An AI-powered Job Search System built on Claude Code
Career-Ops turns Claude Code into an AI job search pipeline. 12 modes, A-F scoring across 10 dimensions, ATS-optimized CVs per listing, batch processing of 122 URLs in parallel. 631 evaluations, 68 apps sent. Open source, 9.1K GitHub stars.
@santifer built a multi-agent job search system on Claude Code, ran 631 evaluations, sent 68 applications, and landed a Head of Applied AI role, then open-sourced it.
The problem: searching for senior AI roles is a full-time job. Read the JD, map your skills, rewrite the CV, fill 15-field forms, multiplied by 10 offers a day. 74% of offers are a poor fit. You find out after reading 800 words. The solution: Career-Ops automates the analysis. You make every final call.
What stands out:
🎯 A–F scoring across 10 dimensions with role match gate filters
📄 ATS PDFs per role with keywords, reordered bullets, auto region
🔍 Scanner across 45+ companies like Ashby, Lever, Wellfound
⚡ Batch mode runs 122 URLs in parallel with worker architecture
🧠 Story Bank builds reusable STAR+R interview answers
💰 Negotiation scripts for salary, geo gaps, competing offers
📊 Dashboard with filters, sorting, and lazy previews
🔁 680 URLs deduped with human review before submission
By the numbers:
631 evaluations, 516 unique offers
354 PDFs generated
68 applications sent
9.1K GitHub stars, 1.6K forks
Different because this isn't an auto-apply bot, it's a filter. The design principle is explicit: automate analysis, not decisions. And the system itself is the portfolio, building a multi-agent architecture to land multi-agent roles is the most direct proof of competence.
Perfect for senior engineers, AI practitioners, and anyone running a serious, high-signal job search at scale.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified →@rohanrecommends
About Career-Ops on Claude on Product Hunt
“An AI-powered Job Search System built on Claude Code”
Career-Ops on Claude launched on Product Hunt on April 8th, 2026 and earned 149 upvotes and 12 comments, placing #7 on the daily leaderboard. Career-Ops turns Claude Code into an AI job search pipeline. 12 modes, A-F scoring across 10 dimensions, ATS-optimized CVs per listing, batch processing of 122 URLs in parallel. 631 evaluations, 68 apps sent. Open source, 9.1K GitHub stars.
On the analytics side, Career-Ops on Claude competes within Productivity, Artificial Intelligence and Career — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Career-Ops on Claude performed against the three products that launched closest to it on the same day.
Who hunted Career-Ops on Claude?
Career-Ops on Claude was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Career-Ops on Claude including community comment highlights and product details, visit the product overview.
Rohan Chaubey
@santifer built a multi-agent job search system on Claude Code, ran 631 evaluations, sent 68 applications, and landed a Head of Applied AI role, then open-sourced it.
The problem: searching for senior AI roles is a full-time job. Read the JD, map your skills, rewrite the CV, fill 15-field forms, multiplied by 10 offers a day. 74% of offers are a poor fit. You find out after reading 800 words. The solution: Career-Ops automates the analysis. You make every final call.
What stands out:
🎯 A–F scoring across 10 dimensions with role match gate filters
📄 ATS PDFs per role with keywords, reordered bullets, auto region
🔍 Scanner across 45+ companies like Ashby, Lever, Wellfound
⚡ Batch mode runs 122 URLs in parallel with worker architecture
🧠 Story Bank builds reusable STAR+R interview answers
💰 Negotiation scripts for salary, geo gaps, competing offers
📊 Dashboard with filters, sorting, and lazy previews
🔁 680 URLs deduped with human review before submission
By the numbers:
631 evaluations, 516 unique offers
354 PDFs generated
68 applications sent
9.1K GitHub stars, 1.6K forks
Different because this isn't an auto-apply bot, it's a filter. The design principle is explicit: automate analysis, not decisions. And the system itself is the portfolio, building a multi-agent architecture to land multi-agent roles is the most direct proof of competence.
Perfect for senior engineers, AI practitioners, and anyone running a serious, high-signal job search at scale.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends