This week, we cover these ideas:
How market structure determines the types of companies and projects that succeed
A walk through Marqeta’s economics and business model, and how Square’s Cash App and DoorDash were needed for success
The emerging $10B transaction revenue pool on Ethereum, MEV, and the changes to mining and gas
In this conversation, we talk with Jamie Burke of Outlier Ventures. This is a fascinating and educational conversation that covers frontier technology companies and protocols in blockchain, IoT, and artificial intelligence, and the convergence of these themes in the future. Jamie walks us through the core investment thesis, as well as the commercial model behind shifting from incubation to acceleration of 30+ companies. We pick up on wisdom about marketing timing and fund structure along the way.
Mike Cagney is the Co-Founder and CEO of Figure, a full stack financial services blockchain company with consumer offerings in market or on the way in lending, banking and more. In late-2019, Figure raised $103 million at a $1.2 billion valuation and continues to grow.
Prior to starting Figure, Mike co-founded and ran SoFi, one of the most successful consumer fintech companies ever.
In this conversation, we discuss Figure’s routes to asset origination and capital markets disruption, Figure’s previously unannounced consumer banking and payments offering, lessons learned building and scaling multiple billion dollar companies and more.
In this conversation, we chat with Sergey Nazarov. Sergey is Co-founder of Chainlink, the leading decentralized oracle network used by global enterprises & projects at the forefront of the blockchain space.
Chainlink is the industry standard oracle network for powering hybrid smart contracts. Chainlink Decentralized Oracle Networks provide developers with the largest collection of high-quality data sources and secure off-chain computations to expand the capabilities of smart contracts on any blockchain. Managed by a global, decentralized community, Chainlink currently secures billions of dollars in value for smart contracts across decentralized finance (DeFi), insurance, gaming, and other major industries.
More specifically, we touch on what it means to build in DeFi, what Oracles are like, what smart contracts are and what they enable, how all of this works and where the protocol is going, and so much more!
The most popular AMM, Uniswap, is annualizing to $1 billion in fees. That’s a chunky amount of value for its users.
The team has just released the third version of its protocol, and it is an innovation in the structure of the AMM logic. Instead of providing liquidity across the entire price curve, users are now able to specify pricing ranges for which they are participating in the curve. This protects market makers from the extreme price fluctuations which they may prefer not to fund. Because most trading also happens in narrower price bands, it is possible that capital is much more actively used in those bands, and generates higher fee returns comparatively.
This week, we look at:
How banks and financial advisors have failed to deliver on $1 trillion in capital appreciation for their clients over the last 12 years
The role of bank regulators in the United States, and the tensions between state and federal agencies
How the OCC is laying the groundwork for national banks to custody crypto assets, bank stablecoin reserves, run blockchain nodes, and use crypto payment networks
And instead of financial advisors or other CFAs guiding the retail market in good decision making, a newsfeed of *what’s popular* has driven Apple, Google, Tesla and the other John Galt hallucinations to the stratosphere. Don’t get us wrong. We love the robot as much as the next Fintech commentator. But it is clear to us that “the masses” are not being “advised”. And that the capital appreciation that matters — cementing the next trillion dollar networks for global future generations in work yet to emerge — is misunderstood and misrepresented by most financial professionals to their clients.
It must have been hard for those early Internet dot com founders to watch their ideas burn up like kindling. What was yesterday a song of genius and risk-taking became a caricature of hubris and bubbles. Pets.com, lol, they said.
Of course all the Internet people were right, just not at the right time. Being in the moment, you really can’t tell when the right time is. You might only be able to tell when it’s over, and the music ain’t playing no more.
It’s the roaring twenties, people say about the start of this decade. Like, that’s a good thing? Of course the 1920s ended with the Great Depression, a restructuring of the social order, and a political path to the worst war in human history. But you know, some people had fun in the stock market! Even Keynes — for all his economist words — lost his shirt. Only political power and the gun mattered in the end. It was Kafka who was right.
This week, we look at:
The 10% collapse in GDP across the US & Eurozone, and how it compares with China's second quarter
The geopolitical battle over TikTok, its alleged spying, and understanding the winners and losers of the Microsoft deal
A framework for how to win in open source competition, explaining both Shenzhen manufacturing success and decentralized finance growth to $4 billion
In this conversation, we talk with Patrick Berarducci of ConsenSys, about the valuations and multiples of capital markets protocols in Decentralized Finance on Ethereum, now making up over $60B in token value. Additionally, we explore the nuances of scaling Ethereum and its solutions, such as Metamask and the emerging Layer 2 protocols.
We also discuss law and regulation, including a fascinating story about Bernie Madoff from when Pat was a practicing attorney. This leads into a conversation about the embedded compliance nature of blockchain and crypto technology, the early days of ConsenSys, the path of crypto brokerages like Coinbase, and Metamask exhibiting emerging qualities of a neobank.
We look at a recent report from Protos that traces the issuance of USDT to the institutional players in the centralized crypto capital markets. The data reveals the market share of players like Alameda, Cumberland, Jump, and others in powering trading in exchanges. We try to contextualize this market structure with what exists both in (1) investment banking and (2) decentralized finance. The analogies are helpful to de-sensationalize the information and calculate some rough economics.
