Why Now is the Best Time to Buy Public Software Companies
1808 segments
My guest today is Mitchell Green, the
founder of Lead Edge Capital. When I
think about Lead Edge, I sort of think
about this giant money machine that
Mitchell and his two partners have
designed over the last 15 plus years to
make remarkably consistent investment
returns for their clients. They have all
sorts of unique aspects to the machine
that they built, whether that's their
collection of LPS, their eight-point
criteria for how they select companies,
the way they do cold calls, the way they
construct their portfolio. This is just
a totally different way of approaching
markets. They're trying to hit singles
and doubles and deliver very consistent
returns. Mitchell says it's really
important in life to be memorable.
That's just a great simple thing that
you can do. I think you'll find
listening to Mitchell today and him talk
about his entire machine and the firm
that he's built that he himself is
extremely memorable. I hope you enjoy
learning about his business.
So the first time that I heard about
lead edge capital was was the very
famous list of what companies report
starting with cash profits and then if
they don't have cash profits and you go
down this very funny list
>> hierarchy of [ __ ]
>> Yeah. And the the bottom one is the
place that's voted the best place to
work in New York City or something.
>> Absolutely.
>> Where did that list come from? Why did
you put that together? We've always
found that the best way to communicate
with, you know, our audiences, which is
entrepreneurs
and also our investor
letter about a different topic. And I
started my career cold calling companies
and that's the way we source deals. But
when you start your career talking to I
think Brian and I probably spoke to like
10,000 companies
and if you want to know it's a good
company just, you know,
call 10,000 of them. You'll figure out
really quick. It's pretty good pattern
recognition. Until like our head of PR
coms came in a few years ago. We had
actually never posted any of these
things online. We joked that we sent
this letter to some people in the VC
community. one of which is like our
buddy Andre Horowitz and they posted it
online for us. Um we just thought like
think like it's like a very simple way
like in a world where people spout off
total [ __ ] all the time and like you
see everything in DAX this is just like
a good way to distill it.
>> Talk to me about the 10,000 calls. What
did you learn calling that many
companies? You learn to be very
disciplined actually and you learn that
most things are actually just noise and
to figure out like what makes a lead
edge company and then try to ignore
everything else. You learn a lot about
like responsiveness of people and like
more I think more responsive CEOs tend
to be better CEOs. I think another thing
you learn that's really important for
young people, if you tell an
entrepreneur that you're going to
actually do something, then actually do
it. And in a I think that's actually
true of like life. Um there are so many
people that say they'll do they do
things that just like never do them. And
so if you're known as a as a firm and a
or a person that actually does what you
say you're going to do, it goes a long
way. So if you tell an entrepreneur,
hey, I know somebody at
Adobe. do you want an intro because it
looks like it would be helpful for your
business? And he says, and here she
says, I'd love to. Well, then guess
what? Follow up with that. Like, do what
you say you're going to do.
>> Can you describe what seems to me like I
would call it a machine that is Lead
Edge
>> much more than most investment firms
where a lot of great investors will tell
you there's a lot of art, there's a lot
of um, you know, everything's different.
Lead Edge feels to me like unbelievably
well constructed as a machine to produce
returns. Um I'd love you to just before
we go into all the details of the as
component aspects of the machine
describe the machine itself at a high
level before I you know I was
>> um
>> we run this place like it's a software
company um my background was at Bessemer
uh where I worked for somebody that was
extremely disciplined that was building
the code program my other partner Brian
worked at Bessemer we were the first two
cold cars and my other partner Nema
worked at Insight and I think insight
and I know you know Jeff was on recently
is is one of the best like software
investment or invest technology
investment machines on the planet. So
we've like modeled ourselves on that,
you know, to build a good investment
firm that stands the test of time. If
you want to go build the next TA
Associates or General Atlantic or, you
know, Bessemer or Sequoia, you just have
to be like extremely rigorous. And so
our number one KPI that we run this
place by is what is our gross dollar
retention for LPS? We want like 95%
gross dollar retention because the only
way you can get that is one have good
investment returns and great client
services. So how do you through long
periods of time across people that will
come and go generate like world-class
returns is you need to have like a
process and the process for us starts
with you know 18 22 to 24 year olds that
you know talk to about 9,000 companies a
year. You get those 9,000 companies like
how do you figure out which ones to work
on? So then you need this like framework
to guide these 18 people to like well
it's gonna be an interesting company
because in the investment business like
we have one asset it's time and it's
like precious and so like how do you
guide people to say no quick and so we
built this framework that we really took
from coming out of Bessemer and so like
they helped build the Bessemer 5 we took
the Bessemer 5 turned it into lead eight
and it's like drives everything we do
now when we find the company We're then
super creative. We'll buy 10% 80% LPS
out of a 20-y old fund, buy employee
secondary, you know, fund somebody's CV,
we don't care. We'll do anything.
>> If I think about the two sides being the
LPS and the companies that you invest
in, I'll come back to the eight
criteria. The LP story that you have is
also quite distinct and different. Can
you describe that in a lot of detail?
>> Sure. Our LP base is all like
world-class exeacts and entrepreneurs.
