Dec 22, 2025 · 53m · capital-allocators

Top 5 of 2025: #4: Alex Sacerdote

Alex Sacerdote · 41m spoken Ted Seides · 6m spoken
0:00 / 0:00

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Whale Rock Capital founder Alex Sacerdote joins Ted Seides on Capital Allocators to break down his career, research methodology, and S-curve investment framework. Sacerdote shares deep insights on AI infrastructure, cloud computing, mega-cap tech valuations, private investing, and navigating cyclical market volatility.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 13.1% of the talking time here. How this is scored →

Ted as informed peer 3.0 Guest teaching 3.9 Guest disagreement 0.5 Ted pushing back 0.0
05100:0015:0030:0045:001:20–3:38 · Ted as informed peer 0/10 Guest Overview and YouTube Video Expansion Introductory monologue and announcement about YouTube expansion from host Ted Seides without guest interaction.3:39–6:50 · Ted as informed peer 3/10 Early Influences, Wall Street Exposure, and First Industry Roles Ted asks warm introductory questions about Alex's early interest in investing and Wall Street upbringing, prompting Alex to recount his father's career and early roles.6:51–9:37 · Ted as informed peer 3/10 Formative Years at Fidelity and the Amazon Thesis Alex details his formative internship at Fidelity, visiting Amazon, and developing his early thesis to buy the market leader and short everything else.9:38–11:46 · Ted as informed peer 3/10 Pitching Portfolio Managers and the Fidelity Research Culture Alex discusses pitching portfolio managers at Fidelity under Peter Lynch's egg-timer method and learning diverse investment styles.11:47–14:16 · Ted as informed peer 3/10 Compounding Tech Cycles and S-Curve Expansion Alex breaks down how tech cycles compound, highlighting how the iPod naturally morphed into the iPhone and created massive adoption curves.14:21–19:42 · Ted as informed peer 3/10 Whale Rock's Three-Part Investment Framework Alex outlines Whale Rock's core three-part framework: S-curves, competitive advantages, and underappreciated exponential earnings power, comparing tech to traditional Buffett views.19:51–22:21 · Ted as informed peer 4/10 S-Curve Inflection Points and the Cloud Computing Case Study Alex describes how to identify S-curve inflection points and dynamic expansions, sharing a case study on cloud computing TAM estimation.22:25–29:09 · Ted as informed peer 4/10 The Whale Rock Learning Machine and Primary Research Alex explains Whale Rock's intensive primary research process and their quick mobilization to build an AI infrastructure investment thesis after ChatGPT launched.29:13–31:47 · Ted as informed peer 3/10 Executing Shorts Across the S-Curve Lifecycle Alex lays out how the firm identifies short candidates across the S-curve lifecycle, distinguishing between disrupted incumbents and technologies that are too early.31:58–35:33 · Ted as informed peer 4/10 S-Curve Pitfalls and the Electric Vehicle Plateau Alex admits misjudging the EV adoption ceiling in the US and explains how super-leader management was added as an extra evaluation criterion.35:42–41:26 · Ted as informed peer 4/10 Portfolio Construction and S-Curve Thematic Allocation Alex pushes back on the idea of a Mag-Seven bubble, demonstrating how their valuations are supported by massive AI operational efficiencies and data advantages.41:30–44:22 · Ted as informed peer 3/10 Emerging S-Curves: Autonomous Driving and Robotics Alex reviews nascent tech frontiers including autonomous driving, humanoid robotics, and selective late-stage private equity allocations.44:26–48:03 · Ted as informed peer 3/10 Perspective on Crypto, Blockchain Hype, and Stablecoins Alex articulates why blockchain has often represented a false S-curve without killer use cases, contrasting it with the clear utility of stablecoins.48:25–51:21 · Ted as informed peer 2/10 Sustaining Passion, Curiosity, and Building Whale Rock A friendly wrap-up covering Alex's motivations, career resilience through market drawdowns, and personal reflections.1:20–3:38 · Guest teaching 0/10 Guest Overview and YouTube Video Expansion Introductory monologue and announcement about YouTube expansion from host Ted Seides without guest interaction.3:39–6:50 · Guest teaching 2/10 Early Influences, Wall Street Exposure, and First Industry Roles Ted asks warm introductory questions about Alex's early interest in investing and Wall Street upbringing, prompting Alex to recount his father's career and early roles.6:51–9:37 · Guest teaching 4/10 Formative Years at Fidelity and the Amazon Thesis Alex details his formative internship