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The AI Boom Will Create Enormous Roadkill: Who Wins & Loses? | David Frankel

1:30:401,357 summary words · ~7 min readEnglishBy 20VC with Harry StebbingsTranscribed Aug 8, 2026
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Summary

The massive AI funding boom will ultimately leave 95% of hyped startups as roadkill, rewarding disciplined seed funds focused on vertical applied AI and patient ownership over bloated momentum platforms.

As tech valuations decouple from fundamental unit economics, founders and investors must navigate secondary liquidity, compute shifts, and deep domain defensive moats to survive the inevitable macro downturn.

Section summaries

0:00-2:16

Introduction & Track Record

optional

Harry Stebbings introduces David Frankel of Founder Collective, highlighting his seed investments in companies like Uber, PillPack, SeatGeek, Shield AI, and Suno. Frankel reflects on an 11-year relationship with Harry, noting that true great investors show generosity to young founders before they have achieved status. The section sets up Frankel's ability to navigate both pre- and post-AI venture paradigms.

  • Enduring venture partnerships are built on early alignment before commercial validation.
  • Transitioning seed discipline across major technological waves requires high adaptation without sacrificing core fund mechanics.

Warm personal intro and track record recap; main content begins in the next section.

2:16-9:04

Fund Sizing Traps & The Seed Insurance Strategy

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Frankel analyzes the structural split in venture capital between asset management platform mega-funds and disciplined seed funds. He addresses why mid-sized funds ($50M-$100M) struggle—they are too big to write small collaborative checks, yet too small to lead massive $10M seed rounds. Frankel explains Founder Collective's strategy of co-investing $500k–$1M checks alongside large rounds as an 'insurance policy' for founders seeking patient partner protection against multi-stage fund abandonment.

  • The median outcome of the top 500 venture companies over the last 25 years is $2.6 billion.
  • Founders use patient seed funds as downside insurance against multi-stage VC abandonment.
  • Uncapped SAFE notes fundamentally distort seed economics by deferring realistic price discovery.

Critical analysis of venture fund sizing, portfolio power laws, and seed check positioning.

9:04-18:08

Founder Psychographics & Valuation Realities

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The discussion covers uncapped notes, founder selection criteria, and the operational evolution of the CEO vs CTO. Frankel highlights that being a 'founder' has become normalized, but true 'entrepreneurs' possess rare fortitude and learning velocity. He shares anecdotes from Jeff Bezos and Suno's Mikey Schulman regarding how elite CEOs spend 30–50% of their time on talent acquisition.

  • Top CEOs allocate 30% to 50% of their operational time directly to executive recruitment.
  • The CEO/CTO dynamic requires distinct alignment: a sales-oriented entrepreneur paired with a deeply competent technical builder.
  • Rapid ARR growth metrics can obscure fundamental business retention and expansion dynamics.

Provides valuable frameworks for founder selection and operational scaling discipline.

18:08-27:12

Bubble Traps, Fund Discipline, and GP Alignment

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Harry and David discuss whether the 'triple-triple-double-double' growth mandate is dead in the current AI market. Frankel warns that 95% of hyped AI startups will become roadkill, comparing current venture exuberance to historical cycles. He explains why Founder Collective resists raising multi-billion-dollar funds: the GPs are their own largest LPs, making them hyper-focused on net returns and DPI rather than fee accumulation.

  • Less than 100 sustainable companies above $10B market cap were created in the last 25 years.
  • Over-capitalization creates orphaned startups when momentum slows and growth funds migrate to shiny assets.
  • GP alignment with LPs improves drastically when partners are the primary capital contributors to their own funds.

Essential strategic macro critique on VC fee incentives vs fund return reality.

27:12-36:16

Ownership Dilution & The 'Billion-Dollar Series A'

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Stebbings and Frankel debate ownership targets and valuation ceilings. Frankel emphasizes that Founder Collective never rejects a great founder over low target ownership (willing to accept 1-2%), contrasting Harry's loss of multi-hundred-million dollar deals due to strict ownership thresholds. They break down the fallacy of treating a $1B valuation as 'the new Series A' and debate momentum trading vs early value investing.

  • Rigid upfront ownership minimums can cause funds to miss generational power-law compounders.
  • Chasing momentum assets at $1B+ entry prices requires flawless timing for public exit windows.
  • Pro-rata rights act as a call option against founders unless investors continually earn the right to invest.

Direct contrast of seed ownership philosophies and momentum-based investing risks.

36:16-45:20

Applied Physical AI & Deep SAS Cannibalization

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Frankel maps out the transition from hardware-focused investments (like Shield AI, Vicarda, Whoop) to applied physical AI, noting that underlying hardware has become completely commoditized. They discuss the 'SaaS apocalypse' and how generalist LLMs cannibalize surface-level software platforms. Frankel argues that deeply embedded software (e.g., biotech pipelines or core transactional logic) will withstand LLM substitution.

  • Hardware is rapidly commoditizing; value shifts entirely to the software/AI orchestration layer.
  • Surface-level SaaS tools face severe cannibalization from generalist model capabilities.
  • Deeply embedded mission-critical enterprise systems possess defensibility that market sentiment underestimates.

Key insights on applied physical AI trends and legacy SaaS defensibility.

45:20-49:52

Domain Edge & Niche Vertical Advantage

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Frankel redefines 'Nepo Babies' in tech as founders who grew up immersed in niche family or domain industries—such as pharmacy operations (PillPack) or HVAC engineering blue-prints (Rebar). These founders possess unmatchable context and unfair distribution edges in unsexy, high-value markets.

  • Founders with multi-year organic domain immersion possess structural context generalist AI builders lack.
  • Targeting legacy niche industries provides immediate workflow defensibility against LLM disruption.

Interesting framework on domain expertise, though concise.

49:52-58:56

Secondary Liquidity Mechanics & LP Macro Trends

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The discussion turns to secondary markets, which Frankel notes are at peak liquidity. Frankel advocates taking 20% secondary sales in top-performing assets to lock in 25%+ fund DPI early while preserving long exposure. They also cover shifting LP expectations, sovereign wealth fund IRR preferences, and the danger of repeat founders losing operational drive.

  • Executing secondary sales at or near primary pricing unlocks early DPI without giving up core upside.
  • Sovereign wealth funds prioritize high IRR over traditional fund multiples (TVPI).
  • Second-time founders who experienced massive financial hits are harder to retain when growth slows.

Actionable tactics for portfolio liquidity management and secondary execution.

58:56-1:08:00

Geopolitics, Photonic Compute, & Labor Shifts

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Frankel analyzes the global AI landscape, asserting US dominance centered around San Francisco, while warning about rapid open-source AI acceleration from China. He introduces photonic (optical) computing as the ultimate structural disruptor to electronic chip architectures like Nvidia. They debate AI labor displacement, concluding that vertical specialists with human relationship interfaces will remain resilient.

  • Photonic computing addresses thermal and power limits in electronic silicon data centers.
  • Chinese open-source AI developments represent the primary competitive challenge to Western labs.
  • Human relationship interfaces remain crucial in high-stakes service verticals (legal, audit, high-value sales).

Covers high-level macro shifts in hardware bottlenecks and geopolitical tech competition.

1:08:00-1:28:24

Quickfire: Consumer Gaps, Life Science, & Wrap-Up

optional

In the closing segment, Frankel expresses surprise at the lack of breakthrough consumer AI tools beyond voice and music (Suno). He defends seed frameworks, reflects on personal relationship patience, and shares optimism for AI-driven life science discoveries that target chronic disease. Stebbings and Frankel conclude with reflections on their 11-year relationship.

  • Consumer AI remains largely untapped beyond primary voice and audio generation workflows.
  • AI compute applied to biological data promises accelerated therapeutic discoveries for chronic conditions.

Reflective quickfire section covering broad personal insights and general wrap-up.

Key points

  • Applied Physical AI Over Hardware Commoditization — Underlying hardware nodes—drones, cameras, sensors—are commoditizing rapidly to single-digit dollar prices, shifting defensible venture value entirely to the applied AI layer wrapped around physical infrastructure.
  • The Seed 'Insurance Policy' Co-Investing Strategy — Disciplined seed funds can secure co-investment in massive $8M–$10M seed rounds at lower check sizes ($500k–$1M) because founders view patient seed specialists as downside insurance against abandonment by multi-stage VCs.
  • Photonic Computing as the Long-Term Nvidia Disruptor — Data center thermal and electrical power constraints will inevitably force a hardware transition from electronic semiconductor architectures to optical photonic computing chips.
  • Secondary Markets as a Primary DPI Velocity Engine — Liquid institutional secondary markets allow early-stage investors to take 20% of a winning position off the table early at full valuation, returning significant fund capital while remaining long on upside.
  • Vertical Domain 'Nepo Edge' Over Generalist Builders — Founders with childhood or decade-long immersion in unsexy legacy verticals (like HVAC quoting or pharmacy logistics) possess structural domain edge that generalist AI builders cannot easily replicate.
If you miss the $3 trillion companies, you're much harder to sell. David Frankel
95% are not going to be there. And it goes back to why is seed interesting? Like I don't have to be in the one. David Frankel

AI-generated from the transcript. May contain errors.

0:00

You've got this narrowing out in venture

0:02

where the bigger you get, it becomes

0:05

like a pyramid. If you miss the $3

0:07

trillion companies, you're much harder

0:09

to sell. This may just be another Uber,

0:12

another Sunno, another Shield AI. David

0:15

Frankle is one of the best from Founder

0:17

Collective. He's in Uber. He's in

0:19

Pillpack and SeatGeek and many great

0:21

names. It's incredibly hard to move to a

0:24

second wave, the wave of AI. The dude is

0:26

in the seeds for Shield AI for Sunno,

0:29

which now worth $5 billion. He has moved

0:31

so seamlessly from a pre to a post AI

0:34

world in a way that very few seed

0:35

ambassadors have been able to. This was

0:37

an incredible discussion with one of the

0:39

true craftsmen of seed investing today.

0:42

Are we headed for another crash?

0:44

Definitely. If is not a question. When

0:47

nobody knows. Ready to go. [music]

1:01

>> David, last night you sent me an email,

1:04

a forwarded email, and it was my first

1:07

ever email to you 11 years ago.

1:10

>> 11 years.

1:10

>> I can't believe that. Yeah. Uh, do you

1:13

know what I found so funny is I just had

1:14

dinner last night with Mimoon and I look

1:16

at the people who've been kindest to me,

1:18

which is you, Mimoon, Josh Kushner, Neil

1:21

Mater, and it's just fascinating that

1:24

the people who were there when there was

1:26

nothing are also the greats.

1:29

>> And it's like maybe that's what made

1:30

them great, that they give time to

1:32

people where they just believe with no

1:34

reason to. Does that make sense?

1:36

>> I'm honored to be included in that list.

1:38

But but maybe some of the thing is

1:41

they're like they're intoxicated and you

1:43

were intoxicating in my view like

1:45

there's you know you were 19 years old

1:47

but you were full-on focus energy like

1:51

you you just brought it right and I

1:54

think maybe part of the job and part of

1:56

the fun of the job is just like

1:58

recognizing that it's not all it takes

2:00

but but you kind of you had it. You have

2:03

it.

2:03

>> That's super kind of you to say in terms

2:05

of like having it. Obviously, we both

2:07

play at the early stages and I've said

2:10

before on social media and on X that the

2:14

hardest part of the market is seed in

2:17

many ways and the worst performing funds

2:19

will be the 50 to$100 million funds. I

2:23

say this to explain because you're too

2:25

big to be collaborative to write those

2:28

100 to 250k checks and be a friend, but

2:30

you're too small to lead a$ 8 to $10

2:33

million seat round. Why am I wrong? And

2:37

why will this vintage be great for those

2:39

funds?

2:43

Okay,

2:45

[laughter]

2:45

there is so much to unpack here. Look,

2:49

you've got this narrowing out in venture

2:52

where the bigger you get almost like it

2:56

becomes like a pyramid. Like I think

2:58

there is a the business of venture which

3:00

is asset management and this channel,

3:04

right? So, you've got the Cambridge

3:05

Associates and you've got the um Fund of

3:08

Funds and all they're doing is selling

3:11

access and they're they're fine with it.

3:14

And if the you name it, top 10, top five

3:17

names are not in XYZ great company and I

3:21

would say at this point if you're not

3:22

like in the top five, if you miss the at

3:26

a certain level, if you miss the $3

3:27

trillion companies, right, like you're

3:30

much harder to sell, right? And so so

3:34

it's not trillion dollar robust, but

3:36

like if you look at the numbers over the

3:37

last 25 years of how many companies were

3:40

created that are over hundred billion

3:42

dollars and the numbers are like there

3:45

were less than a hundred companies over

3:47

the last 25 years, less than a hundred

3:50

that are sustainably over 10 billion

3:54

companies. So you've at that top end,

3:57

you've got to be in that. The median

3:59

company, we've done a lot of work on

4:01

this very recently, but the median of

4:04

the top 500 companies created in the

4:06

last 25 years, the median is 2.6

4:08

billion. Now, if you own 5% of one of

4:12

those companies, you return the fund

4:14

each time. And I would say what's gone

4:17

on in seed is like there are whole bunch

4:20

of unreasonable bets being taken with

4:23

loads of funds and loads of money. And

4:25

you know, it's quick, right? because you

4:27

know you've got to get the check in

4:28

because you got to get to the next fund.

