Techstars CEO Maëlle Gavet Talks Pre-Seed Deals, YC, SoftBank & `Zombie Mode' Funds
Newcomer PodJuly 06, 202300:53:1348.73 MB

Techstars CEO Maëlle Gavet Talks Pre-Seed Deals, YC, SoftBank & `Zombie Mode' Funds

Maëlle Gavet and I first crossed paths about a decade ago when she was the CEO of the Russian e-commerce company Ozon. Then, we met up again when she was working as the chief operating officer for the SoftBank-backed real estate tech company Compass. A couple of months ago, I ran into Gavet at a networking dinner in New York City. I interrogated her about her two-and-half years so far as the chief executive officer of Techstars, the global pre-seed investment firm.

I invited Gavet on the Newcomer podcast to talk about her time at Techstars and the state of the early stage market. You can listen on Apple, Spotify, YouTube, Substack’s app or wherever you get your podcasts. I’ve also included some excerpts from the discussion below.

What she said about the state of venture capital firms will strike a chord of fear with many of my readers. Gavet warned that many VC funds are entering “zombie mode.”

She said:

In the VC environment, there is a consolidation ongoing, it’s not visible yet and in my view, the worst is to come. Emerging general partners not being able to raise their next fund. In the venture world, they don’t shut down. It’s not like in the operating company world where a company goes bankrupt and literally fires people, closes the door, and that’s it. In the VC world, it’s more like they move into zombie mode. It’s like we are still managing our last fund, but we’re not raising anymore.

Our conversation covered a range of topics, including Gavet’s book, Trampled by Unicorns: Big Tech’s Empathy Problem and How to Fix It. We concluded our conversation, interrogating how tech has changed since she published the book and discussing what it would mean for brewing artificial intelligence regulation.

Give it a listen

Lightly edited podcast excerpts from my conversation with Maëlle Gavet:

What was the main thing that you wanted to change about Techstars?

I wanted Techstars to become the best and largest pre-seed investor in the world. I thought that there were a lot of really good building blocks. The fundamentals were there, and there was also an opportunity to scale it further, streamline it, strengthen it, and provide more value to entrepreneurs, helping them get better terms, better exits, and better valuations. That’s a long process. The VC industry works in a very, very long cycle. So it’s not like you arrive and then three months later things change. But that was the idea of taking this great company to a whole different level. To start, when I would talk about Techstars, people would actually know who we are and what we do. And I remember announcing that I was joining Techstars to my network, and a few people, including venture capitalists from Silicon Valley who will remain unnamed, saying: Why are you joining a nonprofit? My answer was, this is not a nonprofit, this is an investment business and a pretty good one at that. It’s just that they never really position themselves as an investment business. And so part of the work was to change internally and externally, the image of Techstars to say, we are very large pre-seed investors. And by the way, as for Crunchbase, a few months ago, we officially became the largest pre-seed investor in the world.

What has been the company with the best return for Techstars?

We have some really, really cool companies that I like very much. Companies like Chainalysis made headlines not long ago because they provide blockchain data and analysis to governments, banks and businesses around the globe. And when things like FTX happen, and it’s only the most famous but there have been multiple situations where figuring out what is happening in the blockchain, crypto world has been pretty critical for a lot of institutions. Chainalysis is usually the company that calls.

One that I liked very much is called Remitly. They’re a mobile payments service that enables users to make a person-to-person international money transfer. So that’s the tagline. What they do is that they allow to a large extent immigrants from all around the world to send money in a safe and cheap way to their families and to the people who need it. That's a $6 billion company. They went through an IPO in 2021. This is a company with a mission, which is amazing.

We’re talking about billion dollar plus companies, and we can also talk about smaller companies because we have 3,600 companies in our portfolio. We’ve got a bunch. But the one that I like a lot among our billion-dollar-plus companies is a company called Zipline. They design and manufacture these drones, and then they operate them to deliver vital medical products in Africa. It’s a $3 billion company. They did successful fundraising in April of this year. Again, what they’re doing really makes a lot of sense for the world, and the risk of using a Silicon Valley sentence: to make the world a better place. But the reason why it matters so much is because I deeply believe and so does my team that big money comes from solving big problems. Big problems usually are found in things that make the world a better place. Not always, but it does help. So that’s my $3 billion-plus favorite company, but we got quite a few others.

Are there standard terms for Techstars? If I’m an entrepreneur, what should I expect in terms of money and ownership?

We have standard terms and they’re public. So it’s $20,000 plus $100,000 convertible notes. And depending on the conversion of the note, we ended up on average about 8% of the capital in the company. Basically what we provide to founders is the capital, obviously. But there is what we call the Techstars formula. So it’s the $120k that I've just mentioned. It’s the program. Our programs are very intense. It’s a small class, very small classes — 10 to 15 companies. It’s very hands-on. You have the Techstars team, and these are Techstars employees dedicated to that particular program. These tend to be people who are former entrepreneurs themselves.

What is your read on the funding environment right now?

In the VC environment, there is a consolidation ongoing, it’s not visible yet and in my view, the worst is to come. Emerging general partners not being able to raise their next fund. In the venture world, they don’t shut down. It’s not like in the operating company world where a company goes bankrupt and literally fires people, closes the door, and that’s it. In the VC world, it’s more like they move into zombie mode. It’s like we are still managing our last fund, but we’re not raising anymore.

A lot of venture firms have not yet taken the full write-down on their valuation, which compounds the problem because a lot of institutional LPs have public and private portfolios and the public portfolios have taken the write-down. Valuations has dropped quite dramatically.

We came from a period where it was not abnormal for a venture firm to raise every two years, sometimes every year. And so a lot of the firms are now out in the market fundraising. And if you take a significant write down, then suddenly your performance on paper doesn’t look great. And so it can create a problem for you. So it’s not like they are in denial. I just think that they’re trying to keep the appearances. The institutional LP knows that so there’s like a double effect. The first one is most institutional LPs are over overexposed to VC because the VC hasn’t taken the write-down that the public market has so there’s like a denominator effect. And then the second reason is the LPs know when they look at the GP they invested in that some of them have not taken the full write down, and they’re like, okay, maybe we’re going to wait to see where all of that lands. And so VC environment is very tricky at the moment, and I think what we’re observing is a complete change of the guard, a complete reorganization of the venture space. It’s not over. My guess is that it’s probably another few another couple of years. At the outcome of that change, we're most likely going to see very different players really influencing the markets.

I would assume that over time, there’s less money available.

There’s less easy money available. We have a little over 15,000 investors who have made an investment in Techstars, portfolio companies we’ve been connected with. So we talk to a lot of these people like we are deal flow to the VC industry, we’re not really a VC ourselves. And what we tell our portfolio companies is, it’s not that there is no money. There absolutely is some money, but it’s harder to get because the VC is going back to some fundamentals — you should probably do due diligence before you give a check of a few million dollars to a company. You are going to have to show a clear path to profitability — doesn’t mean that you have to be profitable, but it has to be clear and credible, not like you know, the hockey stick that makes you profitable in year 10 if all the planets align and you have no competition. And so that, by definition makes it a lot harder to create compelling cases. And then in a lot of cases, the VC will now ask, even at an early stage, to see some traction. We have companies that have raised recently very good rounds at seed and Series A levels, but they had a good track record a clear path to profitability, and a great product market fit. I think, if I had to summarize: Gone are the times where you could go and raise $5, $10, $15 million based on a napkin and a barely put together MVP [minimum viable product]. That’s not happening anymore unless you're in AI. And that's a different thing.