at Fidelity, visiting Amazon, and developing his early thesis to buy the market leader and short everything else.9:38–11:46 · Guest teaching 4/10 Pitching Portfolio Managers and the Fidelity Research Culture Alex discusses pitching portfolio managers at Fidelity under Peter Lynch's egg-timer method and learning diverse investment styles.11:47–14:16 · Guest teaching 4/10 Compounding Tech Cycles and S-Curve Expansion Alex breaks down how tech cycles compound, highlighting how the iPod naturally morphed into the iPhone and created massive adoption curves.14:21–19:42 · Guest teaching 5/10 Whale Rock's Three-Part Investment Framework Alex outlines Whale Rock's core three-part framework: S-curves, competitive advantages, and underappreciated exponential earnings power, comparing tech to traditional Buffett views.19:51–22:21 · Guest teaching 5/10 S-Curve Inflection Points and the Cloud Computing Case Study Alex describes how to identify S-curve inflection points and dynamic expansions, sharing a case study on cloud computing TAM estimation.22:25–29:09 · Guest teaching 6/10 The Whale Rock Learning Machine and Primary Research Alex explains Whale Rock's intensive primary research process and their quick mobilization to build an AI infrastructure investment thesis after ChatGPT launched.29:13–31:47 · Guest teaching 5/10 Executing Shorts Across the S-Curve Lifecycle Alex lays out how the firm identifies short candidates across the S-curve lifecycle, distinguishing between disrupted incumbents and technologies that are too early.31:58–35:33 · Guest teaching 4/10 S-Curve Pitfalls and the Electric Vehicle Plateau Alex admits misjudging the EV adoption ceiling in the US and explains how super-leader management was added as an extra evaluation criterion.35:42–41:26 · Guest teaching 5/10 Portfolio Construction and S-Curve Thematic Allocation Alex pushes back on the idea of a Mag-Seven bubble, demonstrating how their valuations are supported by massive AI operational efficiencies and data advantages.41:30–44:22 · Guest teaching 4/10 Emerging S-Curves: Autonomous Driving and Robotics Alex reviews nascent tech frontiers including autonomous driving, humanoid robotics, and selective late-stage private equity allocations.44:26–48:03 · Guest teaching 4/10 Perspective on Crypto, Blockchain Hype, and Stablecoins Alex articulates why blockchain has often represented a false S-curve without killer use cases, contrasting it with the clear utility of stablecoins.48:25–51:21 · Guest teaching 2/10 Sustaining Passion, Curiosity, and Building Whale Rock A friendly wrap-up covering Alex's motivations, career resilience through market drawdowns, and personal reflections.1:20–3:38 · Guest disagreement 0/10 Guest Overview and YouTube Video Expansion Introductory monologue and announcement about YouTube expansion from host Ted Seides without guest interaction.3:39–6:50 · Guest disagreement 0/10 Early Influences, Wall Street Exposure, and First Industry Roles Ted asks warm introductory questions about Alex's early interest in investing and Wall Street upbringing, prompting Alex to recount his father's career and early roles.6:51–9:37 · Guest disagreement 0/10 Formative Years at Fidelity and the Amazon Thesis Alex details his formative internship at Fidelity, visiting Amazon, and developing his early thesis to buy the market leader and short everything else.9:38–11:46 · Guest disagreement 0/10 Pitching Portfolio Managers and the Fidelity Research Culture Alex discusses pitching portfolio managers at Fidelity under Peter Lynch's egg-timer method and learning diverse investment styles.11:47–14:16 · Guest disagreement 0/10 Compounding Tech Cycles and S-Curve Expansion Alex breaks down how tech cycles compound, highlighting how the iPod naturally morphed into the iPhone and created massive adoption curves.14:21–19:42 · Guest disagreement 1/10 Whale Rock's Three-Part Investment Framework Alex outlines Whale Rock's core three-part framework: S-curves, competitive advantages, and underappreciated exponential earnings power, comparing tech to traditional Buffett views.19:51–22:21 · Guest disagreement 1/10 S-Curve Inflection Points and the Cloud Computing Case Study Alex describes how to identify S-curve inflection points and dynamic expansions, sharing a case study on cloud computing TAM estimation.22:25–29:09 · Guest disagreement 1/10 The Whale Rock Learning Machine and Primary Research Alex explains Whale Rock's intensive primary research process and their quick mobilization to build an AI infrastructure investment thesis after ChatGPT launched.29:13–31:47 · Guest disagreement 1/10 Executing Shorts