Hiring • Productivity • AI
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.
Deterministic Tests: Submissions are evaluated against specific rubrics, assessing correctness, architecture, maintainability, product judgment, and execution quality, ensuring objective assessments.
AI-Backed Repository Reviews: Beyond coding challenges, Hunr leverages AI to analyze candidate repositories, providing deeper insights into their work and potential.
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.
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.
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.
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