Proprietary venture deep-diveWe engineered JustInterview.ai to eliminate screening bottlenecks across our own 110+ engineering pods. Today, it runs 24/7 on-camera AI interviews, in-browser Vibe coding sandboxes, and automated candidate scorecards for startups and global enterprises.
Hiring 110 engineers through fragmented multi-tool hiring stacks drained tech lead bandwidth and slowed delivery. Here is what broke.
The 500-Resume Screening Drain on Tech Leads
Senior engineering leads were spending 25+ hours every week manually skimming resumes across LinkedIn, Naukri, and email. Over 75% of applicants lacked fundamental stack proficiency.
Unstandardized First Rounds & Scheduling Friction
Initial 45-minute technical screeners suffered from subjective interviewer bias, scheduling bottlenecks across time zones, and inconsistent evaluation criteria that let good engineers slip through.
LeetCode Memorization vs Real AI-Assisted Engineering
Traditional platforms (HackerRank, Codility) tested isolated algorithmic puzzles in artificial zero-AI environments — failing to evaluate how modern developers actually build software using AI tools.
Candidates get a built-in AI copilot for the whole session. Code correctness, runtime performance, and prompt architecture are graded together.
Real distributed problems with automated test harnesses instead of LeetCode trivia.
Sub-millisecond container runtimes with strict zero-network isolation policies.
Prompts to the built-in AI copilot are graded for engineering judgment vs blind pasting.
A session does not move through media, then execution, then evaluation — all three run at once and have to agree at the end. Select a plane to read what makes it difficult and the property it is not allowed to break.
Candidate Joins
Single browser connection streaming audio, video & IDE input.
Signed Dossier
Immutable audit score sent directly to ATS.
System architecture, code quality, problem-solving, and communication collapsed into a single defensible scorecard.
Rohan Mehta
Staff Backend Architect
One unified system replacing 6 disparate recruitment tools. See how 342 applicants convert into 4 accepted offers.
342 applied. Humans met 3.
6 of 7 stages run without a personDeep semantic parsing scores 500 resumes against core stack criteria with full explainability.
87 Screened (Top 25%)
The steep drop happens in the first two stages, and it happens in minutes — which is why the panel round is three people in a room rather than a quarter of the intake.
Measured across 10,000+ candidate sessions and our own 110-person engineering team scaling cycles.
| Hiring Metric | Traditional Multi-Tool Stack | JustInterview.ai Platform | Improvement |
|---|---|---|---|
| Time-to-Hire (Engineering) | 28 Days | 4 Days | -85.7% |
| Tech Lead Screening Hours | 25 hrs/week | 1.5 hrs/week | -94.0% |
| First-Round Consistency | Subjective (62%) | Objective Rubric (98.4%) | +36.4% |
| Cheating & Proxy Detection | Manual / Bypassed | 99.4% Sandboxed Defense | Zero Proxies |
| Candidate Completion Rate | 44% (Long delays) | 88.6% (24/7 Scheduling) | 2x Completion |
Built to hire our own 110-person engineering team without recruiter sprawl, then productised into a live global SaaS platform.
JustInterview.ai is available globally as self-serve SaaS with flexible solo, team, and enterprise tiers. Live plans and trials are published on justinterview.ai.
This page is the engineering account — the architecture, the evaluation core and the decisions behind them. The product itself, with current plans and a live demo, lives on its own site.
What JustInterview.ai delivers
- Bulk Resume Fit Scoring (500 resumes in < 2 mins)
- Adaptive On-Camera AI Video Interviews (24/7)
- Vibe AI In-Browser Code Sandboxes & Test Runners
- Anti-Cheat Forensics & AST Keystroke Verifiers
- Multi-Campus Recruitment Drive Management
- Automated Offer Letter & Approval Workflows
