# Tracy vs HackerEarth AI Interview Agent (Nov 2026) > HackerEarth AI interview vs Tracy AI Interviewer for technical hiring: follow-ups, ID checks, ATS, evidence and price, and where each one wins. - URL: https://tracyinterview.ai/compare/tracy-vs-hackerearth - Published: 2026-11-11 - Author: Tracy team > **In short** Verdict: for a technical first round, Tracy AI Interviewer shows how each applicant reasons. She asks own-field follow-ups, can run a coding task inside the interview, and leaves a recording and an assessment per question. > > HackerEarth wins when you need ID checks with face match, full proctoring, native ATS connectors or one vendor for assessments and live panels. > > Next: test both on one role. We make Tracy AI Interviewer. This comparison is for engineering and talent leads who screen technical people at volume, including platforms that vet specialists for AI work. HackerEarth's AI interviewer, OnScreen, interviews candidates through a lifelike avatar while they write code in a live editor. Tracy AI Interviewer runs a two-way video interview, asks the next question from what the person just said, and leaves evidence behind every result. ## What does the HackerEarth AI interview agent do well? OnScreen verifies identity before the interview with a government ID, face match and live presence detection, then runs behavioral monitoring, AI-answer detection and deepfake detection through it. It adapts its questions to each answer inside a fixed framework, so the same skills are probed and the same rubric applied to every candidate, and for technical roles the candidate writes real code in a live IDE while the avatar asks about it. HackerEarth says it does not analyze facial expressions, body language, tone or sentiment. Add native Workday, Greenhouse, Lever and Ashby connectors, SOC 2 Type II and five ISO standards on its Trust Center, and one customer interviewing 2,000+ candidates in a weekend, and it is a serious option for regulated and high-fraud hiring. ## HackerEarth vs Tracy: buyer criteria side by side Rival column: HackerEarth's own pages, read 9 Nov 2026. Tracy column: approved Tracy product records. Not stated and Not verified mean the page does not say, not that it is absent. | Criterion | Tracy AI Interviewer | HackerEarth OnScreen | Who leads | | --- | --- | --- | --- | | Interview depth | Follow-ups in the person's own field, waiting for the answer. Questions from the job description or your own list. A coding task (live coding, SQL, debugging) inside the interview with follow-ups on approach and trade-offs. | Adaptive follow-ups in a deterministic framework: same skills, same rubric. Real code in a live IDE while the avatar probes it. | Level on coding. Tracy on own-field questions; HackerEarth on a calibrated coding library. | | Volume and start | Each applicant starts on click, at any hour. Ready in under 10 seconds. Rejoin within 10 minutes, configurable per customer. | Candidates interview whenever ready. Plans cap invites at 10 or 50 a month. | Tracy, because pay as you go has no invite allowance to outgrow. | | Evidence per result | Recording of both sides, timestamped transcript, assessment per question with reasoning. Candidates ranked against each other; a record shareable by link or PDF. | Scores on your rubric, transcript with exchanges highlighted, the code, integrity signals, recording and playback. | Level on what is published. | | Identity and integrity | Signals for a reviewer: tab changes, gaze, live face detection, delay before answers, fullscreen exits and external screens. Identity checks against a government ID: Not stated. | Government ID, face match, live presence, deepfake detection and a full proctoring stack. | HackerEarth. | | Price | $1 per credit, one credit per started 20 minutes. First 3 results free. No seats, no upfront cost. | OnScreen from $129 a month for 10 invites, $499 for 50. Enterprise on request. | Tracy for a price that follows usage. | | ATS and stack | API and MCP (ChatGPT, Claude, Mistral, Gemini, Copilot Studio), Slack, WhatsApp and Zapier, and use beside the Workable and Breezy HR connectors. | Native Workday, Greenhouse, Lever and Ashby connectors, plus an API. | HackerEarth on ATS depth. Tracy on chat tools and automation. | | Security, support and implementation | SOC 2 Type II attested, report on request at hello@tracyinterview.ai. Enterprise: