Product Introduction

1. Coding Interviews by Hyring is an AI-powered module within Hyring’s AI Interviewer platform that automates technical candidate evaluations through video-recorded coding assessments. It combines real-time proctoring with advanced code analysis to test debugging skills, output prediction accuracy, and full coding capabilities while generating recruiter-focused reports. The system monitors candidate behavior for integrity violations and evaluates code quality, problem-solving efficiency, and optimization potential.
2. The core value lies in replacing manual technical screenings with standardized, bias-resistant evaluations that scale for high-volume recruitment. It reduces hiring time by 81% through concurrent interviews and provides actionable insights into candidates’ technical proficiency. Recruiters gain a unified platform to assess coding skills, detect cheating, and compare candidates using objective performance metrics.

Main Features

1. The AI proctor records candidate video sessions while analyzing screen activity to flag suspicious behavior like tab switching or plagiarism. Real-time integrity signals alert recruiters to potential cheating incidents during live interviews.
2. Candidates complete three-tier coding tests: debugging existing code, predicting output for given algorithms, and writing full solutions from scratch. The system auto-grades submissions based on runtime efficiency, code readability, and adherence to best practices.
3. Recruiters receive structured reports detailing code quality scores (0-100), optimization benchmarks, and problem-solving timelines. Reports include side-by-side candidate comparisons and skill gap analyses aligned with job requirements.

Problems Solved

1. Manual coding assessments consume 260+ hours annually per recruiter and introduce subjective bias in evaluating technical skills. Traditional tools lack integrated proctoring and require separate platforms for coding tests and interviews.
2. Tech hiring managers at mid-to-large enterprises need scalable solutions to screen 500+ applicants per role while maintaining evaluation consistency. Remote-first companies require reliable cheating detection for distributed technical interviews.
3. Use cases include bulk campus recruitment drives requiring standardized testing, remote contractor vetting with code quality benchmarks, and leadership hiring for engineering roles needing optimization expertise evaluations.

Unique Advantages

1. Unlike LeetCode or HackerRank, Hyring combines live video interviews with in-session coding environments, enabling direct observation of candidates’ problem-solving processes. The AI evaluates both technical output and behavioral cues like time management.
2. Proprietary cheating detection algorithms monitor 15+ integrity signals, including eye movement patterns, background noise analysis, and unauthorized device usage. Multi-modal data cross-references video feeds with code submission timestamps to flag discrepancies.
3. The platform supports 10 programming languages natively and integrates with applicant tracking systems (ATS) like Greenhouse via API. Enterprise plans offer custom evaluation rubrics and AI Twins that mimic company-specific coding standards.

Frequently Asked Questions (FAQ)

1. What types of interviews can we conduct? The system supports one-way screenings with fixed coding challenges and two-way interactive sessions where the AI adapts questions based on candidate responses. Dynamic interviews test progressive problem-solving by escalating task complexity mid-session.
2. How many interviews are included in the free trial? The trial provides 1 active interview slot supporting up to 10 candidate responses, with 15-day video retention and access to basic code evaluation metrics. Full report generation requires a paid plan.
3. Can we use predefined coding questions in two-way interviews? No—the AI generates original challenges based on job-specific skills (e.g., Python optimization, API design) from uploaded job descriptions. Recruiters define evaluation criteria rather than specific questions.