Some of the founders think the gloom and doom has been oversold. VCs want to get better terms, and it’s in VC’s interest to emphasize how bad things are. What do you say to that?

The valuation that we saw in 2021 and 2022 didn't make a lot of sense. We’re seeing a recalibration of the markets. We also say that to our portfolio companies: If you are being offered a down round, you probably should accept it because most likely, and obviously it's always on a case-by-case basis, but most likely, your last valuation was probably a little inflated, and the new valuation that you're getting is probably closer to reality. And so yes, it looks like you're down round. But maybe the way you should look at it is your previous round was an out of the ordinary round and this is the normal round. So it's not a down-round technically; it’s just a normal round.



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00:00:01
Hey, it's Eric Newcomer. This week I'm talking to Myel

00:00:05
Gave the CEO of tech stars of former ecommerce entrepreneur

00:00:10
and the former chief operating officer of SoftBank back real

00:00:14
estate company Compass. Myel has a great vantage point

00:00:17
into early stage startups across the world.

00:00:22
So we had a great conversation. I think I'll really enjoy it.

00:00:24
Here's the episode. Thank you so much for coming on

00:00:27
the show. I really appreciate it.

00:00:29
My pleasure. Very excited to be here.

00:00:31
I feel like you really get to see the full startup universe.

00:00:35
Tech Stars covers so many startups.

00:00:38
Can you just give me a sense like just so people really get

00:00:42
this expanse of startups you see, like how many portfolio

00:00:46
companies you have now or how do you think about sort of the

00:00:49
reach of Tech Stars? Yes, absolutely.

00:00:51
So Textures has been in business for 16 years now and we have

00:00:56
3600. Portfolio companies, so

00:01:00
companies we invested in at some point or another during this 16

00:01:04
years and. 1006. 103 and counting.

00:01:08
We have a couple of investment in the making as we're speaking.

00:01:11
So if you ask me again tomorrow, there will be a few more in our

00:01:14
portfolio and we do that all around the world.

00:01:18
So we have invested in companies from 60 different countries, 60

00:01:23
and so we invest precede, we invest exclusively really early

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stage. And you have to have some

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relationship to tech because of the scale that it gives you.

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But other than that, like we're really invested across the board

00:01:37
from fin tech to health tech to prop tech to like you name it,

00:01:42
we usually have it. You've been at Tech Stars like 2

00:01:46
1/2 years now. I mean, we met like, I think on

00:01:49
the conference circuit. You love to talk about what the

00:01:52
Aspen Airport. You flagged me down, I think

00:01:54
after like brainstorm. I think at the time I was at.

00:01:57
Ozone and But you and I, we had already talked before, right?

00:02:00
Right, right. And so I was in the.

00:02:02
Information, Yeah. And then I came to your office

00:02:06
when you were at Compass. So anyway, we've seen each other

00:02:08
around the world for a long time now.

00:02:11
And you sort of like went to tech stars during the pandemic,

00:02:14
right? I mean, it was about the same

00:02:16
time I think I quit Bloomberg to start the newsletter.

00:02:19
So I mean a big job change in the pandemic and tech stars, I

00:02:22
think for like. The incubator accelerator world,

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you know, the pandemic was like a real sort of like how do we

00:02:29
react moment. What was the main thing you

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wanted to change? I mean it was sort of the reach

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or sort of the type of entrepreneur you attracted or

00:02:37
like coming in like what was sort of your top priority?

00:02:42
I wanted Textures to become the best and largest precede

00:02:46
investor in the world. I thought that there was a lot

00:02:49
of, again, really good building blocks.

00:02:52
The fundamentals were there and it was also an opportunity to

00:02:57
scale it, further streamline it, strengthen it, provide more

00:03:01
value to entrepreneurs, help them get better terms, better

00:03:07
exit, better valuation. And that's a look.

00:03:10
That's a long process. The VC industry works in very,

00:03:13
very long cycle. It's not like you arrive and

00:03:16
then three months later things change, but that was the idea of

00:03:20
taking this. Great company to like a whole

00:03:24
different level where I mean to start, when I would talk about

00:03:28
tech stars, people would actually know who we are and

00:03:32
what we do. And I remember announcing that I

00:03:34
was joining tech stars to my network and a few people

00:03:39
including venture capitalist from Silicon Valley, we will

00:03:42
remain unnamed saying why are you joining a nonprofit?

00:03:46
And my answer was this is not a nonprofit, this is an investment

00:03:50
business and a pretty good one at that is just they never

00:03:54
really position themselves as an investment business.

00:03:57
And so part of the work was to change internally and externally

00:04:02
the image of textures to say we are a very large precede

00:04:07
investors and by the way as per crunch base we a few months ago

00:04:11
we officially became the largest precede investor in the world,

00:04:15
so. Who did you pass?

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Is that 500 Global A? Lot of friendly people.

00:04:22
A lot of friendly people. Just to sort of like quick

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facts, like what is the best return so far for like tech

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stars? We have some really cool company

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that I like very much. So companies like and I don't

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know how many of them you know, but like.

00:04:37
Company like Chain Analysis. They've met the OK, so they met

00:04:41
headlines not long ago because they provide blockchain data and

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analysis to governments, banks, and businesses around the globe.

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And when things like FTX happen. And it's only the most famous.

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But there's been multiple situations where figuring out

00:04:58
what is happening in the blockchain crypto world has been

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pretty critical for a lot of institution.

00:05:05
Chin Analysis is usually the company they call.

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That's a super high markup. What?

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8 billion something? Yeah.

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The company, I think the last valuation was 7.3, but they had

00:05:14
a peak above that. So that's one of them, one that

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I like very much. It's called Remitly.

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There are mobile payment service that enable users to make person

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to person international money transfer.

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So that's the tagline. What they do is that they allow

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to a large extent, immigrants from all around the world to

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send money in a safe and cheap way to their families and to the

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people who need it. And so that's a $6 billion

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company. They went through IPO in 2021.

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Yeah, because that was the year I joined.

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So 2021. And I think there this is a

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company with a mission which I think is is amazing.

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Can I have a third one that exactly?

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Yeah, people. I love specific companies.

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So the one that I find fascinating and again we're

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talking about billion dollar plus company, we can also talk

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about smaller company because with 3600 companies in our

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portfolio we got a bunch. But the one that I like a lot

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among our billion dollar plus company is a company called Zip

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Line. Oh yeah, of course.

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And most people, when they know about zip line, they mostly

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think you know about about either, if they know what.

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Drones in Africa? Right, exactly.

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Drones in Africa. And what they do is that they

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design and they manufacturers these drones and then they

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operate them to deliver vital medical products.

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And it's a $3 billion company. They did a successful

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fundraising in April of this year.

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And again, what they're doing really makes a lot of sense for

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the world and at the risk of using a Silicon Valley sentence,

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like to make the world a better place.

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But the reason why it matters so much is because I deeply believe

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and and so is my team, that big money comes from solving big

00:07:02
problems and big problems usually are found.

00:07:07
In things that make the world a better place.

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Not always, but it does help. So that's my $3 billion plus

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favorite company, but we got a quite a few others so I could

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keep going. Then are there standard terms

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for tech stars? Like if I'm an entrepreneur,

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like, yeah, what should I expect from you all in terms of money

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and ownership? Yeah, no, absolutely.

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So we have standard terms in their public.

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So it's $20 + 100 dollar convertible notes.

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And depending on the conversion of the notes, we end up on

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average with about 8% of the capital in the company.