4:31

It's so it's incredibly tough at seed.

4:34

What's what makes this still a great

4:36

business is it's a little bit of what I

4:39

said about you is you can wait and wait

4:42

and wait and wait if you're patient and

4:44

then you just see someone, right? You

4:45

see a founder or you see a team and you

4:47

just go, I have to be there, right? And

4:49

to me, that's code for this may just be

4:54

another Uber, another Suno, another

4:56

Shield AI. And I think a little bit, I'm

4:59

I'm answering this personally, a little

5:01

bit of this is a drug, right? Is like,

5:04

you know, finding Harry. Finding that is

5:07

a bit of a drug. So I, you know,

5:09

addicted if that's the case. And I think

5:13

that that if you're in early,

5:16

um, you still have a chance of returning

5:18

a fund. I think it's a to it's a totally

5:20

different business. And by the way, do

5:22

you have to be the full $8 million?

5:24

Definitely not. We can't be. Can you

5:27

write a $3 million check? Can you write

5:28

a half a million check? Now, valuations,

5:32

uncapped notes, that's changing the

5:34

business. But you don't just have to do

5:37

that. So if you're if you're on pie and

5:40

I would say if you're on pie for the

5:42

last I've been doing this for 18 years

5:44

nearly is it was always expensive. It

5:47

was always tough but you find some of

5:50

the best people off pie always.

5:53

Can I ask you on those rounds when you

5:55

look at the 8 to 10 million rounds or

5:57

the the large seeds that we see today

5:59

are you able to participate though with

6:02

the two to three million when you have

6:04

your the multi-stage products provide

6:06

such an efficient seed product that

6:07

actually you might get 100k but being a

6:10

3 million check is much harder are you

6:12

able to even do that strategy you know I

6:15

I hesitate to say this Harry but I think

6:17

we're we're being seen and I'm I could

6:20

be overextrapulating the last 20 deals

6:22

that we've been involved in almost as an

6:25

insurance policy where we're side by

6:27

side. We're putting in 500k or a

6:29

million. There's been 8 $9 million going

6:32

in and

6:35

there's from the smart entrepreneurs

6:37

there's almost this knowledge of they

6:39

may abandon me and then having FC in my

6:42

back pocket could be useful.

6:44

>> Sure.

6:44

>> And I'll use their brand, right? I'll

6:47

use their I'll use their distribution

6:49

network to go out and say they actually

6:51

don't suck, right? They're not, you

6:53

know, we're not doing 10 million ARR

6:55

yet, but like they're more patient and

6:58

be patient and we're the testimonial

7:00

sales person. So, I think there's some

7:03

recognition of wow, for $500 or a

7:05

million dollars, not a bad insurance

7:07

policy.

7:07

>> Totally get that. So, that's the 8

7:09

million round and that's at 40 if we

7:11

>> No, we're doing we're not doing that

7:12

many $8 million rounds. We're still

7:14

finding three $4 million rounds.

7:16

>> Are you?

7:17

>> Yeah. Yeah. The valuations there move a

7:21

lot, right? They change a lot.

7:23

>> By the way, the other thing is there's

7:26

very little evidence yet that these hot

7:31

hot AI companies that are raising huge

7:33

amounts of money are capital efficient,

7:35

right? They're anything but capital

7:37

efficient. There's like the jury's out

7:40

on whether that's going to work still.

7:42

Totally get you. Just before we move

7:44

away, you said it's not in the hot hot

7:46

hot. You often don't get paid for being

7:48

a value investor and you can sometimes

7:50

be criticized for being smarter than the

7:53

market or whatever contrarian you want

7:55

to say. My question is like I we do

7:58

think about like is this an asset that

7:59

will get financed in future funding

8:01

rounds and if it's not an AI and it's a

8:03

traditional enterprise HR company, dude,

8:06

I can't get that funded for a good A.

8:08

Does that impede your thinking on

8:09

whether you'll do the seed? Well, look,

8:12

everybody's AI, right? Like, it's almost

8:15

like saying that you're not AI today is

8:17

like I'm not using the internet, right?

8:20

It's like, why wouldn't you use the most

8:22

contemporary tools? So, everyone's AI.

8:24

You've just got different approaches

8:26

where you've got a second time

8:28

entrepreneur that goes, I know this

8:29

domain really well. I've been uh doing

8:32

SAP consulting for, you know, 10 years

8:34

or 20 years, SAP, and I've built a

8:37

platform, but this part still sucks. And

8:40

I was playing around with Claude code.

8:42

This is a real situation. I was playing

8:44

around with Claude code. My CTO is

8:46

playing is is unbelievable. We're now

8:49

putting four five together. Will you be

8:50

will you be involved? And it's a 20

8:52

million cap.

8:53

>> Sure.

8:53

>> Right. We see lot we see loads of that.

8:57

So the the concept of it's only a 20some

9:01

you I'm not saying we don't do that. I

9:03

mean you know very well we do that all

9:05

day long. But we also see other startups

9:08

in places that feel off-piece and then

9:12

you look at and it's got it's worth tens

9:13

of billions of dollars this time.

9:15

>> The statement that is said to me more

9:16

than ever is price matters less than

9:18

ever because the only thing that matters

9:20

is in that you're in the true winners of

9:21

the day. How do you feel when you hear

9:24

that?

9:26

>> I mean the the scale of how much you

9:28

have to win right is different based on

9:30

your price. It's pure math. So uncapped

9:34

notes suck at the seed stage. Yeah.

9:36

>> I'm not saying we've never written one.

9:38

Like unfortunately I've written one and

9:41

I'm I think the founders are

9:43

exceptional. I think they'll do great.

9:45

>> Do you regret it?

9:46

>> I don't regret it at all because I love

9:48

the relationship. But financially, you

9:51

know, will we do as well there? That's

9:54

going to be a$1200 [clears throat]

9:56

million price when it's when it happens.

10:00

Now you in a year in advance and you

10:02

take that price from a venture

10:04

perspective it doesn't make much sense

10:06

>> and access is being sold right the IVs

10:10

Stanford's done this forever but MIT and

10:12

Harvard doing the same thing it's like

10:13

you just want to be there right

10:15

sometimes you really have to think that

10:16

through and we've said no plenty

10:19

>> but we'll probably regret the ones that

10:20

we said no to

10:21

>> we see YC

10:24

really professionalized startup founding

10:26

in a way that it turns it into almost a

10:28

norm for people leaving some colleges in

10:31

particular and some programs at certain

10:32

colleges in particular. Do you worry

10:35

about how almost easy it is to be a

10:37

startup founder today in terms of that

10:39

normalization of it and what that means

10:42

for what we do?

10:44

>> I I do.

10:46

>> Yeah.

10:46

>> I think there are so many founders,

10:49

right? It's like dour. I think there are

10:52

fewer entrepreneurs and when the tide

10:55

goes out, everybody goes, I knew, I told

10:58

you so. and nobody knows when the tide

11:00

goes out. But what it takes to be an

11:02

entrepreneur is just it's just very

11:05

different in terms of fortitude, in

11:07

terms of the ability to energize, the

11:10

ability to go up that learning curve.

11:12

The number of times I've seen the

11:14

difference in the trajectory between the

11:16

CEO and the CTO. The CTO at some point

11:20

up to 50 people, you're golden. And then

11:23

at some point you go, actually, we could

11:25

bring in better better technical skills.

11:27

And if you've got a good co-founding

11:29

CTO, that person becomes like a Swiss

11:31

army knife and is deployed in different

11:34

ways, the CEO goes on this

11:37

serious journey, right, where the

11:39

learning curve is steep and they've got

11:42

to learn to manage and they've got to

11:43

learn to put bums on seats. And I think

11:46

of people like TJ at Pullpack or Jack at

11:50

SeatGeek. And they're changed

11:52

individuals. I had uh coffee a week ago.

11:56

We had an hour u Mikey Mikey Schulman

11:59

from Sunno and I said what are you doing

12:02

and he said I'm 30 40% of my time I'm

12:05

just recruiting.

12:07

I had lunch years ago decades ago with

12:10

Jeff Bezos. I was invited to a lunch and

12:12

someone smarter than me said what do you

12:14

spend your time doing? And he said 50%

12:17

of my time is bums on seats. That's

12:20

never left me. That's the CEO journey.

12:23

That's the entrepreneurs journey. And

12:26

there many founders that don't cut that.

12:27

>> I think one of the biggest mistakes that

12:29

I see investors make though is when they

12:31

turn down a company because they don't

12:34

like the other co-founder. And the truth

12:36

is the other co-founder is most often

12:38

not there in 3 years. You don't like

12:40

them because you don't think they're

12:41

good enough and not as good as the CEO.

12:43

Will you invest if you think the CEO is

12:46

amazing, but you don't think the CTO is

12:49

up to scratch or the head of sales who's

12:51

also the co-founder isn't as good? What

12:54

are your lessons on that?

12:55

>> Rarely. We do that less. And I think

12:58

your logic is correct. But so early on,

13:02

we're looking for this package. I'm

13:04

looking for this CEO CTO kind of magic.

13:08

And in some ways, I literally use that

13:11

word like I'm looking for the CTO to be

13:13

a bit of a magician and the CEO to be a

13:15

good salesperson. That's like my

13:17

favorite combo. And I agree with you.

13:21

the CEO being a good salesperson and

13:23

being a real entrepreneur is actually

13:24

more important because the CTO role can

13:27

be funible depending on how complicated

13:30

it is. But I have said no more times

13:33

than yes in those situations and I

13:36

regret some of them.

13:38

But the

13:41

the dynamic between th those founders

13:46

matters early on. Like to me, I look at

13:49

the dynamic and in some ways I think I

13:51

want to replicate the partnerships that

13:53

I've loved and go I'm looking for some

13:57

kind of alchemy here. You don't have to

13:59

be identical. You don't have to finish

14:00

each other's sentences. In fact, I

14:02

prefer that you were different. But how

14:05

aligned are you and how much you trust

14:07

each other's kind of competence and go

14:11

and in a career

14:13

I've seen alchemy maybe one hand you

14:17

know one like five times four or five

14:19

times but when that alchemy happens it's

14:22

because of that interplay between those

14:23

two people. So I'm watching that pretty

14:26

carefully. Has the type of founder that

14:28

you like changed especially in the last

14:30

few years? I think our team has

14:32

definitely oriented much more towards

14:33

like deeply engineering specific people

14:36

who come out of deep mind who come out

14:38

of Gemini or has that changed less than

14:42

you'd think h so I would say

14:46

the youth the energy the focus the

14:50

smarts you put that package together and

14:53

it's an intoxicating package

14:56

>> I look at experience

14:59

and I So what are we going to need to

15:02

package with that experience? There are

15:04

certain situations SAS and enterprise

15:06

SAS certainly looked like that where you

15:09

know you learned the lessons you

15:10

understood the market you understood

15:12

like who the buyers were although that's

15:15

very fluid too

15:18

>> but did you have the focus and the

15:19

energy and I see these 20somes and it's

15:23

a psychoraphic in a way so I'm not

15:26

saying that I don't want to sound agist

15:28

the psychoraphic of that focus and

15:31

intensity can last for decades

15:33

But there's something about it at that

15:35

early stage that is just wow I want to

15:38

be part of that and that still turns me

15:40

on a lot now the theory of you know the

15:45

relationships etc go one more time is

15:48

it's great in theory but man you need to

15:51

go this journey you need so much energy

15:53

when we look at the scaling journey and

15:56

we said about kind of how founders have

15:57

changed that in terms of what we look

15:58

for or not changed for you one thing for

16:01

me that's changed and I I get in so much

16:03

trouble for this and like VC Brags, this

16:06

Twitter account, killed me for it the

16:08

other day. Um I very candidly said I

16:12

turned down a company the other day that

16:14

went from 1 and a half and they were

16:15

going to go to five and then they were

16:17

going to go from five to 15

16:20

and it's just not enough anymore. It's

16:23

it's just not interesting. I'm sorry for

16:25

venture. We have an opportunity cost of

16:27

capital where we can deploy and that's

16:29

not fast enough. Has triple triple

16:32

double double gone? Is that still a

16:35

venture path in today's landscape?

16:38

>> 1 and a half to 5 billion to 1 and a

16:40

half to 5 million era and then 5 to 15.

16:44

>> And so you're looking at this company

16:46

going okay you're going to be 1 and a

16:47

half to 5 5 to 15 to 30

16:52

[sighs and gasps]

16:53

David 4 5 years down we might be at 70.

16:57

I mean like

16:59

is that still a venture pathway?

17:01

>> You know

17:03

these 10-year funds are taking 18 years.

17:07

The one thing you learn is loads of

17:10

patience.

17:12

There's no to me it's such an

17:14

opportunity when people go it has to be

17:17

1 and a half to 10 to 15 and then

17:19

reality sets in and sometimes it's twice

17:21

as expensive and it takes twice as long.

