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Early-stage Startup·Software Engineer·Technical Phone Screen·Intermediate

IntermediateRejected
Jun 2026

Summary

Got a DSA question I couldn't crack, and things got awkward fast when the interviewer couldn't fully work through it either. Rejection came anyway.

Questions Asked (1)

Q1

Solve a data structures and algorithms problem presented during the technical interview.

Algorithms & Data Structures
Author's notes

Neither me nor the interviewer could land on a clean solution during the discussion.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the problem and constraints, then discuss brute force and optimize with appropriate data structures. Think aloud, test with examples, and analyze time/space complexity.

Pro tip: At an early-stage startup, they value pragmatic problem-solving and communication over perfect code. Show how you'd iterate and handle edge cases, and ask about real-world constraints like data size or latency.

1. Understand the Problem

Ask clarifying questions to confirm input/output, constraints, and edge cases. Restate the problem in your own words to ensure alignment.

2. Explore Approaches

Discuss a brute-force solution first, then propose optimizations using appropriate data structures. Explain trade-offs between time and space.

3. Choose and Implement

Select the best approach based on constraints and explain your reasoning. Write clean, modular code with meaningful variable names.

4. Test and Validate

Walk through your code with normal, edge, and invalid cases. Fix any bugs and verify correctness.

5. Analyze Complexity

State the time and space complexity of your solution and discuss potential improvements or alternative approaches.

Key Points to Mention

  • Clarifying questions to understand requirements and constraints
  • Brute force vs optimized solutions and trade-offs
  • Choice of data structures (e.g., hash maps, heaps, trees) and why
  • Time and space complexity analysis (Big O notation)
  • Edge cases and error handling
  • Communication and thought process throughout

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.