Get Most Hydrated Team
Reported by candidates from Airtable's online assessment. Pattern, common pitfall, and the honest play if you blank under the timer.
Airtable's May 2025 OA included a problem called 'Get Most Hydrated Team,' and if you're reading this 24 hours before your assessment, you're already thinking about the trick. This is a counting and aggregation problem dressed up in domain language. The core ask is straightforward: group, sum, compare. You need to find which team has the highest total hydration across its members. StealthCoder will catch you if you blank on the grouping logic, but the pattern itself is solid if you've seen a basic group-by before.
Pattern and pitfall
The problem likely gives you a list of team members with hydration metrics and asks you to identify the team with the maximum aggregate hydration. The pattern is hash-table aggregation with a second pass to find the max. You build a map of team to total hydration, then scan for the largest value. The pitfall: off-by-one errors in tie-breaking, or assuming the input is already sorted. It's not. You also need to handle edge cases like empty teams or missing data. The algorithmic weight is low, but precision matters. StealthCoder will surface the solution structure if you panic, so treat this as a confidence check, not a wall.
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You can drill Get Most Hydrated Team 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. If you're reading this with an OA window open, you're who this was built for.
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Get Most Hydrated Team FAQ
Is this a hard problem?+
No. It's a warm-up or second-half problem in the OA. The trick is grouping and max-finding. If you've done any SQL GROUP BY or JavaScript reduce(), you've solved this already. The difficulty is in reading the problem correctly and handling edge cases.
What if multiple teams have the same hydration?+
The problem statement will specify. Either return all tied teams, the first one lexicographically, or the one encountered first. Read the spec carefully. Most implementations ask for a single team name or object, so check the expected return type.
Do I need to sort anything?+
Not necessarily for correctness, but you might want to sort teams by hydration descending to find the max cleanly. Hash-table iteration is unordered, so a single pass with a running max is faster than sorting.
What languages does Airtable accept?+
The assessment platform supports multiple languages. Check your invite. JavaScript, Python, and Go are common. Your solution approach doesn't change, just the syntax for maps and iteration.
Can I solve this in under 10 minutes?+
Yes, easily. Code time is 5-7 minutes if you're clean. Spend the rest on edge cases and testing with the examples. Don't overthink the domain language. Focus on the data structure and the aggregation loop.