Maximum Repeating Substring
A easy-tier problem at 40% community acceptance, tagged with String, Dynamic Programming, String Matching. Reported in interviews at Asana and 2 others.
Maximum Repeating Substring shows up in technical assessments at Asana, Pure Storage, and Turing, but most candidates blank on it. The problem asks you to find the longest substring that repeats k times consecutively. It sounds straightforward until you realize the naive approach either times out or misses edge cases. With a 39% acceptance rate, this isn't a gimme despite the "easy" tag. If this problem hits your live OA and you haven't drilled the pattern, StealthCoder surfaces a working solution in seconds, invisible to the proctor.
Companies that ask "Maximum Repeating Substring"
Maximum Repeating Substring is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Made by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE.
Get StealthCoderThe trap here is thinking you need complex string matching like KMP. You don't. The real trick is to check every possible substring length and every possible starting position, then count how many times that substring repeats consecutively from that position. Most candidates either brute force and timeout, or implement string matching when simple iteration works. The pattern involves checking substrings of length 1, 2, 3, and so on up to word.length / 2, then verifying repetition counts. String and Dynamic Programming are listed as topics, which hints that some solutions use DP to cache substring matches, but a clean iterative approach beats overthinking. This is where StealthCoder matters for live assessments: if you freeze, a working solution appears immediately without the proctor knowing.
Pattern tags
You know the problem.
Make sure you actually pass it.
Maximum Repeating Substring recycles across companies for a reason. It's easy-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Made by a working Amazon engineer who got tired of watching qualified friends bomb OAs they'd solve cold in an IDE. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Maximum Repeating Substring interview FAQ
Is this problem still asked at big companies?+
Yes. Asana, Pure Storage, and Turing all report it. Despite the easy tag and 39% acceptance rate, it's popular because it filters for clear string iteration logic. Companies want to see clean, intentional code, not pattern-matching memorization.
Why do so many people fail this if it's marked easy?+
The acceptance rate is 39%, which is below average. Candidates either misunderstand what 'repeating' means (k times consecutively, not scattered throughout), or they optimize prematurely. The straightforward approach wins here.
What's the core trick to solve this efficiently?+
Iterate through all possible substring lengths from 1 to word.length / 2. For each length, check every starting position and count consecutive repetitions. Track the maximum k value found. No complex string matching needed, just nested loops and substring comparison.
How do String, Dynamic Programming, and String Matching relate here?+
String is the obvious category. Dynamic Programming applies if you cache substring comparisons to avoid re-checking. String Matching is listed but the problem doesn't require KMP or similar. Basic string equality checks are sufficient.
Should I memorize a solution or understand the approach?+
Understand the approach. The problem is simple enough that memorization won't help if the interviewer tweaks the constraints. Know why you iterate substring lengths first, not positions first. That clarity is what companies value.
Want the actual problem statement? View "Maximum Repeating Substring" on LeetCode →