Um, I know we do have some big
institutions, but 95% of our capital is
like all these world-class execs and
entrepreneurs and
we use these LPs
throughout the entire investment life
cycle. It literally starts with
sourcing. If a company won't call us
back, we'll email our LPs. Two, let's
say it's like an automotive software
company. We'll have Rick Wagner, the
former CEO of GM, who's a longtime
investor. We will be like, will you send
them like the CEO a note? And if you're
like an automotive software CEO and the
former CEO of General Motors calls you
like they're way more likely to take an
email than like my any knucklehead email
on them or a 22-y old email in them then
for diligence we'll say hey it's like
you're a healthcare software company 25
million of revenue maybe you say like
biotech or pharmaceutical software it's
like oh I see fizer is a customer how
big is it 2 million bucks could be
bigger oh it could be 10 million I'll
meet the former CEO and then I'll call
up Ian Reed and be like hey Ian can you
talk to this company they'd love to talk
to you. By the way, can you like tell us
what you think? And then if it's super
interesting, could you like call could
you [ __ ] call Fizer and like back
channel it? And then you you might say
the entrepreneur, hey, I don't see
Biogen as a customer. Would you want to
meet the former CEO? So you call up
George, you're like, "Hey, George, I
found this company. It meets seven of
our eight criteria." Then like post
investment, we literally send emails to
our LPs. Be like, hey, you know, Toast
is looking for intros to these
restaurants. Do you know anybody? And it
turns out all these people invest in
funds and never get asked for help.
That's how we do it and how we leverage
them. But it's not actually why we did
it. It would be a lot easier to go have
20 giant institutions write you 50 to
$300 million checks versus me spending a
huge amount of my time running around
the world all the time spending time
with these people. Because if you want
95% retention, that's what you need to
do because they're your clients. The
reason we did it is because I knew that
the returns in this sector in the tech
investing sector flow to the top 10% of
funds. Like they they just do it is and
by it probably is the same in real
estate. It probably the same as
industrial buyouts. But like I knew in
the venture world that it definitely
flowed to that. And I had the pleasure
of working for one of these firms best
venture partners. So when I was starting
lead edge I was like why in God's name
is anybody gonna take my money? I could
teach him how to ski, but that isn't
going to be very helpful. But I said,
you know what? Had I been the global
head of HR at Proctor and Gamble and my
partner been the global head of HR at
Microsoft and the other one been the
head of HR at Nike. When I called
workday 80 times at Bessemer and Dave
Duffield by the end was like, I'll hire
you as a salesperson. I'm not taking
your guy's money. Um, if I had been like
a world-class HR exact, he would have
engaged with me because he would have
known that I could have introduced to
those companies. Like I have tons of
other HR exacts. I know these people in
a world that's super crowded and
undifferentiated and I think it's
exponentially the case more today even
than what it was 15 years ago. Um, it
just like differentiates us and we do
what we say we're going to do.
>> How many LPs do you have?
>> Probably like 800. 95% by number are
these executives. Yeah. If you think
about the level of returns versus the
consistency of returns, how much does
one matter versus the other for the ex
for this 95% gross retention?
>> I think consistency is more important on
a per deal basis.
We're trying to make a 2 to 5x in 3 to
seven years. That's like a 25 net IR if
you just actually map it on a curve. Put
it into a fund.
We want to generate you two to 2 and
a/4x nets with 20 net IRS. Some of those
deals aren't going to be 5xes. Some of
them might be 7xs. We try to our
downsides have been very low. We've I
think we've only lost all of our money
like in one deal ever. And that's
because of the like the the kind of
criteria we look for in a company, what
our average company looks like and the
fact that very few of our companies have
any debt on them now. So I try I'm
trying to make a two to two and a/4x net
which is more like a two and a halfx
gross.
However, if something is a really big
investment in the fund and we do not run
funds with like a 100 15 companies in
them. We have we run funds with like 20
investments in them. So if we've made
something a 7 10 12 15% position and
that goes like 8 10 12x that's how you
can 3x net a fund.
>> Yeah. And so because you rarely lose
money, does that mean you also almost
never hit some like giant grand slam?
>> Correct. We're like Cal Ripken doubles
doubles and triples. Uh yeah, we're not
uh we were not Sammy Sosa or like Mark
Magguire. It's all about um hitting
doubles and triples and and if you do
that with very little leverage in the
portfolio, 90% of our companies or 85%
of our companies are like recurring
revenue. So if you invest today and know
what revenues are in July, that's like a
pretty good way to invest. 50 60% of our
companies are like profitable
businesses. Now you you may get it wrong
like you may back the wrong team. You
may overestimate the size of the market,
but I think like 70% of the time we own
the prep. So you may get your downside
1x. Now sometimes you need to like go
cut the recut the deal with the
entrepreneur or the management team. So
you're making slightly less than that.
But if you can avoid zeros like you in
and turn those zeros into like 08 X's
or.1 X's, it massively helps return.
We'll sell like we we will out of
probably a third of our exits have been
secondaries. We will buy secondaries. We
will also sell. We constantly
underwrite. We've been referred to as
traders or like for like hedge fun guys
and we're like no no we're just trying
to actually make money because this
company is about to be a living dead and
you're going to be in this thing for the
next decade.
>> Maybe spend a minute before you go
through the buy criteria talking about
selling more. So what is the process?
>> We have an investment committee. There's
three of us. Myself, Brian, and Eman
been here all since fun one. We have a
disposition committee. Same thing. We
meet. We think a lot of firms do a
really really good job on the buy. Very
very few firms do a very good job on the
sell, like knowing when to sell,
pressuring to sell, and we would we
would tell you that the private equity
funds tend to do a much better job on
the sell than most like venture growth
guys. Um and like hedge funds if you do
invest public equities or long only
funds like you constantly can buy and
sell. The three of us meet you know one
to twice a month and just like walk
through the portfolio and just talk
about it like hey there's a round going
down in this company should we sell like
how can we try to position this company
for a sale over the next 12 months? The
fastest way to get fired at Lead Edge is
have a company and not tell us when
there's a liquidity opportunity or just
like something's about to happen before
it happens. What does the holding period
end up being on average then?
