poteto/hiring-without-whiteboards

⭐️ Companies that don't have a broken hiring process

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poteto/hiring-without-whiteboards has 52k+ stars and 3.5k+ forks on GitHub, is written in JavaScript, and was last pushed on Sep 24, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 48 minutes ago
Type:Curated List / Learning ResourceCategory(s):General Awesome Lists & DirectoriesLearning & Resources
Added to GitGenius on August 31st, 2026
Created on March 15th, 2017
Open Issues & Pull Requests: 10 (+0)
GitHub issues: Disabled - open counts may still include pull requests.
Number of forks: 3,970
Total Stargazers: 52,763 (+0)
Total Subscribers: 936 (+0)

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Detailed Description

Hiring Without Whiteboards is a curated list of companies that conduct technical interviews without relying on CS trivia questions, algorithmic puzzles, or abstract problem-solving exercises.

The project addresses the problem that traditional whiteboard interviews often test knowledge disconnected from actual development work rather than assessing practical engineering ability. It maintains a community-driven directory of organizations that have adopted alternative interview approaches, such as pairing sessions on real-world problems, take-home exercises, or discussions centered on day-to-day technical challenges. The list distinguishes between these substantive approaches and the kinds of abstract questions associated with platforms like HackerRank or LeetCode, treating the latter as indicators of interview practices that don't reflect how engineers actually work.

Job seekers evaluating companies should use this list to identify organizations with hiring processes aligned to practical problem-solving. It suits anyone looking to avoid interviews that emphasize CS trivia or brainteasers and who wants to work somewhere that values applied skills. The project also includes a "Duds" section where contributors can flag companies whose actual interview practices diverge from their listed descriptions, providing a mechanism to keep information accurate as hiring practices change.

The project maintains an open contribution model where anyone can propose additions or corrections through pull requests. It includes documented recommendations for conducting better interviews, giving the community a shared standard for what constitutes a substantive technical interview. The repository actively solicits feedback from candidates who have recently interviewed at listed companies, treating firsthand experience as the source of truth for whether a company's practices match its description.