How is JobClaw different from LinkedIn job search?

LinkedIn shows jobs after they're publicly posted to thousands. JobClaw monitors VC funding announcements before listings go live, so you apply in the first 10 instead of the first 1,000.

What is an AI job search agent?

An AI job search agent automatically discovers, scores, and applies to jobs on your behalf. JobClaw scores each job 0-100 based on your resume, writes tailored cover letters, and sends cold outreach emails to recruiters.

Does JobClaw work for remote jobs?

Yes. JobClaw filters for remote, hybrid, or on-site roles and scans RemoteOK, Arbeitnow, WorkingNomads, and startup job boards simultaneously.

How fast can I get my first job lead?

Most users see matched job recommendations within 24 hours of setup. The pipeline runs continuously and sends Telegram alerts for high-scoring matches.

FREE TOOL

Free Resume Keywords Extractor

ATS systems reject 75% of resumes before a human reads them — usually for missing keywords. Find yours in seconds.

Want this done automatically for every job?

JobClaw extracts keywords and tailors your resume for every role automatically.

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What ATS keywords are and why they matter

Every job description contains signal words that the employer considers important. Some are technical skills ("Python", "AWS", "Figma"), some are domain terms ("B2B SaaS", "Series A", "agile"), and some are role-specific phrases ("cross-functional collaboration", "stakeholder management"). Applicant Tracking Systems weight these terms when scoring candidates.

The goal isn't to stuff your resume with keywords — it's to make sure the skills and experience you actually have are described using the same language the employer used. A resume that says "built distributed systems" for a role asking for "microservices architecture" may describe the same work but score differently.

How this extractor works

Paste any job description and the tool identifies the high-frequency, meaningful terms — filtering out stop words and common filler. Results are grouped by category: technical skills and tools, soft skills and attributes, and all keywords by frequency.

The frequency score (shown in parentheses) indicates how many times a term appears in the description. Higher frequency = higher likely weighting by the employer. Focus on adding missing high-frequency terms first.

How to use the extracted keywords

—Compare the Top Skills list against what's in your resume — add any you genuinely have but haven't listed
—Use the exact phrasing from the JD when possible, not your own preferred synonym
—Add keywords to your summary, skills section, and bullet points — not just a keyword block at the bottom
—For tools and tech: list them where they're relevant to a specific achievement, not just in isolation
—Re-run this check if you significantly customize your resume for a different role type

What ATS keywords are and why they matter

How this extractor works

How to use the extracted keywords

—Compare the Top Skills list against what's in your resume — add any you genuinely have but haven't listed

—Use the exact phrasing from the JD when possible, not your own preferred synonym

—Add keywords to your summary, skills section, and bullet points — not just a keyword block at the bottom

—For tools and tech: list them where they're relevant to a specific achievement, not just in isolation

—Re-run this check if you significantly customize your resume for a different role type