Code Room
System designMedium
Question
Design a search autocomplete service for a maps app that suggests places as the user types. Scale: 500M daily active users, p99 under 60ms per keystroke, a corpus of ~200M places that changes slowly (new businesses, closures), but suggestions must be ranked by the user's current geolocation and recent search history.
What a strong answer looks like
Clarify scale and constraints first. Propose a clean component breakdown, then go deep on the hard parts — data model, bottlenecks, consistency, failure modes — and name the trade-offs you are making.
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