17:26

Harry, we still own every last share in

17:28

SeatGeek. That was an investment I made

17:30

in 2010. It's become it's in the top

17:33

three ticketing businesses in the world.

17:36

It just takes a really really long time.

17:39

some of our greatest companies. They

17:42

were showing tremendous promise. But

17:45

that one and a half to 10 to 20 like I

17:48

just think are they executing and and

17:52

and by the other the other side is is

17:54

revenue the only metric right sometimes

17:56

there is traction on dimensions that the

17:59

market is not necessarily recognizing

18:01

but you're an insider so so that account

18:04

the retention in that account is really

18:07

good and that one account's now spending

18:09

4x what they spent a year ago and

18:12

they're more da and So there's got to be

18:16

traction and frankly [clears throat] a

18:17

lot of what we do to try tell an

18:19

entrepreneurial story to get more

18:21

funding is the different dimensions of

18:24

traction. But I think this like go go go

18:27

overnight or you you're bust. I think

18:30

there's a lot of orphans out there for

18:32

that. And sometimes, frankly, I look at

18:34

like those funding rounds and they're

18:37

called seed plus or seed extensions and

18:40

I go, that may be the opportune moment.

18:43

Like when they're being abandoned and

18:46

they can't get the capital because the

18:47

bigger funds have moved on, maybe that's

18:50

the opportunity. It's not what we really

18:52

do,

18:52

>> but I can see it as a capital markets

18:55

opportunity.

18:55

>> Do you remember Bullpen where it was

18:57

like their business to do exactly those

18:59

rounds? I always thought that was an

19:00

interesting business. I don't know how

19:02

they've done, but they priced those

19:04

rounds. They they priced them for bigger

19:06

bigger players.

19:07

>> I think the thing is you're so paid for

19:08

the risk that you're taking there. I

19:10

mean, they really were aggressive in

19:11

terms of ownership that you need I think

19:12

they did Ipsy which was a big business

19:15

and so you have one and it pays for the

19:17

rest. Um can when you look at this David

19:20

you've been doing this for 18 years and

19:22

you hear people like me say oh one to

19:25

five like triple triple double double's

19:27

dead. Is it really a home run? If it's,

19:29

you know, we need a billion dollars in

19:31

revenue, Jason Lmin says on our show,

19:33

billion valuation.

19:36

Come on, that's not venture anymore. Is

19:39

this like peak bubble? When you review

19:40

the 18-year journey that you've had, the

19:43

historical or anacronistic view on this

19:46

would be the bubbles get bigger. This is

19:49

the wave of our lives. I feel that way

19:53

by the way. If I look at, you know,

19:55

internet, SAS, mobile, AI, nothing looks

19:58

the same. And will there be roadkill

20:01

from this wave? Oh my god, there's going

20:03

to be a lot. You know, again, you look

20:06

at those stats of 500 companies, less

20:08

than 100 over 10 billion the last 25

20:10

years. How many times, Harry, over the

20:13

last 11 years have you heard this is

20:15

different? This is different. It doesn't

20:17

mean that there aren't survivors and

20:19

companies that are going to change the

20:21

trajectory of technology forever. And I

20:24

think in, you know, open AI and

20:26

anthropic and SpaceX, we're seeing that

20:28

already. Like these are the metas and

20:30

the Googles of our era. Highly likely.

20:34

But wow, like it's Hollywood, man.

20:37

[laughter] Like 95% are not going to be

20:40

there. And it goes back to why is seed

20:42

interesting? Like I don't have to be in

20:44

the one, right? Like if there were five

20:47

companies so of that that are worth $5

20:49

trillion literally you go SpaceX I mean

20:52

I'm not even including I'm saying like

20:55

um with exits so if you look at SpaceX

20:59

Tesla Meta that's trillions of dollars

21:03

already you take then Nvidia I think

21:05

Nvidia started pre25 years ago but even

21:08

if you look at the last 25 years ago you

21:09

can add Palanteer to that PaloAlto

21:12

networks that's about $5 trillion of

21:14

market cap

21:15

And then the the other 495,

21:18

right, at a 2.6 billion average. And

21:21

some of those are, you know, we hope

21:23

everything looks like Shield AIO. But if

21:26

you have 5% of a 500 million, if you

21:29

have a 5% of a $2.6 billion outcome,

21:32

you've returned your fund. If you have a

21:35

$500 million outcome, it's incredible

21:37

still. And that's why I think seed isn't

21:40

dead. I think seed is crowded and to

21:43

some degree very commoditized. I feel

21:45

commoditized. I've said this many times.

21:47

I feel like brand and in some in some

21:51

regard distribution as in your portfolio

21:54

and people saying nice things about you

21:56

get you to the table.

21:57

>> But if it's commoditized, does price not

21:59

just become the separator? And if price

22:01

is the separator, the mega platforms

22:04

win.

22:05

>> Well, the problem is the mega platforms

22:07

are taking call options. So, is this

22:10

good for the mega platforms? Is this

22:11

good for the LPs? Or is this good for

22:13

the entrepreneurs? Well, probably for

22:15

95% of entrepreneurs, it's not good.

22:18

Why? You get more I'm I agree with you,

22:21

but I'm just playing devil's advocate.

22:22

You get more money at a higher price

22:25

with mostly a more junior VC who will

22:27

let you do your work and not get in the

22:29

way. Isn't that what all entrepreneurs

22:31

want?

22:31

>> I mean, sounds amazing, right?

22:34

>> Yeah. The more junior entrepreneur moves

22:36

on, right? you're offended and it's like

22:38

>> more junior in venture investor you

22:40

mean?

22:40

>> Yeah.

22:40

>> Yeah. Sorry.

22:41

>> And the more junior the the principal at

22:43

that big fund moves on. They start their

22:44

own fund. They move to another fund.

22:47

Happens all the time. Right. So the

22:49

person who invested doesn't have

22:50

mandate. They can't sit around with the

22:52

partnership and say look let's just put

22:54

another five to 10 like let's turn over

22:55

another card because your champion's

22:58

gone. By the way I'm being contrarian

22:59

here. This does not always happen this

23:01

way. I'm just giving you the other side

23:03

to this. And then you haven't made the

23:05

kind of 1, five, 10, 15 a r, whatever

23:08

you want to call it. You just haven't

23:10

made that. So it's like you're

23:12

overlooked because it's like let's focus

23:13

on our real winners and that thing's

23:15

worth2 or 3 billion. So 95%

23:19

is mandate for further funding is dead

23:22

is gone. Now this is the beautiful thing

23:25

about most entrepreneurs is they just

23:26

don't think about themselves in that

23:28

category. I'm the 5%, I'm the 2%, right?

23:31

And that's why we love entrepreneurs,

23:33

>> but the stats are so far against you. It

23:36

goes back to

23:38

>> I hate to think of ourselves as like

23:40

their insurance policy.

23:41

>> But I think a few entrepreneurs have

23:43

thought about that. And I think there's

23:44

a little bit out in the zeitgeist going

23:47

FC is a great insurance policy. You want

23:49

them in the round and that it costs very

23:50

little to have, you know, Harry or David

23:53

in like for 500k or a million. Are you

23:55

really not tempted to raise more? Like

23:57

every single constrained fund including

24:00

benchmark historically the uh central

24:04

figure in discipline in venture has

24:07

raised a what a billion dollar a billion

24:09

and a half growth fund. I was with

24:11

another great growth fund that is very

24:13

disciplined as well but we're raising

24:15

billions too. Everyone who was is like

24:17

no we realize the game on the field is

24:19

you need money. Are you really not

24:22

raising more? It would be disingenuous

24:26

to say to you that we don't have the

24:28

discussion, that it isn't attention,

24:30

that we we go back to it. It's hard to

24:33

be contrarian when there's so much money

24:35

going around. It's hard to say no.

24:37

>> Yeah.

24:38

>> And then here's how we come out is the

24:41

GP has been the biggest LP and we're

24:45

greedy for returns, not management fees.

24:48

>> What percent of the fund are you now?

24:50

>> We're certainly in the last few funds

24:51

the largest LP.

24:52

>> Wow. So,

24:55

you know, no, there's no LP that is

24:57

bigger than the GP. We're seriously

25:00

aligned with our LPs, but what are we

25:03

seeking? And this is the answer to your

25:04

question. It may be wrong, right?

25:07

Literally, if you do the analysis, you

25:09

may go like that was crazy. You left so

25:11

much on the table. We've been very

25:14

disciplined about strategy and very

25:16

disciplined about DPI. So, but if I just

25:19

look at you, I'm sorry. I'm playing

25:20

devil's advocate again. I'm just like,

25:22

dude, like, you know, you had Coupang,

25:25

you had Uber, you had Trade Desk, you've

25:28

got Shield, you've got Suno. I mean,

25:30

just tack on another $3 to $500 million

25:33

vehicle and keep going. I'm sure you

25:35

knew Mikey was amazing. I'm sure you

25:38

knew TJ was great. I'm sure you knew

25:39

that these were great on

25:42

Surely that is a conversation that has

25:44

rationality

25:45

>> because it's a rational conversation. It

25:47

comes up.

25:48

>> Yeah. And then you come back to saying,

25:50

"Okay, who wants to do this?" You round

25:52

the you're at an offsite with the

25:53

partnership and says, "Who wants to do

25:54

this?" And I go, "Oh my, like I love the

25:57

early stage, right?" Like I kind of may

25:59

do it, right? And and by the way, I am

26:02

an opportunist as well. I think of

26:05

myself as some kind of value investor.

26:07

So the interesting times for that for me

26:10

have been like when nobody's funding.

26:13

Why? And I think that person's great or

26:16

it's a consumer play. So, and I know

26:19

consumer multiples are lower, but this

26:23

is a internet acquisition

26:27

device and these founders are better at

26:30

acquisition and the m that's where I

26:34

sometimes go. So, it's not in the hype

26:36

hype hype go. Like, I'm kind of immune

26:39

to that.

26:41

I'm in pain. I mean, I I love you so

26:44

much cuz you're so much smarter than me,

26:45

but I'm just like the market can stay

26:48

irrational longer than you can stay

26:50

solvent. And when I look at like a Wix

26:53

today trading at 2.1 billion on 2.1

26:56

billion of revenue, it's a great example

26:58

where like there's obvious irrationality

27:00

at play, but it doesn't matter. The

27:03

market's the market. And if consumer say

27:06

is getting the pricing that it's

27:07

getting, I can't change that no matter

27:09

how good the acquisition machine is. And

27:12

so like don't fight the tide that's

27:14

against you is my thesis or ethos.

27:18

[ __ ] swim in the swim lane that's

27:20

swimming in your favor. Am I wrong and

27:22

I'm just missing a contrarian beat? No,

27:26

there's so many ways to do this.

27:27

[laughter] Uh and and people have done

27:30

so well. Uh you know there there are big

27:34

funds, right, that have returned very

27:36

well, right? You've got to be in the

27:38

right vintage. But if you look at like

27:40

Thrive or A16Z, they've had some big

27:42

funds that have returned very very well.

27:45

>> Yeah.

27:45

>> A little less since 2020. Like if you

27:48

look at the DPI analysis, like the

27:50

jury's out from 2020 onwards. Now, of

27:53

course, if you were in like, you know,

27:55

if you're like Josh and you're in SpaceX

27:58

and Open AI, that's going to be like the

28:01

most ridiculous fund, but wow, you are

28:03

in the most rare air. And then there's

28:06

just something that's competitive and

28:08

unique and and it is economically

28:13

irrational potentially but is I was in

28:18

that company. I was first. I wrote the

28:21

biggest check somehow for me being

28:24

competitive with me. Like that is the

28:26

biggest thrill. I was with that founder

28:28

from the beginning and we literally re

28:31

reversed the truck and gave them

28:33

everything they wanted. And by the way,

28:34

does that mean that we're not writing3

28:36

$4 million checks now? We are, right?

28:39

Because if you want to get a percentage

28:42

ownership in something that you think is

28:44

extraordinary, you're writing much

28:46

bigger checks than we wrote before. So

28:48

the so the the fund is going faster than

28:51

it used to. What is your average

28:53

ownership now? And has it gone down over

28:55

time? I look at ours and our biggest

28:57

mistake and I can look at deal 11 Labs.

29:00

I can look at Granola.

29:02

And StarCloud,

29:04

Fractile could have done them all, but

29:07

would have had 1 to 2%. And all of them

29:09

we turned down purely for ownership. And

29:12

that is hundreds and hundreds of

29:14

millions of lost returns for ownership.

29:18

I've never thought about that.

29:20

[laughter]

29:21

>> I I I mean, all things being equal,

29:24

right, like um I'm not a I'm a

29:27

capitalist, right? So, all things being

29:29

equal, like I'd love to own more upfront

29:32

than less,

29:33

>> but it wouldn't be the reason you turned

29:34

it down.

29:34

>> I've never I've never turned it down.

