The Twenty Minute VCEventbrite Sold for $500M, Databricks $5B Raise at $134B Valuation & Why SaaS is Like Japan
At a glance
WHAT IT’S REALLY ABOUT
SaaS valuations, TAM traps, AI pricing shifts, and venture relevance battles
- Thrive’s OpenAI partnership is framed as more about VC power-law focus—going deeper with a winner—than a strategically pivotal move for OpenAI.
- Databricks’ rumored $5B raise at a $134B valuation is evaluated against public comps like Snowflake, with the key question being how much multiple premium sustained higher growth (and re-acceleration) deserves.
- Eventbrite’s $500M sale and PagerDuty’s low multiple highlight how slower-growth public SaaS becomes vulnerable to acquisition pressure and how many companies are stuck in a “TAM Trap.”
- AI/agents are reshaping data access, security expectations, and platform control, potentially favoring incumbents that can enforce tighter security and data residency rules.
- The panel argues the industry is moving away from seat-based pricing as AI raises productivity, while venture investing becomes a “relevance game” driven by fast validation cycles, follow-on momentum, and defensibility.
IDEAS WORTH REMEMBERING
5 ideasVC outcomes (and time allocation) are even more power-law than returns.
The Thrive/OpenAI discussion emphasizes that a few winners dominate outcomes, so firms rationally spend disproportionate energy and structure (e.g., holding-company approaches) around their best assets.
Databricks’ premium hinges on whether high growth persists—and whether it re-accelerates at scale.
They compare Snowflake (~20x sales, slower growth) to Databricks (~32x) and argue even a few years of sustained extra growth can justify a big multiple; re-acceleration makes standard deceleration models break.
Slow-growth public SaaS is increasingly “buyable,” often under fiduciary pressure.
Eventbrite’s 50% premium sale illustrates that when growth stalls and the stock languishes, boards struggle to reject credible premiums unless they can defend a superior standalone plan.
Many SaaS companies didn’t “fail strategy”—they hit market saturation and adjacency crowding.
Rory argues the TAM Trap is structural: SaaS proliferation filled core and adjacent categories, leaving limited room for second acts once penetration is high (Zoom as the canonical example).
Security and platform control may become the incumbents’ strongest anti-disruption lever in the agent era.
Examples like Salesforce cutting off Drift and Gainsight are used to argue that as agents move sensitive data everywhere, large platforms may lock down ecosystems—both to reduce risk and to privilege their own agent offerings.
WORDS WORTH SAVING
5 quotesOverpayment only works when the TAM is huge.
— Rory O’Driscoll
SaaS has become like Japan.
— Jason Lemkin
It's a great economy, but, but if everyone only has .9 kids, like, I mean, there's only, only so many seats to go around.
— Jason Lemkin
I think the majority of the public SaaS companies- I think are in a, in a TAM trap. A TAM trap.
— Jason Lemkin
One of the big-picture things I think that's always true in investing is whenever you see a product that only really rich people have—If you can find a way to get that in the hands of the rest of us, we all want it too.
— Rory O’Driscoll
High quality AI-generated summary created from speaker-labeled transcript.
