What Karat Interview Questions GitHub Actually Is
Karat Interview Questions GitHub is just a collection of repositories where people dump the problems they encountered during Karat's on-site interviews. It is not an official source. Karat does not publish anything like this. The content there is crowd-sourced from candidates who wrote things down after their sessions, sometimes right after, sometimes weeks later. You will find SQL queries, system design prompts, coding challenges, and occasionally full walkthroughs of how someone approached the problem. I spent probably six months ago going through a bunch of these repos before a mock interview I was prepping for. Most of what you see is useful noise. Some of it is outdated or misremembered. The ones that actually help are the ones where people show their reasoning, not just the final answer.
How to actually use Karat Interview Questions GitHub
Don't read these like a textbook. They are reference material, not study guides. The best way to use them is to pick one problem, close the browser, and solve it on your own first. Then compare your approach to what someone else wrote. This usually takes me about twenty minutes per problem if I am being efficient. If you are just reading answers without doing the work, you are wasting your time. One specific issue I ran into with these repos involves a SQL question about finding the nth highest salary using a subquery. Someone posted a solution that used a correlated subquery approach, which works but is O(n²) in execution. The interviewer at Karat will often probe whether you know a more efficient way. I ended up rewriting it with a window function using ROW_NUMBER() and then filtering on that. It cut the execution time dramatically on larger datasets. This is the kind of detail you only pick up by actually working through these problems yourself, not by passively reading solutions. The repositories also tend to cluster around certain patterns. You will see a lot of problems involving array manipulation, hash maps, and basic tree traversals. System design questions tend to focus on designing APIs or data pipelines rather than full-scale distributed systems. The coding problems are usually LeetCode medium difficulty, sometimes leaning toward easy if the company is being conservative with time.
What These Repos Miss
The biggest gap in most Karat Interview Questions GitHub collections is the behavioral and communication aspect. Karat interviews are heavily weighted toward how you think out loud and collaborate with the interviewer. The repos rarely capture this because it is hard to write down. You might ace the technical problem but fail the interview if you are not explaining your thought process clearly. Another thing that does not show up is the time pressure. These interviews are usually forty-five to sixty minutes long. The coding portion alone is often thirty minutes. That means you have maybe ten minutes to ask clarifying questions, discuss edge cases, and then code something that passes. When you are reading solutions online, there is no timer. This changes how you approach the problem entirely. If you want a better structured alternative, look at the actual Karat platform if you get access to a practice round. Some companies offer that as part of their process. The questions there are much closer to what you will actually see than anything scraped together from interview reports. The practice round also gives you a feel for the interface, which is its own separate challenge since the coding environment is not exactly like LeetCode or HackerRank.
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A Few Things to Watch Out For
Solutions in these repos are not always correct. I have seen at least three different implementations of the same problem where two of them had off-by-one errors or failed on empty input. Always test any solution you find against your own edge cases before you assume it is solid. Write a quick test suite. It takes two minutes and saves you from looking bad in an actual interview. Some of the older repos contain problems from before Karat changed their interview format. The company has shifted over the years, so questions posted in 2022 or earlier might not reflect the current style. Check the dates on the repositories and the individual issues before you invest time in them. The most reliable repos tend to be the ones maintained by people who actually went through the process recently and come back to update them. Look for activity within the last year and contributions from multiple users. A repo with a single contributor who posted once two years ago is probably stale.
