In remote hiring, the key challenge lies in filtering out unqualified candidates from a sea of applicants. The author suggests a simple programming knockout question to streamline this process. The question involves a small piece of code meant to evaluate a candidate's ability to interpret and solve it manually. The code snippet asks for the result of a calculation based on a list, where the trick is a hidden equal sign in the conditional statement. Candidates who rely on tools like interpreters or ChatGPT tend to get the wrong answer, while those with strong coding skills can solve it mentally. During the author's tenure as CTO at MonetizeMore, they found that 50% of candidates provided the incorrect answer, indicating reliance on external tools rather than genuine understanding. Only 47% answered correctly, and 3% got it wrong. Some candidates even returned to resubmit the application after discovering their mistake, with one ultimately becoming a strong hire. This method has its flaws, like the potential for false negatives, but it effectively reduces the time spent on recruitment by quickly identifying capable candidates. The author emphasizes the importance of accessibility, recommending to include screen reader compatibility in the coding question. This attention to detail ensures the process is inclusive for all applicants. The approach reflects a practical strategy for hiring in a competitive field, where quickly identifying talent can significantly impact team quality and productivity.