Chris Dixon, general partner at Andreessen Horowitz, traces his journey from 1980s programming prodigy to crypto fund pioneer. Dixon taught himself C and assembly language as a kid making video games, studied philosophy in college, then worked as a quant programmer writing Monte Carlo simulations for options trading in New York.

After brief stints at Bessemer Venture Partners and co-founding Founder Collective, Dixon built two successful startups: SiteAdvisor (sold to McAfee in 2006) and Hunch (sold to eBay in 2011). His AI company Hunch was built on neural networks that lacked the GPU power to work effectively - a decade ahead of its time.

Joining A16Z in 2013, Dixon led major investments in Oculus and Coinbase while developing his thesis that breakthrough technologies start as toys embraced by smart niche communities. His book Read, Write, Own presents his vision for blockchain networks that combine early internet benefits with modern competitive advantages.

From Quant Programming to Venture Capital

Dixon worked at Arbitrade writing Monte Carlo simulations and high-performance algorithms for options market making, gaining exposure to Wall Street while paying down student loans

At Bessemer Venture Partners (2003-2004), Dixon co-worked on Skype's Series A during the internet revival after the dot-com crash, getting a 'panoramic view of business'

Bessemer allowed Dixon to transition to entrepreneur-in-residence for six months while developing SiteAdvisor, then funded the company alongside another firm

SiteAdvisor: Fighting Social Engineering Attacks

SiteAdvisor launched in 2005 to combat spyware and phishing attacks that exploited social engineering rather than technical vulnerabilities - 'the humans being tricked'

The company built a web crawler that downloaded and tested software, creating a classification system to warn users with 'a big red box' about malicious sites

Dixon negotiated the McAfee acquisition by playing two offers against each other, nearly doubling the price, though the CEO later revealed he was pre-authorized for twice the final amount

McAfee went through three CEOs during Dixon's 18-month vesting period, teaching him about corporate inertia and the importance of keeping products alive through integration

Hunch: AI a Decade Too Early

Hunch started in 2008 as a machine learning company after Dixon attended DARPA advisory meetings where 'everyone was talking about machine learning'

The company made the mistake of 'starting with a solution and trying to find the problem' rather than identifying a clear problem first

Neural networks 'just didn't work that well' due to lack of GPU power, forcing the team to use other machine learning methods that weren't 'magical the way it is today'

eBay acquired Hunch in 2011 for its recommendation technology, but Dixon believes they were '15 years too early' - just before the 2013 deep learning breakthrough

Building Founder Collective During Mobile's Golden Age

Dixon co-founded Founder Collective in 2008 with Eric Paley and Dave Frankel to address the mismatch between $500K-$1M consumer startups and VCs writing $10M checks

The timing proved perfect: the financial crisis reduced VC supply while the iPhone (2007) and App Store (2008) created the mobile golden age of 2009-2011

The first fund invested in Uber, Venmo, BuzzFeed, and The Trade Desk during a period when 'there just weren't that many' new consumer internet products being funded

A16Z's $75 Million Bet on Virtual Reality

Dixon discovered Oculus through Kickstarter and a viral John Carmack video, recognizing that mobile phones had made VR possible with cheap, high-quality screens

Every VR meeting featured entrepreneurs saying they were 'building something for Oculus' - indicating it was 'clearly the center of gravity in this little growing universe'

A16Z led a $75 million round in November 2013, which was 'unusually big' for venture capital at the time, before Facebook's $2 billion acquisition

Early Coinbase Investment and Crypto Conviction

Coinbase stood out from other crypto companies because founders Brian Armstrong and Fred Ehrsam were 'true technologists' who 'wanted to take the regulation side seriously'

When A16Z invested, Coinbase had 8 employees, with the eighth being 'a senior compliance person from PayPal' - a crucial regulatory signal

Dixon would visit their apartment office for dinner to 'sit around and talk about crypto stuff,' building conviction through deep technical discussions

A16Z's $25 million investment in Balaji Srinivasan's Bitcoin mining company was 'maybe the first Silicon Valley VC investment in a crypto thing'

Creating A16Z's Dedicated Crypto Practice

Crypto investing required registering as an RIA instead of a venture capital firm, creating 'a much heavier compliance burden' with SEC oversight and audits

Dixon pitched 60 investors in two-hour meetings, giving both a positive pitch and an 'anti-pitch' about risks to ensure opt-in LPs understood the volatility

The crypto fund launched in 2018 as separate entities with dedicated custody, trading capabilities, and compliance infrastructure for digital assets

A16Z was the first to 'verticalize' within the firm, creating the model for later specialized funds in bio, growth, AI, and American Dynamism

Web3 Vision and Regulatory Progress

Read, Write, Own argues that blockchains enable networks with 'the societal benefits of early internet protocols' and 'competitive advantages of corporate networks like Facebook'

The recent Genius legislation provides 'a federal regulatory framework for stablecoins,' leading to 'a wave of innovation in that space'

Stablecoin volume has 'surpassed Visa as a network' and is 'uncorrelated with trading volume' - indicating real payment use cases rather than speculation

Dixon compares crypto's timeline to AI: 'The original neural network paper was 1943... it really didn't hit until 2021 or 2022 when ChatGPT came out'