Introducing HackerEarth OnScreen: AI-powered interviews, around the clock
Tech hiring has a blind spot, and it's not the resume pile, the take-home tests, or even the interview itself. It's the gap between when a great candidate applies and when your team is available to talk to them. That gap costs you more top talent than any competitor does.
Today, HackerEarth OnScreen closes it permanently.
The real cost of scheduling friction
Most companies assume they lose candidates to better offers. The data tells a different story.
A developer weighing two opportunities almost always moves forward with the company that responded first, not the one that sent a calendar invite for Thursday. AI-generated resumes have flooded inboxes, making screening harder. Engineering teams the people best positioned to evaluate technical depth have limited hours. Recruiters are under pressure to move faster while maintaining quality.
Something had to change.
What OnScreen does
OnScreen doesn't just automate scheduling. It conducts the interview.
A candidate who applies at 11 PM gets a full interview before Monday morning through lifelike AI avatars with built-in identity verification and proctoring. The experience is a genuine two-way conversation: dynamic, adaptive, and role-calibrated. This is not a chatbot filling out a scorecard.
One enterprise customer screened more than 2,000 candidates in a single weekend with complete consistency and zero interviewer bias.
"Recruiters are under pressure more than ever. The volume of applicants has surged, AI-generated resumes have made initial screening harder, and the risk of missing the right candidate keeps climbing. OnScreen was built so that no qualified candidate is overlooked because nobody was available to interview them."
— Vikas Aditya, CEO, HackerEarth
Three capabilities, combined for the first time
In-depth interviewing that evaluates reasoning, not recall.
OnScreen conducts dynamic technical conversations that adapt to how each candidate responds. It probes the depth of knowledge, follows threads, and evaluates the quality of thinking behind each answer not just whether the answer is correct. Every interview runs on a deterministic framework: the same structure for every candidate and no panel-to-panel variation.
Integrated proctoring, built in from the start:
Enterprise-grade proctoring is woven directly into the interview flow not bolted on as an afterthought. Legitimate candidates won't notice it. The ones who shouldn't be in your pipeline will.
KYC-grade candidate verification
OnScreen brings identity verification standards from financial services into technical hiring. Proxy candidates, resume misrepresentation, and skills that don't match the application – all three gaps were closed at the source.
What hiring teams are saying
"Before OnScreen, we had no reliable way to measure candidate quality, especially with the rise of AI-generated CVs. Now, screening is far more objective. Roles that previously took much longer are now being closed within three to four weeks."
— Pawan Kuldip, Head of Human Resources, Discover Dollar Inc.
Built for everyone in the process
For engineering teams:
Fewer hours on screening calls. Senior engineers focus on final-round conversations, not first-pass filters.
For recruiters:
Pipelines that move. Candidates evaluated and scored before the week starts.
For candidates:
A consistent, skills-first experience, regardless of when they apply or where they're located.
OnScreen integrates directly into HackerEarth's existing platform alongside Hiring Challenges, Technical Assessments, and FaceCode. It extends your interviewing capacity without adding headcount.
The hiring bar just got higher. Everywhere.
Top talent expects swift, fair processes. Companies that deliver both, at scale, around the clock, will hire the engineers everyone else is still scheduling calls about.
OnScreen is now live for enterprise customers. Request access at hackerearth.com/ai/onscreen.
HackerEarth powers technical hiring at Google, Amazon, Microsoft, and 500+ global enterprises. The platform supports 10M+ developers across 1,000+ skills and 40+ programming languages.


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