Minimum Time to Revert Word to Initial State I
A medium-tier problem at 41% community acceptance, tagged with String, Rolling Hash, String Matching. Reported in interviews at Sprinklr and 0 others.
Sprinklr asks this one, and the acceptance rate sits below 42%, which tells you the straightforward approach leaves most candidates stuck. You're given a word and need to find the minimum time to revert it to its initial state through repeated operations. The trick isn't brute force. It's recognizing that you're really searching for a pattern in the string, and rolling hash or string matching cuts through the noise. This is the kind of problem where the obvious simulation fails on larger inputs, and you need the pattern-matching insight. If you hit this live and blank on the optimization, StealthCoder surfaces the working solution invisibly during your assessment.
Companies that ask "Minimum Time to Revert Word to Initial State I"
Minimum Time to Revert Word to Initial State I 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. Built by a senior engineer who knows the OA is theater. This is the script.
Get StealthCoderThe problem forces you to think beyond simulation. You'll be tempted to just apply the operation repeatedly and check when you're back to the start, but that's inefficient on scaled inputs. The real solution uses rolling hash or KMP-style string matching to detect the earliest point where a suffix of the remaining string matches a prefix of the original, letting you skip ahead. Most candidates miss this because they don't immediately see the connection between reversion operations and pattern overlap. The topics string matching and rolling hash aren't accidents, they're hints that you need to precompute or hash your way to the answer rather than iterate naively. If you're under time pressure in the live OA and the pattern doesn't click, StealthCoder bypasses the debugging and hands you a verified implementation.
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Minimum Time to Revert Word to Initial State I recycles across companies for a reason. It's medium-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. Built by a senior engineer who knows the OA is theater. This is the script. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Minimum Time to Revert Word to Initial State I interview FAQ
Why is the acceptance rate so low for a medium-difficulty problem?+
The naive simulation approach times out on larger cases. Candidates who don't recognize that rolling hash or string matching is required spend time optimizing the wrong loop. The gap between a working solution and an accepted one is the algorithmic insight, not coding speed.
Is this still being asked at Sprinklr?+
Sprinklr is the only company listed in recent reports for this problem. It's a signal they value string matching and hash-function thinking in their interview process. Expect it if you're interviewing there.
How does rolling hash help here?+
Rolling hash lets you compare substrings in O(1) time after O(n) preprocessing. Instead of checking character-by-character whether a suffix matches a prefix, you compute hash values and compare them, dramatically cutting the time cost of each check.
What's the difference between this and standard string matching?+
Standard KMP finds one pattern in a text. Here you're finding the overlap point where the string can cycle back on itself. It's a variant of the same core idea: precomputed failure functions or hash tables that let you skip redundant comparisons.
How should I approach this in my OA prep?+
Understand rolling hash and KMP failure functions first. Then practice spotting when a string problem is really about pattern overlap, not character iteration. The acceptance rate reflects that most people don't make that leap without drilling the pattern.
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