29:36

Never. And you know,

29:40

Mikey,

29:42

I wanted to give him every last scent,

29:44

right? And you reached a point where he

29:46

said, "Look, that is the dilution I'm

29:49

willing to take. I'm not willing to take

29:50

another iota of dilution." And we gave

29:54

him what we gave him, which was

29:55

literally every single scent in his

29:58

first round. We showed it to other

30:00

people, by the way. I mean, I showed it

30:02

to you.

30:02

>> Thanks, David. We weren't going to bring

30:04

it home.

30:06

>> Um, and then when Matrix led, uh, which

30:09

was not, it wasn't a popular round. Lots

30:11

of people said no in that round. We

30:13

asked every last scent. But would I have

30:17

said no to Mikey because of percentage

30:19

ownership? Like when you meet the right

30:21

people and you're all in, it's like you

30:25

get what you get.

30:26

>> And so you will do the one to 2%. And

30:29

you'll take it even though you can't

30:31

size up in next rounds.

30:34

>> Well, you know, again, I think pro rata

30:38

is almost like the original sin, but if

30:40

others have it, like I I don't think

30:42

that we should be excluded if others

30:44

have that prata. We're seeing rounds now

30:47

where there isn't prootera for anyone

30:50

but the lead but the most major share.

30:52

So it's not a pro rata for all major

30:55

shareholders. It's for the lead

30:56

shareholder. I'm not sure I agree with

30:58

that either in this environment. I kind

31:00

of think that there should be a

31:02

universal approach to treat your

31:04

investors equally but but I think proo

31:07

is generally not great for

31:09

entrepreneurs. It's a call option

31:10

against you. So we feel like we've had

31:13

to work every time to put in a bit more

31:15

money. We've never ever led another

31:18

round. So we have this view of like it

31:20

would be negative correlation bias. It

31:23

would be unfair to everybody if we

31:25

didn't be somewhat kind of uniform. Do

31:29

you think it's harder than ever to

31:31

accurately concentrate dollars

31:32

effectively given the rise of such

31:35

preemptive rounds? We've had them where

31:38

we haven't even wired the money and

31:40

there's a new term sheet

31:41

>> at different valuations.

31:42

>> Yeah.

31:43

>> And that happens quite often now.

31:46

>> Is it harder than ever to concentrate

31:48

effectively when it's just so fast? some

31:53

kind of framework is really really

31:55

necessary and I credit my partners over

31:58

the years with that of saying we may be

32:01

writing bigger checks but above that

32:05

post money valuation it's really not our

32:08

opportunity anymore and you can look in

32:10

the rearview mirror and say man I should

32:13

have done Uber I should have done shield

32:14

I should have and like huge kudos and

32:19

power to the people who did but a

32:21

framework lets to act very quickly and I

32:24

would say credit to Eric Paley in this

32:27

case is he always created some kind of

32:30

discipline. So the post money went up

32:32

and up and up as rounds and the the

32:35

momentum and the size of money and the

32:37

environment changed. It didn't we we

32:40

would do but we would never lead another

32:42

round. We've never done that in our

32:44

entire history. So we haven't been

32:46

preemptive and we haven't been like

32:48

we'll lead your series A and we we like

32:50

you more than others. But our ability to

32:52

participate has always been there.

32:54

Totally get that. Can I ask you? Peter

32:57

Teal said before that like if he had

33:00

just done every round that anyone else

33:03

had done at an up round and it was a

33:05

good brand, he would have done much

33:07

better was kind of the ethos. Have you

33:09

found that to be true

33:12

given the era? Like this has been the

33:15

golden golden era. It's probably from a

33:19

datadriven approach. It's probably true.

33:21

Like if we'd followed on in Uber, Kong,

33:24

Shield, you name it. If we just followed

33:26

on,

33:28

>> probably the data would show that we've

33:30

done pretty well, right? If we follow,

33:32

our view would be we'd had we we would

33:34

have had to have followed on in

33:36

everything and I think that the absolute

33:39

return would be better. I don't think

33:41

that the multiple would necessarily be

33:43

better on the fund. I'm not being rude.

33:44

A framework is not the enemy of this

33:46

venture cycle. Like I think it's so easy

33:49

to be rigid in your mentality around,

33:51

oh, we won't do anything over a billion.

33:52

I I get you, but you're going to

33:54

absolutely wse at me here. So, are you

33:56

ready for a real I think a billion

33:59

dollar valuation is the new series. A

34:01

>> and you're like, "Wo, Harry. Whoa, whoa,

34:03

kiddo. Calm down. Listen to the facts.

34:05

We used to do a 50 million post and hope

34:07

it would become a billion 20x without

34:10

dilution, like blunt." Uh, now you enter

34:13

at a billion and you hope it becomes 20.

34:15

You know, we have Mccor at 20, we have

34:18

Cognition at 26, Cursor gets sold for 60

34:21

sold. This is liquid. Well, maybe a

34:24

billion is the new series A. No. I think

34:27

you may be looking at the top two or 300

34:29

companies. Is that not our business?

34:33

>> Um, I don't think so.

34:35

>> Huh.

34:35

>> I think that you I think that that's the

34:37

momentum business. And I think knowing

34:40

how and when to get out quickly with

34:42

some of those really really matters. And

34:44

that's not really my business. So my

34:46

business is value is getting involved

34:50

early and trying to find value

34:52

opportunities.

34:54

And there are times again where it's an

34:56

intoxicating founder and being on that

34:59

journey together. But I'm not sure that

35:01

those are your fund returners. The

35:03

difficulty with some of those momentum

35:05

assets is like it was what we were

35:08

talking about earlier is you've got to

35:09

be able to like run for the exits when

35:11

you can on you know it's exactly what

35:14

you were saying is

35:17

>> you didn't think that founder was all

35:18

that great right so when you had the or

35:20

or you thought that the like the

35:22

valuation was so far ahead of the

35:24

reality of the business but you're

35:27

asking a question you're asking a a

35:28

momentum question.

35:30

>> Yeah.

35:30

>> Right. And is it all momentum?

35:35

I've got to be careful not to be too

35:38

anacronistic in this because we have

35:40

invested in momentum. There's just no it

35:42

would be so disingenuous for me to say

35:44

that we haven't like

35:46

>> when you say that like what do you mean

35:48

we have invested in momentum?

35:49

>> Our knee joke tends to be when this has

35:51

gotten across a certain point like we're

35:53

out of here and credit to Eric at a

35:56

point for going like we've captured 80%

35:59

of the value. we could capture another

36:00

20% if we did Uber at series A or if we

36:03

did Sununo at series A. And by the way,

36:06

it's not just on paper. I think there

36:08

would be buyers for that position. In

36:10

hindsight, I look at that and I go like,

36:12

were you anacronistic? By the way, we

36:15

didn't we didn't even seek to

36:16

participate in that round. We kind of go

36:19

we built our ownership position and

36:21

we're done. Like this is not the kind of

36:23

investors we are. We're looking for the

36:25

next seed stage round. And I think

36:27

Harry, what we've done is we've drunk

36:28

the Kool-Aid to such a large extent now.

36:31

You and I are so different that you're

36:34

going, "This is hot. Let me go go." I'm

36:37

going, "I've got a smaller fund. Where

36:40

else can I really X my ownership versus,

36:43

you know, getting a I know 5x or 10x."

36:46

But of course, the environment makes you

36:48

look quite silly in retrospect. The

36:50

question is how long does this

36:51

environment go on for? And it's also

36:53

about like how and this is the you you

36:56

have unbelievable returns and you've

36:58

made a phenomenal amount of money for

36:59

your investors but the quantum of cash

37:01

that you move matters and Josh and Elad

37:05

and the multi-stage funds moving

37:08

hundreds of millions and billions.

37:11

You you make a larger quantum of cash

37:13

and so I get you with the in terms of

37:15

your your multiple goes down when you

37:17

lead the series A. Look, there's there's

37:20

so many different ways to play this. And

37:22

I think when you talk about Josh and you

37:25

know, a handful, they've killed it.

37:27

They've absolutely killed it. A lot of

37:29

LPs very wrongly I think don't like the

37:32

large platforms and always just come

37:35

back to this very kind of I think basic

37:37

rudimentary thought that as you scale

37:39

fund size, returns always get worse.

37:42

Always. You whenever someone says always

37:44

be careful. Um but I think with the

37:46

outcome expansion that we've seen cursor

37:48

at 60 billion trillion dollar companies

37:50

in a matter of years with open open air

37:53

anthropic you will see venture returns

37:57

with mega platform sizes. Do you agree?

38:01

>> Largely no. So largely I would say who

38:05

are their LPs? Who are they working for?

38:07

And in some of these cases, it's not

38:08

even endowments anymore,

38:10

>> right? Sovereign wealth fund.

38:11

>> No, no, it's definitely not

38:12

>> and if you and and sovereign wealth

38:14

funds and public investment corporations

38:16

are looking for IRR,

38:19

>> they're not measuring this in how many

38:20

times do you X the fund. Doesn't mean

38:22

that A6Z and Thrive haven't xed a few of

38:25

their funds really, really nicely.

38:27

Again, subsequent to 2020, like the TVPI

38:31

is there and some in some cases they're

38:33

on steroids. The DPI is less there. if

38:36

you look at the actual stats, but

38:38

they're working for these sovereign

38:39

wealth funds and they're giving great

38:41

IRRa and some of the endowments, some of

38:43

the biggest endowments are like rounding

38:45

errors now.

38:46

>> Yeah.

38:46

>> The the question is who you working for,

38:48

right? And like I again obsess with this

38:52

alignment with the entrepreneur and like

38:54

we're working for ourselves as well,

38:56

right? And we're working for DPI and the

38:59

bigger we make the fund, the tougher it

39:01

is on the DPI. Like what am I doing this

39:03

for? fund after fund after fund and you

39:07

know I I can't give you the numbers but

39:09

fund one fund two by the way there's

39:12

this wave AI theme you know if we look

39:16

back on fund two it's all about applied

39:19

AI I mean that's really what the fund if

39:21

you look at the winners in fund two it's

39:24

shield AI which by the way in 2016 was

39:27

called shield AI it's vicarda right it's

39:30

whoop now all of these things are

39:33

commoditized all of the hardware is

39:35

commoditized. Video cameras are

39:36

commoditized. Drones, I mean, you can

39:39

buy a drone for, you know, forget DJI,

39:41

you can buy a drone for $20 now, like

39:44

$50. It's about putting AI around these

39:48

completely commoditized platforms. It

39:51

was 10 years ago, but it wasn't the

39:53

theme. So, the one thing that you're

39:55

talking about is momentum around a

39:58

theme. And I'm going in 10 years time or

40:01

in 5 years time there will be a new

40:04

theme. The job will have been to get

40:06

into that theme ahead. I don't even know

40:08

what it is. I hope I've got some on

40:10

goal. And those weren't the expensive

40:12

ones though. Those were not they never

40:14

are. So using AI is really important. I

40:18

guarantee you all of these things are

40:20

called applied AI businesses today or

40:23

physical AI. physical AI is all the job

40:26

is to be in there 5 years or 10 years

40:28

ahead and it's not where the momentum

40:30

is. It never is. When you look at you

40:32

said that kind of fun too and you said a

40:34

couple of names there with Vicardas and

40:35

your Whoops and your shields. Um how

40:38

concentrated are the returns in your

40:41

funds? I spent time with Honam from

40:44

Altos and he's spoken about return

40:46

concentration with Roblox and it was

40:49

mindblowing to me. How concentrated are

40:51

yours and what lessons do you have from

40:53

that? The amazing thing is they've been

40:55

way less concentrated than you would

40:58

expect.

40:59

>> So look at fund two, forget fund one

41:01

now. Fund two, Vicarda, Shield, Whoop,

41:06

Pillpack in and for the most part one of

41:10

or the single largest investor in the

41:13

first institutional round. It's not

41:15

concentrated.

41:17

If you look at fund one, we always talk

41:19

about the, you know, the the trade desk

41:21

and the Ubers and the Kongs. Fund one

41:24

still has Air Table like in at the very

41:27

beginning

41:29

challenges in the SAS environment, but

41:33

Simply Simply is the biggest piano

41:35

teaching and and music instrument

41:37

teaching company in the world. SeatGeek

41:39

haven't sold a single share in SeatGeek.

41:41

That's still in fund one. Why haven't

41:43

you sold a share in SeatGeek?

41:46

I think it's spiritual at this point.

41:48

[laughter]

41:49

>> It's a religion. I'm wearing Jack's

41:51

t-shirt beneath this. Beneath the shirt,

41:53

you've got Jack's face, right?

41:55

[laughter]

41:56

>> That would be an epic.

41:57

>> I did that. I did that at my LP meeting.

41:59

>> That would be very funny.

42:00

>> Before Jack uh Jack and Mikey both

42:02

presented and I literally said to them,

42:05

"Get me t-shirts." Right. And I ripped

42:07

open my shirt.

42:08

>> But I I'm actually worried about this,

42:10

which is, you know, and I'm not

42:12

positioning this at our table at all. I

42:14

think how he's wonderful and brilliant

42:15

and a brilliant product team, but like

42:18

you're seeing the cannibalization

42:20

of leaders in a space like Air Table

42:23

respectfully and like Sneak the cyber

42:25

security company which in a similar vein

42:27

is going through challenging times too

42:29

in terms of growth rates and everything

42:30

involved.