Across the S-Curve Lifecycle Alex lays out how the firm identifies short candidates across the S-curve lifecycle, distinguishing between disrupted incumbents and technologies that are too early.31:58–35:33 · Guest disagreement 1/10 S-Curve Pitfalls and the Electric Vehicle Plateau Alex admits misjudging the EV adoption ceiling in the US and explains how super-leader management was added as an extra evaluation criterion.35:42–41:26 · Guest disagreement 1/10 Portfolio Construction and S-Curve Thematic Allocation Alex pushes back on the idea of a Mag-Seven bubble, demonstrating how their valuations are supported by massive AI operational efficiencies and data advantages.41:30–44:22 · Guest disagreement 0/10 Emerging S-Curves: Autonomous Driving and Robotics Alex reviews nascent tech frontiers including autonomous driving, humanoid robotics, and selective late-stage private equity allocations.44:26–48:03 · Guest disagreement 1/10 Perspective on Crypto, Blockchain Hype, and Stablecoins Alex articulates why blockchain has often represented a false S-curve without killer use cases, contrasting it with the clear utility of stablecoins.48:25–51:21 · Guest disagreement 0/10 Sustaining Passion, Curiosity, and Building Whale Rock A friendly wrap-up covering Alex's motivations, career resilience through market drawdowns, and personal reflections.1:20–3:38 · Ted pushing back 0/10 Guest Overview and YouTube Video Expansion Introductory monologue and announcement about YouTube expansion from host Ted Seides without guest interaction.3:39–6:50 · Ted pushing back 0/10 Early Influences, Wall Street Exposure, and First Industry Roles Ted asks warm introductory questions about Alex's early interest in investing and Wall Street upbringing, prompting Alex to recount his father's career and early roles.6:51–9:37 · Ted pushing back 0/10 Formative Years at Fidelity and the Amazon Thesis Alex details his formative internship at Fidelity, visiting Amazon, and developing his early thesis to buy the market leader and short everything else.9:38–11:46 · Ted pushing back 0/10 Pitching Portfolio Managers and the Fidelity Research Culture Alex discusses pitching portfolio managers at Fidelity under Peter Lynch's egg-timer method and learning diverse investment styles.11:47–14:16 · Ted pushing back 0/10 Compounding Tech Cycles and S-Curve Expansion Alex breaks down how tech cycles compound, highlighting how the iPod naturally morphed into the iPhone and created massive adoption curves.14:21–19:42 · Ted pushing back 0/10 Whale Rock's Three-Part Investment Framework Alex outlines Whale Rock's core three-part framework: S-curves, competitive advantages, and underappreciated exponential earnings power, comparing tech to traditional Buffett views.19:51–22:21 · Ted pushing back 0/10 S-Curve Inflection Points and the Cloud Computing Case Study Alex describes how to identify S-curve inflection points and dynamic expansions, sharing a case study on cloud computing TAM estimation.22:25–29:09 · Ted pushing back 0/10 The Whale Rock Learning Machine and Primary Research Alex explains Whale Rock's intensive primary research process and their quick mobilization to build an AI infrastructure investment thesis after ChatGPT launched.29:13–31:47 · Ted pushing back 0/10 Executing Shorts Across the S-Curve Lifecycle Alex lays out how the firm identifies short candidates across the S-curve lifecycle, distinguishing between disrupted incumbents and technologies that are too early.31:58–35:33 · Ted pushing back 0/10 S-Curve Pitfalls and the Electric Vehicle Plateau Alex admits misjudging the EV adoption ceiling in the US and explains how super-leader management was added as an extra evaluation criterion.35:42–41:26 · Ted pushing back 0/10 Portfolio Construction and S-Curve Thematic Allocation Alex pushes back on the idea of a Mag-Seven bubble, demonstrating how their valuations are supported by massive AI operational efficiencies and data advantages.41:30–44:22 · Ted pushing back 0/10 Emerging S-Curves: Autonomous Driving and Robotics Alex reviews nascent tech frontiers including autonomous driving, humanoid robotics, and selective late-stage private equity allocations.44:26–48:03 · Ted pushing back 0/10 Perspective on Crypto, Blockchain Hype, and Stablecoins Alex articulates why blockchain has often represented a false S-curve without killer use cases, contrasting it with the clear utility of stablecoins.48:25–51:21 · Ted pushing back 0/10 Sustaining Passion, Curiosity, and Building Whale Rock A friendly wrap-up covering Alex's motivations, career resilience through market drawdowns, and personal reflections.

