Dec 4, 2025 · 1h 11m · 20vc
Eventbrite Sold for $500M, Databricks $5B Raise at $134B Valuation & Why SaaS is Like Japan · 20VC with Harry Stebbings
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In this live episode of 20VC, Harry Stebbings, Jason Lemkin, and Rory O'Driscoll deliver a comprehensive analysis of modern SaaS valuations, the saturation of traditional software markets, and how artificial intelligence is rewriting the rules of startup pricing, capital efficiency, and vertical market defensibility.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 14.2% of the talking time here. How this is scored →
Harry as informed peer 4.3 Guest teaching 3.6 Guest disagreement 2.8 Harry pushing back 3.3
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 1:01:17 Rory rejects host premise on Series B deal competition
Rory firmly defends his strategy against Harry's accusation that his thesis is merely a coping mechanism for losing competitive deals to Andreessen, Founders Fund, and Sequoia.
Hardest push from Harry ▶ 1:00:44 Harry delivers savage challenge on Valley Series B dynamicsHarry asks Rory directly and bluntly if he champions slow compounding investments simply because he cannot beat top Valley firms at Series B.
Biggest teaching moment ▶ 58:00 Rory uses 1983 public market comparison to educate hostRory challenges Harry to name five tech companies that went public in 1983 alongside Schwab to demonstrate the enduring value of long-term compounding businesses over short-lived hype.
Harry holds his own ▶ 51:52 Harry rejects wealthtech thesis citing opportunity costHarry uses historical venture performance benchmarks and opportunity cost logic to challenge Rory's excitement about investing in wealth management startups.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Thrive Capital's Partnership with OpenAI | 2 | 3 | 3 | 1 | Harry introduces the Thrive and OpenAI partnership narrative. Rory quickly redirects the premise, pointing out that OpenAI's focus shifted within 24 hours to an internal code red rather than this holding company deal. | |
| Analyzing Databricks' Valuation and Re-acceleration | 4 | 3 | 1 | 1 | Harry opens with detailed metrics on Databricks valuation and revenue multiples. The conversation remains highly collaborative as Rory and Jason analyze valuation growth premiums. | |
| The Databricks vs. Snowflake Oligopoly and Enterprise Data Strategy | 5 | 4 | 3 | 6 | Harry quotes Databricks CRO Ron Gabrisco and pushes Jason on CRM evolution versus pure database layers. When Jason cites Benioff's 2000-person Agentforce commitment, Harry pushes back that intention does not equal execution ability. | |
| Security Concerns and Platform Lockdown in the AI Era | 1 | 2 | 2 | 1 | The segment is primarily a dialogue between Jason and Rory regarding security breaches and platform lockdowns at Salesforce and OpenAI. Harry mostly listens as the guests exchange views on enterprise defensibility. | |
| The Harsh New Reality of Slow-Growth SaaS: Eventbrite & PagerDuty | 4 | 3 | 2 | 2 | Harry brings breaking M&A data on Eventbrite and PagerDuty to the table off-script. Rory adapts smoothly and explains public market buyout dynamics and PE playbook options. | |
| The "TAM Trap" and the Saturated SaaS Ecosystem | 4 | 5 | 3 | 3 | Harry questions whether market size assumptions for software investments have fundamentally changed. Jason coins the phrase 'The TAM Trap' to describe how legacy SaaS market saturation blocks expansion. | |
| The Death of Seat-Based Pricing and the Rise of Value-Based Models | 5 | 3 | 1 | 2 | Harry demonstrates domain knowledge by referencing Twilio founder Jeff Lawson's takes and Workday regulatory filings on seat contraction. Jason and Rory expand on macro workforce efficiency shifts. | |
| Growth vs. Efficiency: How AI Startups Are Redefining Capital and Labor | 4 | 4 | 2 | 2 | Harry pushes on whether VCs now expect both hypergrowth and extreme capital efficiency simultaneously. Rory breaks down how AI startups substitute capital for headcount. | |
| Vibe Coding, Google's Entry, and the Defensibility of AI Apps | 4 | 3 | 2 | 2 | Harry prompts a discussion on Google launching a competitor to Replit and Lovable. Jason reviews Google's product limitations while Rory details why model providers will avoid niche vertical applications. | |
| Disrupting Wealth Management: AI, TAM, and Slow Compounding Machines | 7 | 5 | 4 | 8 | Harry directly rejects Rory's excitement about Range and wealthtech startups, arguing that wealthtech historically yields weak venture returns. Rory counters by emphasizing long-term compounding machines like Charles Schwab. | |
| Venture Capital Strategy: Hype, Momentum, and the Long Game | 8 | 4 | 6 | 9 | Harry challenges Rory with a blunt question on whether praising slow compounders is just a rationalization for losing competitive Series B deals to top Silicon Valley firms. Rory forcefully rejects the premise. | |
| Beyond Wrap Layers: AI Solving Complex, Real-World Regulated Problems | 3 | 4 | 5 | 2 | Jason and Rory explore real-world regulated use cases like estate planning and taxes. Rory playfully turns the tables on Harry, mocking his perspective as a rich podcast host out of touch with early-stage founders. |
Statements from this episode (36)
Lemkin: Most Private SaaS Companies Are Caught in a TAM Trap
“The majority of the private tax companies, I think, are in a TAM trap.”
