Maximum Width Ramp
A medium-tier problem at 56% community acceptance, tagged with Array, Two Pointers, Stack. Reported in interviews at Zepto and 0 others.
You're looking at a 55% acceptance rate problem that Zepto has actually asked. Maximum Width Ramp doesn't sound hard until you hit it in the assessment and realize the brute-force scan times out. The trick: you need to find the widest subarray where every element on the left is smaller than some element on the right. One-pass nested loop fails on large inputs. A monotonic stack solves it in linear time. If you blank on the pattern during your live OA, StealthCoder runs invisibly and surfaces the working solution in seconds.
Companies that ask "Maximum Width Ramp"
Maximum Width Ramp 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 problem breaks most candidates because the obvious O(n^2) check-every-pair approach screams correctness but hits time limits. The real solution uses a monotonic stack to pre-process indices where the stack strictly decreases by value, then scans right to left matching indices greedily. The mental model: build a set of possible left anchors where no earlier anchor is smaller, then scan from the right and pop from the stack whenever you find a valid pair. Common pitfall is confusing this with longest increasing subsequence or thinking you need to track all valid pairs. Stack, Two Pointers, and Array topics are all baked into the approach. If the monotonic stack pattern hasn't stuck in your drills yet, StealthCoder is the hedge for the one problem you didn't see coming.
Pattern tags
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Maximum Width Ramp 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. 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 Width Ramp interview FAQ
Why does the greedy O(n^2) approach time out?+
You're checking every i-j pair, which is 10^10 operations on n=10^5. A monotonic stack preprocesses candidate left indices in one pass, then scans right once. Linear time replaces quadratic.
What's the actual monotonic stack trick?+
Build a stack of indices where values strictly decrease. This eliminates useless left candidates. Then scan right to left, popping from the stack whenever current value >= stack top value. The popped index is a valid left endpoint. Track max width.
Is this still asked at real companies?+
Yes. Zepto has reported it. It's a medium-difficulty pattern that filters candidates who've actually internalized monotonic stack, not just memorized LIS or basic stack problems.
How does this relate to Two Pointers?+
The right-to-left scan after stack construction is a pointer pattern. You're moving one pointer logically through the stack while advancing another across the array. It's not classic two pointers, but the scanning logic is there.
What's the most common mistake?+
Trying to track all valid pairs instead of greedily popping from the stack. Candidates also forget that stack indices must be strictly decreasing by value, not by position. Missing that constraint breaks the entire approach.
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