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Hireinator helps companies test, grade, and hire developers for the AI era. Instead of fighting AI-assisted cheating on take-home tests, Hireinator measures the skill that actually matters now: how well a candidate works with AI. In agentic AI interviews, candidates collaborate with an AI pair-programmer that can confidently introduce a flaw, and Hireinator grades whether they catch it, how they communicate, and how they make decisions.
The platform covers the full screening funnel. AI resume screening ranks hundreds of resumes against your job description with fit summaries, strengths, gaps, and red flags. Bulk invites work from any spreadsheet, AI maps your columns automatically. MCQ screening is free and unlimited. Coding challenges run in a real in-browser IDE with automated test-case execution across Python, JavaScript, TypeScript, Java, C++, and C. AI grading produces skill sub-scores for quality, efficiency, and readability, with a skills radar for every candidate.
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hireinator's answer:
Most assessment platforms treat AI as a cheating problem to detect and block. Hireinator flips this: candidates work with an AI pair-programmer, and we grade how well they direct it. The AI can confidently introduce a subtle flaw in its own code whether the candidate catches it, tests it, or ships it is the signal. Integrity checks still exist, but they're kept strictly separate from skill scores, so a human always makes the final call with full context.
hireinator's answer:
Two reasons,
Relevance: traditional coding tests measure how developers worked before AI assistants, Hireinator measures how they work now every transcript is server-verified and graded on reasoning, verification habits, and decision-making, not just final code.
Pricing: no subscriptions or seat fees. You pay only when a candidate actually takes an assessment, MCQ screening and interviewer seats are free forever, and your first candidates are free. For teams hiring a few developers a year, that's a fraction of the cost of a HackerRank or CodeSignal subscription.
hireinator's answer:
Startups, IT services firms, and staffing agencies that hire software developers, especially teams screening at volume, like campus and fresher drives in India. The day-to-day users are founders, engineering managers, technical interviewers, and recruiters.
hireinator's answer:
Hireinator started from a simple observation,
Every developer now works with AI, but hiring still tests them as if they don't. Take-home tests are quietly completed by ChatGPT, and platforms respond with an arms race of cheating detection.
We thought the honest answer was to change what's being measured, let candidates use AI openly, and grade the skill that actually predicts job performance in 2026: how well they direct, verify, and challenge an AI collaborator. The platform was built founder-led, end to end, and launched in 2026.
hireinator's answer:
Go (Gin, GraphQL), React with TypeScript, PostgreSQL, Redis, Monaco Editor, Judge0 for sandboxed code execution across multiple languages, and large language models for resume screening, agentic interviews, and grading.
Based on our record, CodeForces seems to be more popular. It has been mentiond 82 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Your preparation should not be random. Platforms like LeetCode, Codeforces, and GeeksforGeeks are toolsโbut what matters is how you use them. - Source: dev.to / 4 months ago
Most people who do competitive programming have moved to: . - Source: Hacker News / 7 months ago
At first, the problems on platforms like Codeforces felt overwhelming. But after a few rounds, I realized something important:. - Source: dev.to / 11 months ago
Check it out and start competing today: https://codeforces.com/. - Source: dev.to / 11 months ago
The researchers created their dataset from CodeContests and public Codeforces solutions, enriched with metadata. For supervised fine-tuning, they structured the data as prompt-completion pairs, using problem statements as prompts and solutions as completions. The balanced dataset contained 1.2 million samples, each averaging 1,500 tokens. - Source: dev.to / over 1 year ago
LeetCode - Practice and level up your development skills and prepare for technical interviews.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Codechef - CodeChef is a not-for-profit educational initiative by Directi, an Indian software company. It is a global programming community that fosters learning and friendly competition, built on top of the worldโs largest competitive programming platform.
Testlify - Hire the best, every time, anywhere.
AlgoExpert.io - A better way to prep for tech interviews
Harver - AI-powered pre-hiring assessment & talent matching solution