O'Driscoll: Paying Premium Valuations Only Works in Massive Markets
“Overpayment only works when the TAM is huge.”
Lemkin: SaaS Growth Has Stagnated Like Japan's Population
“SAS has become like Japan. It's a great economy, but if everyone only has .9 kids. I mean, there's only, only so many seats to go around.”
Lemkin: Fastest-Growing Portfolio Companies Do Not Care About Profitability
“I think in the fastest growing companies that I've invested in, no one gives a rat's ass about the bottom line.”
O'Driscoll: OpenAI Is in Code Red Mode, Delaying Expansion
“That's the OpenAI story from a day ago, and the OpenAI story today is almost the exact opposite. It's the code red, focus on the core, and almost like a statement that says, all the other things we've been doing, we ain't doing them now. We're just going to be…”
Lemkin: VCs Should Focus Almost Exclusively on Top Winners
“There's like only a couple of deals that matter to VCs. So when you, you'll see a VC stay on a board for 20 years and you'll see them always hanging out with this one CEO and Thrive has a lot of winners, right? But this is a big winner, right? And so anything …”
O'Driscoll: A VC's Best Marketing Is Staying Close to Top Winners
“First of all, I think it's a great deal for Thrive because Jason's right. The whole trick in venture is we try and pretend we matter, but in our hearts, we know our best companies matter and the best marketing you can do is get as close as possible to your big…”
O'Driscoll: OpenAI Gains Little Tangible Benefit From Thrive Capital Deal
“The advantage to OpenAI is much less clear. I'm not sure they're putting in money. In one of the press releases, they said they're going to get a lot of specific data from some of these verticals that Thrive is pushing into, but my guess is I know who was ecst…”
O'Driscoll: Palantir Is the Only Public Software Company Growing Over 30%
“There is literally only one public company growing more than 30%, and that's Palantir.”
Lemkin: Databricks Would Be the Second Best Public Software Company
“I think the simple answer is it would be the second best public company if it were public today.”
O'Driscoll: Only 1 in 10 Companies Re-Accelerate Growth for Two Years
“Maybe one in three companies does it for a single year. Only one in 10 does it for two years. Very rarely seen re-acceleration when you're already at 50%, for God's sake.”
O'Driscoll: Databricks and Snowflake Will Fight Fiercely for 10 Years
“They're going to struggle and fight against each other for the next 10 years, just like SAP and Oracle fought against each other for the last 20.”
O'Driscoll: Enterprise AI Will Enrich Systems Integrators Over Next Decade
“There's no doubt that AG force can get a fair slug of the market, but I'm also sure that at the high end, there'll be a bunch of wonderfully bespoke projects that will make systems integrators rich for the next decade.”
Lemkin: AI Security Concerns Will Benefit Incumbent Enterprise Platforms
“I think security is going to benefit the incumbents. I think we're going to be worried that our agents are depositing our data in a hundred different places”
Lemkin: Drift Is Completely Dead After Being Banned by Salesforce
“They kicked Drift off five months ago. Drift will never come back. It is dead. It is completely dead.”
Lemkin: Startups Are Barely Discussing AI Security in Board Meetings
“I don't know how many board meetings you guys have been in where the first half of this presentation was how we're going to be more secure in the age of AI, but for me, it's been close to zero.”
O'Driscoll: Low-Growth Public SaaS Boards Are Forced to Accept Buyouts
“When you're public and your stock is floating around nowhere at a low valuation, you're just very vulnerable to this. Someone comes into view, they are, you know, you're not growing quickly. They offer you a 50% premium and you get called in, but the board get…”
Lemkin: Combining Legacy SaaS With AI Startups Fails to Yield 15x Valuations
“We see a lot of talk of this, but right now we're not seeing a lot of these mashed together legacy company at hundreds of millions in B to B and hot AI startups and magically flipping it into a 20 X, 15 X era company.”