dedicated customer manager, support channel, setup customised in days. | Lists SOC 2 Type II, five ISO standards, and GDPR, CPRA and DPDPA. Premium support on Scale; account manager and SLAs on Enterprise. | HackerEarth lists more standards. Level on support. | | Accessibility and languages | Accessibility: Not stated. A spoken-language check scores fluency, coherence, grammar, pronunciation and vocabulary from 0 to 100. | Lists ADA among its standards and multi-language support. Details Not verified. | Tracy for the spoken-language check. | | Validation, bias controls and oversight | A person decides and can override a result. Tracy publishes no bias audit. | Says it runs adverse-impact studies and validates scoring with industrial-organizational psychologists; the decision stays with your team. | HackerEarth documents more. | ## How the published workflows differ for the same technical role Take one invented role, a senior backend engineer on a payments team. The table sets HackerEarth's published description of an OnScreen interview beside an illustration of a Tracy interview with a fictional candidate. The Tracy column is not a recording of a real interview. How the published workflows differ for the same technical role. The Tracy column is an illustration. | Step | HackerEarth OnScreen (from its pages) | Tracy (illustration) | | --- | --- | --- | | Before the interview | The candidate confirms identity with a government ID, face match and live presence detection. | The candidate opens a link in a browser, with no account, and is told on the join screen that the conversation is recorded and transcribed. | | Interview | A lifelike avatar asks adaptive questions by voice and video while the candidate writes code in a live IDE. | Tracy opens a coding task inside the same interview and asks about the approach as the code appears. | | Follow-up | The avatar probes reasoning and edge cases inside a deterministic framework. | She asks about what the candidate just said, waits for the end of the thought, then asks the next question. | | What you receive | Scores, transcript, code, integrity signals and a recommendation, with the decision left to your team. | A recording of both sides, a timestamped transcript, an assessment per question with its reasoning and integrity signals with evidence. | ![Recreated Tracy result: answers with timestamps, a highlighted reply and the follow-up question in the transcript.](/blog/images/tracy-vs-hackerearth-1.png) *Tracy keeps the follow-up beside the answer it came from, with a recording and a timestamped transcript behind the result, so a reviewer can check it. Illustration with sample data* A recording and a timestamped transcript sit behind the result, with the follow-up in context. ## Do Tracy's follow-ups show more than a fixed framework? Both tools say they follow up. HackerEarth's design makes answers comparable and scores against a library calibrated on 150M+ evaluated solutions, a benchmark not stated for Tracy. Tracy asks the questions you set for the role, then follows up on what the person just said. A Director at a top-tier early-stage VC says, "Tracy sometimes brings up exactly those questions I might have forgotten to ask, which has been a pleasant surprise." A chain Tracy could run on that role, with an invented candidate: > Tracy: Your limiter keeps every call in a list. What happens to memory for an idle client? > > Candidate: It grows, so I would drop calls older than the window when a new one arrives. > > Tracy: How do you drop them without scanning the whole list each time? The second question shows how the person thinks about cost. Run both tools on your own role and check whether the second question depends on the first answer. Read [AI technical interviews](/blog/ai-technical-interviews) for the mechanics. ![Three lines of a sample interview: Tracy asks about idle client memory, the candidate answers, Tracy asks a follow-up.](/blog/images/tracy-vs-hackerearth-2.png) *Tracy builds each follow-up on the candidate's last answer, so the transcript shows depth a fixed list would miss. Illustration with sample data* The second question builds on the first answer instead of moving to the next item on a list. ## Can a reviewer check a HackerEarth or a Tracy result? Both give a reviewer something to open, and a person decides in both. HackerEarth verifies identity before the interview and