42:32

Well, there hasn't been a liquidity

42:34

event, but the cannibalization has

42:36

already started. It's like the

42:38

innovation cycle's taken steroids and

42:40

gone too quickly to allow liquidity

42:42

events to even happen. Does that worry

42:44

you too?

42:46

>> Look, I mean, by now, Harry, it's it's

42:49

very hard to

42:51

play around with Claude or something

42:53

like it and not have the revelation that

42:56

we've all had. But then you look at some

42:59

of these SAS companies and you look at

43:01

the SAS apocalypse. When we were when we

43:04

were on the OLO board, when it was

43:05

listed, we'd look at companies like

43:07

Viva, right, which is I think at a $30

43:09

billion market cap now. It's come down,

43:12

I don't know how, at least 50% or more.

43:15

And we'd go, this is the most perfect,

43:17

like we want to be this company. It's

43:20

hard not to look at some of that market

43:23

cap erosion and go, is the baby being

43:25

thrown out with the bath water? And it's

43:27

about the last 5%. I think it's about

43:29

the lost and and I would say if your air

43:33

table and viva or olo look very

43:35

different the more embedded you are like

43:37

the more difficult you are to dispense

43:40

because real time thousands billions of

43:42

orders are being run in your system or

43:44

like missionritical biotech research is

43:48

being run in your system the more

43:50

embedded you are I think the more

43:52

overdone that SAS apocalypse may be the

43:55

less embedded clearly right the easier

43:58

you are to kind of turf out and play

44:00

around with Claude, you name it. But I

44:02

think we're underestimating that last

44:04

5%. And the contrarian in me, this is

44:06

not what what I do, would say, buy a

44:08

basket of like the top SAS stocks that

44:11

have all lost huge market cap. You're

44:13

going to do okay. You you are. And Roy

44:16

Driscoll, who we do the show with every

44:17

week, has done that. And I put my money

44:19

into Palunteer and said, "I'm a momentum

44:21

surfer. I did better." [laughter]

44:24

>> And that's the hard point, which is the

44:25

opportunity cost of cash is so real.

44:27

Yeah,

44:27

>> that you can be in one and try and be

44:29

smart, but you're probably right

44:30

longterm or you can just be momentum

44:33

trader and you'll be right actually in

44:35

the short term and if you can time it

44:36

well, it makes a difference. You said

44:37

there about

44:38

>> the difference between in a way between

44:40

our styles is every single company I

44:44

invest in and it comes back to

44:46

concentration. Every company I invest

44:48

in, I invest in with the hope, right,

44:51

that it could be another Sunno or Uber.

44:53

I literally do. I don't invest in

44:55

companies and go, "Oh, I'm investing in

44:57

you, Harry, because I think you can be a

44:58

10x outcome." I don't I don't do that.

45:00

>> You don't?

45:01

>> No.

45:02

>> Wow.

45:02

>> Yes.

45:03

>> Every company we're investing and we

45:05

think, "Wow, this could be ginormous.

45:07

This could be gin."

45:09

>> I'll give you Jason Lin. Sorry. And then

45:11

do you want He just taught me a very

45:12

simple one. He's like, "I'm not smart

45:13

enough to predict the future. What I

45:15

look for is can I get a 3x on my next

45:17

funding round? And if I can get a 3x on

45:19

my next funding round and I really

45:20

believe in a great entrepreneur, CEO and

45:22

a great CTO, I'm in.

45:25

>> So, so we we use the same logic, but

45:29

it's always been 10x.

45:31

>> I will not invest in this if I don't

45:33

think if I'm not sure that there's a

45:35

10x. We have at our team meeting, I love

45:38

it because dot dot dot. If you can't

45:40

complete that sentence, you can't

45:41

invest. That's how we start the team

45:43

meeting. That's how we start talking

45:45

about a portfolio company. What's your

45:46

greatest lad?

45:48

>> Like when you look back on that, what's

45:49

your

45:50

>> So, so in more recent times, I've gone I

45:53

love it because I'm obsessed with Harry,

45:57

right? Like I just think that every

45:59

question I ask, I get a better answer

46:01

than I expected. Every time I press,

46:05

there's no there's no evasion of the

46:08

facts. He never says to me, "Oh, we're

46:10

the only one in this business." He

46:12

always says, "It's so much harder than

46:14

you think it's going to be. get so much

46:16

tougher and like this person's leaving

46:18

me and I love it because they're

46:20

obsessive. They're all over it. They're,

46:24

you know, they're so deep in this and I

46:26

just can't get this out of my I I will

46:28

not say I love it because of valuation

46:30

by the we've we've always come to

46:32

valuation lost. We've always gone

46:35

opportunity market founders founders

46:37

first and foremost. It's in our it's in

46:39

our name and we come to valuation lost

46:43

and I cannot say that every single time

46:45

we've invested we've gone this is a

46:46

perfect valuation. In fact

46:48

>> rarely is.

46:49

>> No it rarely is

46:52

a little bit uncomfortable I find.

46:53

>> Of course. Of course. Exactly right. By

46:55

the way you can go I love it because of

46:58

insight into the vertical. I love it

47:01

because of an edge that nobody else can

47:04

match in a commoditized business. I love

47:07

it because, you know, it's a I'm writing

47:10

this piece on Nepo babies and I'm going

47:13

I love to fund Nepo babies. So

47:16

>> what

47:16

>> I'm writing this piece right now.

47:18

>> Why do you love to [clears throat] nepo

47:19

babies?

47:19

>> So So I go TJ Parker, right? Working in

47:24

his dad's pharmacy when he was 15, 14,

47:28

16. like he has got more edge in that

47:32

vertical than he knows. Uh Mikey comes

47:35

to to AI to voice AI to music to audio,

47:41

right? They've come out of Kensho.

47:43

That's all they did at Kensho. So you

47:45

take Mikey and Georg and um Martin

47:50

Kamacho, that's all they did. Martin was

47:52

the CTO of Kensho. They're not the Nepo

47:55

baby, but Evan at Rebar. So Evan at

47:58

Rebar is HVAC preparation and HVAC

48:03

quoting. There are over 100,000

48:05

mechanical engineers in the US that are

48:08

making 100K each at least when they

48:10

graduate. And all they're doing is

48:12

sitting with this blueprint process so

48:13

that they can quote on new commercial

48:16

and and Evan's sitting there and by the

48:19

way he did work for his uncle's company

48:21

that was rolled up in a PE 10 10 of

48:25

these things and they said go out and

48:27

find the AI for this and Evan goes out

48:29

and goes there's no AI for this and he

48:31

goes I'm starting rebar and I go there

48:35

folks who have been in these verticals

48:37

since they were kids. He watched his

48:39

uncle in this vertical was like there's

48:41

nothing else he was going to do and I go

48:44

like they have more edge than they know

48:46

what to do with. I get you sorry just to

48:49

be clear for you. Neo baby where I'm

48:52

from is trust fund baby who has billions

48:55

of dollars. I was like dude I do not

48:57

want to be funding the kid who's at

48:59

Scorpios in Mkos spraying dad's money.

49:01

>> I I I I we're we're using Nepo babies

49:05

with different definitions.

49:06

>> Very different definition. I'm talking

49:08

about folks who've been in a vertical.

49:10

>> Yeah, I that I

49:12

>> have lots of edge in that vertical

49:13

>> that I totally get. You said you haven't

49:15

sold a share of SeatGeek. The timing of

49:18

when you get out matters a lot. Do you

49:21

have any lessons on when to get out

49:23

given I think this generation of seed

49:25

managers will be defined by their

49:26

ability to access and navigate secondary

49:29

markets effectively.

49:31

>> So, it's interesting. You're asking this

49:34

at a time where I have never seen

49:37

secondary markets as liquid. It's

49:40

probably not that surprising given fewer

49:43

IPOs, fewer M&A up till the moment here,

49:47

an IPO market that will probably be open

49:50

for the remainder of this year and then

49:52

these IPO markets always close. So in

49:55

the top 100 names, wow, the secondary

49:58

liquidity is incredible. And you can

50:01

price your position, I would say,

50:03

reasonably efficiently. You can look at

50:05

around and go, okay, the secondary

50:07

markets in offering me a 25% discount.

50:10

It's probably worth, you know, 7 and a

50:12

half, not 10. And then you can look at a

50:16

number in the top 50 at least where

50:19

you're being offered at least the price

50:21

per share of the last round because

50:23

loads of folks loads of big folks

50:26

Blackstone didn't get their prata and

50:28

then they're sucking it up.

50:29

>> Mo most I'm seeing do not have a

50:31

discount for sure.

50:32

>> Yeah. Uh we we we've seen a premium

50:36

right where insiders know there's

50:38

another round. Talking to your point

50:40

about momentum, right? You were talking

50:42

about momentum in the early stage. We've

50:45

seen situations in our multi-billion

50:47

dollar names where the round goes down

50:50

in December and the boards already

50:52

talking about the March round. And we

50:54

kind of see it sometimes when when we're

50:56

not on the board, but we just see it in

50:58

the momentum in the secondary market.

51:00

Now, Harry, you're in very rare air

51:03

there. And let me just say, I I don't

51:05

want to um in any way make it sound like

51:07

we're in that with all of our companies.

51:09

We're in that with at any one point a

51:11

handful of companies. But in those

51:14

situations, I think the difference in

51:16

fund management is when you take

51:19

secondary and the ability to give DPI

51:22

even in your top names sometimes taking

51:25

20% off the table if you can return 25%

51:28

of the fund particularly if it's a

51:30

newish fund. So if it's a you know if

51:32

it's 2024 fund and you can give back

51:34

25%. Like why wouldn't you do that? and

51:38

you're still long. You still own 80% of

51:41

that company.

51:41

>> I just think we don't think about the

51:43

velocity of cash enough. And what I mean

51:45

by that is like, you know, yes, there

51:48

might be another double, but if I have

51:50

to wait 5 years and then the IPO and

51:53

then an 18month lockup, Jesus, give me

51:56

50% of that now and I'll way rather have

51:59

the certainty and the DPI now than the

52:02

maybe a double from here with 6 and 1/2

52:04

years.

52:05

>> Yeah. Do you

52:07

>> This is not a precise science.

52:08

>> It's not.

52:09

>> I've looked back in every direction and

52:12

we've [clears throat] gone. By the way,

52:13

the best is you sell 20% and you were

52:15

wrong. Awesome. Did you do a good job of

52:19

sellown on Uber?

52:21

>> You know, in retrospect, we probably

52:23

sold a little too early. So, this was

52:27

early on. You know, this is a business

52:29

that's getting close to$10 billion in

52:31

valuation, and there's an opportunity to

52:33

take some off the table. And you're very

52:35

new

52:36

>> also at the time that I'm so sorry this

52:38

sounds awful and again chastise me 10

52:40

billion at that time was so much more

52:42

than it is today.

52:43

>> Yeah. Yeah.

52:46

>> Yeah. Yeah.

52:46

>> Did you sell all at 10 billion?

52:48

>> No. Definitely not. [snorts]

52:50

>> No. No. Uh no. We were we were net long

52:55

at the IPO.

52:59

One thing that's very sad or challenging

53:02

is when when an exit event happens and

53:05

then you look at kind of the number that

53:06

comes back to you and you're like,

53:07

"What? Where did it where did it go?"

53:11

And and I think you're having this

53:12

normalization of incredible levels of

53:15

dilution today more than ever before.

53:18

>> Wow.

53:19

>> Do you see that and worry about that?

53:20

>> Yeah. Look, dilution. It's interesting.

53:22

Like I look at uh Whoop versus Sunno

53:25

like we're so proud to be in both but

53:28

Sunno you know Sununo has been a very

53:30

quick journey. So if you look at like

53:32

how lower how much lower the dilution is

53:36

part of it is just how quick the

53:38

momentum of that has been versus a Whoop

53:40

which is hardware took a long time like

53:43

raised a lot of money along the way like

53:45

unbelievably proud of the of this

53:47

company. some of these companies. It's

53:50

incredible how little dilution there is

53:53

because the pre just goes through the

53:56

roof. We're seeing also a lot of very

53:59

low dilution but large rounds. You're

54:02

like ramp raising your like 500 million

54:04

at a 40 billion price and actually kind

54:07

of seemingly no kind of 50 million

54:09

rounds at a billion dollar price. How do

54:12

you think about and reflect on those?

54:14

Just a brilliant product for founders

54:16

that they should absolutely take

54:17

advantage of a normalization of

54:20

continuous funding because they do more

54:22

more frequently. How do you think about

54:24

those?

54:25

>> And this goes in every single direction

54:29

like you've got to be producing and

54:31

you've got to get into the rarest of air

54:34

there and probably there's a secondary

54:37

opportunity in that kind of situation

54:39

for us. So we look at that and again

54:42

we're in so early that at those kind of

54:46

numbers that kind of momentum like we're

54:49

trying to sell a little bit of our

54:50

position. Do you find LPs have changed?

