Thank you for your response, aka why I love HN we can have discussions not pissing contests. You are probably right about my bs martyrdom on this topic, HN is

Thank you for your response, aka why I love HN we can have discussions not pissing contests. You are probably right about my bs martyrdom on this topic, HN is better informed. I am on planet earth although head in clouds :). But really look through the cloud lens of: 1 - people order a lot of takeout, and mostly the same thing with same frequency (Thursday is Chinese night, etc) 2 - Uber owns a lot of data around who is ordering what and when. This data is similar to amazons general product info and how they can manage the insane logistics of same day stocking, not even to mention same day delivery. 3 - setting up a massive production line kitchen in a rent efficient space (aka not retail, industrial at 30% the costs) with the same predictive models amazon uses to stock “same day” is many times more efficient than mom and pop restaurants. 4 - Transport costs can be mitigated with an Uber pool like model or a heavily tip reliant model (like Amazons prime now) Fun fact - Travis K after leaving UBER is heavily investing time and money in cloud kitchen space. https://techcrunch.com/2019/06/28/a-rare-glimpse-into-the-sweeping-and-potentially-troubling-cloud-kitchens-trend/ https://techcrunch.com/2019/06/28/a-rare-glimpse-into-the-sw... https://thespoon.tech/former-uber-ceo-lands-in-the-cloud-kitchen-market/ https://thespoon.tech/former-uber-ceo-lands-in-the-cloud-kit...