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And basically what we provide to founders is the capital

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obviously, but there is what we call the textures formula.

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So it's the 120 K that I've just mentioned.

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It's the program themselves. Our actuator programs are very

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intense. It's small class, very small

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class. It's 10 to 15 companies.

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It's very hands on. You have the texters team this

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or Texters employee dedicated to that particular program.

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These tend to be people who are former entrepreneurs themselves

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and during this program it's like.

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Six days a week, it's very intense.

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I mean cannot have a second job or do a bunch of other stuff on

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the side. Like it's full time and it's

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it's not rare for an entrepreneur at the end of the

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program to be like, hey, I'd love to take a holiday.

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It's like that you called, you need to go and phone raise now.

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So there's the program itself, then there's all the services

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afterwards, because once you graduate from the program, we

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have a series of services from helping you to fundraise to

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connecting you with more mentors, more alumni.

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We have a. Large group of corporate

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partners, companies like Audi or ABN, Amro or JP Morgan or Ecolab

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and eBay. We've just announced A

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partnership with eBay. And so connecting them with this

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corporate partner does matter. And then last but not least, as

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I say, we have a huge network And so even after you graduate

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from the program, you can always leverage that network, which is

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truly global because we've been running.

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Tax rate of programs all around the world and we invested in 60

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plus countries. Like recently I was talking to a

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portfolio company of ours who is trying to figure out how to

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enter Japan. And guess what, we have a really

00:09:32
good relationship with the Ministry of Economy in Japan and

00:09:35
we have run multiple programs in Japan and we have a pretty

00:09:38
robust mentor bench in Japan. And so it was literally a phone

00:09:43
call. It's like yeah, sure, no

00:09:44
problem. Let me connect you to X and we

00:09:47
can do that in. A lot of countries around the

00:09:50
world. So you you have this, you know,

00:09:52
global View preseed companies. Yeah, I'm just curious given

00:09:56
that to get your sense of the market right now because I feel

00:10:00
like, you know, I've said this so many times, but it keeps

00:10:03
being true, like AI feels so hot and then there's a downturn and

00:10:08
a lot of other places, but there is still been this sort of hot

00:10:13
seed environment because the late stage investors want to

00:10:15
invest in something. And then the last point I would

00:10:18
observe is just that, you know, the public, you know the big

00:10:22
tech stocks have been back up. So I don't know how do you make

00:10:25
what is your read on the funding environment right now?

00:10:28
Because I imagine when you invest in a precede company, you

00:10:31
want to make sure that there's some path to them fundraising,

00:10:35
you know, a Series A down the road or how do you think about

00:10:38
the environment? So complex question was a lot of

00:10:41
different elements of answers. So let's start with the VC

00:10:45
environment. So the VC there is a

00:10:47
consolidation ongoing, it's not visible yet and in my view the

00:10:51
worst is to come. Because.

00:10:54
In terms of like VC firm shutting down?

00:10:55
Use. Yes.

00:10:56
Yeah, exactly. Emerging GP not being able to

00:11:00
raise their next fund. And in the venture world, they

00:11:02
don't shut down. It's like in the operating

00:11:05
company world where a company goes like goes bankrupt and like

00:11:08
literally fire people close the door and then that's it.

00:11:11
In VC world, it's more like they move into zombie mode.

00:11:15
Right. We're still managing our last

00:11:17
phone, but we're not raising anymore.

00:11:20
Makes it so hard for a reporter to call the end because it's

00:11:23
like, well, OK, maybe they let it slip one year.

00:11:25
Does that mean they're never raising again, or does that mean

00:11:28
they're gonna try again next year?

00:11:29
Exactly. It's a very slow, slow death.

00:11:32
So this is definitely happening and then you combine that to the

00:11:36
fact that a lot of venture firm have not yet taken the full

00:11:42
write down. On their valuation, which by the

00:11:46
way creates an even bigger, it compounds the problem because a

00:11:50
lot of institutional Lps have public and private portfolio and

00:11:54
the public portfolios have obviously the public market have

00:11:57
obviously taken the right down, I mean valuation have.

00:12:00
You dramatic. What I've always heard is you

00:12:02
want to be in the red when everyone else is.

00:12:04
Everybody else is falling. You want to mark it down of

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like, OK, it was a brutal period.

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But if you drag it out and you are in denial and you say, oh

00:12:12
man, these companies are still good and then you have to mark

00:12:15
them down, yes. Yeah, Then you look bad when

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everybody else is at least starting to rebound.

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And that's nobody. No Lps like that.

00:12:22
But they're not. I don't think they're in denial.

00:12:25
I think the VCs are basically for a lot of them, fundraising

00:12:28
because you also have to remember we came from a period

00:12:31
where it was not abnormal for a venture firm to raise every two

00:12:36
years, sometime every year and so.

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A lot of the firms are now out in the market fund raising and

00:12:43
if you take a significant write down then suddenly your

00:12:46
performance on paper doesn't look great and so it creates a

00:12:49
problem for you. So it's not like they're in

00:12:51
denial, I just think that they're trying you're.

00:12:53
Like it's worse. They know and they.

00:12:56
Yes. And the Lp's know that, the

00:12:58
institutional LP know that. So there's like the double

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effect. The first one is most

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institutional Lp's are overexposed to VC because the VC

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haven't taken the right down that the public market have.

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So there's like a denominator effect.

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And then the second reason is the Lp's know when they look at

00:13:16
the their, the GP they invested in that some of them have not

00:13:20
taken the full right down and they're like okay.

00:13:22
Maybe we're going to wait to see where all of that.

00:13:25
Lands. And so this environment very

00:13:29
tricky at the moment and I think what we're observing is a

00:13:32
complete change of the guard, a complete reorganization of the

00:13:36
venture space. And it's not over, my guess,

00:13:39
it's probably another couple of years, who knows.

00:13:41
I don't have a great crystal ball on these things, but there

00:13:44
is something happening and at the outcome of that change,

00:13:48
we're most likely going to see very different players really

00:13:52
influencing the markets. OK.

00:13:54
So that's the VC piece of it and that means, you know, I would

00:13:58
extrapolate over time less, less money available, right?

00:14:02
Less easy money available. So the way we talk to our

00:14:06
portfolio companies because we have you know a little over

00:14:11
15 investors who have made an investment in the Textures

00:14:14
portfolio companies we've been connected with.

00:14:17
So we we talk to a lot of these people like we we are deal flow

00:14:20
to the VC industry, we're not really VC ourselves.

00:14:23
And what we tell our portfolio companies is it's not that there

00:14:27
is no money, there absolutely is some money.

00:14:30
It's just it's harder to get because the VC are going back to

00:14:34
some fundamentals like you should probably do due diligence

00:14:37
before you give a check of a few $1 to a company, you

00:14:41
know wild stock. You are going to have to show a

00:14:45
clear pass to profitability. Doesn't mean that you have to be

00:14:48
profitable, but it has to be. Clear and credible.

00:14:52
Not like, you know, the hockey stick that makes you profitable

00:14:54
in year 10 if like all the planets align and you have no

00:14:58
competition. And so that by definition makes

00:15:01
it a lot harder to create compelling cases.

00:15:05
And then in a lot of cases the VC will now ask, even at an

00:15:09
early stage, to see some tractions.

00:15:11
But if you combine that like we have companies that have raised

00:15:15
recently very good round at seed and Series A level, but they had

00:15:20
again like they had like a good track record, a clear pass to

00:15:23
profitability, a great product market fit.

