github.com · ▲5
Job-Scout is a command-line tool designed to simplify the search for remote Machine Learning jobs. It aggregates job listings from Twitter and Hacker News and uses natural language processing to match these postings to the skills and experience in your resume. With an emphasis on remote ML, AI, and Data Science roles, Job-Scout ranks and recommends jobs tailored to your qualifications. The tool is customizable, allowing users to adjust search queries for specific job roles or internships, making it ideal for both experienced professionals and students looking for personalized job matches.
- AOAn open source job search plugin for Claude CodeJun 2026 · github.com · ▲5
Hey HN, I wanted to share an open source plugin + skills I put together that turn Claude Code into a job search assistant. The goal is to minimize the amount of time needed to find interesting and relevant jobs. How it works: 1. Clone the repo, install the plugin, and run `/job-search` 2. Claude will ask a few questions to understand the roles you’re interested in and save your preferences locally. 3. Claude will then pull live job postings (currently, LinkedIn Jobs), compare posts against your preferences, and generate a digest of the posts that are relevant. 4. [Optionally] Claude…
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Parallel agents, diff reviewer, and multi-model comparisons
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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