The Twenty Minute VC (20VC)
The Twenty Minute VC (20VC)

20VC: Investing Lessons from FC Seeding Uber, Airtable and Coupang | Why Pro Rata is the Original Sin in VC | Why Liquidity Has Died in 2024 | Why LPs are Pissed with VCs | The Hard Truth About Seed Fund Economics with David Frankel @ Founder Collective

David Frankel is the Co-Founder and Managing Partner of Founder Collective, one of the best seed firms of the last decade. David has led rounds in companies such as Suno, Coupang, SeatGeek and PillPack (sold to Amazon for ~$1B). Previously, David was Co-Founder and CEO of Internet Solutions (IS), th

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Episode Summary

Executive Summary: David Frankel argues that great seed investing still works in a world of bigger rounds if funds stay non-consensus, disciplined on reserves, and aligned with founders. He warns that pro rata and oversized capital often harm entrepreneurs, sees DPI pressure and illiquidity as a real LP problem, and believes AI will create huge companies but seed funds must avoid overpriced hype. He also emphasizes patience, founder quality, and loyalty over themes.

Main Topics: Seed investing in a world of larger rounds (Priority: 5/5): Frankel explains how traditional seed funds can still win by backing non-consensus founders, offbeat markets, or overlooked categories even as seed checks expand to $6M-$10M rounds and valuations rise. Reserves, dilution, and capital discipline (Priority: 5/5): He calls reserve strategy one of venture’s hardest problems, saying funds must adapt rules to the market, avoid overcommitting, and think carefully about time, ownership, and fund size. Pro rata, prefs, and founder alignment (Priority: 5/5): Frankel is strongly critical of pro rata as a free option against founders, defends preferred stock as fair, and argues that ownership, board seats, and check size must reflect real economic alignment. DPI, liquidity, and LP frustration (Priority: 5/5): He says DPI pressure is rising because 2018-plus funds have struggled to return cash, and believes exit markets, especially IPOs, need a strong signal event to reopen meaningfully. Founder quality, patience, and failure (Priority: 4/5): Frankel stresses that investing is about backing people, not themes, and says failed founders often come back hungrier, while patience and pain tolerance are essential to surviving venture and entrepreneurship. AI, capital intensity, and market structure (Priority: 4/5): He thinks AI will create extraordinary winners, but seed investors should avoid inflated rounds unless they can genuinely underwrite massive upside; he expects short-term disappointment and long-term transformation. Incumbents as ‘leeches’ and the role of venture (Priority: 4/5): Frankel describes legacy incumbents as ‘leech’ businesses that resist disruption through lobbying, legal and PR warfare, and argues VCs add value by helping founders fight back strategically.

Key Arguments: Non-consensus remains the edge in seed: old markets, new markets, and ignored founder profiles still produce venture-scale outcomes. Reserves are difficult because market conditions shift; rules made in one vintage can become obsolete two years later. Pro rata is effectively a free option for investors and a burden for founders, especially when the company is struggling. Preferred equity is fair because investors should get their money back before common holders share in upside. Board seats and large ownership are about time and alignment; if the check is too small relative to the fund, the investor may not truly show up. LPs are demanding DPI because recent vintages were marked by too much capital, inflated prices, and fewer realizable exits. Small funds can still return capital with a few 10x outcomes; they do not need unicorn-or-bust outcomes to succeed. AI will create massive winners, but seed funds cannot rely on the generational outliers at extreme prices to build a strategy. Founders often underestimate how much markets, not just company execution, determine outcomes and financing terms. VC value is increasingly in matchmaking, financing discipline, and helping founders navigate legal/regulatory battles with incumbents.

Data Points: Startup failure rate linked to cash burn: Nearly 40% - Brex sponsorship claim cited in the intro about startups running out of money Brex usage among U.S. startups: 1 in every 3 startups - Intro sponsorship message Brex FDIC protection: 20x standard FDIC protection - Intro sponsorship message Blinkist library size: 7,500+ non-fiction books and podcasts - Intro sponsorship message Blinkist user base: 32 million users - Intro sponsorship message Founder Collective Fund 1 reserves: Zero reserves - Frankel explained the firm initially ran no reserve strategy Trade Desk follow-on check: Between $500K and $1M - Example of a follow-on investment made when a company needed help Founder Collective fund size: $75 million - Used to illustrate reserve constraints and ownership math Initial capital after fees in a $75M fund: About $35 million - Frankel described fee drag and capital available for investing Typical check capital after reserves: About $25 million - Used to explain how few investments a small fund can make Running Tide burn rate: $3 million/month - Example of a company burning too quickly before shutdown Running Tide cash raised: $10 million - Example of a company that ultimately closed Olo ARR at fundraising attempt: $50 million ARR - Frankel cited this as a business that was hard to fundraise for despite scale PBM industry size: Hundreds of billions of market cap - Used as an example of a legacy incumbent category adding little value SeatGeek / Live Nation example: 1 to 3 nights in Boston - Illustration of how Live Nation can pressure venues into exclusivity SaaS public market multiple peak: 20x - Frankel contrasted 2021 SaaS multiples with later compression SaaS public market multiple later: 5-6x - Used to explain tighter private round pricing Example later-stage private round: 100 million pre-money - Frankel described doing a small check into a highly competitive AI round Mistral first round valuation: $250 million - Frankel said it was too high for a seed manager to justify Mistral later valuation: $500 million - Follow-on example showing how quickly AI rounds can move IPO distribution example: Trade Desk 25x - Mentioned as an example of strong upside realized by LPs Uber outcome example: $150 billion - Used to emphasize the magnitude of Uber as an investment Sequoia Green Fund timing: Unfortunate timing - Frankel said the structure may have been sound but launched at a poor moment Current fund vintage concern: 2018+ funds - Frankel said these vintages are seeing little or no DPI so far Current vintage comparison: 2020 fund likely okay - Frankel contrasted 2020 vintages with more worrying 2018 vintages LP allocation minimum example: Less than $10 million = out - A family office decided to exit a fund where its allocation would be too small Uber fund returner: Multiple times - Frankel said Uber returned capital many times over for the firm PillPack fund return: Returned Fund 2 - Cited as a meaningful fund-returning outcome Small fund return math: 4 companies at 10x can return the fund - Frankel’s argument for why small funds can thrive without giant outcomes Secondary guidance: Under 10% off the table - Frankel said small secondaries are generally acceptable for founders Founder Collective time allocation: 95% companies / 3% fundraising - Frankel emphasized the firm spends most time on sourcing and supporting startups

Pivotal Quotes: "I still think of like pro rata as like the original sin against entrepreneurs." — David Frankel: On why pro rata gives investors a free option and hurts founders "You own your own destiny by minding your monthly burn." — David Frankel: On capital discipline and how founders can control their fate "DPI could be dead." — David Frankel: On LP pressure, illiquidity, and the challenge facing 2018-plus venture funds

Implications: Seed funds must stay disciplined, small, and founder-aligned as capital gets pricier and exits slower. LPs will increasingly judge managers on real liquidity, while AI and legacy disruption offer upside only for firms that can underwrite true non-consensus bets.

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