speaking balance: gold is Ted, purple is the guest (3 minute bins)

0:00 · Ted 89.3% · guest 10.7%0:00 · Ted 89.3% · guest 10.7%3:00 · Ted 29.4% · guest 70.6%3:00 · Ted 29.4% · guest 70.6%6:00 · Ted 0% · guest 100%6:00 · Ted 0% · guest 100%9:00 · Ted 11.1% · guest 88.9%9:00 · Ted 11.1% · guest 88.9%12:00 · Ted 6.4% · guest 93.6%12:00 · Ted 6.4% · guest 93.6%15:00 · Ted 0% · guest 100%15:00 · Ted 0% · guest 100%18:00 · Ted 7.8% · guest 92.2%18:00 · Ted 7.8% · guest 92.2%21:00 · Ted 7.8% · guest 92.2%21:00 · Ted 7.8% · guest 92.2%24:00 · Ted 4.4% · guest 95.6%24:00 · Ted 4.4% · guest 95.6%27:00 · Ted 1.6% · guest 98.4%27:00 · Ted 1.6% · guest 98.4%30:00 · Ted 6% · guest 94%30:00 · Ted 6% · guest 94%33:00 · Ted 9.6% · guest 90.4%33:00 · Ted 9.6% · guest 90.4%36:00 · Ted 6.9% · guest 93.1%36:00 · Ted 6.9% · guest 93.1%39:00 · Ted 1.6% · guest 98.4%39:00 · Ted 1.6% · guest 98.4%42:00 · Ted 6.2% · guest 93.8%42:00 · Ted 6.2% · guest 93.8%45:00 · Ted 7.8% · guest 92.2%45:00 · Ted 7.8% · guest 92.2%48:00 · Ted 23.3% · guest 76.7%48:00 · Ted 23.3% · guest 76.7%51:00 · Ted 24.9% · guest 75.1%51:00 · Ted 24.9% · guest 75.1%
Sharpest disagreement ▶ 37:26 Alex rejects the Mag-Seven bubble narrative

Alex forcefully pushes back on prevailing market concerns about concentration and valuation bubbles, arguing the pricing is grounded in earnings power and scale.

Hardest push from Ted ▶ 31:47 Ted presses on failed trades and flawed S-curves

Ted prompts Alex to directly confront times when his framework failed and he got both longs and shorts wrong on a trend.

Biggest teaching moment ▶ 24:29 Alex breaks down the full AI computing stack and infrastructure layer

Alex educates the audience and host on the multi-tiered architecture of AI compute and why early capital expenditure concentrates in hardware over apps.

Ted holds their own ▶ 37:14 Ted frames the public market dilemma around Mag-Seven exposure

Ted demonstrates deep familiarity with institutional allocation challenges by highlighting how public fund managers must navigate mega-cap concentration.

the scores for every segment, with the reasoning behind each
ChapterTopicTed as informed peerGuest teachingGuest disagreementTed pushing backWhy
Guest Overview and YouTube Video Expansion 0000 Introductory monologue and announcement about YouTube expansion from host Ted Seides without guest interaction.
Early Influences, Wall Street Exposure, and First Industry Roles 3200 Ted asks warm introductory questions about Alex's early interest in investing and Wall Street upbringing, prompting Alex to recount his father's career and early roles.
Formative Years at Fidelity and the Amazon Thesis 3400 Alex details his formative internship at Fidelity, visiting Amazon, and developing his early thesis to buy the market leader and short everything else.
Pitching Portfolio Managers and the Fidelity Research Culture 3400 Alex discusses pitching portfolio managers at Fidelity under Peter Lynch's egg-timer method and learning diverse investment styles.
Compounding Tech Cycles and S-Curve Expansion 3400 Alex breaks down how tech cycles compound, highlighting how the iPod naturally morphed into the iPhone and created massive adoption curves.
Whale Rock's Three-Part Investment Framework 3510 Alex outlines Whale Rock's core three-part framework: S-curves, competitive advantages, and underappreciated exponential earnings power, comparing tech to traditional Buffett views.
S-Curve Inflection Points and the Cloud Computing Case Study 4510 Alex describes how to identify S-curve inflection points and dynamic expansions, sharing a case study on cloud computing TAM estimation.
The Whale Rock Learning Machine and Primary Research 4610 Alex explains Whale Rock's intensive primary research process and their quick mobilization to build an AI infrastructure investment thesis after ChatGPT launched.
Executing Shorts Across the S-Curve Lifecycle 3510 Alex lays out how the firm identifies short candidates across the S-curve lifecycle, distinguishing between disrupted incumbents and technologies that are too early.
S-Curve Pitfalls and the Electric Vehicle Plateau 4410 Alex admits misjudging the EV adoption ceiling in the US and explains how super-leader management was added as an extra evaluation criterion.
Portfolio Construction and S-Curve Thematic Allocation 4510 Alex pushes back on the idea of a Mag-Seven bubble, demonstrating how their valuations are supported by massive AI operational efficiencies and data advantages.
Emerging S-Curves: Autonomous Driving and Robotics 3400 Alex reviews nascent tech frontiers including autonomous driving, humanoid robotics, and selective late-stage private equity allocations.
Perspective on Crypto, Blockchain Hype, and Stablecoins 3410 Alex articulates why blockchain has often represented a false S-curve without killer use cases, contrasting it with the clear utility of stablecoins.
Sustaining Passion, Curiosity, and Building Whale Rock 2200 A friendly wrap-up covering Alex's motivations, career resilience through market drawdowns, and personal reflections.