54:54

And what I mean by that is like I speak

54:56

to a lot of LPs now. Do you know what

54:58

honestly we can say what we want.

55:00

They've gone back to wanting t TVPI.

55:03

They've gone back to wanting big numbers

55:05

and yes they want DPI. Of course they

55:06

always want DPI but they are still very

55:08

impressed by TVPI and they're very

55:10

impressed by oh wow you're in this

55:12

glossy name lovable lorum mccor there

55:16

still that do you find they've changed

55:18

or are they still the same animal

55:20

there's lots of change because of who

55:23

was doing this 15 years ago and who's

55:26

doing it now you have to have some

55:28

allocation and the big funds provide

55:31

these containers for the large

55:34

endowments and the large, you know,

55:36

public uh investment corporations, the

55:40

if I think of the same LPs that have

55:43

been with us for a long time, uh a lot

55:46

of them like have minimumsiz checks now.

55:50

So, we're too small for quite a few of

55:52

them. It's like if I can't put $50

55:53

million to and I think there's it just

55:56

reflects the inflation of the entire

55:58

environment. And there are a bunch that

56:01

really do need the TVBI, particularly

56:03

the fund of funds, because of who

56:05

they're selling to. By the way, we've

56:08

seen fund of funds do secondaries of

56:10

their entire fund. So, we go, "Oh my

56:13

god, you're in fund two or you're in

56:14

fund four. Like, you should never sell,

56:16

right? Like, this is what's" And it's

56:18

like, "It's not about you, right? Like,

56:20

you're a rounding error in this fund and

56:22

it's got three or four good names." And

56:24

I think what they're trying to do is

56:26

give liquidity to their LPS for the next

56:28

fund. So we've seen when I talk to you

56:31

about secondaries, it's in a particular

56:33

name. We've seen an entire fund, you

56:36

know, billion dollar fund easily just

56:39

sell the sell the whole fund or sell a

56:41

vertical slice of the fund. What's going

56:43

on here is the finance around VC has

56:47

become so much more sophisticated. I

56:49

don't know if this is good for the

56:51

entrepreneurs. It could be because it

56:53

just means there's way more liquidity in

56:56

every direction. And I think there if

56:58

you're a winner, it's it's great because

57:01

you can manage the secondary to some

57:03

degree. And if you're not on the winning

57:05

side in terms of the entire ecosystem,

57:09

it can be very tricky. By the way,

57:11

Harry, I talked to you about this on

57:13

this podcast. we spend other than

57:16

thinking about some secondary in our

57:18

very mature portfolio. I spend very

57:20

little time on this. The beauty of this

57:22

is I am not a financial animal, right?

57:26

Ultimately like I'm much more of a

57:28

entrepreneurial curious animal, right?

57:31

Like I'm looking again for these these

57:34

wizards, right? Like these I don't know

57:36

these like you know wayfinders. I'm

57:39

looking again and this is the problem

57:40

for me in a way is I'm or the blessing

57:44

is I'm looking to repeat a success. I'm

57:47

looking for the next high. I'm looking

57:49

for a Noah gloss. I'm looking for

57:52

someone who is that focused on and has a

57:55

vision and will not take no for an

57:56

answer. That's how I'm spending 90% of

57:59

my time. I'm not spending much time even

58:03

on LP management.

58:04

>> Do you think we have less loyalty than

58:06

ever? You said focus there on the

58:09

founder side. You see founders have

58:11

angel investment portfolios that are as

58:13

big as our fund portfolios. You have

58:15

them doing side funds. You have them

58:17

doing two companies at once.

58:20

You have them leaving very quickly often

58:23

in 6 12 18 months. Is there less focus

58:27

loyalty than ever?

58:29

>> Uh we've definitely seen evidence of

58:31

that. We've also seen people who stick

58:33

it out way beyond what is rational just

58:37

because they're obsessed. So I think on

58:40

the margin you see some of these actors

58:43

you see and we've seen founders

58:46

so-called founders

58:48

and they were like

58:51

kind of the founder but they got a CEO

58:54

involved and then they became exec

58:56

chairman and they used their brand power

59:00

and I think like shame on us for and we

59:03

did get involved in some of these

59:04

situations where we were dazzled and it

59:07

was like you know second time around. Is

59:10

that person going to stick around? And

59:12

some of it is just didn't get big enough

59:15

fast enough.

59:16

>> So, there's some abandonment.

59:18

I still see that the vast minority of

59:21

the time.

59:22

>> Like, I think it's easy to extrapolate

59:24

and go that's a trend. And I could be

59:27

very polyianish about this, but for the

59:30

most part, like I see founders wanting

59:33

to make it work. second time founders is

59:37

a little bit embedded in that question

59:39

and the question is if you've done

59:42

really well what does it take to move

59:45

the needle and I think overall we've

59:47

done a little better on second time

59:49

founders who didn't do that great up

59:51

front they didn't they did okay right

59:54

it's life-changing like the first

59:56

million dollars is so life-changing

59:59

but they're really hungry they've

1:00:01

learned some lessons they've got one or

1:00:03

two people that will join them on on the

1:00:04

next journey. They've learned some

1:00:06

lessons and they are hungry. They're in

1:00:08

a they're in a hurry as well. We've done

1:00:11

better there than generally with folks

1:00:14

who had great outcomes and kind of said

1:00:16

let's go again because those are the

1:00:18

folks who got bored and went like m not

1:00:21

big enough, not fast enough. What What

1:00:23

does no one know? You've been very

1:00:25

successful. What does no one know about

1:00:27

making money that you wish you had been

1:00:30

told earlier?

1:00:34

So, like one weird one for me is like

1:00:37

far more successful than me, but like

1:00:38

I'm much less patient now than I was. I

1:00:41

got used to a higher standard of

1:00:43

service, food, quality of everything.

1:00:46

When something's bad now, it frustrates

1:00:48

me a lot more than it did when I didn't

1:00:51

get used to it.

1:00:53

I don't like that in myself, actually.

1:00:55

I'm less patient. I I I

1:00:59

patience is probably my biggest vice.

1:01:01

lack of patience. If you asked people

1:01:04

about me, I'd say they they generally

1:01:07

say he's great, he's kind, and he's he

1:01:09

lacks patience. I'd say my kids say that

1:01:11

of me. I think it's the ying and the

1:01:13

yang. I think it comes with

1:01:14

entrepreneurship to some degree when

1:01:17

you're that immersed in this

1:01:18

environment. I think you kind of can get

1:01:21

fed up quite quickly.

1:01:24

the the more virtuous answer to you,

1:01:28

which I prefer, is you kind of start to

1:01:31

go, the stuff that really matters is

1:01:34

kindness and how we interact with each

1:01:37

other and how I left you, how you made

1:01:39

me feel, and all the rest is fluff. At

1:01:43

some level or another, we're like our

1:01:45

phones have become these remote controls

1:01:48

for our lives. actually the entry price

1:01:51

to like get what you want when you want.

1:01:54

If you want a vehicle there, if you want

1:01:56

your food there, if you want to book a

1:01:58

flight or a train ride. Earlier last

1:02:01

week, uh the plane is delayed literally

1:02:04

on the Amtrak app. 2 seconds later, ask

1:02:08

the Uber to go to Amtrak, go to Penn

1:02:10

Station instead. Like the degree to

1:02:13

which we can get what we want when we

1:02:16

want at any level. you don't have to be

1:02:18

that wealthy to get it is insane. Right?

1:02:23

So, what's happened is our level of

1:02:26

expectations have just gone up through

1:02:28

the roof. I don't think that's just

1:02:30

about you and me. I think that that's

1:02:32

the perennial equation of like

1:02:34

satisfaction equals perception minus

1:02:36

expectation. So, it's just much easier

1:02:39

to not be satisfied anymore because our

1:02:42

expectations are so high. So our

1:02:44

perception, you know, it's one thing

1:02:46

when you go into a fivestar hotel, you

1:02:48

have this huge expectation. You walk

1:02:49

into a three-star hotel, you have a much

1:02:51

lower expectation. Well, extrapolate

1:02:53

that equation for life now. So it's easy

1:02:56

to get pissed off. And the antidote to

1:03:01

that is stopping for a second and

1:03:04

saying, "How will Harry feel when I left

1:03:07

him today?" like did he feel like I gave

1:03:11

him a real hug and I was kind? And I

1:03:13

think that's going on in my 50s now is

1:03:18

how do I leave people? How do I leave

1:03:20

the world? How do I leave the

1:03:21

entrepreneur? Was it like we squabbled

1:03:23

over the last, you know, percentage

1:03:25

point or it's like just this journey's

1:03:27

been awesome? I always think there's

1:03:29

energy drains and energy gains and how

1:03:31

you leave someone is how you're

1:03:32

remembered. Um going just going back

1:03:35

before we do a quick fight I do have to

1:03:36

ask how does this landscape change with

1:03:39

open AI and anthropic they are so

1:03:41

seismic in terms of just sheer size both

1:03:43

will be trillion dollar plus potentially

1:03:46

close to two trillion how does that

1:03:48

change the landscape do you think for

1:03:50

the better I remember the Microsoft

1:03:54

Google case going on forever and Gates

1:03:56

going you know we are disruptible and at

1:03:59

the time going like who could disrupt

1:04:01

Microsoft and turns out you know Google

1:04:02

was Google and then you go who can

1:04:04

possibly disrupt Google and then you

1:04:06

look at OpenAI and Anthropic and you go

1:04:08

wow like if if nothing else and there's

1:04:11

so much else like if you look at the top

1:04:14

of the funnel in terms of where you

1:04:15

start your search when did you last

1:04:17

start a search on Google right like it's

1:04:21

just mind-blowing that displacement and

1:04:23

the good news in this environment and

1:04:26

this ecosystem is that they will too be

1:04:29

displaced and so the platform has

1:04:32

changed tremendously. Are they going to

1:04:35

be disrupted?

1:04:36

>> No, I don't. I think Google's a net

1:04:37

winner. I think uh I actually think

1:04:40

Google's done.

1:04:43

So I think Microsoft have done a crappy

1:04:46

job of um AI generally like I think

1:04:49

Google's Google is actually if anything

1:04:52

in pole position because they come from

1:04:55

that environment and the ability to

1:04:56

search with context the apply with

1:04:59

context

1:05:00

>> is just like incredible but they're

1:05:03

having to fight like crazy for it.

1:05:05

Microsoft, it's not clear to me that

1:05:08

they can get back because their AI feels

1:05:12

second rate compared to the top three or

1:05:14

four. But I think so there's a platform

1:05:17

change. There's always been a platform.

1:05:19

You could argue that radio, television,

1:05:21

internet was a platform. Can you do well

1:05:24

in that platform? Oh, hell yes. Do you

1:05:27

think they will lead to a ton more

1:05:28

venture money coming in with a huge

1:05:30

amount of money going back to LPS from

1:05:33

the returns that are generated? They'll

1:05:35

plow those back into venture. So, the

1:05:37

returns at the top are going to be

1:05:39

incredible. They have to be now. And I

1:05:42

think that that capital is going to

1:05:43

spill over into venture and all sorts of

1:05:47

investing. You alluded to it earlier,

1:05:48

Angel. I think luxury, right? Like I

1:05:51

think if you own a luxury property, uh I

1:05:54

think

1:05:54

>> San Francisco property prices,

1:05:55

>> oh my god, like San Francisco's Rome. I

1:05:57

was there like 6 weeks ago like San

1:06:00

Francisco and the Bay Area is like and

1:06:02

it's more San Francisco than the Bay

1:06:04

Area is back on steroids, right? It's

1:06:07

like going to Rome, right? You know,

1:06:09

when people write off the United States,

1:06:12

which is to me still the greatest

1:06:14

country in the world for venture

1:06:15

capital, I go like, "When were you last

1:06:17

in San Francisco or the Bay Area?"

1:06:19

because it is insane at the moment.

1:06:22

What's going to happen is there's always

1:06:23

boom and bust. So, you know, a lot's

1:06:26

going to come out of the system at some

1:06:28

point. Are we headed for another dot

1:06:31

crash? Definitely. If like is not a

1:06:35

question when, nobody knows, right? But

1:06:38

is there a lot of capital, a lot of gain

1:06:40

coming out of the system and that will

1:06:41

be in reinvested in venture and it may

1:06:44

not be in classic kind of structural

1:06:47

venture. It may just be in like angels

1:06:51

putting money all over the place and

1:06:52

some of those angels are going to know

1:06:54

people that worked with them or for them

1:06:56

and they're going to, you know, I think

1:06:57

you can bypass traditional venture to a

1:07:00

great extent and that's the challenge

1:07:01

for us. That's the challenge of how do

1:07:03

you stay relevant in this environment

1:07:06

when there are so many alternatives.

