← rippling Interview Insights

rippling·Software Engineer·Technical Phone Screen·Intermediate

IntermediateRejected
Apr 2026

Summary

Rippling SWE coding round, got a card game problem (think poker hand ranking variant) and couldn't get it fast enough to pass all the test cases. Skipped AI tooling entirely which probably didn't help.

Questions Asked (1)

Q1

Given a set of card hands, rank them according to a custom hand-strength ruleset similar to poker. Handle all edge cases correctly and efficiently enough to pass a large suite of test cases.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

My solution worked logically but timed out on a bunch of the test cases.

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AI HintsAI Generated

Suggested Approach

Clarify the custom hand-strength ruleset and edge cases first, then design a modular solution that parses each hand into a canonical representation, evaluates its strength, and sorts hands by strength with tie-breaking. Emphasize efficiency by using appropriate data structures and avoiding redundant computations.

Pro tip: Proactively discuss how you would test your solution against edge cases (e.g., duplicate cards, wildcards, ties) and optimize for large inputs, showing you think beyond just correctness.

1. Clarify Requirements and Edge Cases

Ask questions to fully understand the custom ruleset, including hand rankings, tie-breaking rules, and any special cases like wildcards or duplicate cards. Confirm input format and expected output.

2. Design Data Structures and Parsing

Choose efficient data structures (e.g., frequency maps, sorted arrays) to represent each hand and parse the input. Ensure the representation supports quick evaluation and comparison.

3. Implement Hand Evaluation

Write a function to evaluate each hand's strength according to the ruleset, handling all edge cases. Use a systematic approach to check hand categories in order of strength.

4. Sort and Rank Hands

Sort the hands based on their evaluated strength, applying tie-breaking rules. Use a stable sort if needed to preserve original order for equal hands.

5. Optimize and Test

Analyze time and space complexity, optimize if necessary (e.g., precompute, use efficient comparisons), and outline a testing strategy covering edge cases and large inputs.

Key Points to Mention

  • Clarifying the custom ruleset and edge cases before coding
  • Choosing efficient data structures for hand representation and comparison
  • Modular design separating parsing, evaluation, and sorting
  • Handling tie-breaking and duplicate hands correctly
  • Time and space complexity analysis and optimization for large test suites
  • Testing strategy including edge cases and performance benchmarks

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