Antonio García-Martínez
Guest on This Week in Startups - Audio, Recode Decode & Startup Notes
Antonio García Martínez is an American New York Times Best Selling author, tech entrepreneur, former product manager for Facebook, the CEO & founder of AdGrok, and a former quantitative analyst for Goldman Sachs.
In these live interviews from the 2019 Code Conference, Casey Newton first talks to Instagram boss Adam Mosseri and Facebook's head of AR and VR, Andrew "Boz" Bosworth; then; later in the show, he interviews three former tech insiders: former Googler Jessica Powell, ex-Facebooker Antonio García-Martínez, and Twitter/Google veteran Nicole Wong.
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In this episode, Startup Notes has a special guest from Silicon Valley: Antonio García Martínez. Antonio has been an advisor to Twitter, one of the first product managers on Facebook’s ad team, and the CEO/founder of AdGrok (a venture-backed AdTech startup that participated in Y Combinator and was later acquired by Twitter). More recently, he became known to a wider audience as the author of the New York Times bestseller “Chaos Monkeys”, in which he shares his experiences in the tech world and gives a behind-the-scenes look of Facebook and the supposedly ‘illustrious’ startup culture in Silicon Valley.
In this interview with Startup Notes, Antonio makes a deep dive and talks about what the culture in Silicon Valley is actually like, what makes Facebook special as a company and why he thinks the increasing automatization that gets accelerated by tech startups is a major threat to society. Lastly, he also gives advice on how startup founders can increase their chances to make it into the famous Y Combinator accelerator.
Are you interested to hear more about his views on startups and why you should not split the equity equally between founders when starting a company?
Check out Startup Notes’ 1-hour video interview with him from 2015 on YouTube: bit.ly/2mULoSK
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Creator Details
Birthdate
Mar 25th, 1976
Location
Mountain View, California, United States of America
Episode Count
3
Podcast Count
3
Total Airtime
3 hours, 5 minutes
PCID
974969