>> I bet our average holds are three and a
half to four years probably.
>> Yeah,
>> we took advantage. Everybody gets all
excited by these by our 2015, 2016,
2017, 2018 returns. Like our 15 and 18
returns look very good, but it's just
multiple expansion and we sold. That's
it. Like if you think you're going to
make a 2x in four years and you make a
4x in two years, it's amazing what it
does to to net IR, right? People forget
the reverse happened in 2021. Nobody's
20 and 21 funds. I think the venture
growth uh ecosystem gets like a bad rap,
but it's going to be every alternative
asset. Their 20 and 21 funds are going
to be awful relative to earlier funds
because you had, you know, people
thought they were going to make, you
know, a 4x in, you know, in in two years
and are instead making a 1.6x in eight
years. And so like that's going to drive
that's going to have huge impacts on the
industry.
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most interesting thing about the skill
of selling and making the transaction
happen? Like presumably it's easiest to
sell in private markets when a lot of
other people are really excited about
buying. Uh you can't just hit sell like
in public markets.
>> Correct.
>> Um yeah, maybe in like a a bad medium
good. Like there's different kinds of
outcomes that you'd be selling into. Are
most of your sales into everyone else is
excited and you're less excited?
>> It can be like everything in between.
Like if a company goes public, it's just
hit a 2 to 5x in 3 to seven years
>> and then sell
>> and then and then like so you're like
the company goes public, you're at like
a 3.3x
in 18 months or 24 months. You're like
that annihilates a 12% or 20% net IR.
It's a great company, but we constantly
are underwriting like what's a forward
net return from here. And we're like,
well, okay, we made a we made like a 3x
and 18 months. That's like an IPO. Um,
in a secondary sale, it's about
underwriting the forward IR in toast,
which is one of our biggest investments,
which we put like 12% of our fund three
into. And we'd always get crap. Our fund
three was like a $290 million fund. And
we put like 36 million bucks into it.
And before the IPO, we had sold 180
million bucks. We think we'd make like
350 to 400 in it total. People like,
"Why are you selling? You don't believe
in us." We're like, "No, no, all these
other knuckleheads like that invested
alongside us." None of them put 12% of
their fund in it. And by the way,
somebody is paying us a price in the
secondary markets that we think, you
know, is just like lunacy. We sold like
in the secondary markets like 40 or 50
bucks in toast. The stock today is like
30 bucks. We think it's cheap, but it's
just like, by the way, we sold like six
years ago. Um, and so it's a constantly
underwriting forward IRRa.
>> Okay, now I get to talk about the eight
buying criteria. Uh, I don't know if you
want to like tick them off or give us
some highlights or
>> Okay, some highlights. Uh, so there's
eight criteria. I get 10 million plus in
revenue.
Why do you have like product market fit?
Are you growing? Because we don't invest
in startups. Are you growing like 25% a
year? We generate returns through
growth. Um, we don't use leverage. you
have 70% plus gross margins. Why?
Because at the end of the day, you trade
on multiples of earnings. Revenue
multiples are just like shorthand math
for like what what it will be even more
multiples or earnings multiples when you
uh you know don't grow that fast.
There's a reason that Facebook you know
gives away like you know electronics in
the in the vending machines and Dell
charges for Cokes. just like one has 80%
gross margins and one has like 15% gross
margins and we think that just drives at
the end of the day earnings. Um are you
recurring? It's like a heck of a lot
easier to invest knowing what revenues
will be today. So I know what they'll be
in July than they are today. Um are you
capital efficient? This metric is
probably kept us out of the most
trouble. It's like our version of return
on equity. I mean I think it's like
Warren Buffett would think we're idiots.
Um, are your revenues today greater than
your historical cash burn? So, what do I
mean by that? Are you your 20 revenue?
Have you burned 80? Like, you know,
every other tech company.
>> Cumulatively. Yeah. Have you burned 80
since inception or have you burned 10
since inception? We're looking for like
this one:1 ratio. In a world where
capital is a commodity, if you can build
a business that's growing nicely while
burning less than your while burning
less than your revenues, you've got a
pretty good business. Look, we don't
invest in startups. If you invest in
startups or $2 million revenue
companies, then obviously it's harder.
Are you profitable at the bottom line?
Do you have any customer concentration?
Like I just don't want to wake up and
find out 40% of my revenues like
disappeared because some customer didn't
decide they didn't want to work with
you. I want to talk about the price
you're willing to pay for companies and
where this like how you would plot
yourself on the so much so much of this
sounds like a private equity strategy
but you mentioned toast and it's not
like it grow toast was 25 million of
revenue growing 150% a year and it was
like we paid like 500 million bucks it
was like 20 times revenue people like
that's crazy it's like not when it went
from like 10 to 25 so we just try to
build like a forward model and you're
like look you could You can pay as high
as price as you want. You just got to be
right on your exit. You got to be right
on your multip. You know, how people got
in a bunch of trouble in 20 in 2020 and
2021. I think how they're going to get
in trouble today and all this AI stuff
is they just assume the exit multiple is
20 to 25 times. That's insanity because
when your exit multiple collapses now,
so you can pay 20 or 25 times revenues
and if you're right like some of our
companies have been, then it's
fantastic. But you can also be wrong
like some of our companies have been and
you look like an idiot and I think
investing in Open AI 800 billion is a
little insane personally but like I
don't know if it goes on to do like a tr
a trillion dollars of earnings. Yeah, I
I was going to be very wrong. I I should
have invested. It's almost like
shorthander. If you're like if this
company grows and doesn't del like 18
months, am I in the money and like can I
make like a decent return for what I'm
paying? And if the answer is like oh am
I even in the money in 18 months or 20
month 24 months? Yeah, you're paying way
too high price.
