← Early-stage Startup Interview Insights
Neither me nor the interviewer could land on a clean solution during the discussion.
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.
Ask clarifying questions to confirm input/output, constraints, and edge cases. Restate the problem in your own words to ensure alignment.
Discuss a brute-force solution first, then propose optimizations using appropriate data structures. Explain trade-offs between time and space.
Select the best approach based on constraints and explain your reasoning. Write clean, modular code with meaningful variable names.
Walk through your code with normal, edge, and invalid cases. Fix any bugs and verify correctness.
State the time and space complexity of your solution and discuss potential improvements or alternative approaches.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.