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Early-stage Startup·Full Stack Engineer·Technical Phone Screen·Junior

JuniorPending
Jun 2026Remote

Summary

Second round for a new-grad fullstack role, mostly JavaScript/TypeScript/Node work, and the recruiter said they just want to see how you think rather than expecting a finished product. Coming in mostly as a backend person who'd been grinding leetcode, so the prep scramble was real.

Questions Asked (1)

Q1

Implement a feature, component, or debug a piece of code in a live JavaScript/TypeScript/Node environment.

API & IntegrationsTechnical Trade-offs
Author's notes

They said nobody's expected to finish, just show your thinking.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and constraints, then outline a plan before coding. Think aloud to demonstrate problem-solving, and after implementing, discuss trade-offs and potential improvements.

Pro tip: In a live coding environment, prioritize clean, working code over perfection. Show that you can iterate quickly and handle feedback, which is crucial for early-stage startups.

1. Clarify Requirements

Ask questions to understand the expected functionality, edge cases, and constraints (e.g., performance, scalability). Confirm assumptions before proceeding.

2. Plan Your Approach

Outline a high-level plan, including data structures, algorithms, and potential trade-offs. Communicate your thought process to the interviewer.

3. Implement Incrementally

Write code in small, testable chunks. Explain your reasoning as you go, and test each part before moving on.

4. Test and Debug

Run through test cases, including edge cases. If bugs arise, debug systematically and explain your debugging process.

5. Discuss Trade-offs and Improvements

After implementation, discuss alternative approaches, trade-offs made, and how you would improve or scale the solution.

Key Points to Mention

  • Clarifying questions to ensure alignment with requirements
  • Choice of data structures and algorithms with justification
  • Consideration of edge cases and error handling
  • Testing strategy, including unit tests and manual testing
  • Trade-offs between different solutions (e.g., time vs. space complexity, simplicity vs. scalability)
  • Potential for refactoring and future improvements

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