The platform that turned coding contests into a way to hire - and is now betting the same audience on AI-driven interviews.
HackerEarth's logo, rendered on navy - the mark that has watched over millions of submitted solutions since 2012. Founded in Bangalore, headquartered in San Francisco.
HackerEarth sells software for one of the hardest problems in software: deciding who can actually build. Its tools let companies pose real coding problems, watch candidates solve them in a live editor, and increasingly hand the first interview to an AI. Behind that product sits something most competitors lack - a community of millions of developers who were already practicing, competing, and getting certified on the platform long before an employer came looking.
The company began in 2012 as MyCareerStack, a social layer for technical interviews built by two IIT Roorkee graduates, Sachin Gupta and Vivek Prakash. Within a year they pivoted to what the market actually paid for: automated technical assessment. That rebrand - to HackerEarth - set the shape of the business. Coding tests and hackathons drew developers in; enterprises paid to reach and evaluate them.
More than a decade later the mechanics are familiar to any engineer who has job-hunted. A recruiter sends a coding assessment. A hiring manager runs a live-coding round in FaceCode. Now, an AI Interviewer or the newly launched OnScreen avatar may run the first structured screen entirely on its own, complete with identity verification and proctoring. The through-line has never changed: measure skill directly, not the resume around it.
On the paying side are enterprise recruiters and engineering teams - reportedly more than 750 organizations, including Amazon, PayPal, Walmart Labs, Thoughtworks, HP, Intel, Barclays, Wipro, VMware, GE, and Societe Generale. They share a common headache: technical roles attract huge applicant volumes, and traditional filters - degrees, referrals, keyword-matched resumes - are poor predictors of who can write working code.
On the supply side are the developers themselves, a community reported to have grown from roughly four million to more than ten million. They come for practice problems, tutorials spanning data structures to machine learning, and contests. That pool is what gives the paid products their weight: employers aren't just buying a testing tool, they're tapping a place where technical talent already gathers.
The problems it solves are practical: shrinking a flood of applicants to a shortlist worth interviewing; standardizing how skill is judged so decisions are comparable; and - the newest challenge - keeping assessment meaningful in a world where AI can generate plausible code on demand.
ISO-certified automated coding assessments across many languages and roles - the original product and still the core.
Live coding interviews in a collaborative editor with AI-assisted insights and advanced proctoring.
AI-driven tools that run structured technical interviews and screen candidates end to end.
An always-on AI interviewer using lifelike avatars, with built-in identity verification and proctoring.
End-to-end hackathons, programming challenges, and coding competitions for companies and the community.
Free tutorials and practice problems from algorithms and math to Python and machine learning.
The obvious comparison is HackerRank, alongside Codility, CoderPad, CodeSignal, DevSkiller, and iMocha. Most compete on the quality of the testing engine. HackerEarth's distinguishing bet has been to pair that engine with a genuine developer community and event platform - hackathons, contests, practice - so hiring and community feed each other. Few rivals run both sides at scale.
Its second differentiator is timing. Rather than defend coding tests against AI-generated code, HackerEarth moved its product roadmap toward AI-run interviews and evaluation, using large volumes of assessment signals to inform screening. Whether that repositioning holds is an open question - but it is a deliberate one, underscored by a 2025 leadership handoff aimed squarely at the AI era.
HackerEarth is B2B SaaS. Enterprises pay subscription fees for access to its assessment, interview, and hackathon products, typically priced by seats, assessment volume, or usage. The free community layer - practice and contests - is the top of the funnel: it builds awareness, supplies the talent pool, and gives the paid products something competitors can't easily copy. Notably, the company reached roughly $36M in reported ARR having raised only $11.5M in disclosed funding - growth driven more by revenue than by rounds.
Sachin Gupta and Vivek Prakash launch a social platform for technical interviews; join the first GSF Accelerator batch.
Rebrands to HackerEarth and launches automated technical assessment alongside contests and practice.
Raises $4.5M led by DHI Group to expand its recruiting products and enterprise reach.
Raises $6.5M led by the Jo Hirao family office, bringing total disclosed funding to $11.5M.
Scales FaceCode and remote video interviewing as hiring goes distributed.
Reports ~$36M ARR and rolls out AI Screener and AI Interviewer tools.
Sachin Gupta becomes Executive Chairman; Vikas Aditya is appointed CEO to lead the AI-hiring strategy.
Introduces an always-on AI interview tool with lifelike avatars, identity verification, and proctoring.
HackerEarth's expertise sits at the intersection of assessment science and community building: designing problems that discriminate between real skill levels, running them securely at scale with proctoring, and analyzing the results to rank and benchmark candidates. That competence now extends into AI-assisted evaluation, drawing on a large history of assessment signals.
In the market, it occupies the developer-focused corner of HR tech - narrower than general applicant-tracking systems, deeper than generic testing tools. Its rise traces India's software-services boom and the global shift toward skill-based, remote hiring. The current test is whether an audience built for coding contests can carry the company through an AI-native reinvention.