>> So, so right now there's this seismic
thing. You can look at like the
constellation and the constellation
software stock price or something as
like the perfect visual indicator of
what's been going on, which is
>> like a ski slope.
>> This intense skepticism of the market
that like boring traditional high gross
margin software businesses are worth
like much at all. But I'm curious how
you process this moment where I'm sure a
lot of the companies you're looking at
are software companies that uh have a
lot of the components that make people
fearful of those similar kinds of
companies in public markets.
>> Our belief for right or wrong is that
the competitive advantage of software
company has never been about R&D. We're
not building semiconductor chips. Like
we're not it's we're not building
biotech and pharma companies. This isn't
that to build like chamber of commerce
software. You too could build this. Like
you know my mother couldn't. But like my
brother could no problem. At least an
engineer. Um so could Microsoft. Any of
our companies in our portfolio. If
Microsoft took 500 people and gave them
a month, each one of our companies could
be out of business. But they just don't
care about the chamber of commerce
market. They don't care about the price
optimization market for manufacturing
companies. um they don't care about like
the tax the tax software market for a
very specific niche product. So like the
software companies like are really about
like distribution sales and marketing
customer success client services. So
we believe that it is the incumbent's
game to lose in in software today. Um
there's a reason I'll give you a couple
examples. Workday
has like 98 or 99% gross dollar
retention. It grows like 10 10 15% a
year. Oh, it only goes 10% a year. I'm
sorry. It's like 10 billion of revenue.
Um, it only took like 20 years to get
there and it does like three billion of
free cash flow. Exxon or the hospital
system or um, Waro Pinkis or KKR or
Proctor and Gamble probably spent three
to five years like implementing the
software. If you think they're going to
like start building their own HR
software, you're on your mind. Now the
guey in how you access it is going to be
far different but actually they already
have the customer relationships and the
only reason they built it is because
Dave Delfield and Neil realized 20 years
ago that Oracle and SAP had really
crappy products but they have like
thousands of engineers that are like
trying to build the product much better
and are going to use workday versus like
Mitchell Green's cousin like vibe coding
his way uh to build workday.
At the flip side, why did Koopa get
built? And the reason that it was able
to be built is SAP bought Aribba like
and they just like left it for debt. So
they built this like big business.
They took it public and now it's been
sold to to Bravo. So what I actually
worry about to Bravo or any of these big
private equity funds if they're putting
a bunch of debt on it's not growing that
fast anymore. If they're putting a bunch
of debt on it
and then what they do is they like they
like they brag. They like oh yeah we
drive all our companies to like rule of
50 businesses. Now, do they end up
cutting a bunch of people in R&D and
sales and marketing and product that
they should have that if you were being
run by an entrepreneur with no leverage,
you would have kept and and is now I I
worry that a bunch of these private
equity owned assets that are overlevered
are ripe for disruption versus like
independent software companies that are
that are focused on growth that are
trying to innovate. And I like to remind
people that the um if you look at
e-commerce, everybody in 99 and 2000,
everybody thought every big box retailer
was going out of business. But if you
look at the top 50 largest e-commerce
companies in the United States, you
know, yes, Amazon is number one. You
know who like two through 10 are?
Walmart, Home Depot, Lowe's, Macy's,
Target. I mean, Sax is a crappy company.
Their online business is actually pretty
good. Nean Marcus, same thing. a lot of
the incumbents will win. Now again, you
know, Montgomery Ward,
Kmart, Sears, busted bust for either
like overlevered, didn't innovate. So
like for us, that's what we're
constantly thinking about.
>> Does that mean that right now feels like
an especially opportune time for your
style because entry multiples are lower?
>> I think the best riskadjusted returns
right now are in
public software names. By the way, when
you b, you know, Warren Buffet says,
"Buy when everybody, you know, is
fearful and sell when like everybody's
super excited, people hate software."
You know, when we bought a bunch of our
bite dance stock two years ago when
everybody hated China, Alibaba has
doubled off its lows and doesn't grow
and trades at 15 times earnings.
>> If you think about the uh the CV like
the very specialist type buys that
you'll do. Can you explain an example of
one of those?
>> So, we like to use like the house
analogy. You walk down the street, you
go into apartment building, you're like,
"My apartment needs to have like these
six things. You can go in the front door
and you can lead the primary round um
and put money on the balance sheet or
you can buy the whole business. You can
go in the side door and buy like an
early uh investor or early employee out,
but like maybe that's not available. So,
we'll go through the basement window
with a pickaxe and buy like a
derivative." Because if you run a
business and this can of Pepsi owns 30%
of your business and I go to the glass
that is an investor in the can of
Pepsi's fund and that like is there half
the LPS and I like literally buy that
out and you own 30% and I buy half the
fund. I just bought 15% of your company.
It's the same damn thing. It's just a
derivative. Um now do you have as much
control? No. Do you have as much
insight? No. But like you trade off
price for access. We made a big
investment in uh in Zoom. Um, so we
couldn't go into the front door. The
company didn't need money. We sure as
heck weren't buying the entire business.