00:15:26
I think if I had to summarize, gone are the times where you

00:15:29
could go and raise five, ten, $15 million based on the napkin

00:15:33
and a barely put together MVP. That's not happening anymore

00:15:37
unless you're in AI. And that's a different that's a

00:15:40
different thing, right? There's a certain strain of

00:15:43
founder, you know, the not let's, I mean everybody's

00:15:46
becoming the AI founder now. But you know some of the

00:15:48
founders think, oh, the gloom and doom has been oversold.

00:15:52
You know, VCs wanna get better terms.

00:15:55
So it's like in VCs interest to emphasize like how bad things

00:15:59
are. I don't know what do you say to

00:16:01
that? I said that the valuation that

00:16:05
we saw in 2021-2022 didn't make a lot of sense and I think we're

00:16:11
seeing a recalibration of the market.

00:16:14
We also say that to our portfolio companies, if you are

00:16:17
being offered a down round, you probably should accept it

00:16:22
because most likely and obviously it's always on the

00:16:24
case by case basis, but most likely your last valuation was

00:16:29
probably a little inflated. And the new valuation that

00:16:33
you're getting is probably closer to reality.

00:16:37
And so yes, it looks like a down round, but maybe the way you

00:16:41
should look at it as your previous round was it out of the

00:16:44
ordinary round and this is the normal round.

00:16:46
So it's not a down round technically, it's just a normal

00:16:49
round. How do you think about like

00:16:52
going after spaces like I mean to some degree.

00:16:56
I mean, I think you were just saying before we started

00:16:58
recording that you know, you're in the business of like

00:17:00
searching for Black Swan events. Does that mean like you're going

00:17:05
deep in AI now or it's like, oh man, the foundation models have

00:17:08
already been funded? Or how do you think about with

00:17:12
so many portfolio companies targeting sectors?

00:17:15
The way we think about it is by practices.

00:17:18
So we have 15 practices. So again, like space and

00:17:21
defense, we're one of the most active and now, if not the most

00:17:25
active. Investor in the world in space

00:17:27
and defense, health tech, we've invested in house tech really

00:17:30
early on and we have a really strong practice there.

00:17:33
And we have partner like United Healthcare in that program.

00:17:37
And so again, 15 practices, some of them are industry related

00:17:41
like the two I've just mentioned.

00:17:43
Some of them are horizontal practices.

00:17:45
So things like AI or things like blockchain would be in what we

00:17:50
call horizontal practices, meaning there's not an AI

00:17:53
industry. There is an AI capabilities that

00:17:56
is now being implemented across industries and AI is nothing

00:18:02
new. I think what has changed is or

00:18:04
thanks to ChatGPT and the fact that it was so easy to

00:18:07
understand, now my mother understand what AI means and so

00:18:11
do VCs. It's as a result of that there

00:18:14
is suddenly like the next full move of like oh, AI is the next

00:18:18
thing that is going to change everything.

00:18:20
And by the way I do agree that AI is actually.

00:18:22
A once in a lifetime evolution from a tech perspective.

00:18:25
So it's not to diminish the impact of AI, but like AI

00:18:29
powered business, I've been in business for a really long time

00:18:34
and we've invested in AI powered business for, I don't know,

00:18:39
10-15 years. Like it's nothing completely

00:18:42
brand new. So the people who are.

00:18:44
Discovering AI right now, I don't know.

00:18:47
From a VC perspective, it's like, yeah, there's a lot of

00:18:50
things happening, but there were a lot of things happening two

00:18:52
years ago as well. I mean you just announced this

00:18:55
eBay partnership and you obviously have sort of a

00:18:59
background in e-commerce. I'm curious sort of what the

00:19:04
plan is there and you know, are you bullish on e-commerce today,

00:19:08
some of the the Warby Parker type investments, I feel like

00:19:11
some investors. I've sort of fallen out on

00:19:14
direct to consumer sort of thinking that it's harder to

00:19:17
build like a venture scale business.

00:19:20
So what opportunity do you see in e-commerce right now for

00:19:23
startups? So obviously I can't speak for

00:19:26
eBay. They will have to have their own

00:19:28
view and their own opinion. I'm just gonna talk about it

00:19:31
from texture's point of view and from my point of view, because

00:19:33
as you mentioned, I come from e-commerce and I spend quite a

00:19:36
lot of time in that industry. I think people confuse often

00:19:40
ecommerce with direct to consumer.

00:19:43
It's like oh how can we create the next whatever Amazon or the

00:19:47
next Warby Parker. I mean Amazon is not exactly

00:19:50
direct to consumer, but you know what I mean?

00:19:51
Like the basically people are associating ecommerce exactly

00:19:56
like with a brand that creates a product and that then goes and

00:20:00
sell it to the consumer whether they are the one producing that

00:20:03
brand or whether like Amazon, they aggregate other people

00:20:07
brands and then sell it. And it's not to say that there's

00:20:10
no innovation there. Maybe there are some brand and

00:20:12
some product that they're not properly sold to consumer.

00:20:15
There's also, we have to remember we have a very US

00:20:18
centric view of the world. There's a lot of other countries

00:20:21
around the world who may not have the ecommerce landscape

00:20:25
that we have in the US or we have in Europe.

00:20:27
But to me that is like a tiny little piece of ecommerce.

00:20:31
There is everything related to digital marketing, especially

00:20:35
with AI now and all the content noise that is about to come our

00:20:39
way thanks to that or because of that and the fact that Facebook

00:20:43
is not the marketing platform that it used to be.

00:20:46
Like digital marketing in itself, there's a whole world in

00:20:48
there that needs to be reinvented.

00:20:50
Payments, we talked about blockchain.

00:20:53
There is like a whole universe of how do you do payment for

00:20:56
e-commerce in a better way. Especially outside of the United

00:21:00
States, especially in countries where the banking system is not

00:21:04
as robust, though actually not that I'm saying it out loud, the

00:21:07
banking system robust in the US there's a problem, but I you

00:21:10
know what I mean. So payment, there's a ton of

00:21:12
things to do. Infrastructure, the e-commerce

00:21:17
require is a very CapEx intensive business, warehouses,

00:21:21
distribution system, supply chain, so everything related to

00:21:25
supply chain and we felt it. During COVID, where all the

00:21:29
supply chains got disrupted and not just between China and the

00:21:33
West, but like globally supply chain got disrupted, created a

00:21:37
ton of questions around like how do we create a new supply chain

00:21:41
more robust, more resilient, cheaper, faster.

00:21:44
That's e-commerce. And then I'll give you one last

00:21:48
one which is big. Is everything related to the

00:21:51
environmental impact e-commerce? Is not necessarily the most

00:21:56
friendly way of selling things to people.

00:21:59
Think about the amount of cardboard that we are using

00:22:04
thanks to Amazon. Think about all the goods that

00:22:07
are being shipped from one side of the planet to another side of

00:22:10
the planet, and then between warehouses and so there's a

00:22:13
whole world. Around how do you do supply

00:22:16
chain And again like these are four topics, but I can keep

00:22:19
going. There's so many things that can

00:22:21
be improving e-commerce. What can you say about the eBay

00:22:24
partnership? That we're very excited.

00:22:27
You just said there's something, but you haven't really said like

00:22:29
what. I assume they'll work with some

00:22:32
of your companies. Or yes, yes.

00:22:34
The idea is that we run that program for three months

00:22:38
together. There's gonna be.

00:22:40
EBay executive coming into the program and you know, sharing

00:22:44
their knowledge, sharing their problem, sharing feedback on the

00:22:48
company's ideas that we selected.

