Hatchways is a platform that enables companies to conduct technical interviews through customizable assessments using real-world coding tasks, such as pull requests and code reviews, integrated with GitHub. This approach enhances the candidate experience while providing hiring teams with reliable signals of a candidate's practical skills, ultimately improving the efficiency of the hiring process.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional technical interviews often rely on unrealistic coding tests and whiteboard challenges that fail to accurately assess a candidate's practical skills and ability to perform real-world tasks. This leads to poor hiring decisions and a frustrating experience for candidates.
Solution
Hatchways provides a platform for conducting technical interviews using customizable assessments based on real-world coding tasks, such as pull requests and code reviews, integrated directly with GitHub. The platform allows companies to create assessments using their own code or templates, in any language, and evaluate candidates on tasks like bug fixes, feature additions, and code reviews. Hatchways streamlines the grading process with automated tests and cloud deployments of candidate submissions, or the option to leverage human reviewers. This approach provides hiring teams with reliable signals of a candidate's practical skills and improves the candidate experience.
Target Audience
Hatchways primarily targets engineering hiring teams and recruiters looking to improve the efficiency and accuracy of their technical hiring process, and companies seeking to enhance the candidate experience.
Features
- Customizable assessments using real-world coding tasks like pull requests and code reviews
- Integration with GitHub for a seamless candidate experience
- Assessment templates and the ability to upload custom challenges in any language
- Support for various task types, including bug fixes, feature additions, code reviews, and written/video responses
- Automated tests and instant cloud deployments for streamlined grading
- Option to leverage human reviewers for assessment grading
- Integration with ATS systems like Lever, Greenhouse, and Ashby