CoderPad
CoderPad is an online technical assessment and interview software platform that lets hiring teams screen and interview engineers in the candidate's language of choice.
Last updated September 15, 2026
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Overview
CoderPad is a simple yet powerful online technical assessment software that makes it easy to interview in the candidate's language of choice so hiring managers can quickly get a quality signal of an engineer's skills. Founded in 2013 and headquartered in San Francisco, CoderPad serves over 3,800 customers and has hosted more than 4 million technical interviews in 99+ languages. The platform is positioned around realistic, multi-file coding tasks and live paired-programming interviews, and it also offers AI-assisted features and asynchronous video screening through Qualify.
History
CoderPad was founded in 2013 and is headquartered in San Francisco. Its founder, Vincent Woo, a software engineer with experience at companies like Google and Amazon, became frustrated during interviews where it was obvious that developers would have done better if they could just run their code and debug in real time. He designed CoderPad as an alternative to both the antiquated whiteboard and feature-heavy, expensive HR software, giving small startups access to great technology to screen and compete for talent and giving large companies the ability to reliably collaborate via live paired-programming interviews with candidates all over the world. The company grew rapidly via word of mouth from happy developers. CoderPad serves over 3,800 customers and has hosted more than 4 million technical interviews in 99+ languages.
Products and positioning
A platform for realistic, skill-based technical hiring that reflects real engineering work rather than quizzes, used by engineering teams to screen and interview candidates.
CoderPad online technical assessment software
A simple yet powerful online technical assessment software that makes it easy to interview in the candidate's language of choice.
Qualify
Gives every applicant a first interview using candidate-submitted video responses and an AI reviewer, turning submissions into a ranked, high-signal shortlist.
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