Um, there was you couldn't buy
secondary. There was secondary to buy.
You couldn't buy it because Sequoia
would roll for you. They're smart.
They're not dumb. They're like, "Why
would we let these knuckleheads in?"
Like, we'll take the stock and make two
to three times our money. And the
company was one that took a long time to
get funded and like wasn't backed by
Sequoia. They wanted it. It was back for
random Chinese people and Chinese funds.
So, there was it was actually second
year by, but you couldn't because
they're over. So, we're like, "Huh, why
don't we go to this fund that like has
stock and their LPs have been in this
thing for 10 years." Like, maybe their
LPs want to sell and we can do it one of
two ways. Like, we'll just buy your
position in the fund and we'll know
exactly how much we'll know exactly how
much Zoom we have to it. Or why don't
you just create like a new vehicle? Any
LP that wants to sell, we'll step into
their shoes. Well, if you own 2% of Zoom
and half the LPs want to sell and I then
step in those shoes, I now own 1% of
Zoom. And if I say to you, listen, we
get to vote them like we own them, but
you still hold it. So if you if you
sell, you know, if the company gets an
M&A offer and you get to vote, you have
to call us day 181 of the IPO after the
lockup, you got to give us the stock. We
just we just bought um the position in a
world where LPS and GPS are desperate
for liquidity. That part of our business
is absolutely booming. And that part of
our business uh is headed by Tim Beamer,
who's one of my oper one of my partners
who was actually a Notre Dame alum as
well. If I think about the dollars
deployed I don't know last year over the
next year how much of it is direct
capital on a balance sheet secondaries
something creative like what you
>> 70% creative balance sheet
>> 70% is special sets or like secondary
>> yeah and by the way we will evaluate in
an IC a public position a control buyout
a minority deal or a special sit like it
could be you could hit four different
things in one week And literally we just
all has we underwite the same return.
But today the opportunity is in it's
only gonna we are a market draw down
away from it exploding in in value or
like exploding in stuff to do.
>> So the hard part it seems like is
finding a company that has six of the
eight criteria that you can also buy at
a multiple that you're excited about for
the forward return. What percent of
companies meet like of the 9,000 or
whatever meet like all eight criteria?
>> By the way, no correlation how it
performs either. If we do like an eight
criteria deal versus like a five
criteria deal, there's like actually no
correlation to like it was a better
deal.
>> What about if you What about like four
or three?
>> We've never looked because we um so what
we try to do is if you say it must meet
eight criteria, 9,000 companies becomes
90.
>> Okay.
>> To do five or seven deals a year, it
just doesn't work. Um, and so for us,
what we say is it just like must meet
five. That's about a 10% yield. We're
trying to get to like 900 to a set of
companies that we can then like actually
do work on. So you have 900 companies
that meet five or more criteria.
You get to
you do work on about a you do diligence
on about 150 to 175 to do five to seven
deals a year. And you're like, why not
more? I'd love to, but like we're cold
calling entrepreneurs. They're like, oh,
I'm sorry. I want to sell my business
tomorrow. Like, oh, you just happen to
call me on this day. No, the sales
cycles can be a decade. Um, and it's
about staying in touch as entrepreneur
because we're not the only ones calling
them. There's great firms like Summit or
TA or Insight or, you know, Bessemer or
Battery and like great firms. And so,
it's like, well, ask the entrepreneur,
how do they need help? Try to like tease
information out of them. Oh, you sell
into like the consumer space. You want
to meet the former CEO K Pomolive. Um,
and you're doing that to try to like
build a relationship with somebody. So
if five criteria companies don't
outperform eight criteria companies,
doesn't that imply the criteria aren't
predictive? So then why have the
criteria?
>> Because you need to set a framework for
what to focus on and what not to focus
on. That's it. Like it's just getting to
a small predictive necessary. not
predictive, but it's getting us to a
small enough pool to like it's like
knowing your strike zone is like my
partner is a big baseball fan that uses
a baseball analogy like Ted Williams
knew in the hitting zone exactly where
to swing and what is probabilities for
swinging the ball. Like yes, you can hit
a ball 2 in above home plate and it
could be a grand slam and have hit the
ball the farthest you've ever hit it,
but if you do that over an entire
career, your entire career won't be very
long. Um, and so it just enables us to
know like what pitches to swing at. Our
biggest mistakes have honestly been not
swinging at the pitches when they were
in our strike zone. And I think that's
like what we've learned over the last 15
years to get more comfortable and like
when it's in our strike zone, swing at
it.
>> How do you train these young people to
be able to get all this information to
know whether or not it's an eight-point
score or whatever out of an
entrepreneur? Like what is the art of
getting someone on the phone and then
actually getting them to tell you the
information that you need?
>> It is incredible what people will tell
you on the phone. People are like, "Wait
a second, you just like call people and
they talk. People love to talk." Um,
it's investigative journalism with
sales. We tend to hire
people that are like former athletes.
But like getting a C or a D on a test is
not your like biggest failure. dropping
the ball at like the Rose Bowl or like
not making the Olympic team, that's like
failure. And so you're looking for
people that are like insanely
persistent.
