Episode Summary
Executive Summary: The episode examines “generalized mining” as a new crypto-native investment strategy: funds don’t just buy tokens or equity, but actively supply essential services to decentralized networks—staking, storage, validation, market-making, or bootstrapping liquidity—to improve network success and capture returns. Laura Shin and guests Jake Bruckman and Tushar Jain argue this blurs VC, hedge fund, and operational participation, especially in early-stage networks like Filecoin, Maker, LivePeer, and layer-two systems.
Main Topics: What crypto funds are and why they differ from traditional funds (Priority: 5/5): Jake Bruckman and Tushar Jain explain that crypto funds combine VC-style diligence, hedge-fund-like liquidity management, and direct protocol participation because digital assets and decentralized networks require technical and financial expertise. Defining generalized mining / mining 2.0 (Priority: 5/5): Generalized mining is framed as any third-party supply-side service to a decentralized network in exchange for network compensation—ranging from proof-of-stake validation to storage, computation, curation, market-making, and liquidity provision. Why early-stage networks need active support (Priority: 5/5): The guests emphasize chicken-and-egg problems in protocols like LivePeer, Maker, and Filecoin, where funds can help bootstrap supply, demand, or usage, sometimes even at a temporary loss, to accelerate network effects. Returns, incentives, and token value capture (Priority: 4/5): They distinguish between economically rational in-protocol returns (like staking) and strategic loss-leading support (like creating DAI or supplying Filecoin storage early), arguing that value usually accrues primarily in tokens/protocols rather than equity. Generalized mining beyond proof-of-stake (Priority: 4/5): The discussion broadens the concept beyond staking to include proof-of-work, hardware-intensive services, software-driven roles, arbitrage, and algorithmic participation in networks such as Steemit and MakerDAO. Professionalization vs decentralization (Priority: 4/5): The guests debate whether the trend makes networks more professionalized or more decentralized. Jain argues professional operators can strengthen decentralization by adding real value, while Shin raises concerns about everyday participation. Regulatory, tax, and fund-structure implications (Priority: 3/5): The conversation covers LP agreement flexibility, direct network participation, hiring more technical staff, and tax issues like UBTI, highlighting the operational complexity of generalized mining for funds and tax-exempt investors.
Key Arguments: Crypto funds are neither pure VC nor pure hedge funds; they are hybrid vehicles that need technical, financial, and operational capabilities to participate effectively in decentralized networks. Generalized mining is broader than staking: it includes any supply-side contribution that helps a decentralized network function and can be compensated by protocol-issued assets. Early-stage protocols often need investors to act strategically, even loss-leading, to solve chicken-and-egg problems and bootstrap network effects. Most value in crypto networks is expected to accrue in the protocol/token layer, but investing in companies building on top can still be rational if it strengthens the underlying network. In-protocol opportunities like staking are often economically rational on their own, while actions like supplying unused Filecoin storage or minting more DAI are strategic ecosystem-support bets. Generalized mining may become a portfolio construction tool that combines lower-risk token-denominated yield with higher-risk, VC-like upside from network growth. Professional operators and small technical teams may be better suited than ordinary users to contribute meaningfully to these networks. Regulatory and tax constraints, especially UBTI for tax-exempt investors, make generalized mining more complex than simply buying and holding tokens.
Data Points: CoinFund launch date: July 2015 - Jake says CoinFund was one of the first crypto asset-focused funds in the US. Multicoin launch timing: 2017 / went live last year - Tushar says he and Kyle Samani decided to launch in early 2017 and went live last year. Ethereum addresses in LivePeer Merkle mine: 2.6 million - Jake describes the LivePeer Merkle mine as an airdrop to 2.6 million Ethereum addresses. Stake return range: 5% to 20% per year - Jake notes typical staking opportunities may yield token-denominated returns in this range. MakerDAO / DAI market cap example: $60 million DAI vs $2 billion Tether - Tushar uses this comparison to show why more DAI supply may be needed for exchange support. LivePeer validators: 15 validators - Jake mentions that LivePeer required crossing a threshold of LPT ownership to become an active validator. Layer-two projects with tokens: 3 of roughly 15-20 projects - Jake says only a few layer-two projects currently have tokens, limiting direct token exposure.
Pivotal Quotes: "we are able to help increase the chances that our portfolio company's network effects actually catch on" — Tushar Jain: Explaining why investors may participate directly in networks to bootstrap adoption. "the vast majority of the value that is created through this blockchain ecosystem is going to be captured in some base layer protocols" — Tushar Jain: His defense of the FAT protocols thesis and why base-layer protocols may still dominate value capture. "The investments into protocols that are followed by supporting the protocol can exist longer into the protocol's life cycle. But if at the medium stage or late stage maturity of the protocol, it's still reliant on investors' goodwill ... then the protocol has failed" — Jake Bruckman: On why generalized mining is most useful early, before a network should stand on its own.
Implications: Generalized mining may become a standard crypto fund strategy, rewarding technical teams that actively bootstrap networks. But it also raises questions about decentralization, tax treatment, and how value accrues across tokens, equity, and middleware.