1:07:08

>> I completely agree with you. Final one

1:07:10

before we do a quick fire. Do you buy

1:07:11

the commonly stated concern about

1:07:14

smaller teams, job displacement, and a

1:07:17

concerning future for human

1:07:19

participation in labor forces? Underpins

1:07:22

to endeavor are getting better and

1:07:25

better and better. Like I remember, you

1:07:28

know, when we went from servers to cloud

1:07:31

and that was like, wow, like I get all

1:07:34

of this for free, right? Like I don't

1:07:35

have to do any of that, right? Like

1:07:36

security and servers and like forget

1:07:38

that I just do cloud, right? If you look

1:07:41

at like where AI and where this

1:07:43

foundational platform layer kicks you

1:07:46

off, it is incredible what you can do

1:07:50

with very few people. And we are looking

1:07:52

at certainly sub 10 people. Companies

1:07:55

achieve a lot. Do I think that we're

1:07:58

going to have mass unemployment because

1:08:00

of AI? And you're seeing a lot of

1:08:02

leadership now agree with the viewers.

1:08:04

No. I think we're going to see

1:08:06

tremendous productivity gains. I think

1:08:09

like every wave there the halves and the

1:08:10

have nots and if you're not training and

1:08:13

playing it's a little bit why youth has

1:08:15

an advantage because out of college and

1:08:18

that if you're tinkering and playing

1:08:20

right like you are familiar with the

1:08:22

tools you can use the tools and it used

1:08:25

to be the halves and the have nots were

1:08:27

like have data I talked about this with

1:08:29

Noah Glass and Olo all day long going

1:08:31

like the value of having data and using

1:08:34

that data and by the way it's yours to

1:08:37

lose if you don't enrich that data. Now,

1:08:39

the value of having these tools, it's

1:08:42

becoming more and more binary, but I do

1:08:44

believe you'll see swaths of people

1:08:47

retrained on this. And I I think you're

1:08:49

seeing it globally. I think you're

1:08:51

seeing this as a opportunity in lowcost

1:08:54

environments in places that are not

1:08:57

Europe, not the US, not the north where

1:09:00

you can skill people up and you can

1:09:03

provide these skills to the rest of the

1:09:05

world at tremendous cost advantage. My

1:09:07

worry is it's much easier to train than

1:09:09

it is retrain. And actually the

1:09:11

22-year-olds coming out of university

1:09:12

who are tinkering in dorm rooms with

1:09:14

Claude and kind of they're not super AI

1:09:17

pill, but that they're mentally plastic

1:09:19

to it and they they're going to be

1:09:20

pretty good versus Simon or CLA who are

1:09:24

45. They've always done their job in

1:09:25

accounting and they just are not so

1:09:27

mentally plastic.

1:09:28

>> So the only advantage that Simon and Cla

1:09:30

have is they are very vertically

1:09:34

knowledgeable and relevant. So sometimes

1:09:37

in terms of sales, like if you're

1:09:39

selling to yourself, there'll actually

1:09:41

be very good salespeople. This is a

1:09:43

theme that I'm kind of interested in

1:09:45

services business where you won't buy

1:09:49

that from you. You you you want to see

1:09:50

your auditor at some point. You're

1:09:52

prepared to say I know AI will do an

1:09:54

amazing job, but at some point you want

1:09:56

me to come see you and just kind of like

1:09:58

go, you know, I I haven't like left this

1:10:00

whole thing to AI, right? Like I

1:10:01

actually know what I'm doing. So I think

1:10:03

there will be people who are vertically

1:10:05

relevant who be able to sell and there

1:10:08

are many industries where the

1:10:09

relationship still matters. At a certain

1:10:11

point if you've got litigation and $100

1:10:13

million you can get AI to write that

1:10:16

little contract for you where it's

1:10:17

$1,000 on the line but you've got a $100

1:10:19

million litigation you want to look at

1:10:20

me and say like Dave your 10 years of

1:10:23

experience I need it right now. So I

1:10:26

think there are times where knowing a

1:10:29

vertical being relevant in that place

1:10:31

and in the service industries I think

1:10:32

it's good for the UK by the way. I think

1:10:34

there'll be a ton of people who are

1:10:35

still needed for the human interface

1:10:38

that's not going away. I think that a

1:10:40

lot of the work that was grunt work and

1:10:42

human work behind it going away. On the

1:10:45

services side, I think it's just a TAM

1:10:46

expansion play, which is like so much of

1:10:48

the things that you couldn't afford a

1:10:50

lawyer for, you'll use and you'll get

1:10:52

great benefits from. And that is just a

1:10:56

TAM expansion play. I think insurance,

1:10:58

lots of admin, like lots of like life

1:11:00

insurance. I want to there's been a lot

1:11:02

of direct life insurance sales anyway.

1:11:04

Like I But but I think that in bigger

1:11:07

ticket items, having a human who gets it

1:11:11

as the interface, there's still place

1:11:12

for that. Totally agree with that. Um

1:11:15

there was something interesting. I had

1:11:17

this incredible founder June who's the

1:11:18

founder of a company called Similey

1:11:20

which does simulation markets and he was

1:11:22

like we will have companies spend 100 to

1:11:24

200 million on one

1:11:27

uh model kind of result because that

1:11:30

model result is so important like the

1:11:32

output of one query and I was like wow

1:11:35

that's a really interesting world where

1:11:36

you will spend 100 million on anthropic

1:11:39

telling you the answer to one question.

1:11:42

Nuts. What's the size of that

1:11:43

organization that would spend that kind

1:11:45

of money?

1:11:45

>> Oh, [snorts] PNG, uh, Coca-Cola, Nvidia,

1:11:49

uh, Visa, you name it.

1:11:52

>> You know, is it worth us sponsoring the

1:11:54

World Cup for a 10-year exclusivity

1:11:56

period? Visa,

1:11:57

>> right?

1:11:58

>> I think that, uh, governments and

1:12:01

defense organizations,

1:12:03

some kind of speculation with data of

1:12:08

the future. I think that's a very

1:12:10

interesting play. Do you worry that

1:12:13

Trump's been good for business but bad

1:12:16

for everything else? Is that a hard

1:12:18

balance to hold in your head? I ask an

1:12:20

outsider. Genuinely curious. I think you

1:12:23

have to hold many truths at one point in

1:12:27

time and

1:12:29

there's the the question is did Trump

1:12:33

create this environment or is he

1:12:34

presiding over this environment and

1:12:36

getting credit for it. I think with all

1:12:39

presidents they arrive and they get

1:12:41

credit for the environment as it is and

1:12:43

yet it was created many years ago. Uh

1:12:46

and letting AI thrive in the US has

1:12:50

generally been a good thing for the tech

1:12:53

industry in the US. The level

1:12:56

[clears throat] or lack of safeguards on

1:12:58

that could well be problematic. But net

1:13:02

net like if it's good for business, it's

1:13:06

good for the US. I think Rusefeld said

1:13:09

that. I think that's what these

1:13:11

administrations

1:13:13

have said. And by the way, I think that

1:13:16

a lot of the tech backlash

1:13:18

around Biden was for this reason.

1:13:22

Whether it was true or not, a lot of

1:13:24

insiders say to me it was BS, right?

1:13:26

That like for the most part Biden was

1:13:31

super pro business. And if you look at

1:13:33

the subsidies for energy, if you look at

1:13:35

a Tesla today, this is the thing that

1:13:37

kind of I don't really get about Elon is

1:13:41

is the num the the the non-dilutive

1:13:45

government funding that Musk got for

1:13:48

Tesla from the Biden administration was

1:13:51

huge. So without being political, I

1:13:54

think that net net like government in

1:13:58

the US has been pro business for a long

1:14:00

time and I think that the country is

1:14:02

really reaping the rewards of that.

1:14:04

There are two AI superpowers in the

1:14:05

world. By the way, what's so fascinating

1:14:08

is in the 1820s, China was the economic

1:14:12

superpower of the world. I don't know if

1:14:14

you knew that.

1:14:15

>> No, I didn't.

1:14:16

>> Yeah. So Great Britain displaced China.

1:14:19

And a lot of it was industrial

1:14:20

revolution and then the US displaced

1:14:22

Great Britain. There was in the

1:14:23

economist there was a chart on this but

1:14:26

in the 1820s 25% of the world's global

1:14:29

output economic output was from China.

1:14:32

It was the biggest economic machine in

1:14:34

the world. And really what you're seeing

1:14:36

is two superpowers emerge for sure. And

1:14:41

I think a lot of this is going to be

1:14:42

about AI. AI flows into not just

1:14:45

industry, but in terms of what's going

1:14:47

on in defense, having been very very

1:14:51

early the first check in shield AI and

1:14:54

watching how that's played out. The US

1:14:57

needs it. Like our our enemies have

1:15:01

access to all of that on steroids. I I'm

1:15:04

terrified about China right now to be

1:15:05

honest. when you look at the power and

1:15:07

strength of their open models,

1:15:11

but that goes back to thinking about

1:15:14

Microsoft and Google being disrupted.

1:15:16

What could possibly you know that

1:15:18

anthropic and open AI are going to be

1:15:20

disrupted? It's like unequivocal like

1:15:23

our whole careers are about disruption.

1:15:26

Those platforms never ever stay forever.

1:15:29

Where is it going to come from?

1:15:30

Excellent chance it comes from China.

1:15:32

It's coming

1:15:33

>> 100%. God, we haven't have enough time

1:15:35

to for them to establish their

1:15:36

incumbency yet before they're already

1:15:38

being taken down by Chinese open source

1:15:40

models. It goes to the point on the

1:15:41

speed of innovation cycles.

1:15:42

>> Yeah. Yeah. By the way, we haven't even

1:15:44

touched on underlying computing. So, if

1:15:48

you look at photonic computing, if you

1:15:50

look at what's coming down the line now,

1:15:52

so you looked at Intel at a point when

1:15:54

like that that can never be disrupted

1:15:56

and then Nvidia, it's just like

1:15:57

mind-blowing. What's coming to get

1:15:59

Nvidia? like the photonic computing

1:16:02

plays right now where it's not

1:16:03

electrical anymore, it's photons. So if

1:16:05

you look at the data centers where

1:16:07

everything that can be optic fiber now

1:16:10

is so every single connectivity piece of

1:16:14

hardware is fiber. The only thing that

1:16:16

has not been nailed is the chip, right?

1:16:19

You're going to see optic chips with

1:16:22

which are very very energy compliant. So

1:16:25

when people talk about the data centers

1:16:28

and the energy sucks that's going to

1:16:30

change in my view if you say in 10 years

1:16:32

time and I am not a thematic investor

1:16:35

but I am such a deep believer in the

1:16:38

status quo being changed always and not

1:16:41

and like nothing stays the same. I think

1:16:44

photonic computing is coming down the

1:16:46

line and I think that's going to be the

1:16:47

Nvidia disruptor or Nvidia is going to

1:16:49

buy those companies.

1:16:50

>> Okay. And the capital intensity required

1:16:52

to build a photon company I think or an

1:16:55

energy company as we're in some is just

1:16:58

dramatically more capital intense than

1:17:00

prior technology. Again going back to my

1:17:02

point you need more money. This is where

1:17:04

the US could be deficient. If you look

1:17:06

at the amount of money that's being

1:17:08

spent in China on energy efficiency and

1:17:10

energy research now I don't think we're

1:17:13

spending enough. And by the negative of

1:17:15

the Trump administration is we need much

1:17:18

more money being spent on R&D. And I

1:17:20

think there was a view that the

1:17:22

universities are squandering it to a

1:17:23

large extent. I agree with that. But I

1:17:26

think that we tapped off a lot of DARPA

1:17:29

R&D

1:17:31

that goes in that finds its way into

1:17:33

every nook and cranny of of um of the

1:17:36

economy and we need more of that R&D. We

1:17:39

see some of it. I live in Cambridge,

1:17:41

Massachusetts. We we have some of the

1:17:44

best R&D organizations on the planet. If

1:17:46

you look at MIT, Harvard, Northeastern,

1:17:48

BEu, BC, what's going on there? And

1:17:51

cutting that spend, which goes back into

1:17:54

society, I think is problematic.

1:17:56

>> Totally get that. Another one though

1:17:58

that is more challenging, I think, to

1:18:00

change is just policy and regulation.

1:18:01

Like Chinese approach to policy and

1:18:03

regulation is is almost none.

1:18:05

>> It's none.

1:18:05

>> And it means that you can bluntly build

1:18:07

and deploy so much faster.

1:18:09

>> And Europe's the worst. US is

1:18:11

>> tough, too. I'm not in biotech, but when

1:18:14

I talk to friends who are in biotech

1:18:16

venture investing, they're all flying to

1:18:17

China all the time because they're

1:18:19

going, "Look, in terms of R&D, in terms

1:18:21

of licensing, in terms of anything goes,

1:18:24

and in fairness, it's not a totally

1:18:26

anything goes environment, but there's

1:18:28

so much more grassroots activity and a

1:18:31

lot of it has to do with regulatory

1:18:32

environment."

1:18:33

>> Totally get that.

1:18:35

What would cause you final one, what

1:18:37

would cause you to increase fund size?

1:18:40

>> Anything. Oh, I would say um so if you

1:18:45

if if I am honest about what we did

1:18:48

early on is as an angel I had said the

1:18:53

risk premium for the seed stage was way

1:18:56

overstated.

