HackerEarth
skills evaluation platform
428 followers
skills evaluation platform
428 followers
HackerEarth is a skills intelligence platform helping companies identify, evaluate, and hire top engineering talent. Trusted by global enterprises, it powers a community of 10M+ developers and leverages 150M+ assessments across 1,000+ skills and 40+ programming languages. The platform combines automated screening, structured interviews, and rubric-based evaluations for faster hiring and deeper workforce intelligence — and serves as a trusted benchmark for AI model performance.
This is the 18th launch from HackerEarth. View more
HackerEarth OnScreen
Launched this week
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.
Free
Launch Team
HackerEarth
@zahra_khan_hackerearth 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.
RiteKit Company Logo API
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?
Interesting objective hiring in coding interviews is still a huge problem.
How do you balance standardization with letting candidates show creativity?
HackerEarth
@judit10 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 — 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.
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.
Robynn AI
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.
HackerEarth
@madhukar_kumar1 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 — 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!
I was just reading today that the EU AI Act comes into force this summer, and it includes fines for mechanisms like yours. Even if a company is not registered in the EU, if there is at least one user from the EU, the startup is automatically at risk. How are you handling this?
applied to three jobs over a long weekend once. heard back from one by tuesday — not fit, just timing. the sunday night problem is real.
HackerEarth
@jiang_nancy We're glad you resonate with this Jiang.