HackerRank AI features and pricing (September 2026)

HackerRank is a developer skills and technical hiring platform used by engineering and talent teams to run coding assessments, structured interviews and AI-driven screening for software roles, alongside a free practice community where individual developers certify skills.

HackerRank offers five modules: Screen for take-home coding assessments, Interview for live pair-programming sessions, Chakra for automated AI-led screening interviews, Engage for recruiting hackathons, and SkillUp for internal developer upskilling and mobility.

Typical buyers are engineering managers, technical recruiters and learning-and-development teams at software companies. The company is headquartered in Mountain View, California, operates independently with no parent company, and reports over 2,500 corporate customers, including Airbnb, Stripe, LinkedIn, Atlassian and Goldman Sachs, plus more than 26 million registered developers on its free practice and certification side.

• Runs automated AI screening interviewsChakra conducts structured voice or video interviews built from a job description, adapts follow-up questions in real time, and scores responses against a rubric. It flags integrity issues like tab-switching or multiple faces, so recruiters can review evidence-based reports instead of watching every first-round call.
• Prepares candidates through mock interviewsThe AI Mock Interviewer runs practice technical interviews, asks role-relevant coding questions and gives candidates instant feedback before a real assessment. For HR and hiring teams, better-prepared candidates mean fewer dropouts from nerves and more comparable performance across a hiring round.
• Assists and evaluates AI-era coding workThe AI-Assisted IDE gives candidates a guarded coding assistant during take-home tests and an open one with model selection during interviews, then Advanced Evaluation scores code quality and how the candidate collaborated with AI. This gives hiring teams visibility into AI-era coding skills, not just a pass or fail on the output.
• Detects plagiarism and cheating patternsAI-assisted plagiarism detection compares submitted code against a large corpus with a claimed 93 percent accuracy according to the vendor, and separate proctoring analyzes webcam, screen and gaze signals to flag suspicious activity or repeated AI chat use. This gives recruiters a documented integrity record to support pass or fail decisions.
• Maps and closes internal skill gapsInside SkillUp, developers get personalized learning paths and certification tracks tied to specific roles, so managers can see who is ready for internal mobility instead of relying on self-reported skills. This helps HR and engineering leadership fill open roles from within and target upskilling budgets more precisely.

• Chakra and the AI Mock Interviewer are separate products: one automates recruiter-side screening, the other helps candidates rehearse before a human or AI interview.
• Pricing runs in fixed Starter and Pro tiers with a capped number of candidate attempts per year and metered overage fees, not a per-seat or per-hire model.
• Assessment content spans over 7,500 questions at the top tier, plus a growing Prompt Engineering and RAG question set for evaluating AI-era coding skills specifically.
• At our check in September 2026, the platform was available in English only, with no dedicated Germany, Austria or Switzerland page or local hiring integration.

HackerRank is headquartered in Mountain View, California, and names large US customers such as Stripe, LinkedIn, Goldman Sachs and PayPal.

Confirm data hosting before buying: HackerRank uses AWS and Google Cloud with geo-redundancy and contractual clauses for international transfers. Pricing is tiered, with capped candidate attempts plus overage fees. Because Chakra scores voice or video interviews, Illinois requires notice and consent before AI analyzes video interviews. If test scores drive hiring or promotion decisions in New York City, Local Law 144 requires an independent bias audit and a published summary.

• No federal employee privacy law, a state patchwork instead
• NYC requires bias audits for AI hiring tools
• Illinois bans discriminatory AI in employment decisions

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