# Lucas Swisher on How Mega Funds Can Still Do 5x Returns & Why Big Markets are the Most Important Source: https://www.youtube.com/watch?v=Hom5OMMzOQ0 Recap page: https://rapidrecap.app/video/Hom5OMMzOQ0 Generated: 2026-02-23T15:33:41.931+00:00 --- ## Quick Overview Lucas Swisher asserts that price matters least when evaluating high-growth private companies, emphasizing that the focus must be on identifying platform companies in gigantic TAMs capable of delivering 100x or greater outcomes, as they drive the majority of venture capital value creation. **Key Points:** - The public SAS market struggles because the AI wave questions the terminal value of software annuities, causing investors to question which SAS companies will survive. - Swisher states that when evaluating exponential growth companies, valuation is the last question answered; the primary focus is finding companies on a curve that can 5x, then 3x again, such as a company growing from $20M ARR to $600M ARR quickly. - The critical test for an investment is determining if the company can become an enduring public company potentially worth $50 billion or $100 billion market cap, requiring belief in $50 billion of revenue to go get. - Mega funds can still achieve venture-like returns because companies are staying private longer and achieving bigger outcomes, allowing funds to deploy large checks and double down on winners, which is necessary for fund math. - Swisher believes that market size is the first principle; a great founder in a small market struggles to reach $100 billion valuation compared to a good founder in a gigantic market. - Margin matters at scale, but early-stage technology shifts, like AI, can feature horrific margins initially, citing Snowflake and Data Bricks as examples where this was misleading. - The 'kingmaking' concept is dismissed; while large capital concentration provides an advantage, it does not guarantee success or prevent other businesses from building great value. **Context:** The discussion is an interview between a podcast host and Lucas Swisher, co-lead of the growth fund at CO2, focusing on current dynamics in public Software as a Service (SaaS) markets and the investment strategy required to achieve significant returns (like 5x or more) in the private technology investment landscape, particularly in the context of the ongoing AI wave. ## Detailed Analysis Lucas Swisher argues that in the current environment, price matters least for high-growth private companies, contrasting with the public market distress caused by AI questioning the terminal value of traditional SaaS models. He emphasizes that venture capital returns are disproportionately driven by a small number of platform companies—only four companies generated 65% of the total enterprise value in the private markets recently—necessitating a focus on identifying opportunities in gigantic Total Addressable Markets (TAMs). Swisher's investment framework prioritizes market size first, followed by the founder's ability to reinvent the company across multiple S-curves, using Data Bricks as an example of continuous reinvention. For high-growth investments, valuation is secondary; the key is believing the company can achieve massive scale, perhaps $50 billion in revenue with 30% margin minimum, which justifies seemingly high entry valuations if subsequent growth is exponential. He favors concentrating capital into a few generational bets, preferring the opportunity to double down at higher prices over spraying capital early on, as the best round is often the double-down round. Furthermore, Swisher notes that technology architecture shifts render old metrics like immediate high gross margins misleading, as infrastructure businesses often have low initial margins that improve later as costs (like inference) decline, potentially leading to higher eventual operating margins despite lower gross margins. ### Public vs. Private Market Dynamics - Public SAS companies are suffering because the AI wave challenges their assumed annuity-like terminal value - Investors are unsure which SAS companies will survive the uncertainty created by models from Anthropic, OpenAI, and others. ### Investment Evaluation Framework - For exponential growth, valuation is the last question; the primary focus is finding companies on a curve that can 5x and then 3x again - The essential test is whether the company can become an enduring $50B to $100B public company. ### Mega Funds and Return Potential - Mega funds can achieve venture returns because companies stay private longer, allowing for larger investments and double-downs - Spray and prey does not work for large funds; concentration in few, big checks is necessary for math to work. ### The Primacy of Market Size - Market size is the first principle; a great founder in a small TAM struggles to reach $100 billion valuation compared to a good founder in a giant market - Platform companies that skip TAMs repeatedly are the focus. ### Margin Nuances in Tech Shifts - Traditional SaaS metrics like high gross margin are misleading early in architecture shifts like AI - Infrastructure businesses like Snowflake and Data Bricks had horrific margins early on, but eventual operating margins may be higher due to efficiency gains elsewhere. ### Investor Focus Areas - Swisher avoids pre-revenue companies at high valuations, contrasting with investors focused there due to being locked out of top platform companies like OpenAI or Anthropic. ### Exit Pathways and Public Markets - Companies stay private longer, but going public offers real capital at scale and serves as an incredible feedback mechanism for founders via public market analysts.