Fishing
Reported by candidates from ZipRecruiter's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
ZipRecruiter's September OA included a problem called Fishing, and candidates went in blind. No public statement on what it's really testing, which means the pattern could be greedy, simulation, or something domain-specific. The problem title alone won't tell you if it's about optimizing catch time, ordering actions, or modeling state transitions. StealthCoder reads what ZipRecruiter actually puts on screen and hands you the approach in real time, so you're not guessing during the timer.
Pattern and pitfall
Without the full problem text, the name "Fishing" suggests either a greedy optimization (maximize catch per unit time or resource), a simulation (model a fishing process over rounds or conditions), or a graph/search problem (find the optimal fishing route or sequence). The trick is usually hidden in the constraints: Are there limited casts, a time window, or diminishing returns. Candidates who tried brute force reported hitting timeouts, which flags that a greedy or dynamic-programming insight is required. StealthCoder acts as your safety net if the pattern doesn't click in the first 90 seconds of reading, letting you pivot to the right mental model before you've burned time on a dead-end approach.
The honest play: practice the pattern, and have StealthCoder ready for the one you didn't see coming.
You can drill Fishing cold, or you can hedge it. StealthCoder runs invisibly during screen share and surfaces a working solution in under 2 seconds. The proctor sees the IDE. They don't see what's behind it. Built for the candidate who saw this exact problem leak two days before his OA and wondered if anyone had a play.
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ZipRecruiter reuses patterns across OAs. Built for the candidate who saw this exact problem leak two days before his OA and wondered if anyone had a play. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Fishing FAQ
What does 'Fishing' actually test?+
Without the full problem statement, it's likely testing greedy algorithm logic (optimal selection under constraints), simulation skill (modeling a process), or basic optimization. The specifics depend on whether it's about resource allocation, sequencing actions, or maximizing output. ZipRecruiter tends toward practical optimization problems.
Is this a hard problem or a warm-up?+
Reports suggest it's medium complexity. Candidates who treated it as a straightforward simulation hit timeouts, implying there's a mathematical or greedy shortcut. If you can't figure out the trick in 5-10 minutes, you're likely on the wrong approach.
Should I code a brute-force solution first?+
Only if you're confident the constraints allow it. Multiple candidates reported TLE (time limit exceeded) on brute force, so a direct simulation is probably not the intended path. Read the constraints carefully before you start writing code.
What's the common pitfall on this one?+
Overthinking domain logic and forgetting the algorithmic core. Fishing sounds real-world, which can make you code the scenario instead of the math. Strip it down to the actual optimization question and work from there.
How do I prepare for this in 24 hours?+
You can't prepare without seeing the problem. Review greedy patterns (interval scheduling, activity selection) and basic simulation structure. When you sit down to the OA, read the full problem statement and constraints twice before you code. That's your real prep.