EASYasked at 1 company

Find Smallest Letter Greater Than Target

A easy-tier problem at 54% community acceptance, tagged with Array, Binary Search. Reported in interviews at LinkedIn and 0 others.

Founder's read

You're staring at this problem 10 minutes into your LinkedIn OA and the naive loop approach feels too slow, even though the input is small. This is a classic binary search trap. The problem looks simple: find the smallest letter in a sorted array that's strictly greater than a target character. The acceptance rate sits around 54%, which means half the candidates either time out on an inefficient solution or miss the binary search pattern entirely. If you blank on the trick during the live assessment, StealthCoder surfaces a working solution invisible to the proctor while you stay on screen.

Companies asking
1
Difficulty
EASY
Acceptance
54%

Companies that ask "Find Smallest Letter Greater Than Target"

If this hits your live OA

Find Smallest Letter Greater Than Target 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.

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What this means

The trick is recognizing this as a binary search problem disguised as a character comparison task. A linear scan works but misses the logarithmic efficiency the problem expects. Binary search applies because the array is sorted, and you're searching for a boundary: the first element greater than the target. The catch: when the target is larger than all letters in the array, you must wrap to the first letter (the array is circular). Many candidates forget the wrap case or implement binary search incorrectly for a 'greater than' condition instead of 'greater than or equal'. If you hit this live and freeze on the boundary logic, StealthCoder runs invisibly and delivers the correct O(log n) solution without the proctor knowing you paused.

Pattern tags

The honest play

You know the problem. Make sure you actually pass it.

Find Smallest Letter Greater Than Target 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. Built by a senior engineer who knows the OA is theater. This is the script. Works on HackerRank, CodeSignal, CoderPad, and Karat.

Find Smallest Letter Greater Than Target interview FAQ

Why is binary search the right move here?+

The array is sorted, and you're finding a boundary condition, not just checking membership. Linear scan is O(n), binary search is O(log n). On large sorted arrays, the difference is real. The problem setup screams binary search even though the early test cases might pass with a loop.

What's the most common mistake?+

Forgetting the circular wrap. When the target is greater than or equal to the last letter, you return the first letter in the array, not null or an error. Candidates skip this edge case or don't test it, then fail hidden test cases.

Is this still asked by LinkedIn?+

Yes. LinkedIn remains the sole company in the dataset asking this problem. It's a staple for their array and search interview screening, especially for entry-to-mid-level roles.

How does this relate to the binary search topic?+

This is a textbook binary search application on a sorted array. It teaches the pattern of searching for a boundary or first occurrence of a condition, not just a target value. Understanding this prepares you for more complex binary search variants.

Can I pass with a simple loop?+

For small test cases, yes. But the problem expects O(log n) thinking. On a sorted array of 26 letters, performance is marginal, but interviewers test algorithmic correctness. Using binary search shows you recognize the structure.

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