Lemkin: Average Public SaaS Growth Has Dropped to Historical Low of 16%
“The average public SaaS company is growing, like, 16%, it feels like no one figured this out. Like, we've never grown more slowly, right? We literally, just in my presentation before, we looked at this chart, no one's ever grown this slowly.”
Lemkin: Founders Should Default to Accepting Acquisition Offers
“This is why I tell founders to take their exits and then say no, because they can go bigger, but by default, take it.”
O'Driscoll: SaaS Startups Need Second Products Much Earlier Than Expected
“One of the big takeaways we've had is the need to be thinking about that second product much earlier than you would have thought. You don't want to wait till you hit.”
Lemkin: HubSpot is 2.8x More Revenue-Efficient Than in 2021
“HubSpot, 2.8 times more efficient than 20 21. Salesforce, two times.”
O'Driscoll: AI Startups Must Shift to Value Pricing Within Two Years
“A year, two years from now, you're going to have to link as a startup. Your pricing to the value delivered and you're going to have to measure.”
Lemkin: Reaching $100M ARR in 10 Months Requires AI and Inbound
“So you literally can't brute force a hundred million in 10 months with humans. It's just maybe, maybe, maybe Larry Ellison or Mark Benioff could, but I don't think anyone else, there's just not enough calls and like, you can't go from one to a hundred in 10 mo…”
O'Driscoll: Public Tech and AI Companies Structurally Suppress Hiring
“But the interesting thing, when I lifted those three categories, the one thing they all have in common is they all don't need people. The big companies can't have people because they gotta be efficient. The model companies don't need people because they just n…”
Lemkin: Big Tech Companies Struggle to Sustain Small AI Initiatives
“One thing that hasn't changed is in the age of AI is big companies only have so many priorities. They can introduce a lot of little, little tests, but at the end of the day, it takes a lot of energy in a big company to Keep a big initiative going because there…”
Lemkin: Google Will Not Copy Specialized Vertical AI Applications
“Google isn't going to copy that. They're not going to copy automating trust, estate planning investment advice tax efficiency, your investment, legacy planning, or maybe it doesn't do all of that, the investment.”
O'Driscoll: Democratizing Luxury Services Creates Strong Investment Opportunities
“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.”
Lemkin: Goldman Sachs and Morgan Stanley Offer the World's Worst Products
“There's the world's crappiest product, which are Goldman Sachs and Morgan Stanley, which take one percent of your assets and do nothing.”
O'Driscoll: Wealthfront Will Become a Compounding Machine Like Charles Schwab
“Over the next 10 or 15 years, that generation is going to get rich. They're going to get rich with Wealthfront. They're going to keep their money there. And it's going to be a compounding machine, just like Charlie Schwab was a compounding machine”
O'Driscoll: 40% of Q1 First-Time Unicorns Already Raised Follow-On Rounds
“40% of the unicorns that raised in Q-one as a unicorn for the first time have already had a follow on round.”
Lemkin: Anthropic Solved AI Coding; Cursor and Replit Just Grafted On
“Claude figured that out. Cursor didn't figure this out. Replit and Lovable and Bolt didn't figure it out. I can tell you the story. Claude figured it out. Anthropic, the guys, you know, once they quit OpenAI, they figured it out and everyone grafted on this, i…”
Lemkin: AI Wealth Management Startups Can Reach $50B Valuations
“If you can take all the friction out of that. All the friction out of retirement, wealth management, investing, trust, redeploying, QSBS, and everything, because of AI, I think you could build a 20, 40, fifty billion dollar company”
O'Driscoll: AI Marshals Complex Domain Knowledge Better Than Humans
“There's a whole bunch of this knowable, but nonetheless complex information that has to be assembled and marshaled. And at the right time, the person who has the question should have to get the right answer. That question can be what form of cancer is this bas…”
O'Driscoll: Invest in Front-End Apps Over Infrastructure in Risky Categories
“I'll say Lovable. And I'll tell you why. I think Superbase is benefiting by the trend of vibe coding. And Lovable is a bet fundamentally. It's in the front end monetizing on vibe coding. One of two things happens. Either vibe coding is a category or it's not. …”
Lemkin: Databases Possess High Defensibility Due to Customer Switching Costs
“Databases are a hard problem. Like you can only lose so much data. You can only have so many issues. You have to figure this out. And five years of investing in a database that everybody uses, it's, it ain't so easy to turn and leave your database.”