HackerRank Just Revealed How AI Screens You

👉 Want help with interviews? - https://www.skool.com/raymond/about My LinkedIn -   / therealraymondjones   HackerRank just open-sourced their ATS hiring agent — and I used Claude to break down exactly how it scores resumes. I've spent 7 years as a software engineer, earning over $200K at Walmart. I landed that offer during one of the toughest job markets in years — no CS degree, no luck, just a system. In this video I break down HackerRank's actual scoring pipeline so you can build a resume that gets picked, not rejected. In this video I talk about: How HackerRank's open-source hiring agent scores resumes The 4 technical categories it evaluates candidates on Why open source contributions can boost your score 0-35 points What separates a "star candidate" from a rejected one Why personal to-do list apps actually hurt your score How internships and production experience are weighted What technical skills recruiters/AI are really scanning for ≥ TIMESTAMPS 0:00 HackerRank open-sources their ATS system 0:45 What you'll learn in this video 1:01 Using Claude to analyze the repository 2:32 How the hiring agent evaluation pipeline works 2:58 Open source scoring (0-35 points) 5:01 Bad candidate signals (spammy repos, no GitHub) 5:32 Real example: to-do list vs Kubernetes contributor 6:29 Self projects: build real, complex things 6:56 Production/internship experience scoring 8:19 Technical skills breakdown 8:38 Bonus points (startups, founders, LinkedIn presence) 9:32 Star candidate example 10:03 Bad candidate example 11:06 Where to get more help (Skool community)