People that are really inquisitive
and and then it's just, hey,
Patrick, pretend you're toast. We're
doing work on the restaurant point of
sales system space. I read a bunch of
articles that like sounds like you're
kicking butt. Oh, by the way, I just
talked to like Square and Clover and you
know, set a couple. We'd love to talk to
you on the phone. And oh, by the way,
I'm sure you're getting bombarded by
other people, but by the way, we're
we're different than a lot of firms. A
lot of our capital comes from world
class exacts. Like, oh, by the way, one
of our LPs, the former CEO Wendy's. We'd
be happy to talk to them if you want to
meet these people. Huh? Sure. Love to
chat. By the way, we used to get to cold
call people like when when Brian and I
on email were doing this like literally
cold call people and you like you feel
like the person who calls you at 6 PM,
you know, and you know, 20 years ago,
you like slam the phone done on today.
It's like my you guys get to send emails
to people, give me a break. Uh we
actually try to now encourage some of
the analysts to start calling people.
The biggest issue is like it's hard to
get people cell phone numbers versus
like, you know, work phones.
>> Um
>> and it's just like once you get the
person on the phone, you just have to
show knowledge. That's where, by the
way, AI is incredible. It's like you
give every analyst an associate, you
give them like the power of knowledge
and you can sound super smart and you
won't get everything. It's like, hey, I
saw on LinkedIn you have like 80
employees. So, what do you like 10
million revenue, 15 million revenue? Oh,
I see like your employee cost growing
like 80% a year. What are you growing
like 150%. Not that fast like oh what
like 100%. Yeah, around there. So, it's
like it's like trying numbers
>> if you think about this machine. And so
we've got this very unique LP base. We
do, you know, 9,000 calls, 5 to seven
investments per year.
>> We just raised our seventh fund. It was
three and a half billion.
>> Okay. So three and a half billion dollar
fund. Um two to two and a half%, you
know, net IRA or net netic to your
investors. So that's kind of the
machine.
>> Where do you feel the most tempted to go
tinker on the machine for the next
decade? Like how do you hope the machine
>> improves? continuing to
as the firm gets bigger.
How do you build a culture of teaching
people to still be creative scrappy
hustlers? That's the most important
thing. Like how do we get creative and
do CVS? We were doing CVS and nobody
wanted to do CVS. We didn't know they
were called CVs. We just thought it was
paying somebody a profit share. Um it's
like continuing to innovate on that.
What's really interesting is the
secondary markets now for some of these
names are so liquid. So actually you
almost don't even have to underwrite to
this thing going public. It's like can
it just get big enough with enough
escape velocity where I can then sell
out?
>> If you think about all the investments
you've made the last 5 years or
something. How often are you like
personally excited about the company and
its product? Frankly, this is what
drives me nuts about uh a lot of people
in the venture capital ecosystem is like
they think they're actually like like
changing the world and everybody should
which they are, but they should tell
everybody about it and they're like
doing God's greatest gift to mankind.
Like we don't think that we love helping
entrepreneurs. Like that is actually
what gets me excited and gets us up in
the morning. I think gets everybody up
at Lead Edge is like helping an
entrepreneur try to bend the curve and
like make that customer intro and like
help find that great CFO um or the audit
chair or whatever. We love making
customer intros. Like that's what gets
us the most excited and I and I think we
are still actually just scratching the
surface on how we can leverage our LP.
>> How often do you control the business?
>> We are in a control position about a
third of the time.
>> And when when that's the case, how
different is that?
>> It hopefully should be no different at
all, but there's less knuckleheads
around the table. Um there's less people
around the table. And what's really
interesting is when you have a lot of
different people around the table, you
can have a lot of different competing
interests. And so it's about building
consensus. Um, and you have people that
are in at one cost. Well, that's why all
there's all these 20 and 2021s companies
haven't sold. Like there's these late
stage guys that are like, "Oh, just get
me out. I own the pref. I'll make a 1x
today or I'll make a 1x in a decade."
But we don't go into companies and say
we're replacing the entire management.
This is not what we do. When we invest
in a business and when we exit, it's
something like 75% of the time, the
person who was running the business when
we invest is still involved in the
company. It may not be running it, but
it's like back people who just want to
build awesome businesses and great
companies and like it's like listen, if
I'm not the right CEO, well then make me
the chairman of the board or make me the
chief customer officer or make me the
chief product officer, whatever. that um
that's what's really important.
>> I want to go back to the culture thing.
Yeah. The lead edge culture. I mean,
what have you learned about culture in
the many years now that you've been
doing this and and especially given this
is the thing that you're you want to
keep nurturing?
>> I didn't think I appreciated how much
culture comes from the top. Um and so
like follow-ups, send handwritten thank
you notes. I've sent handwritten thank
you notes to everybody I meet. Almost
everybody I meet like every
entrepreneur, every company. Guess guess
who also does now? The 22-y old analyst.
And by the way, we track it and report
on it. And you know, if you just treat
people the way you want to be treated,
like that just flows. We've built a
culture of like
treat LPS like you yourself want to be
treated. People appreciate that and it
comes from the top. And like the
intellectual honesty comes from my
partner Nema. A lot of the creativity
comes from my partner Brian. Now, of
course, as you get to be 85, 90 people
at a firm, we've built like a real
training program, which is a result of a
lot of work Nean and like our our COO
Suz's done and that team and the
recruiting team. We didn't have like
weekly IC meetings before like three or
four years ago. Why? Because I was the
three of us. We talk every day.
>> Um, and so it's just like building
processes in place.
>> Can you talk about this crazy one-on-one
thing you do with every employee?
>> I got the idea from Tom Barnes at Excel
Kickare. he's built a true machine in
Excel KKKR. Um
I asked him
like what's what's like something I
should do like what do you think
something you do that like really helps
the firm? He's like interview everybody
once a year. So we sit down we start
with like a survey and then you need and
then you sit down with every employee.
