HackerRank Chakra evaluates how candidates work with AI
Chakra observes practical work and gives hiring teams scores tied to interview evidence.
TechCrunch reported Chakra’s general availability on October 5 without specifying a launch time.
HackerRank’s product page describes an AI interviewer that watches candidates work in a live development canvas and asks them to explain their choices. Employers can tailor the questions and scoring rubric to a job description.
Scores tied to interview evidence
In its July explanation of Chakra’s scoring, HackerRank describes three separate agents. One creates the interview plan, another conducts the conversation and a third scores the transcript against the plan. The company says each expectation must have supporting evidence or be marked as not assessed.
The current product page says reports include competency scores, strengths and gaps, with explanations tied to the candidate’s words and practical work.
Its CEO told TechCrunch that people make the final hiring decision.
Usage figures have limits
HackerRank reports more than 500,000 interviews and an average candidate rating above 4.8 out of 5. It describes checks against human ratings and bias analyses, but the product page does not provide the underlying validation results.
ByteForward has not tested Chakra or independently assessed its scoring accuracy.
Illustrative archival photograph Laptop on a neat desk by Norbert Levajsics under CC0. Resized and converted to WebP. The screens do not show Chakra.
