Chakra - Finally, an AI Interviewer that actually works
by•
Chakra is an AI Interviewer by HackerRank that conducts structured voice/video screening interviews on your behalf and generates evidence-backed reports aligned to your rubric.
Replies
Best
Maker
📌
Hi Product Hunt, I’m Mayur, Senior Product Manager at HackerRank (YC S11).
We built Chakra because early-round screening is breaking: applicant volume is exploding, scheduling takes forever, applications are increasingly AI-polished (or fabricated), and interview integrity issues are rising.
How it works: 1. Configure the role, competencies, and rubric in a chat-based setup 2. Invite candidates via email, a link, or directly through your ATS 3. Chakra conducts a structured voice/video interview and adapts to probe for the signals you need 4. Get an instant report with an actionable recommendation, skill-level feedback, transcript references and full-session replay
What makes it different Most “AI interviewers” today are either niche/single-skill tools or single-modal experiences that don’t generate robust, trustworthy signal. Chakra is designed to be multi-modal (voice, video, IDE, whiteboard) and versatile across roles—while still producing grounded, auditable evidence in every report.
I’d love feedback on: 1. Rubric setup (does it match how you hire?) 2. Candidate experience (does it feel fair and natural?) 3. Report quality (is it truly decision-ready?)
Looks interesting, good luck with your launch! @mayur_moorthy
Report
Maker
@michalhajtas Thank you Michal, do try it, would love to hear feedback!
Report
The candidate experience part is what I'd watch closely. After years of hiring in IT, the biggest risk with AI screening isn't accuracy — it's drop-off. Strong candidates with options won't finish an interview that feels robotic or one-sided. How do you handle the moment when a candidate gives an unexpected answer that doesn't fit neatly into the rubric? Does Chakra adapt the follow-up, or does it stick to the script?
Replies
Hi Product Hunt, I’m Mayur, Senior Product Manager at HackerRank (YC S11).
We built Chakra because early-round screening is breaking: applicant volume is exploding, scheduling takes forever, applications are increasingly AI-polished (or fabricated), and interview integrity issues are rising.
How it works:
1. Configure the role, competencies, and rubric in a chat-based setup
2. Invite candidates via email, a link, or directly through your ATS
3. Chakra conducts a structured voice/video interview and adapts to probe for the signals you need
4. Get an instant report with an actionable recommendation, skill-level feedback, transcript references and full-session replay
What makes it different
Most “AI interviewers” today are either niche/single-skill tools or single-modal experiences that don’t generate robust, trustworthy signal. Chakra is designed to be multi-modal (voice, video, IDE, whiteboard) and versatile across roles—while still producing grounded, auditable evidence in every report.
Request access at: chakra.sh
And If you’re hiring right now, do try this sample FDE interview: https://www.hackerrank.com/interviewer/1enskc0p2qs/session
I’d love feedback on:
1. Rubric setup (does it match how you hire?)
2. Candidate experience (does it feel fair and natural?)
3. Report quality (is it truly decision-ready?)
KeyMentions
Looks interesting, good luck with your launch! @mayur_moorthy
@michalhajtas Thank you Michal, do try it, would love to hear feedback!
The candidate experience part is what I'd watch closely. After years of hiring in IT, the biggest risk with AI screening isn't accuracy — it's drop-off. Strong candidates with options won't finish an interview that feels robotic or one-sided. How do you handle the moment when a candidate gives an unexpected answer that doesn't fit neatly into the rubric? Does Chakra adapt the follow-up, or does it stick to the script?