20VC: Thrive & OpenAI Partnership | Eventbrite Acquired for $500M | Databricks Raising $5BN at $134BN Valuation: Cheap or Not? | Why SaaS is Like Japan and The TAM Trap in Software
Episode
72 min
Read time
2 min
Topics
Productivity, Personal Finance, Relationships
AI-Generated Summary
Key Takeaways
- ✓Databricks Valuation Framework: Databricks trades at 32x revenue with 55% growth versus Snowflake at 20x with 28% growth, posing the fundamental question of how much premium to pay for extra growth velocity. The company's rare reacceleration at scale justifies premium pricing, as only one public company grows above 30% besides Palantir at 50%.
- ✓The TAM Trap Reality: Public SaaS companies now grow at 16% on average, the slowest rate ever recorded. Companies like Zoom, Box, and Dropbox saturated their markets faster than expected, with adjacent markets already occupied by venture-backed competitors. Market penetration limits create valuation compression regardless of execution quality or founder capability.
- ✓AI Efficiency Revolution: Companies achieve 2-3x more revenue per employee than 2021 levels, with Microsoft declaring permanent peak headcount. The expectation shifts to 100% revenue growth with only 50% headcount growth. Traditional seat-based pricing faces existential threats as AI reduces labor needs, forcing companies to rethink pricing models tied to value delivery rather than user counts.
- ✓Security as Competitive Moat: Salesforce permanently removed Gainsight and Drift from their platform following security breaches, with ransom demands hitting 700 organizations. Incumbents leverage security concerns to restrict third-party access while promoting their own agent products. Security teams remain undersized relative to risk, creating advantages for established platforms with robust infrastructure.
- ✓AI Application Defensibility: Model providers like Google clone applications within months, as demonstrated by their Replit competitor launch. Hard technical problems like databases provide more defensibility than front-end applications. Vertical AI applications in wealth management, compliance, and specialized domains offer protection from model provider competition compared to horizontal coding tools vulnerable to rapid commoditization.
What It Covers
Harry Stebbings, Jason Lemkin, and Rory Driscoll analyze Databricks raising $5B at $134B valuation, OpenAI's strategic refocus, PagerDuty and Eventbrite acquisitions at depressed valuations, and the emerging TAM trap facing SaaS companies.
Key Questions Answered
- •Databricks Valuation Framework: Databricks trades at 32x revenue with 55% growth versus Snowflake at 20x with 28% growth, posing the fundamental question of how much premium to pay for extra growth velocity. The company's rare reacceleration at scale justifies premium pricing, as only one public company grows above 30% besides Palantir at 50%.
- •The TAM Trap Reality: Public SaaS companies now grow at 16% on average, the slowest rate ever recorded. Companies like Zoom, Box, and Dropbox saturated their markets faster than expected, with adjacent markets already occupied by venture-backed competitors. Market penetration limits create valuation compression regardless of execution quality or founder capability.
- •AI Efficiency Revolution: Companies achieve 2-3x more revenue per employee than 2021 levels, with Microsoft declaring permanent peak headcount. The expectation shifts to 100% revenue growth with only 50% headcount growth. Traditional seat-based pricing faces existential threats as AI reduces labor needs, forcing companies to rethink pricing models tied to value delivery rather than user counts.
- •Security as Competitive Moat: Salesforce permanently removed Gainsight and Drift from their platform following security breaches, with ransom demands hitting 700 organizations. Incumbents leverage security concerns to restrict third-party access while promoting their own agent products. Security teams remain undersized relative to risk, creating advantages for established platforms with robust infrastructure.
- •AI Application Defensibility: Model providers like Google clone applications within months, as demonstrated by their Replit competitor launch. Hard technical problems like databases provide more defensibility than front-end applications. Vertical AI applications in wealth management, compliance, and specialized domains offer protection from model provider competition compared to horizontal coding tools vulnerable to rapid commoditization.
Notable Moment
Jason Lemkin challenges the venture industry's momentum obsession by defending slower-compounding businesses like Wealthfront, arguing that Charles Schwab has outlasted nearly every tech company from the 1980s and now trades at $60-80B, demonstrating that off-trend investments with long compounding periods often outperform hyped deals.
Episode Transcript
Google did a code red three years ago on them, and now they're doing a code red back. How much extra in multiple do you pay for how much extra in growth? The majority of the pilot task on this, I think, are in a in a TAM trap. Overpayment only works when the TAM is huge. In finite times, you got a bit more tightly. Did SaaS has become like Japan? That's another Like, it's a great economy, but but if everyone only has point nine kids, there's only only so many seats to go around. I think in the fastest growing companies that I've invested in, no one gives a rat's ass about the bottom line. This is 20 VC with me, Harry Stebbings, and I'm so excited to bring you our episode from Sasta live in London. Jason Lemkin, Wario Driscoll, and I sit down to discuss the biggest news in tech this week. But before we dive into the show today, now most people who get scammed never talk about it. And if it can happen to tech savvy professionals, CEOs, and investors, it can happen to anyone. But the problem isn't just losing money, it's that today's scams, they're built differently for a very new world, one where AI can generate convincing messages in seconds and fake sites look more like real sites than the real thing. Traditional tools were not built for this future, and that's why Guardio exists. Guardio is this incredible predictive and proactive engine. It leverages advanced AI threat detection to block highly targeted, socially engineered scams before they ever reach you. From phishing emails and fake login pages to financial fraud, Guardio protects you across the ways people actually live and work online. And security shouldn't be complicated. Guardio continuously monitors across all your accounts and devices, uncovering risks in real time and guiding you to close gaps before attackers exploit them. Trusted by over a million users, Guardio is setting the new standard for personal cybersecurity. Visit guard.io/20vc today to start your seven day free trial because the threats of tomorrow, they're already here and Guardio is built to stop them. And as guard.io defends your clicks, HubSpot turns them into customers. You wanna grow your company. Right? But instead of having the time to get to the next level, you're stuck maintaining the status quo. It's freaking maddening. Well, HubSpot's customer platform, it actually solves this. Breeze. No, it is not a fabric refreshener. This is the next generation. Their built in AI takes over all the busy work. It writes emails. It qualifies leads. It answers common customer questions and even help create content. Also, your marketing, your sales, your service teams can focus on what matters most and the impact is undeniable. Teams are saving seven hundred and fifty hours a week. One even increased leads by 251%, and these results show up in days, not months. Over 238,000 businesses already use HubSpot, so join them. …
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company
“PagerDuty and Eventbrite acquisitions at depressed valuations”
“Microsoft declaring permanent peak headcount”
“Salesforce permanently removed Gainsight and Drift from their platform following security breaches”
“Salesforce permanently removed Gainsight and Drift from their platform following security breaches”
- Charles SchwabRecommended
“Charles Schwab has outlasted nearly every tech company from the 1980s and now trades at $60-80B, demonstrating that off-trend investments with long compounding periods often outperform hyped deals”
“Jason Lemkin challenges the venture industry's momentum obsession by defending slower-compounding businesses like Wealthfront”
“Companies like Zoom, Box, and Dropbox saturated their markets faster than expected”
“Harry Stebbings, Jason Lemkin, and Rory Driscoll analyze Databricks raising $5B at $134B valuation”
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