Statements from this episode (24)

Assertion Supported
Sacerdote: Amazon had 2M users when 90M people were online
“At that point, even if the internet did not grow, they only had two million customers, and there were ninety million internet users at that point.”
Alex Sacerdote Dec 22, 2025 ▶ 7:59
Assertion Supported
Sacerdote: Peter Lynch Timed Fidelity Analysts' Stock Pitches with Egg Timer
“Peter Lynch, he wasn't active when I was there, but he would meet with the analysts individually three or four times a year, and he always had his thing, the egg timer, where you go into his office and he turns the egg timer.”
Alex Sacerdote Dec 22, 2025 ▶ 10:54
Disclosure
Sacerdote: Whale Rock bought Tesla at 4x three-year forward earnings
“When we first bought Tesla at the end of 2019 and 20 20, when the EV S curve really took off because Elon got the price Of the model three down to 40,000. And then we saw they had very good competitive advantages. We said, wow, they can do two million cars at …”
Alex Sacerdote Dec 22, 2025 ▶ 18:51
Disclosure
Sacerdote: Whale Rock bought Nvidia in January 2023 at 4x forward earnings
“And similarly, we loaded up on NVIDIA right after ChatGPT in January, 20, 23. We were buying NVIDIA at four times the earnings they're going to do this year.”
Alex Sacerdote Dec 22, 2025 ▶ 19:29
Insight
Sacerdote: S-Curve Exponential Growth Turns Linear at 30% to 40% Penetration
“Generally, once you get to 30 to 40% penetrated on the S curve, That's usually when that exponential growth becomes linear”
Alex Sacerdote Dec 22, 2025 ▶ 19:57
Assertion Supported
Sacerdote: AWS Targeted the Largest Business IT Market in History
“In the traditional world, that was six hundred billion dollars of spend, and AWS was going after all of it. This was the biggest market in business IT ever, because previous markets were just the server market, or just Cisco was good in networking, EMC was goo…”
Alex Sacerdote Dec 22, 2025 ▶ 21:23
Prediction Open · timeframe Dec 2030
Sacerdote: Cloud Computing Has Another 5 to 10 Years of Growth
“We have another five Maybe even 10 years to go on this, and it's still growing.”
Alex Sacerdote Dec 22, 2025 ▶ 22:15
Disclosure
Sacerdote: Whale Rock's 10-person team conducts 2,500 management meetings annually
“We've got a team of 10 of us, and we're doing 2500 face to face meetings with management teams a year using our S curve competitive advantage underappreciated earnings power framework to guide where we look.”
Alex Sacerdote Dec 22, 2025 ▶ 22:36
Assertion Not checkable as stated
Sacerdote: AI infrastructure is only 14% penetrated on the S-curve
“We're only about 14% penetrated on the AIS curve for infrastructure. Within the cloud, it's only three or four percent.”
Alex Sacerdote Dec 22, 2025 ▶ 28:12
Prediction Held up
Sacerdote: Inference-time reasoning will be adopted by all AI models
“And now deep seek is basically solidifying this inference time reasoning is going to be adopted by all the models.”
Alex Sacerdote Dec 22, 2025 ▶ 28:58
Prediction Not checkable as stated
Sacerdote: Most EV startups chasing Tesla and BYD will fail
“And there are a lot of electric vehicle companies that tried to be Tesla or BYD, and they're all very likely to Either fail or not generate any profits.”
Alex Sacerdote Dec 22, 2025 ▶ 29:59
Assertion Supported
Sacerdote: EV Adoption Reached 50-60% in China but Stalled at 10% in US
“The idea was that 50, 60% of cars were going to be electric. And that's happened in China. But when we hit about 10% in the US, it hit a wall.”
Alex Sacerdote Dec 22, 2025 ▶ 32:42
Opinion
Sacerdote: Tesla S-Curve Collapsed to Zero as US Adoption Matured
“Tesla and the EVS curve was amazing, and they had a great competitive advantage, and they had underappreciated earnings power. But then that S curve went from being a 10 out of 10 to a zero out of 10 because it was mature in the USA. And the underappreciated e…”
