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Zahra K

HackerEarth OnScreen - An always-on, zero-bias AI hiring tool

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HackerEarth
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Introducing HackerEarth OnScreen, an AI hiring tool powered by always-on, zero-bias interview agents. OnScreen uses lifelike video avatars to create genuine two-way interactions, making every interview feel like a real conversation. These agents show up for every candidate, every time, never cancelling, never drifting, and never showing bias. With a smart browser, real-time video proctoring, and AI-likeness detection, OnScreen ensures every interview is verified and truly cheat-proof.

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Zahra K
Maker
πŸ“Œ
Hi Makers! πŸ‘‹ We're thrilled to launch HackerEarth OnScreen, an AI hiring tool powered by always-on, zero-bias interview agents. Here's something we're proud of: before today's launch, a customer had already used OnScreen to screen 2,000 candidates in a single weekend. No fanfare. No big announcement. Just the product working. That's what OnScreen was built for. Hiring breaks down not because of bad intentions but because human interviewers have limits. Mood, fatigue, scheduling conflicts, and time zones. Every one of those variables introduces inconsistency that hurts both companies and candidates. OnScreen removes those variables: 🎯 Deterministic β€” every candidate evaluated against the same bar, every time πŸ• Always-on β€” runs 24/7/365, so a Sunday night applicant is interviewed before Monday morning 🧠 Lifelike avatars β€” real two-way conversations, not robotic form fills πŸ”’ Cheat-proof β€” KYC-grade identity verification, real-time proctoring, AI likeness detection The best candidates don't wait for Monday morning. Neither should your hiring process. We'd love to hear: what's the most frustrating part of your current interview process? We're here all day. πŸ™Œ
Md Mijanur Molla

@zahra_khan_hackerearthΒ The best candidates don't wait for Monday morning." – this line hit me. So true.
I've seen great people drop out just because the interview loop took two weeks. This feels like a genuine fix, not just AI hype. Nice work.

Jiang Nancy

applied to three jobs over a long weekend once. heard back from one by tuesday β€” not fit, just timing. the sunday night problem is real.

Zahra K
Maker

@jiang_nancyΒ We're glad you resonate with this Jiang.

Judit

Interesting objective hiring in coding interviews is still a huge problem.
How do you balance standardization with letting candidates show creativity?

Zahra K
Maker

@judit10Β Great question, Judit! Standardisation and creativity don't have to be at odds. OnScreen uses structured interviews to ensure every candidate is evaluated on the same parameters β€” eliminating bias from the process. But within that structure, candidates still have room to approach problems their own way. We assess how they think, not just what they answer. The consistency is in the evaluation, not the creativity.

Gaurav Singh Bisen

The "always-on, zero-bias" approach here is a genuine step forward for hiring. The fact that a customer screened 2,000 candidates in a single weekend before launch says everything β€” this isn't vaporware, it's a working product solving a real problem. The combination of lifelike avatars for authentic conversations, KYC-grade identity verification, and real-time proctoring makes OnScreen stand out from the usual batch of AI hiring tools. Congrats on the launch, team HackerEarth! πŸš€

Vishwastam Shukla

@thepmfguyΒ Thanks Gaurav

Gaurav Singh Bisen

The 'always-on, zero-bias' approach here is a genuine step forward for hiring. The fact that a customer screened 2,000 candidates in a single weekend before launch says everything, this isn't vapor ware, it's a working product solving a real problem. The combination of lifelike avatars for authentic conversations, KYC-grade identity verification, and real-time proctoring makes OnScreen stand out from the usual batch of AI hiring tools. Congrats on the launch, team HackerEarth! πŸš€

Zahra K
Maker

@thepmfguyΒ Thanks, Gaurav. Your support means a lot.

Madhukar Kumar
Maker

For a recruiter who is now seeing the number of applicants double/triple and each resume feels like it has been tailored to the job description, this is a game changer. The fact that it does not get tired and can screen a candidate even on a Friday night without any prejudices means every candidate gets the same experience. I think this will significantly change the way resume screening is done today.

Zahra K
Maker

@madhukar_kumar1Β Madhukar, this is exactly the problem we set out to solve. When every resume looks perfectly tailored and volumes are through the roof, the bottleneck shifts to screening β€” and that's where bias and fatigue creep in. OnScreen doesn't have bad days. Friday night, Monday morning, it shows up the same way every single time. Really glad it resonates with you!

Mykola Kondratiuk

how does it handle candidate stress? high-stakes assessment triggers nervous system dysregulation - performance in fight-or-flight looks nothing like baseline. curious if the scoring model accounts for this.

Aron

Interesting, does it only do English interviews or can it take the interview in other languages as well?

Vishwastam Shukla

@0xaronΒ We support more than 40 languages.

Arpit Mishra

Congrats on the launch team. This is really great

Vishwastam Shukla

@arpitmishraΒ Thanks Arpit.

Saul Fleischman

Congrats on the launch! This is impressive scale - 10M developers and 150M assessments is substantial. I'm curious about the AI model benchmarking piece you mentioned. How are companies currently using HackerEarth's assessment data to validate their own AI models? Is that becoming a significant part of your revenue mix?

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