Jan 2, 2019 · 29m · a16z
a16z Podcast | The Rise of the Quasi-IPO
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In this episode of the a16z Podcast, hosts Scott Kupor, Morgan Bender, and Benedict Evans analyze tech sector valuations using historical venture capital data to determine whether current market conditions reflect a financial bubble. By examining the rise of late-stage private growth rounds, or 'quasi-IPOs,' they demonstrate that modern valuations are supported by solid macroeconomic expansion, rational capital distribution, and structural changes in equity markets rather than dot-com style euphoria.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →
speaking balance: gold is the host, purple is the guest (3 minute bins)
Benedict directly questions the team's data methodology, arguing that price inflation makes setting an arbitrary $40 million threshold potentially misleading.
Hardest push from the host ▶ 13:50 Defending holistic data methodologyScott counters Benedict's methodological challenge by explaining that analyzing total stacked venture and public funding strips away threshold definitions.
Biggest teaching moment ▶ 22:26 Explaining liquidation preference mechanicsBenedict clarifies how corporate structure terms like 3x liquidation preferences mean headline valuation figures in press releases distort actual economic reality.
The host holds their own ▶ 11:15 Institutional mutual fund pressure analysisScott demonstrates high domain expertise by explaining how mutual funds like Fidelity and T. Rowe Price are forced into private late-stage rounds to beat S&P 500 benchmarks given flat revenue at public incumbents.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The host as informed peer | Guest teaching | Guest disagreement | The host pushing back | Why |
|---|---|---|---|---|---|---|
| Contextualizing Tech Market Data and Historical Comparisons | 5 | 3 | 1 | 1 | Scott sets up the context of the study and contextualizes $50 billion headlines like Uber against past bubble metrics. Benedict shares historical perspective on sovereign wealth fund orders during the dot-com era in a collaborative tone. | |
| Challenges and Methodology in Venture Data Collection | 4 | 4 | 1 | 1 | Morgan details the difficulties of compiling reliable historical venture datasets across public and federal sources. Benedict adds nuance regarding the lack of public financial disclosures for private tech companies. | |
| Debunking the Public Tech Market Bubble Myth | 5 | 6 | 1 | 1 | Benedict demonstrates that public tech market metrics and PE ratios show no bubble relative to user growth and internet revenue since 1999. Scott accurately synthesizes the macroeconomic argument regarding tech's expanding economic share without out-of-whack valuations. | |
| The Rise of Late-Stage Growth Rounds and Institutional Capital | 8 | 2 | 1 | 2 | Scott takes the lead as expert when prompted by Benedict, delivering a detailed breakdown of mutual fund benchmark pressures. He explains how flat revenues at public incumbents like IBM force mutual funds into late-stage private rounds to find growth. | |
| Defining Quasi-IPOs and Setting Funding Thresholds | 6 | 5 | 4 | 4 | Benedict politely challenges the methodology behind setting a fixed $40 million threshold for quasi-IPOs due to price inflation over time. Scott and Morgan defend the analytical framework by explaining that looking at stacked funding holistically negates arbitrary threshold distortion. | |
| Analyzing Funding Distribution by Company Age Cohorts | 7 | 6 | 2 | 2 | Benedict highlights how 55 percent of funding went to young startups during the dot-com bubble compared to 20 percent today. Scott adds crucial expertise by comparing the $150 million plus revenues of modern IPOs with $12 million revenue dot-com IPOs. | |
| The Reality of Seed-Stage Proliferation and Failure Risk | 7 | 5 | 2 | 2 | Benedict explains that while seed volume has exploded, it represents only 5 percent of total capital, creating much smaller fallout craters upon failure. Scott highlights an extreme hypothetical calculation showing Facebook needing a $50 trillion valuation to match Microsoft's public growth path. | |
| Liquidation Structures and Private Market Valuation Mechanics | 6 | 6 | 1 | 1 | Benedict educates on how structural deal terms like liquidation preferences alter true private valuations compared to headline figures. Scott validates the point and extends the idea by analyzing multi-year forecasting risk and market discontinuity. | |
| The Mobile Platform Shift and Expanded Industry Addressable Markets | 6 | 7 | 1 | 1 | Benedict details the massive shift from 1.5 billion PCs to 5 billion mobile devices, using WhatsApp's scale to illustrate expanded market opportunities. Scott connects this massive market expansion to why companies choose to stay private longer to invest heavily in R&D. | |
| Future Liquidity Mechanisms, Secondary Markets, and Podcast Conclusion | 7 | 5 | 2 | 2 | Scott outlines potential future liquidity solutions including secondary trading markets for early investors. Benedict humorously points out that standardizing secondary market trading simply describes a public stock exchange. |