HackerRank
HackerRank is a technology hiring platform that helps 2,500+ companies hire skilled developers and innovate faster. Our mission is to match every developer to the right job.
- Indexed videos, last 90 days
- 6
- Latest publication
- Sep 28, 2026
- Audience
- ~275K subscribers
- Earliest in this view
- Aug 13, 2026
Latest videos
How Cerebras Is Rethinking Engineering Hiring for the AI Era (opens the original)
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Cerebras builds the computing systems that power AI. After hiring hundreds of engineers this year alone, the company is looking to keep growing its teams with people who know how to work in an AI-native environment. That means moving beyond isolated LeetCode problems and getting closer to the work engineers do today: solving problems in real codebases with AI. Check out how Cerebras is rethinking the way it hires engineers.
We Rebuilt Tech Hiring for the Agentic Era (opens the original)
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We spent 10 years helping companies screen developers with take-home tests. But with AI, anyone can ace a take-home. So we rebuilt the stack. Meet the new hiring process.
How Adobe Hires in the AI Era (opens the original)
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Developers today don't write code, they orchestrate agents. And when you’re hiring engineers at a company shaping the future of generative media, figuring out who can actually work well with AI becomes a very important problem. That’s something Harpreet Kaur and her team at Adobe think about every day. And here’s why they’re partnering with HackerRank to make that shift.
Can This Vibe Coder Beat a Senior Developer? (opens the original)
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Can a vibe coder with AI actually outperform a senior developer? We put a vibe coder, a junior developer, and a senior developer head-to-head on the same challenge to see how far AI can close the experience gap. Let’s see who wins.
How DeepL Hires Engineers Who Actually Use AI (opens the original)
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You can't hire AI-native engineers with a process that bans AI. DeepL knew it. Hear from their EM, Steven Syrek, on how they use HackerRank, where candidates use AI to solve real problems, just like they would on the job.
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
~275K subscribers
Measured Sep 19, 2026
Source's subscribers, not the number who saw an individual piece.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
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