founder at hunr.ai

github

Amartya Gaur • Peerlist

<h3>Hunr is a cutting-edge platform designed to revolutionize the engineering hiring process. It empowers teams to discover and recruit top engineering talent by focusing on the actual code candidates write. Hunr aims to provide a fairer evaluation process, reducing the reliance on endless sourcing and costly interview loops.</h3><ul><li>Practical Coding Challenges: Hunr crafts role-specific coding challenges that mirror real-world tasks, taking into account your job description, seniority level, engineering standards, and business context.</li><li>Deterministic Tests: Submissions are evaluated against specific rubrics, assessing correctness, architecture, maintainability, product judgment, and execution quality, ensuring objective assessments.</li><li>AI-Backed Repository Reviews: Beyond coding challenges, Hunr leverages AI to analyze candidate repositories, providing deeper insights into their work and potential.</li><li>Streamlined Workflow: The platform guides users through a clear workflow: challenge creation, candidate submissions, gateway screening with automated tests, AI-driven repository analysis, and finally, an interview shortlist and decision-ready close.</li><li>Sharper Signal: Hunr addresses the inherent noise in traditional hiring methods, such as resume shortlisting and generic tests, by providing a more accurate signal of a candidate's ability to ship meaningful code.</li></ul>Hunr is built for enterprise hiring teams that need a more effective way to evaluate engineers based on their implementation skills. The two-stage evaluation process, combining gateway tests and AI repo analysis, ensures that only the most qualified candidates reach the final stages.