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
Now you need to add functionality for employers so they can choose a developer based on the quality of their code ;)
This is awesome! Building a smart job search for Four-Leaf.ai was one of the hardest parts of making an end to end interview prep tool.
Would be awesome to hear about how you think of going from interview to offers and comp negotiation coaching. That's the gap we are trying to solve with Four-Leaf.
Congrats on the launch!
Turning job search into a structured, almost pipeline-driven system is a very cool approach — especially with scoring and parallel processing, that’s a level of rigor most people don’t have.
We also launched on Product Hunt a few days ago, so can definitely relate — hope you’re having a great launch day. Wishing you strong traction!
real agent, not a chat wrapper - using Claude Code for file iteration is the right call. the drift question matters though: one bad filter config and it's applying to roles you excluded.
Rohan being Rohan! It's more than cool mate. Not only cause he solved a real pain but also cause he open-sourced it to make the life of others easier than ever
Hey everyone! I'm Santiago, the creator of career-ops.
I built this during my own job search. After months of sending applications into the void, I decided to automate the entire process with Claude Code. The system evaluated 740+ offers, I applied to 66, got 12 interviews, and landed a Head of Applied AI role.
The irony? The job I accepted actually came inbound, a CEO saw my systems thinking and liked my mindset. Turns out, building the tool was the ultimate proof of competence.
I open-sourced it because I believe the hiring system is broken. Companies use AI to filter candidates — candidates deserve the same tools to filter companies.
Happy to answer any questions about the architecture or how it works!
Congrats on the launch Santiago! Love the multi-agent approach for high-signal job searching.
I built precis.top, a lightweight resume builder that focuses on clean, ATS-friendly structures. Since Career-Ops excels at generating tailored content, it could be a perfect 'last mile' partner—Career-Ops handles the intelligence, and Precis handles the professional presentation.
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.
Career-Ops on Claude was featured in Productivity (649.9k followers), Artificial Intelligence (466.4k followers) and Career (2k followers) on Product Hunt. Together, these topics include over 219.7k products, making this a competitive space to launch in.
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.
Want to see how Career-Ops on Claude stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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