00:22:51
And to me that's the power of the partnership we have with so

00:22:55
many of these corporate or government partner.

00:22:58
Like if you're a space startup like we partner with NASA, like

00:23:03
you probably should come and talk to us if you're in the food

00:23:06
tech or agrotech business. We have a partnership with

00:23:10
Ecolab, which is, if you may feel like that's a big deal,

00:23:13
like if you are interested in the future of mobility, we have

00:23:17
a partnership with Audi, autonomous car and all of that.

00:23:20
Like you probably should also talk to us if you are interested

00:23:24
in alternative energy. We have a big investment hub in

00:23:28
Oslo with a company called Ecuador.

00:23:31
And so that's everything related to alternative energies and I

00:23:35
can keep going, I'm going to stop here, but it's just like.

00:23:38
This partner bring an incredible amount of knowledge, including

00:23:43
what are the things that are not working and that they would love

00:23:46
for a startup to solve. And then they open their door to

00:23:50
their labs, to their sales team to like It's just it takes to

00:23:54
start up to a whole different level.

00:23:57
And for the corporate partner or the government agency, it's just

00:24:00
it's an opportunity to get plugged right into innovation.

00:24:04
And see what's coming that could potentially help your business,

00:24:07
but that could also disrupt your business.

00:24:10
I want to take stock of like the do you do you call yourselves an

00:24:15
accelerator incubator? First of all, I feel like people

00:24:18
never know what to say. So we call ourself A precede

00:24:22
investor, but joke apart, we call ourself A precede investor

00:24:28
and the X rater. So the term that we use is X

00:24:30
rater. Is really a mean to an end.

00:24:33
It's just it's under the premise or the idea or the conviction

00:24:37
actually based on the data that if you at the precede level, if

00:24:41
you just give money to startups, you may as well go to the casino

00:24:49
and play roulette. That is about the same chance of

00:24:53
winning. And the reason is that at the

00:24:56
precede level, most companies that you are going to be

00:25:00
investing in, and there are exceptions, but most companies

00:25:03
that you are going to be investing in, they're going to

00:25:05
pivot. They're going to change what

00:25:07
they want to work on. They're going to realize that

00:25:09
what they were working on is not exactly that.

00:25:11
A lot of them are first time founders.

00:25:14
They're going to change their team because they started with

00:25:16
one team and they're going to finish with another one.

00:25:18
There's so many things that can change that.

00:25:22
You basically, at the precede level, if you really want to

00:25:25
increase your chances of getting somewhere with the company, you

00:25:31
have to support them. You have to be with them in the

00:25:34
trenches and go through the ups and downs of what it is to be an

00:25:39
entrepreneur. Because it's so hard to be an

00:25:42
entrepreneur. It's always been hard, but like

00:25:44
right now it's particularly hard.

00:25:45
And so it's really about this idea that just giving money is

00:25:49
not enough. You need to provide support, You

00:25:52
need to provide guidance, you need to provide mentorship, you

00:25:54
need to provide connection, you need to provide all of that.

00:25:57
And that's the reason why the X Rater program plus all the

00:26:00
services after the program come into play.

00:26:03
So how do you think of tech stars relative to Y Combinator?

00:26:07
I mean, obviously, you know, they're the juggernaut in the

00:26:10
room. Like are you trying to sell to

00:26:13
the same founder? How much do you see them as sort

00:26:16
of a direct competitor? How do you think about YC?

00:26:19
I think YC is an amazing business.

00:26:21
I've always recognized that they've done a lot of really

00:26:24
interesting stuff and starting with they've built an incredible

00:26:27
brand. Like the simple fact that even

00:26:30
though Textures and YC started X Rater program at the same time,

00:26:35
the fact that the world associate the world X Rater with

00:26:38
YC tells you a lot about what they've been able to do.

00:26:42
And look, I'm a very competitive person, but at the same time I

00:26:45
want to give credit where credit is due.

00:26:47
I think they've done a pretty, pretty fantastic job.

00:26:50
They've also done a pretty fantastic job in in building

00:26:53
relationship with Silicon Valley.

00:26:55
We operate in 16 countries, so we invest in 60 plus countries,

00:27:00
but we have physical offices in 1616 and until very recently we

00:27:06
were not in Silicon Valley, which is problematic.

00:27:10
I think YC has done a very strong job at that.

00:27:13
Yeah, there was a second where? I mean it's almost to your

00:27:15
advantage that they're very focused on their presence in

00:27:18
Mountain View in California, like for a second they were

00:27:21
during the pandemic sort of flirting with going all remote,

00:27:25
which would have brought more of a direct competition or?

00:27:29
The way I think about it is we've done an analysis when I

00:27:33
join because we're business. So I was like, OK, can we talk

00:27:36
about our target addressable market and apply to us the same

00:27:40
thing that we're applying to our portfolio companies when we

00:27:42
select them and when we help them grow?

00:27:45
And so I was like okay, what's the target addressable market?

00:27:47
Like how many founders do we think could be backed every year

00:27:52
by a precede investor. And we've done a ton of analysis

00:27:56
and I give you the bottom line the IT was like this probably

00:28:01
every year depending on how you look at it, between 70 and

00:28:05
100 entrepreneurs who would be worse looking at and

00:28:11
potentially back at the precede level.

00:28:14
And a lot of them are not VC backable right now, which is by

00:28:18
the way why we don't consider ourself a VC.

00:28:21
We're really considering ourself as the deal flow to the venture

00:28:24
world. And a lot of this entrepreneur

00:28:26
that I've just put in that target addressable market,

00:28:29
actually they don't even know that the VC world exists.

00:28:32
They don't even know how to access it.

00:28:34
When they know it exists, they don't know how to access it and

00:28:36
so. We look at that target

00:28:37
addressable market and we're like OK again 70 to 100

00:28:42
entrepreneurs every year that could potentially benefit from

00:28:46
an actuator program and from precede investment.

00:28:50
And so if you look at that the fact that there is a few well

00:28:55
known big actuators out there that make a few 100 investment a

00:28:59
year like we're not even scratching the surface.

00:29:01
That's an interesting way to like look at it, but the counter

00:29:03
to that is. I mean, I'm gonna make them

00:29:05
number up whereas you've done an analysis.

00:29:07
But like in a vintage year like they're probably like what that

00:29:11
50 or like some that have like some huge exit that justifies

00:29:17
the investment or like how many companies do you think there are

00:29:19
a year that like end up producing this sort of exit that

00:29:24
would justify the model rather? Than so I think the premise of

00:29:29
your question is flowed if you asking me how many.

00:29:33
Are making an exit right now. Yeah, you're probably right.

00:29:35
I mean, I think the number is a little higher, but not by much.

00:29:38
My question back at you is how many should have like why is it

00:29:43
that until not that long ago, most of the high valuation?

00:29:48
I mean actually. So I don't know why I'm saying

00:29:50
not that long ago until today, Why is there a premium in

00:29:53
companies that are in Silicon Valley?

00:29:56
Why like objectively why? Because it's not like the

00:30:00
company that is being created in New York.

00:30:03
Or Boston or Atlanta have less of an addressable market like.

00:30:08
So they have lower exit, lower valuation based on the fact that

00:30:16
they're not based in Silicon Valley and I'm just only talking

00:30:19
about the US now. Let's talk about the rest of the

00:30:22
world, let's talk about Europe where valuation are way behind

00:30:26
where they are in the US Let's talk about Latam and Africa that

00:30:29
the venture world is just discovering.

