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.
Get full access to Newcomer at www.newcomer.co/subscribe
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
00:01:27
stage. And you have to have some
00:01:31
relationship to tech because of the scale that it gives you.
00:01:34
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,
00:02:26
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
00:02:31
wanted to change? I mean it was sort of the reach
00:02:34
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?
00:04:20
Is that 500 Global A? Lot of friendly people.
00:04:22
A lot of friendly people. Just to sort of like quick
00:04:25
facts, like what is the best return so far for like tech
00:04:28
stars? We have some really cool company
00:04:31
that I like very much. So companies like and I don't
00:04:35
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
00:04:44
analysis to governments, banks, and businesses around the globe.
00:04:48
And when things like FTX happen. And it's only the most famous.
00:04:53
But there's been multiple situations where figuring out
00:04:58
what is happening in the blockchain crypto world has been
00:05:02
pretty critical for a lot of institution.
00:05:05
Chin Analysis is usually the company they call.
00:05:07
That's a super high markup. What?
00:05:09
8 billion something? Yeah.
00:05:11
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
00:05:17
I like very much. It's called Remitly.
00:05:20
There are mobile payment service that enable users to make person
00:05:24
to person international money transfer.
00:05:26
So that's the tagline. What they do is that they allow
00:05:29
to a large extent, immigrants from all around the world to
00:05:32
send money in a safe and cheap way to their families and to the
00:05:37
people who need it. And so that's a $6 billion
00:05:41
company. They went through IPO in 2021.
00:05:46
Yeah, because that was the year I joined.
00:05:48
So 2021. And I think there this is a
00:05:51
company with a mission which I think is is amazing.
00:05:54
Can I have a third one that exactly?
00:05:56
Yeah, people. I love specific companies.
00:05:58
So the one that I find fascinating and again we're
00:06:01
talking about billion dollar plus company, we can also talk
00:06:04
about smaller company because with 3600 companies in our
00:06:07
portfolio we got a bunch. But the one that I like a lot
00:06:11
among our billion dollar plus company is a company called Zip
00:06:14
Line. Oh yeah, of course.
00:06:16
And most people, when they know about zip line, they mostly
00:06:20
think you know about about either, if they know what.
00:06:24
Drones in Africa? Right, exactly.
00:06:26
Drones in Africa. And what they do is that they
00:06:29
design and they manufacturers these drones and then they
00:06:32
operate them to deliver vital medical products.
00:06:36
And it's a $3 billion company. They did a successful
00:06:40
fundraising in April of this year.
00:06:43
And again, what they're doing really makes a lot of sense for
00:06:48
the world and at the risk of using a Silicon Valley sentence,
00:06:52
like to make the world a better place.
00:06:54
But the reason why it matters so much is because I deeply believe
00:06:58
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.
00:07:09
Not always, but it does help. So that's my $3 billion plus
00:07:15
favorite company, but we got a quite a few others so I could
00:07:18
keep going. Then are there standard terms
00:07:22
for tech stars? Like if I'm an entrepreneur,
00:07:24
like, yeah, what should I expect from you all in terms of money
00:07:28
and ownership? Yeah, no, absolutely.
00:07:30
So we have standard terms in their public.
00:07:32
So it's $20 + 100 dollar convertible notes.
00:07:37
And depending on the conversion of the notes, we end up on
00:07:41
average with about 8% of the capital in the company.
00:07:45
And basically what we provide to founders is the capital
00:07:49
obviously, but there is what we call the textures formula.
00:07:52
So it's the 120 K that I've just mentioned.
00:07:56
It's the program themselves. Our actuator programs are very
00:08:00
intense. It's small class, very small
00:08:02
class. It's 10 to 15 companies.
00:08:05
It's very hands on. You have the texters team this
00:08:09
or Texters employee dedicated to that particular program.
00:08:14
These tend to be people who are former entrepreneurs themselves
00:08:18
and during this program it's like.
00:08:21
Six days a week, it's very intense.
00:08:23
I mean cannot have a second job or do a bunch of other stuff on
00:08:26
the side. Like it's full time and it's
00:08:28
it's not rare for an entrepreneur at the end of the
00:08:31
program to be like, hey, I'd love to take a holiday.
00:08:33
It's like that you called, you need to go and phone raise now.
00:08:36
So there's the program itself, then there's all the services
00:08:39
afterwards, because once you graduate from the program, we
00:08:43
have a series of services from helping you to fundraise to
00:08:47
connecting you with more mentors, more alumni.
00:08:50
We have a. Large group of corporate
00:08:52
partners, companies like Audi or ABN, Amro or JP Morgan or Ecolab
00:09:00
and eBay. We've just announced A
00:09:01
partnership with eBay. And so connecting them with this
00:09:04
corporate partner does matter. And then last but not least, as
00:09:08
I say, we have a huge network And so even after you graduate
00:09:11
from the program, you can always leverage that network, which is
00:09:15
truly global because we've been running.
00:09:18
Tax rate of programs all around the world and we invested in 60
00:09:21
plus countries. Like recently I was talking to a
00:09:24
portfolio company of ours who is trying to figure out how to
00:09:28
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
00:12:07
like, OK, it was a brutal period.
00:12:09
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
00:12:18
everybody else is at least starting to rebound.
00:12:20
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.
00:12:39
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
00:13:01
effect. The first one is most
00:13:03
institutional Lp's are overexposed to VC because the VC
00:13:07
haven't taken the right down that the public market have.
00:13:10
So there's like a denominator effect.
00:13:12
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.