>> You personally do. I personally do sit
down with every other partner, every VP,
every associate, the accounting person
on the back end, every receptionist, and
be like, "What do you like about your
job?" And so first, give me everything
you do. Green, red, yellow, green you
love, red you hate. And by the way,
let's figure out what you hate and why.
And if there's things you hate, well,
then let's figure out other people that
may be able to do them or how can we
make your job easier. Okay, that's the
first bucket. Second bucket, if you were
me running lead edge, what would you
change?
Three, what's something we can do to
make your job easier?
What you learn is incredible. You get a
bunch of really good ideas every year.
It actually drives my two partners nuts
because sometimes I'm like, "That's
amazing. Do it." And then like they're
like, "Come on, we need to have build
consensus." I'm like, "No, we don't need
to build consensus on some of these
things."
>> Is there anything else that you do in
the culture that you feel carries that
much freight? being like the good person
is like just not that hard frankly. And
in a world that's insanely competitive,
if like being the nice guy gets you the
call back and being like the helpful
person, um then then do it all day long.
And then it's another really important
thing about running this place is that
like I can't be the bottle. I can't know
every LP. And so like if you're a 25
year old or 23 year old associate here
and you have to go to Seattle next
weekend for a wedding, then I'll pay
your trip if you stay on Monday and go
meet a bunch of LPs. By the way, you're
23 years old. Like 99% of firms on this
planet wouldn't put 23-y olds in front
of LPs. I'm like, if you're smart enough
to work here, you're smart enough to
meet this LP. Like, I don't care. And
people love that. The 23-year-old
associates love it, which helps us get
great people, but then also the LP loves
it, too, because then they'll be like,
"Oh, my son is your age. Like, would you
would you would you mind like talking to
him?" Or, "Hey, you went to Notre Dame?
Oh, my son's like plays lacrosse and is
like thinking of going there. Would you
talk to him?" And be like, "Oh, well,
actually, no, talk to my partner Tim."
Because he like played Notre Dame
lacrosse. You just build really real
relationships with people.
>> If you think about the average month for
you and the major slices of the pie are
time with LPs, time with companies. I'm
so curious. It's actually kind of hard
to guess what maybe there's different
buckets than those three LPS companies.
>> Internals internal.
>> That's right.
>> What What does yours look like?
>> Um and mine's by the way very different
than Brian and Es. And this is by design
and it I mean it es and flows a little
bit with fundraising obviously.
>> I probably spend
60% of my time with LPS.
>> Wow. Now again that could be getting
somebody to help a company though too or
coordinating with the team um of people
with us like hey let's figure out a way
to get into Exxon and then I would say a
third of my 25 30% of my time is
investing related which could be reading
memos helping people win deals that's
frankly how I want to help like if we
lose a deal because I didn't meet the
company like I'm not saying I can help
us win but like we got to at least put
our best foot forward and then probably
15 20% is operational
the operation stuff's come down um
because
uh we hired one of our partners Susie
who lives in Greenwich um used to be an
investment partner a few years ago she
became our COO so that's like my time
neay probably spends 90% of his time
investing 10% of his time on everything
else which is what he should do uh and
kind of like running the IC partner
Brian probably spends 60% of his time
investing and probably
2020 on LPs and operations and it's if
like each the three of us if you were to
meet the three of us it would be very
it's very clear to people that spend
time with Brian Eman and I that we like
play to our strengths and weaknesses.
>> You mentioned Tom Barnes as someone that
you've learned from.
>> Yeah.
>> If you had to like create a Rushmore of
like other investment machines that you
most respect, who is the Rushmore?
>> Insight TA and probably Excel Kat. I
think Devin, Jeff, Triplet, the guys,
uh, Liberman at Insight have just built
like a factory. It's like it's, you
know, how you know what a good software
company is, it's talked to like they
probably talk to 30,000 companies a
year. It's it's like an absolute factory
and you're trying to like it's process
and so I think they're like amazing at
it. Um, TA is the one that like
pioneered cold calling. um in you know
insights obviously stayed true to itself
like you know in 2001 they they're I
would guess Insight's growth rate in
their portfolio between 2001 and like
today is actually pretty similar. TAS
has definitely come down. Uh they're
more private equity like it's just
discipline and process like I I think I
get the sense that TA is very good at
selling too. Um, and then Excel Exc has
built like an incredible value creation
team that I think actually adds a lot of
I think there's a lot of people that
talk about value creation. They don't do
much, but I get the sense that these
guys are um just like very good at um
actually helping companies and trying to
bend the needle.
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What have we missed about what makes the
machine tick that you think is really
important?
>> I would have said that the three of us
who run the machine are all very very
different and we play to our strengths
and I don't and I don't think that
should be like underestimated. Um, and I
think that's what makes the machine like
we literally negotiate carry economics
for the three of us in like 10 minutes.
like we and like there's firms you hear
about that like get into month-long
fights like two-monthl long fights over
Carrie. We all highly respect each other
and like know what we're each really
good at. Uh I think that's the I think
that's honestly and like just a focus on
intellectual honesty that I think a lot
of firms just don't have. If you go to
our investment comm some of our
investment committee meetings especially
out we our investment committee is the
three of us but then we like everybody
everybody that's basically VPN gets to
come but if you sit in the room and and
listen to Brian and Eay and I talk about
a deal you would think the three of us
hate each other or you might think we're
Israeli um because they it was like just
like a joke in Silicon Valley that if
you listen to like Israeli board meeting
from the outside you like these people
hate each other like how do they work no
that's that's just how they talk like uh
and then like right after we have the IC
we're the buddies and so it's like no
it's like let's debate the merits of
this deal.