00:30:32
It's to me what your question points out is the fundamental

00:30:38
problem in the system that we created a system where there's

00:30:42
only a few companies that are going to have a shot at being

00:30:48
given the money, the contact, the support, the valuation.

00:30:51
And by the way, because that universe is so tiny, then you

00:30:54
see crazy valuation that are not justified by any multiple.

00:30:58
And so again, my question back at you is.

00:31:01
What if the valuation on this very tiny pool was going down a

00:31:07
little bit and the money was flowing more freely across more

00:31:11
companies? Because the world would benefit

00:31:14
from having a hell of a lot more companies being supported,

00:31:18
rewarded and invested by venture capital.

00:31:23
Right. I mean what I'm hearing, I think

00:31:24
the limit of my question is it's sort of.

00:31:26
Reflects like a 0 sum world where nothing has been done to

00:31:29
create new companies where it's like ideally you're like

00:31:32
expanding that number by, you know, giving them sort of more

00:31:36
access. But I mean I do think there is

00:31:38
sometimes this dueling world where they're like there's this

00:31:41
elite cadre of founders who like many of them have started

00:31:44
company before. And like I mean a lot of the top

00:31:47
forget like accelerators, but a lot of the top seed funds sort

00:31:50
of can think that way where it's like you got to see them all,

00:31:53
you got to you know, you pick among them but like the list is.

00:31:56
Not so, so long and then that's how you win.

00:32:00
And then I think there's this sort of the opposite view which

00:32:03
you're saying, which is you can sort of create winners.

00:32:05
If anything, Silicon Valley's over invested in itself.

00:32:08
Like there are people from all over the world that could create

00:32:12
great companies. Yeah, I mean those are sort of

00:32:15
we see both investing methods. I mean in terms of, yeah, I

00:32:20
don't know expanding outside of Silicon Valley.

00:32:23
I mean, Europe, like I wrote a lot about and there was a lot of

00:32:26
excitement. I think in this sort of even in

00:32:28
the elitist worlds of venture capital where it's like, oh,

00:32:31
Hoppin and UI Path, you know, we're both so high flying that

00:32:35
everyone was like, oh, we need to do the Silicon Valley

00:32:37
playbook over there and then those companies have come back

00:32:39
to earth. I'm curious like, yeah, I mean I

00:32:43
don't know how do you take stock on sort of the European tech

00:32:47
market there and the appetite? Yeah.

00:32:50
So it's related to a bigger macroeconomic question, which is

00:32:55
valuation to a large extent are supported by the VC environment.

00:33:01
So it's a bit of a chicken and egg situation.

00:33:03
In other words, if, and I know that not everybody is going to

00:33:07
agree with me, but that's fine, they can ping me on social media

00:33:10
and continue that conversation. I think if the VC environment,

00:33:14
if the funding environment in Europe was significantly more

00:33:17
robust than it is. We would be seeing there a

00:33:19
different valuation, but it's not.

00:33:22
I think the US has created and again, we're not going to go

00:33:25
down history lane, but like there is a whole history of

00:33:30
creating the venture capital world the way we know it in the

00:33:34
US, which is significantly better than other solutions that

00:33:39
have been pursued in Europe, let alone in the rest of the world

00:33:43
and so in general. They're in Europe significantly

00:33:48
less VCs with significantly smaller fund.

00:33:52
Europe doesn't have pension fund or very few pension fund at the

00:33:56
way it exists in the US Pension fund have to a large extent

00:33:59
contributed to the allocation of large chunk of money to VC.

00:34:04
And so you combine all of that with the fact that the European

00:34:08
market is still very fragmented both in terms of legislation,

00:34:12
banking system and language. And it makes the market more

00:34:16
difficult for a company to scale in.

00:34:18
And so like you have the perfect combination that makes valuation

00:34:22
lower, objectively lower than in the US.

00:34:26
Changing gear slightly, but I think touching on some of the

00:34:28
same themes like, I mean you wrote Trampled by Unicorn, Big

00:34:32
Tech's Empathy problem and how to fix it several years ago now,

00:34:37
right? Can you give us sort of first

00:34:40
like what you know, a quick snapshot of what your core

00:34:43
argument? Was there.

00:34:44
And then I'd like to just like take stock on if you've seen

00:34:47
anything change. Yeah, so my core argument there

00:34:52
was 2 arguments. The first one was I think tech

00:34:56
companies have forgotten empathy as a key peeler.

00:35:02
And empathy is really understanding the impact the

00:35:05
corporate empathy, not individual empathy.

00:35:07
Corporate empathy is really about understanding the impact

00:35:10
of your decision. On the stakeholders around you,

00:35:13
not just your employees and your users, but just in general like

00:35:18
the world around you. And that's a shortcoming that is

00:35:22
going to keep creating problems over and over again.

00:35:26
So that was the first thesis and I was talking about why is that

00:35:31
and how do we fix that internally?

00:35:32
Like how do we create more corporate empathy, Again, not in

00:35:36
a nonprofit like. Kumbaya around the campfire way,

00:35:42
but more in terms of like, hey, empathy is a way to think about

00:35:45
the impact that you're going to have and how you keep your

00:35:47
business from making mistakes that are going to alienate a

00:35:50
certain number of stakeholders. So that was thesis #1, Thesis

00:35:54
#2, slightly more unpopular, but I'm going to blame it on my

00:35:59
European roots. It was around the idea that the

00:36:02
reason why Western societies have, in my opinion, thrived

00:36:07
over the centuries. Is because we found with

00:36:11
different ways of doing it, different models across the

00:36:14
Atlantic. But we have found a pretty good

00:36:17
balance between entrepreneurial innovation and democratically

00:36:24
elected regulators. And it's not perfect.

00:36:28
Like there's back and forth and the pendulum sometimes swing a

00:36:31
little too far one way and then it swings a little too far the

00:36:34
other way. And again, the US has created an

00:36:36
environment which is. Objectively different from

00:36:39
Europe. But if you take a step back, in

00:36:41
both cases, what you're really seeing is a decently good

00:36:46
balance between the two, where there's enough innovation to

00:36:49
drive things forward. But there's also government that

00:36:52
have been democratically elected for a certain vision of society,

00:36:55
for a certain set of rules, values, whatever you want to

00:36:59
call it, and that are counterbalancing like the

00:37:03
unbridled innovation. Right.

00:37:05
So I started with that and what I talked about in the book is

00:37:08
how tech liminaries and big tech companies in particular push the

00:37:13
pendulum way too far in terms of we don't want any regulation.

00:37:17
We should be able to do whatever we want.

00:37:19
And that's because we're making the world a better place and my

00:37:22
whole. A few chapters in the book were

00:37:25
about that. We're about the fact that the

00:37:27
pendulum went way too far. And I am not.

00:37:30
I'm certainly not advocating for like top down regulation on

00:37:34
everything, but the idea that the industry would self regulate

00:37:38
is not at all justified by 20 centuries of history.

00:37:43
Like there's not a single industry that's self regulated.

00:37:47
Why on earth do we think that the tech industry is going to

00:37:50
regulate itself? So that was the thesis.