runs its proctoring stack through it. Tracy works inside the conversation: she captures tab changes, gaze, live face detection, delays before answers, fullscreen exits and external screens, and shows the evidence to a person. These are signals to interpret, not proof of cheating, and nothing is decided in the interview. Candidates are told on the join screen that the conversation is recorded and transcribed. See [AI interview reports](/blog/ai-interview-reports) and the [participant experience](/participant-experience). ## Does Tracy hold up at volume? One customer cut its average time to hire from 44 days to 7, and Tracy did the work of 53 full-time recruiters in one month. See [hiring at volume](/use-cases/volume-hiring). ## What do HackerEarth and Tracy cost? HackerEarth's OnScreen is $129 a month for 10 interview invites or $499 for 50, or $1,290 and $4,990 a year, with a 30-day free trial on the Growth plan and Enterprise on request. Coding assessments are a separate subscription. Tracy charges $1 per credit for each started 20 minutes of an interview that produced a result, so a 45-minute interview costs $3. The first 3 results are free, there are no seats, and a session with no answers is never charged. Over a year, 100 interviews of 45 minutes cost $300 on Tracy against $1,290 for the cheapest OnScreen plan that covers them. See [Tracy's pricing](/pricing) and [AI interview cost](/blog/ai-interview-cost). ## How do you test both before you commit? Run one role, one team and two weeks. Pick a technical role with at least 20 expected applicants. Ask HackerEarth for a live OnScreen run on it. In Tracy, describe the role and edit the drafted questions, or send us the role and we build the plan; the first 3 results are free, so run the role in Tracy and compare the follow-ups and the report. Have one reviewer read the reports from your next 20 applicants and count the follow-ups that landed, the results verified from the recording in under a minute, and the cost per interview. Which path fits you: - Technical hiring: [technical interviews](/use-cases/technical-interviews). - High-volume hiring: [volume hiring](/use-cases/volume-hiring). - Subject experts: [expert vetting](/use-cases/expert-vetting). - Your stack: [Connect](/connect) lists the integrations. ## Common questions ### Does the HackerEarth AI interviewer ask follow-up questions? Yes. HackerEarth says OnScreen adapts to each response inside a fixed framework and asks about the code written in a live IDE. Tracy also asks follow-ups in the candidate's own field and runs a coding task inside the interview. ### Does HackerEarth verify who the candidate is? Yes. OnScreen uses government ID verification, face match and live presence detection before the interview. Tracy shows integrity signals with evidence to a reviewer; identity checks against a government ID are Not stated. ### Is Tracy better than HackerEarth? HackerEarth is better for identity verification, proctoring depth and native ATS connectors. Tracy is better when you want questions that follow each answer, a recording of both sides behind every result, and a price per interview. ### How much does HackerEarth cost compared with Tracy? OnScreen plans start at $129 a month for 10 invites. Tracy is $1 per credit, so 100 interviews of up to 20 minutes cost $100, and the first 3 results are free. ### Is Tracy secure enough for our candidate data? Tracy is SOC 2 Type II attested, and the report is available on request at hello@tracyinterview.ai. HackerEarth lists more standards, including five ISO standards. --- Run one role in Tracy and compare the follow-ups and the report: send us the role and we build the interview plan, customised in days, with a recording and report you can check. [Book a demo](https://cal.com/tracy-ai/tracy-demo-web?utm_source=blog&utm_medium=seo&utm_campaign=tracy-vs-hackerearth&utm_content=demo) ยท [Try it free](https://tracyinterview.ai/connect?utm_source=blog&utm_medium=seo&utm_campaign=tracy-vs-hackerearth&utm_content=try-free) ## Sources - [HackerEarth, OnScreen pricing](https://www.hackerearth.com/ai/pricing), retrieved 9 Nov 2026. - [Tracy AI Interviewer, Pricing](https://tracyinterview.ai/pricing), retrieved 9 Nov 2026. - [Tracy AI Interviewer, Connect](https://tracyinterview.ai/connect), retrieved 9 Nov 2026. - [Tracy AI Interviewer, home](https://tracyinterview.ai/), retrieved 9 Nov 2026.