1:18:57

So the premium for experience right like

1:19:03

I couldn't get that. A lot of the folks

1:19:05

that I got involved with very early were

1:19:08

graduating.

1:19:10

There were Noah Glass, Jack, uh you name

1:19:13

it, Eric and Micah. And the there was a

1:19:18

dislocation

1:19:20

between the perception of value later

1:19:23

versus earlier and that has been largely

1:19:27

narrowed and crowded out. So if there

1:19:29

was some kind of Harry, we didn't come

1:19:32

at this going I'm obsessed with economic

1:19:34

arbitrage. We came at this going, I'm

1:19:37

obsessed with great founders and I want

1:19:39

to vicariously be on that journey. But

1:19:42

if you had to look at this

1:19:43

retrospectively and say, what did we do

1:19:45

in economic terms? There was an

1:19:47

arbitrage. There was a real arbitrage

1:19:49

because the risk premium at the seed

1:19:51

stage was way overstated. That has

1:19:54

changed completely. What would cause me

1:19:56

to raise a bigger fund? If I looked at

1:19:58

series A or series B or series C and

1:20:00

went like there is such a value

1:20:02

opportunity because everybody's

1:20:04

abandoning this. I don't think it's true

1:20:06

at the moment. I think just capital and

1:20:08

money finds its way to everything. But

1:20:10

if you went so many series A companies

1:20:13

are orphaned and there's amazing value.

1:20:16

There hasn't been one to 10 to 20 an ARR

1:20:19

increase in one year but wow they're on

1:20:22

track and that looks like it smells like

1:20:24

Olo. It looks like SeatGeek. I think

1:20:26

that would cause me to say we should be

1:20:28

investing $10 million at that stage. So

1:20:30

it's not momentum, it's a sense of wow

1:20:35

like I can't believe that others and I

1:20:37

have been very tempted there. I've been

1:20:38

very tempted to say this company is

1:20:42

doing incredibly well on the revenue

1:20:44

side and it's being undervalued. Final

1:20:46

final one on principle you say about

1:20:49

Olan. I love I think Noah is one of the

1:20:51

great awesome human dude. It's 17-ear

1:20:54

journey to a 1.6 1.7 billion exit.

1:20:59

>> 2 billion exit.

1:21:00

>> 2 billion exit. I love Noah. I love Ola.

1:21:02

It's an amazing business. It's an

1:21:04

amazing journey. But when you think

1:21:05

about like utilization of cash most

1:21:08

optimally, 17 or 18 years at $2 billion

1:21:11

exit, the IRRa is not amazing. How do

1:21:15

you reflect on that and and justify that

1:21:17

versus maybe hotter rounds?

1:21:20

Yeah, I mean the outcome was it's

1:21:22

publicly known eventually Toma Bravo we

1:21:25

took the company private for about a $2

1:21:27

billion valuation. So not a not bad for

1:21:30

a few years of work and if you take on

1:21:33

an IR basis you're probably right. The

1:21:36

journey and the fun of it was just

1:21:38

enormous. So being involved with Noah

1:21:40

where it was Noah, a few other founders

1:21:43

and me from the beginning and being on

1:21:45

the board until that sale was just the

1:21:47

ride of a lifetime. So first I what have

1:21:51

you changed your mind on in the last 12

1:21:53

months? What's been surprising and what

1:21:56

I've changed my mind on a little is is

1:22:01

like where is where AI should have

1:22:04

impacted like crazy and I've seen lesser

1:22:06

impact so far with all the hype with all

1:22:09

the momentum like AI changes so much in

1:22:13

terms of software and enterprise and SMB

1:22:16

other than the models themselves and

1:22:19

some good stuff around human interface

1:22:21

so a lot of stuff around the voice has

1:22:23

gotten a lot better. I don't know about

1:22:25

you, but I would have expected much more

1:22:27

around consumer AI. So, I've seen Sunno,

1:22:30

I've seen but like in terms of changing

1:22:32

how I do stuff, I I type much less,

1:22:36

right? Like I speak much more in terms

1:22:38

of communication. Like I would say there

1:22:41

are so many kind of consumer areas that

1:22:44

I feel are not yet played out at all.

1:22:47

When you're doing Sunno at 5 billion,

1:22:50

what are you underwriting it to? I think

1:22:53

that the folks investing at that level

1:22:56

are going this is a Spotify disruptor

1:22:59

that this is that Spotify and Apple

1:23:01

Music. It's a big bet that

1:23:03

>> you got to go from creation tool to

1:23:04

consumption tool.

1:23:06

>> Oh totally totally. Uh that's why Jack

1:23:09

from Snap was brought in is

1:23:12

interestingly I was at a conference with

1:23:14

Martin and Martin was on a Martin

1:23:16

Kamacho who's the CTO of Sunno and the

1:23:19

panel he was asked a question if a large

1:23:22

language model could do what you do

1:23:26

better than you do it like would you

1:23:28

slot that in and you're talking to the

1:23:29

CTO the guy who's built the the whole

1:23:32

model the entire Puno model is from the

1:23:34

ground up and without missing a beat

1:23:36

Martin goes wouldn't think twice about

1:23:38

it. It goes to your point of this is a

1:23:41

consumer product. The experience, the

1:23:44

interface, think Spotify, right? That's

1:23:47

what we offer, right? How we get there

1:23:50

is obfuscated from the user. The user

1:23:54

couldn't care less. Like whatever gets

1:23:56

you there. Did you ever predict the

1:23:58

speed of that?

1:24:00

>> I mean, no.

1:24:00

>> Yeah.

1:24:01

>> No, definitely not. Because I do you

1:24:03

remember the days when Slack 1 to 10 in

1:24:05

18 months was like the gold standard. I

1:24:08

mean so you know multiple hundreds of

1:24:10

million. I mean half a billion or

1:24:11

whatever it is now. It's nuts.

1:24:13

>> No. No. Goes back to Uber. You know when

1:24:16

Eric's asked how did you know? How did

1:24:18

you know? And Eric goes I didn't. He

1:24:22

said the company I saw before the

1:24:23

company I said saw afterwards. Like we

1:24:26

underwrote those in the exact same way.

1:24:28

And I think when you go anyone in my

1:24:31

seat who says I knew is just full of

1:24:33

[ __ ] [laughter]

1:24:36

[gasps] I I absolutely love that. What's

1:24:38

been the most controversial deal that

1:24:40

you've done internally?

1:24:42

>> What can become controversial is the

1:24:44

what or the where. So certainly Kong was

1:24:46

like got back I said to Eric Korea and

1:24:50

he said you know do you even know if

1:24:51

it's north or south? But the magic there

1:24:54

is I am based in Harvard Square. So

1:24:57

people go, how do you get to Korea,

1:24:59

right? Like how do you get to all sorts

1:25:01

of places? And the answer is Harvard

1:25:03

Square. So Bomb, you know, Bomb drops

1:25:07

out of HBS after his first year and

1:25:09

comes to see me. And another

1:25:11

controversial company was probably

1:25:13

Shield in terms of the what it does. So

1:25:16

I would say the whole partnership didn't

1:25:17

necessarily love, you know, defense

1:25:20

drones. And early on it was like, is

1:25:24

this only defense? So I love it because

1:25:28

has certainly taken us to some very

1:25:31

controversial geos and controversial

1:25:34

watts.

1:25:36

>> Our prediction marketplace is just

1:25:38

legitimized gambling. It has to be right

1:25:41

like it it I mean if you look at like

1:25:43

Kelsey and Poly market what's the

1:25:45

difference there between DraftKings and

1:25:47

Bway and they seem very similar to me.

1:25:50

But by the way this will be

1:25:52

controversial. TVPI verse DPI. The one

1:25:56

looks like a prediction market, right?

1:25:58

And the one's real. Like I I could say

1:26:00

the same, you know, TVPI looks like a

1:26:02

prediction market, right? But I mean,

1:26:05

candidly, when they're doing two billion

1:26:06

in AR, who gives a [ __ ]

1:26:08

>> The one thing that you worry about is a

1:26:10

Trump change in administration and what

1:26:12

that does to regulation around them.

1:26:14

>> Yeah,

1:26:14

>> that's a different game.

1:26:16

>> What do you know now that you wish you'd

1:26:17

known when you started Founder

1:26:18

Collective?

1:26:19

>> So, for the most part, frameworks have

1:26:21

saved us. It's also the place where if I

1:26:24

look at some of the deals that we didn't

1:26:26

do and we just went we used valuation as

1:26:29

shorthand to say no terrible mistakes.

1:26:32

So Clavio

1:26:34

loved Andrew loved Ed came to me first

1:26:38

came through Hugo Funfiran who also sent

1:26:40

us and

1:26:43

didn't do it because of the framework

1:26:45

and the framework allowed me to easily

1:26:47

say no. So we'll miss a lot. We'll make

1:26:50

plenty of mistakes. I think I've freed

1:26:53

myself like you a little more in that

1:26:55

area and just go they're extraordinary.

1:26:58

But the frameworks have saved us as

1:26:59

well.

1:27:00

>> Penultimate one

1:27:03

biggest advice on a happy marriage and

1:27:05

relationship kindness and being present

1:27:09

being present with each other. And I

1:27:11

think like I think of this at dinner at

1:27:15

dinner time no phones are allowed

1:27:18

anywhere near the dining room table. And

1:27:21

I don't take my phone to my bedroom.

1:27:23

Like my phone is never alongside my bed.

1:27:26

Here's the rub. Doesn't I don't need my

1:27:28

phone to be distracted. Like here

1:27:32

distracts me perfectly. How to be

1:27:36

present and involved and look you in the

1:27:38

eye and kind of make you feel with my

1:27:41

body language that I'm hearing you, that

1:27:43

I'm invested in you. I think the same

1:27:46

thing that we think of in founders like

1:27:48

happy life your kids your wife your

1:27:52

siblings your parents like how this is

1:27:55

the lifelong goal like I don't I have

1:27:57

not got this nailed but how do you show

1:28:00

them you're present you're there like

1:28:04

they matter to you and that's that's the

1:28:06

quest final one what are you most

1:28:08

excited for in the next 10 years you

1:28:10

know I I look at like me you know my

1:28:12

mother and I walk marathons uh she's got

1:28:14

our math

1:28:15

Um, I think there'll be amazing

1:28:17

discoveries for chronic conditions which

1:28:19

we always just assumed would be forever

1:28:21

and that could change millions of lives.

1:28:23

I think that's super exciting. What

1:28:25

[snorts] are you most excited for? I

1:28:26

mean, you're leading the witness in a

1:28:28

few ways here, but I would say that each

1:28:33

wave brings things that we couldn't

1:28:35

imagine. And I look back to driverless

1:28:39

cars and there was a promise that that

1:28:42

was like 5 years away. And it turns out

1:28:44

like 20 years from now, I saw Whimo

1:28:47

driving around London. I think it's

1:28:49

coming here soon. We're not quite there.

1:28:52

And yet we're back in the it's slow,

1:28:55

slow, slow, and then it feels like

1:28:56

overnight. And of course, if you were

1:28:58

involved, if you're involved, and this

1:29:00

is again the intoxicating part of what

1:29:03

we do is, you know, before the world

1:29:05

knows or the world cares, but you know

1:29:08

that it took a long time. And yet I

1:29:10

think we're on the threshold of a lot of

1:29:12

really interesting stuff. Like I think

1:29:14

that you and I could be buying the very

1:29:17

last drive driven cars. Like I think

1:29:20

that in 5 to 10 years time like our kids

1:29:23

will not need to drive. And I think with

1:29:25

AI we're on the threshold of a lot of

1:29:27

that and there's a lot of doomsaying

1:29:29

there always is but in terms of

1:29:32

discovery in terms of what we know about

1:29:34

the world in terms of health right in

1:29:36

terms of you know you look at chemo and

1:29:38

the number of friends of mine who have

1:29:40

been treated or have passed away and you

1:29:43

look at chemo and you go that is like

1:29:45

prehistoric and I think that we are with

1:29:49

AI with the amount of compute going on

1:29:52

in healthcare and other realms like

1:29:54

there are solutions coming through, not

1:29:56

fast enough, but I think it's it it's so

1:29:59

exciting what we're involved in.

1:30:01

>> It's very exciting for me too to hear

1:30:03

you say that because I don't actually

1:30:04

have a driver's license and so you could

1:30:07

uh assuade me or relieve that necessity.

1:30:10

David, thank you so

1:30:11

>> you live in the most walkable the mo in

1:30:13

summer the most walkable wonderful city.

1:30:16

You don't need a driver's

1:30:16

>> Oh my god, dude. I never ever need to

1:30:18

drive. Um thank you so much for doing

1:30:20

this. Thank you so much for 11 years of

1:30:22

friendship. Honestly, it means so much

1:30:23

to me and you've always been so kind to

1:30:26

me.

1:30:27

>> Harry, you've gone from strength to

1:30:28

strength and that's my wish for you is

1:30:30

keep going from strength to strength.

1:30:32

You've been a great great voice in this

1:30:34

environment, a great voice in the world.

1:30:36

>> Thank you so much.

1:30:36

>> Thank you.

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