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Chris Dixon: From Quant Trading to Building a16z Crypto
Episode 1046

Chris Dixon: From Quant Trading to Building a16z Crypto

In this feed drop from the Internet History Podcast, host Brian McCullough speaks with Chris Dixon, general partner at a16z, about his path from 1980s hobbyist programmer to one of the most prominent venture capitalists in tech. Chris traces his career from quantitative finance to founding SiteAdvisor, cofounding Founder Collective, starting an early machine learning company, and eventually building a16z's crypto practice from the ground up. They also discuss his framework for spotting unconventional investments, the current state of crypto regulation, and why New York is becoming a serious tech hub.

The a16z Show · Chris Dixon, Brian McCullough

March 2, 202659m 33s

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Show Notes

In this feed drop from the Internet History Podcast, host Brian McCullough speaks with Chris Dixon, general partner at a16z, about his path from 1980s hobbyist programmer to one of the most prominent venture capitalists in tech. Chris traces his career from quantitative finance to founding SiteAdvisor, cofounding Founder Collective, starting an early machine learning company, and eventually building a16z's crypto practice from the ground up. They also discuss his framework for spotting unconventional investments, the current state of crypto regulation, and why New York is becoming a serious tech hub.

 

Resources:

Follow Chris Dixon on X:  https://twitter.com/cdixon

Follow Brian McCullough on X:  https://twitter.com/brianmcc

Listen to Internet History Podcast: https://www.youtube.com/@internethistorypodcast

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.


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Topics

cryptomlweb3stablecoinslegislationartificial intelligencemachine learningregulationquantitative investing