design uber eats homepage. geohashing/geoindexing, API design, SQL vs NoSQL, caching, most ordered restaurant/dish analytics. used geohash for restaurant lookup (precision 6, ~1.2km cells). then cassandra for restaurant data, redis for hot menus, kafka for click events. rejected after this round. they said depth was missing in caching

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Uber SDE-2 sys design - sep

design uber eats homepage.