Twitter Spaces Active Hours Tracking

CodingxAILast reported January 2026Low Frequency
Reported
1× across candidate reports
First seen
January 2026
Last reported
January 2026
Reported outcome
mixed

Problem Overview

Given a list of operation records, each containing (operation, twitter_space_id, user_id, timestamp) where operation is one of 'create', 'join', or 'leave', compute the total active duration for each Twitter Space. Example input: ["create", "abc", "user_1", "1234567000"] ["join", "abc", "user_2", "1234567100"] ["leave", "abc", "user_2", "1234567300"] ["create", "def", "user_2", "1234568000"] ["leave", "def",…

  • 2 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
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Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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