Alex Sacerdote Dec 22, 2025 ▶ 32:54
Assertion Not checkable as stated
Sacerdote: Tencent achieved an unprecedented sequence of dominant S-curves
“Tencent was a beauty in that, where they started literally with AOL instant messenger that they hacked, and then turned it into a payment system. A social networking system, a mobile video game, and they dominated each of these, and they did one after the next…”
Alex Sacerdote Dec 22, 2025 ▶ 34:32
Opinion
Sacerdote: Apple's post-iPhone product categories failed to move the needle
“Apple had one that was just so big with the smartphone, The challenge for them was they did well with tablets and they did well with earbuds. They're doing well with the watch, but those weren't big enough to move the needle.”
Alex Sacerdote Dec 22, 2025 ▶ 35:01
Disclosure
Sacerdote: Whale Rock holds 60% of portfolio in its top 10 positions
“We will buy something up to 10% at cost, and then we'll let it get up to 15%, and usually it's reserved for larger companies... Usually we'll have one name at 10, and then we'll have a handful at seven or five and The top 10 will be 60%.”
Alex Sacerdote Dec 22, 2025 ▶ 35:42
Assertion Supported
Sacerdote: Amazon Trades at 25x Forward GAAP EPS, Cheaper Than Walmart and Costco
“You've got Amazon now, which is 25 times next year's street EPS, which, that's GAAP EPS, cheaper than Walmart, cheaper than Costco.”
Alex Sacerdote Dec 22, 2025 ▶ 38:01
Assertion Not checkable as stated
Sacerdote: AI Adoption Has Driven $50B to $70B in Extra Sales for Meta
“And we think that's driven fifties to seventy billion of extra sales to Meta by adopting AI.”
Alex Sacerdote Dec 22, 2025 ▶ 40:27
Prediction Held up
Sacerdote: Driverless vehicles have hit mainstream takeoff and will expand
“Driverless did hit the mainstream takeoff. We are taking driverless taxis, one basis point of miles driven, and they're going to be rolling out cities, and it's just going to get bigger and bigger. So that is one that's definitely going to be hitting.”
Alex Sacerdote Dec 22, 2025 ▶ 41:30
Prediction Not checkable as stated
Sacerdote: Complex humanoid robotics adoption will take longer than expected
“I think it will take longer before we can have a humanoid robot doing anything too complicated, but we'll see what the world holds there.”
Alex Sacerdote Dec 22, 2025 ▶ 42:08
Opinion
Sacerdote: Stripe and Adyen Are the Coke and Pepsi of Cloud Payments
“There's two payment companies, which are next-gen, cloud-based, Leading payments companies, and those two are like Coke and Pepsi. They're a little bit different in different ways, but in order to invest in Audion, you better know what's going on at Stripe.”
Alex Sacerdote Dec 22, 2025 ▶ 43:13
Disclosure
Sacerdote: Whale Rock Concentrates 55% of Private Book in Four Companies
“We're fortunate in that it's about 10% of our capital and 55% of that capital is in four iconic leaders that really fit this framework well. Stripe, which is dominating digital cloud-based payments. Canva, which is next-gen cloud-based Adobe. Databricks, which…”
Alex Sacerdote Dec 22, 2025 ▶ 43:47
Opinion
Sacerdote: Blockchain is a technology looking for a problem and a false S-curve
“It was always a technology looking for a problem. The use cases were few and far between. Also, there was an element of it where there were all these meme coins, and it wasn't solving any true productivity gains. We thought that was somewhat of a false S curve…”
Alex Sacerdote Dec 22, 2025 ▶ 44:40
Opinion
Sacerdote: Stablecoins are a true S-curve technology for moving money
“Stablecoin, that's a true S-curve. It's so efficient way to move money around, so that's actually one that we're very much focused on now.”
Alex Sacerdote Dec 22, 2025 ▶ 45:37
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