Detect subsequence in matrix

Last updated: January 25, 2026

Quick Overview

Given a 2D matrix of characters and a string, determine if the string can be found as a subsequence in any of the rows or columns of the matrix. The function should return true if the subsequence exists and false otherwise. A subsequence is defined as a sequence that can be derived from another sequence by deleting some elements without changing the order of the remaining elements.

HashiCorp
Coding & Algorithms
Software Engineer
HashiCorp
January 25, 2026
Software Engineer
Take-home Project
Coding & Algorithms
Medium

41

8

1,715 solved


Given a 2D matrix of characters and a string, determine if the string can be found as a subsequence in any of the rows or columns of the matrix. The function should return true if the subsequence exists and false otherwise. A subsequence is defined as a sequence that can be derived from another sequence by deleting some elements without changing the order of the remaining elements.

This coding problem is frequently asked during Take-home Project at HashiCorp. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. HashiCorp expects candidates to write production-quality code, not just solve the puzzle.

What the Interviewer Expects
  • Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
  • Discuss multiple approaches and trade-offs before coding
  • Implement an optimal solution with clean, production-quality code
  • Handle all edge cases including boundary conditions and invalid input
  • Optimize both time and space complexity with clear justification
  • Test your solution systematically with well-chosen examples
Key Topics to Cover
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Hash maps and frequency counting
Edge cases and input validation
Sorting and searching
Dynamic programming and memoization
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • What happens if the input contains duplicates?
  • Can you optimize the space complexity of your solution?
  • How would your solution change if the input was sorted?
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Sample Answer
Problem Analysis

The problem requires us to determine if a given string can be found as a subsequence in any row or column of a 2D matrix. The key to solving this problem is recognizing that we can utilize a two-point...

Approach
  1. Iterate through each row of the matrix: For each row, initialize two pointers: one for the row (i) and one for the target string (j).
  2. Check for subsequence: While iterating through ...

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