00:37:52
It's interesting. I mean, I guess to help bring it

00:37:55
to the current moment for you, in some ways I feel like there

00:37:58
has been this recognition in Congress that they were too slow

00:38:03
on social media and that with AI they need to sort of move much

00:38:07
quicker. I mean, it's yours for the

00:38:10
listener. You're sort of scrunching your

00:38:12
face on that one. I mean, yeah, I'm curious apply

00:38:15
what you wrote to what you think is happening in AI and like,

00:38:18
what? You would like to see or what

00:38:20
you see happening. So let me start with the

00:38:24
positive. I think the positive is that

00:38:27
there has been a recognition that's a true recognition like

00:38:32
it's now really big on the agenda that tech innovation and

00:38:36
tech disruption is here to stay. When well used, it is a

00:38:41
formidable driver of progress and improvement of standards of

00:38:45
living. And so all of that is really

00:38:48
great when not. Run that well, we have some

00:38:51
problems and we probably should be looking at it.

00:38:54
And and that to me is a huge difference than what it was even

00:38:58
5 let's say seven years ago. I remember being at a dinner

00:39:02
table in Silicon Valley and talking about the fact that I

00:39:07
found this idea of self regulation problematic to say

00:39:11
the least. And the people around the table

00:39:13
looking at me like I was a communist.

00:39:15
Yeah, nobody in Silicon Valley wants to hear that.

00:39:18
So I think the positive is that I think the challenge that I

00:39:22
have is the current conversation on AI is one.

00:39:27
I am not sure that every political person involved in

00:39:33
this conversation is really up to speed on the technical

00:39:37
aspects of AI, even at a pretty basic level.

00:39:42
And that terrifies me because there is something even worse

00:39:46
than no legislation. It's legislation based on

00:39:50
something that doesn't exist or that is completely the opposite

00:39:54
of what you think it is, because then that creates additional

00:39:58
negative effects. So I'm quite concerned based on

00:40:03
what I heard so far about the ability of our politicians again

00:40:09
across the Atlantic. I mean, Italy like ban ChatGPT,

00:40:13
right? Like, yeah, there's been some,

00:40:15
that's what. I'm talking about.

00:40:16
Right. I know like that.

00:40:18
I don't know. I definitely.

00:40:21
I used to be more like pro tech regulation more like oh, excited

00:40:26
about Elizabeth Warren. And I mean I'm first of all I

00:40:29
find like Marc Andreessen's recent argument that the people,

00:40:33
the companies that are going to benefit most from AI regulation

00:40:35
are the incumbent big players who can do all sort of the.

00:40:40
Whatever verification protocols. And then some ways, it's just a

00:40:44
barrier to startups and it creates a sort of protectionism.

00:40:48
I'm very sympathetic to that argument that like any

00:40:51
regulation on AI, is gonna end up being pretty hostile to

00:40:56
startups, and startups are the very companies that society

00:41:00
should be cheering for. But it doesn't necessarily have

00:41:03
to be. I think to me, the false choice

00:41:07
that is being put in front of us is like.

00:41:10
Regulation or no, regular, like all in regulation, like let's

00:41:14
create a super agency and let's audit every single algorithm.

00:41:18
I'd be curious to understand how the hell they're planning to do

00:41:20
that. But okay, like let's do either

00:41:22
that or let's do nothing. And I'm like, what about trying

00:41:27
a few things? And it's one of the things that

00:41:29
was very fascinating to me talking to my tech friends over

00:41:34
the years is it is totally acceptable in the tech world.

00:41:39
To make mistakes like this is literally called A/B testing.

00:41:42
Like we test one thing, it works great, it doesn't work, That's

00:41:45
fine, We'll try the next thing. But somehow my tech friends were

00:41:49
expecting the government to get it right from the get go.

00:41:51
Like like the when GDPR came in. And I know it's a very

00:41:55
controversial topic in the US, but when GDPR came out, like, I

00:41:59
can't remember how many conversation I had with people

00:42:01
were like, and this is not perfect and this is not perfect

00:42:04
and this is not perfect. I'm like, OK, yeah, it's not

00:42:07
perfect. But the idea that we want to

00:42:09
figure out how companies are using data and make sure that

00:42:13
there is a modicum of privacy, and again I'm overly simplifying

00:42:16
it, that doesn't seem completely crazy to me.

00:42:19
And so back to your question, I am certainly not advocating all

00:42:24
hands on deck, top down legislation and as I've just

00:42:28
said, like the idea of having some kind of super agency that

00:42:31
would audit every single algorithm like I'm not.

00:42:35
First of all, I don't see how it's working practically.

00:42:38
And then I'm not sure that we have now enough knowledge to

00:42:43
regulate a I in that way. But I don't buy either the idea

00:42:49
that you shouldn't do anything but you should just let

00:42:52
companies do whatever they want. Because we have multiple

00:42:56
examples of companies, tech and non tech, which when left

00:43:01
completely alone with our regulation didn't necessarily

00:43:05
drive humanity to the best output possible.

00:43:08
Yeah. And certainly, I mean, I think,

00:43:09
you know, the beauty of democracy is that regular people

00:43:12
should get to set sort of the rules that they want to live by.

00:43:16
And it's not just sort of these oligarchic type companies.

00:43:20
So sympathetic on some level, but then and there you can sort

00:43:23
of make like a capitalist style argument which I think you're

00:43:26
getting at, which is there are a lot of countries they can

00:43:28
compete with different types of regulation and sort of see which

00:43:32
ones work and create better societies.

00:43:33
And then other countries can sort of learn from what works

00:43:37
and what doesn't. We've talked about the

00:43:38
regulation piece, these sort of, I don't know, voluntary empathy

00:43:42
piece. I mean, anecdotally it feels

00:43:44
like in some ways there's almost been like a turn against or like

00:43:48
you sort of see, you know, with like the all ends of the world.

00:43:51
Sort of a bristling at the idea, you know, almost like a

00:43:54
rebellion from being told to, I don't know, be nicer, I don't

00:43:59
know. I'm curious what your view of

00:44:00
this, you know, Elana and Mark Zuckerberg are.

00:44:03
Want to fight with each other. I know empathy is a broad

00:44:06
concept, so me, but I don't know.

00:44:07
I just sort of a tonal thing in the air.

00:44:10
Yes. So I think it's because there is

00:44:12
a confusion on the definition of empathy.

00:44:14
Yeah, empathy is not sympathy and it's not PD and it's not a

00:44:21
weakness. It keeps saying to people.

00:44:23
And especially when the book came out, it's like you can fire

00:44:26
people with empathy. Like you can fire a lot of

00:44:29
people with empathy. What it means is just that.

00:44:33
You are going to be thinking, really thinking about the impact

00:44:37
that it has and you're going to try to mitigate it as much as

00:44:40
possible. It doesn't change the fact that

00:44:42
you are still going to make that decision and implement it,

00:44:45
because you should still fight for the interest of the

00:44:48
business. Look, I don't know Elon Musk.

00:44:50
I have never met him. So obviously the image that I

00:44:53
have of him comes from his regular tweeting and all the

00:44:57
articles that I could read. So I'm going to caveat that by

00:45:00
saying maybe he's a lovely man. I have no idea.

00:45:03
I think my argument about empathy is could he have done

00:45:07
everything that he's done with just a little more thinking

00:45:13
about how to reduce the impact on people's life that is letting

00:45:18
go on making the communication a little more human, on making

00:45:23
people feel more valuable. I think most people understand

00:45:27
that tough business decision have to be made.

00:45:30
I think it then just become. A lot of question about how are

00:45:34
they being communicated, how are they being treated, what is

00:45:37
being said to them. And so again, I don't know him.

00:45:41
As I say, he's maybe a lovely man in private.

00:45:46
It's just I think too many people confuse and so mean with

00:45:50
sympathy. Yeah, it's just so mean.

00:45:53
It's like, why anyway? I don't know.

00:45:55
Yeah. It's why would you choose?

