Over the past several months we’ve been building Shivon AI, a platform aimed at candidates getting ready for interviews. The core idea: let you simulate real interviews with an AI (any domain, any role), generate a detailed performance report, and then share that report as part of your job-application portfolio.
Key features: A chat-based AI interviewer that asks theory, practical usage and case-study style questions. After each simulation you receive a breakdown of your performance across metrics (e.g., communication, problem solving, confidence) with actionable suggestions. You can track improvements over time and share your interview-report as tangible evidence of your prep. We just launched the beta at https://candidate.shivonai.com (no paywall; demo mode available).
Why we built this: We’ve seen how difficult it can be for candidates to highlight their real skills beyond a résumé or LinkedIn profile. Interview preparation often happens in isolation, with no way to measure improvement or share results. Our goal is to make this process measurable, transparent, and empowering for every job seeker.
We’re looking for feedback from the HN community especially around: How realistic/interview-like the AI questions feel (domain-agnostic). Whether the performance report adds value and how it could be improved. Thoughts on sharing such a report as part of a portfolio — does it meaningfully affect job odds, or feel gimmicky?
Happy to answer questions on the architecture, data pipeline, UI/UX, even business model if you’re interested.
Thanks for checking it out — looking forward to the discussion.
Vraj Patel, Shivon AI