HackerRank

Meet Chakra

An agentic interviewer that spins up a canvas with a real-world problem, observes how candidates work and evaluates judgment, critical thinking & AI fluency.

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Trusted by thousands of companies and millions of developers

  • Clay
  • Replit
  • Cerebras
  • Google
  • DoorDash
  • Sarvam
  • Wayfair
  • Atlassian

Hire for the agentic era

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  1. Chakra can spin up an agentic development environment, observe how candidates build and probe deeper to test their judgment and critical thinking: the skills that matter most in the AI era

  2. 500k+ candidates have been interviewed by Chakra, and they rate the experience 4.8/5 on average. They don’t just love it, they actually prefer it!

  3. Integrity isn’t about whether you use AI or not. It’s about following the rules. Chakra flags suspicious behavior, such as using unauthorized apps like Cluely or taking help from an external device or your “friend”

  4. Turn any job description into a tailored Chakra, complete with custom sections, questions and rubrics for the roles shaping what comes next.

  5. Chakra is rigorously evaluated to make sure its scores match those of human experts, and that it isn’t biased against any race, ethnicity or gender.

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AI Engineer

Build an AI feature in a real codebase

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Forward Deployed Engineer

Scope and ship a customer integration

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Customer Experience Engineer

Debug a customer-facing AI workflow

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AI Product Manager

Prototype and prioritize with AI

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Frequently Asked Questions

How is Chakra different from other AI interviewers?

Most AI interviewers are voice-only. They ask questions, listen to answers, and score how someone talks about their work, which rewards confident talkers and shallow evaluation. Chakra opens a live canvas like a dev environment and watches candidates actually do the work. Then it asks follow-up questions on the candidate’s work to see how well they’re able to defend their decisions and approach - all of this while ensuring high integrity. The result is a far deeper read on real ability, that’s how Chakra is different from other AI interviewers.

How does Chakra evaluate a candidate?

Chakra scores candidates on what they say during the conversation and the work they do in the hands-on section. You get clear scores for each competency, a summary of the candidate’s strengths and gaps, and a clear ‘why’ for every score, backed by direct proof from the transcripts and work to support what Chakra is saying.

How do you ensure evaluations are consistent, fair and accurate?

We have a rigorous process to ensure consistency, fairness and accuracy of our evaluation:

  1. Consistency: We use an evaluation engine to simulate the scoring for the same response with different phrasing, across different genders, tonality, grammar to ensure the grade received is consistent. We also run this multiple times to ensure the grading doesn’t change across different runs.
  2. Accuracy: We have a robust accuracy measurement and maintenance framework. This has multiple stages:
    1. We build the rubric with experts and subject matter experts in hiring for specific roles. Experts collate the rubric for every role and question.
    2. Once experts collate the rubric and it is scored, we ensure there is a human annotation process. This takes the response given by the candidate to the question and has human experts score it.
    3. We look at the rate of agreement of this score with the AI, as well as inter-annotator agreement.
    4. Only once the human-AI agreement is above a certain level do we use that model to build scoring.
  3. Fairness: We want to ensure our evaluations are fair to all types of candidates. We conduct frequent bias analyses with third-party auditors to ensure no candidate cohort is adversely impacted by our evaluation systems, in compliance with the NYC Bias audit law (144).

This happens on a frequent basis to ensure the scoring is consistent and accurate. This also forms our golden dataset, which we use to ensure consistency of scoring in the long run as we upgrade models or we bring in more parameters in the evaluation.

Can I bring my own questions?

Yes, you can use your own questions or pick from the Chakra library.

Does it integrate with my ATS?

Yes, Chakra connects with all the popular ATS providers via a direct integration. So invites, results, and candidate status flow into the tools your team already uses. Further, we also provide a Chakra MCP which allows you to pull all of this data into your workflows.

What is the overall enterprise readiness to deploy this widescale?

Chakra runs on HackerRank’s existing, audited production infrastructure and inherits the same controls as the rest of the platform: SOC 2 compliance, encryption in transit and at rest, SSO/SAML with MFA, and clear data-retention and deletion policies. Candidate data is never used to train AI models, and all hosting is done securely with each customer’s data isolated.

Are candidates actually OK with this?

Candidates love it. Across 500,000+ interviews, Chakra’s average candidate rating is above 4.8. Candidates tell us they prefer it because the experience is interactive, they can take it at their convenience, and the problem statements are real-world rather than LeetCode-style puzzles. Do they like it more than a human interviewer? Honestly, that might depend on the human. 😉

Got more questions? Get in touch.

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