00:45:57
I mean, you know. Again, I called comment on him

00:46:00
specifically. I don't know, but I think the

00:46:02
conversation I've had over the years was don't confuse empathy

00:46:07
with sympathy and with weakness. I actually believe that an

00:46:12
empathetic person is a stronger person because they can

00:46:17
understand better how people around them are going to react

00:46:21
to what they're doing, what they're saying, the decision

00:46:24
they're making. And as a result of that, they

00:46:26
see around the corner. A way to describe empathy, again

00:46:30
from a corporate perspective, in a more basic term, is empathy

00:46:35
allows you to see around the corner of what's coming.

00:46:38
Who wouldn't want that? And then, yeah, you can go to

00:46:40
war. You can fire people, you can

00:46:42
restructure your entire company, you can cut it into pieces like

00:46:46
it's not. I think there's a confusion on.

00:46:50
The equal. I covered Uber so closely.

00:46:52
And you know Travis Kalanick like.

00:46:54
Just could not seem to really understand what he was doing

00:46:58
that upset people so much it was terrible and apologizing and you

00:47:01
know just those things. I mean ultimately got pushed out

00:47:04
because of at some point misunderstanding sort of your

00:47:08
customers when the public mood is just.

00:47:11
That's exactly what I'm talking about.

00:47:13
I think this is a perfect example.

00:47:15
This is not questioning whether or not you were strategy was

00:47:19
good or bad. I think it's about questioning

00:47:21
whether. More empathy in understanding

00:47:23
the impact of some decisions on the drivers, on local

00:47:28
communities, on employees. Understanding that impact better

00:47:32
in advance would have helped Uber be even more successful

00:47:37
than they are today. You were what, the Chief

00:47:41
Operating Officer at Compass, right?

00:47:43
Yeah. I mean, a company that raised a

00:47:45
ton of money from SoftBank, you probably know the number like.

00:47:49
Now that you're an investor, you know spend so much time on the

00:47:52
operator side like I don't know what do you, how do you make

00:47:55
sense of like the SoftBank strategy?

00:47:58
Are you still close to that world or I'm curious like having

00:48:03
seen sort of the massive amounts of money if you think that era

00:48:07
is ever going to come back or how you would take stock of it?

00:48:11
I mean, history always comes back.

00:48:14
I know also literally comes back.

00:48:16
I mean, he was in the.com. He maybe he'll get to do it

00:48:18
again, you know? Yeah.

00:48:20
I'm old enough to remember the time where everything was about

00:48:24
gross that we went through the phase where I'm talking about

00:48:27
industry wide, not just specifically so big like

00:48:30
industry wide. Then it was all about

00:48:32
profitability, then forget about profitability, let's go back to

00:48:35
top line. So it's cycle.

00:48:37
I wish I could tell you that's it.

00:48:38
That's the moment in history where we're finally.

00:48:40
Going now, we're all responsible, interest rates

00:48:42
responsible. Exactly.

00:48:44
Like valuations are now normal. Like people are going to do

00:48:47
proper due diligence, like the whole thing.

00:48:50
I maybe I'm cynical, but I just think that like, no, like, I

00:48:54
don't know how long it's going to take, but at some point

00:48:56
someone, whether it's South Bank or someone else, is going to

00:48:59
figure out the next thing. That will allow them to convince

00:49:03
LP that they can deploy a lot of money.

00:49:06
I mean we talked about South Bank, it's the same thing with

00:49:08
Tiger like they frankly 1824 months ago they turned the VC

00:49:13
industry upside down by increasing valuation and

00:49:16
changing due diligence timing. And so it's a cycle, it's going

00:49:20
to come, it's a kind of. You talk to Lps like why?

00:49:23
Why Do you have a sense of like why do they let them do these?

00:49:28
I mean some of it I guess is sovereign wealth where it's like

00:49:30
a very. Some of it is.

00:49:34
So again, I can't comment specifically on South Bank and

00:49:37
Tiger because I was not in the room when these conversations

00:49:40
were happening. I think the again, I'm going to

00:49:43
take the positive hat and then I'll put a slightly less

00:49:45
positive hat on it. The positive view on that is the

00:49:49
world woke up pension funds, sovereign funds, family offices,

00:49:54
woke up to the fact that there was this unbelievable source of

00:49:58
innovation. That was working on some of the

00:50:01
biggest problem in the world or sometimes not really

00:50:05
transforming problem. It's still solving day-to-day

00:50:07
challenges for a large chunk of the population and that there

00:50:11
was an opportunity to surf that wave, support this innovation

00:50:16
and make it bigger or faster. And so for me, on the positive

00:50:19
front, there's been an awakening.

00:50:22
To venture capital and to the fact that there was this massive

00:50:26
flow of innovation coming and the opportunity to support them.

00:50:30
I think like everything else, the human race tends to be a

00:50:36
race made of excess. Like we're very excessive

00:50:40
species in every way, by the way, like good and bad.

00:50:45
And so I think like, you know, we.

00:50:47
Like they woke up to ventures. Suddenly it was like, Oh my God,

00:50:50
look at all these billion dollar companies, like I should be on

00:50:53
it. There's a little bit of FOMO.

00:50:55
And then there's the little bit of like, we as again as this PC,

00:50:58
we like to dream. We like to think about how we

00:51:00
going to make the world so much better and so different.

00:51:03
Like we write science fiction books to help us think about how

00:51:06
the world could be different. And so I think that happened.

00:51:10
And then it become almost like a self fulfilling prophecy because

00:51:13
as long as the money kept flowing, you could see this

00:51:16
valuation go up and up and up and up and the only thing that

00:51:19
would stop you was like like if you didn't have any more money

00:51:24
or if you believed that we were about to reach the peak.

00:51:27
But every time someone say, oh we're about to reach the peak,

00:51:30
there was another something happening, another company going

00:51:33
public at a crazy valuation. And so suddenly you would have

00:51:38
LP be like. God damn it, Maybe I missed

00:51:40
that. Like, what do I do to not miss

00:51:42
the next one? And so I think it's just that

00:51:46
dynamic that led us to very. Recitable, enthusiastic species.

00:51:51
Yeah. There was a time where it felt

00:51:54
like nothing could go wrong, that valuation in VC would keep

00:51:58
going up and up and why. And I, some of the conversation

00:52:04
we had with institutional Lps over the last 12 months was

00:52:07
almost like them. Realizing that venture is a

00:52:11
highly volatile investment asset class and one that is certainly

00:52:17
not providing any guarantee in terms of return.

00:52:20
And it was like almost like this ah moment around like oh wait,

00:52:25
actually, yeah, venture can be really volatile.

00:52:28
Like yeah, it can. Risk capital, Well, this was so

00:52:34
great. Thank you so much for coming on

00:52:35
the show. It was a blessed.

00:52:37
My pleasure always. Great.

00:52:39
All right. Thank you.

00:52:40
Thanks, Eric. Thanks so much.

00:52:42
I'm Eric Newcomer. That was my conversation with

00:52:44
Mayel Gavi, CEO of Tech Stars. Shout out to Tommy Herron, our

00:52:49
audio editor, Riley Kinsella, my chief of Staff, Young Chomsky.

00:52:52
For the theme music. You can follow us on YouTube.

00:52:55
We appreciate your reviews on Apple podcast.

00:52:58
And of course, most important, subscribe, Become a pain

00:53:01
subscriber to the substack at newcomer.co.

00:53:05
Thanks so much. Goodbye.

00:53:06
Goodbye. Goodbye.

00:53:07
Goodbye.