Find shortest distance in linked list

Last updated: February 16, 2026

Quick Overview

Given a interval list, find the minimum cost efficiently using Sliding Window.

Supabase
Coding & Algorithms
Software Engineer
Supabase
February 16, 2026
Software Engineer
Phone Screen
Coding & Algorithms
Medium

16

13

4,010 solved


Given a interval list, find the minimum cost efficiently using Sliding Window.

This coding problem is frequently asked during Phone Screen at Supabase. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. Supabase 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
Hash maps and frequency counting
Edge cases and input validation
Sorting and searching
Binary search and divide and conquer
Tree structures and recursion
Graph algorithms and traversal
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 is the worst-case input for your solution?
  • How would you modify your solution to handle streaming input?
  • How would your solution change if the input was sorted?
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Sample Answer
Problem Analysis

The problem involves finding the minimum cost to cover a series of intervals. Given the nature of the problem, the sliding window technique is appropriate here because we can maintain a window of inte...

Approach
  1. Sort the Intervals: First, we need to sort the intervals based on their start times. This helps in efficiently managing the current set of overlapping intervals. For instance, if we have interv...

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