>> Maybe riff a little bit more on just all
the ways that you're excited and fearful
about AI both in the investment process
at Lead Edge for running lead edge the
business and for the companies that you
invest in.
>> Yeah, I'm the most fearful for what I
don't know and just like AI is going to
change the world and it's going to do it
in ways that nobody can think about just
like the internet did. I mean in 2009
999 2000 we got sat here we wouldn't
have mentioned social media. I mean it's
today it's $3 trillion of value. I'm the
most like fearful whether it comes to
companies
and processes for that. It's like what
don't we know like which is what are we
missing? Um what am I the most excited
about for us? Like AI in the long term
will create the biggest productivity
game of the last you know 7500 years.
Don't know if it'll be like electricity
but like it'll be pretty damn close.
That's really exciting. like people and
but like it's not going to be like like
don't people get too excited about oh
we're going to go like build the next
piece of workday or we're going to go
build like better call center software
this stuff is going to like you're going
to see industries that we're not even
thinking about how to add even thinking
about what's going to like be possible
is going to happen that's like really
exciting it's going to be the age of
entrepreneurism and like people are
going to be able to build awesome
businesses what I worry about whether
it's internally at lead edge or outside
at our portfolio companies is do we have
the right people in place so that we
don't get disrupted and like cuz like
look it's you constantly want you want
to like I I joke you want to hire a
bunch of young people and these young
people but people worried about the
young people aren't going be able to
find jobs it's like the young people are
the ones that's going to figure out AI
more than the 60-year-old or 55-year-old
and so it's do we we actually rank all
we take all over our portfolio companies
and we're saying like okay like what's
your like AI readiness score and then
it's okay this company's like really
high this company's pretty low huh we
should like connect those entrepreneurs
together to figure out what they're
doing.
>> What goes into that score?
>> What's your data look like? Is it
structured in a way that you're going to
be able to leverage AI? Um, are you
iterating like how many new AI products
have you come out with? What's your AI
revenues on new products? You know, have
how much more product releases are you
able to release? It's not did your
engineering come stay flat or go down.
We actually I I for one strongly believe
that if you think in 2020 if your budget
in 2024 for 2026 was to have 150
software engineers, you should still
have 150 software engineers because
those software engineers can be like
exponentially more productive and they
can then create more products that your
sales team can then go sell.
>> Who do you compete with?
>> We would bid against Insight, FTV, JMI,
Battery, Bessemer's late when they do
late when they do like bootstrapish type
stuff. Um, okay. But sometimes we
compete against mech and IVP and like
but you like rocket ship companies in
Silicon Valley are freaking awesome.
Like I was not pay 100 times revenues
for them.
Uh, that's the that's the problem right
now. There's like too much money. Matt
Kohler said it best. It's like they back
these giant internet companies when
distribution was loose and capital was
tight. It's like the reverse happened.
So like capital's everywhere but like
four companies control distribution. So
like good luck going to build a giant
internet company. Um and right now
there's just like too much money chasing
you know at least in Silicon Valley do
few great things. So expand on that like
like decompose and expand on that a
little bit in so I guess the question is
like your view on the state of markets
and technology markets in general
>> overhyped over frothd um
and I believe this AI capex bubble will
end badly
uh in a way I just think people it's
like the telecom bubble all over again
and it will be it will be very
interesting if Apple may have been maybe
look like the really smart one in all
this at the end of the day uh we've seen
what they're I think people are just
going overspend. I think I'm convinced
that people invest in all these AI
companies, all these VCs, like have to
portray the view that software is dying,
is going to be dead because they have to
justify how much money they're going to
spend. Like if you if you start to run
these assumptions on like how much money
is going into these companies and what
that means for how much earnings you
have to drive and what that means for
like how much power you need to
generate. Like it just doesn't where are
the nuclear power plants coming up and
it like just doesn't work. Um but that
presents the opportunity. That's when
you're going to buy it. That's when
you're going to buy these companies. The
counterargument would be in telecom, you
know, it was all dark fiber. In AI, it's
all burning GPUs. And yes, the capex is
crazy, but we it's still we everything
still feels mega under supplied. And I'm
just curious how you think about Yeah.
when the opportunities will present
itself for an investor. I think um look
our fundament my fundamental belief is
that the models will commoditize
and that companies like Google have a
and Facebook and Amazon and Apple have a
competitive cost advantage. Amazon
companies like Amazon and Microsoft and
Google have more data to train a model
than than these new model companies will
ever have. If and then oh by the way uh
if you are all these like Chinese models
or European models a bunch of these
things cost a fraction of the cost to
run and so like and you can run them
locally and especially if your countries
company's outside the US like why would
you pay that amount for open AI tokens
or fantic tokens when you can just run
deepseeek or one of these other 10
models and so like I think we worry the
most about modelization. I have no clue
when this will like stop. It will
probably go longer than people think. In
99 and 2000, people also thought we were
in a bubble. They also think people
think we're in a bubble now and it will
just like stop. Is it one of these
monster IPOs happening that um you know,
and then it just doesn't go like people
think it does? You know, I think this
anthropic round was kind of like an IPO.
We're trying to hit doubles and triples.
A lot of these companies we struggle
with like they're either going to be 200
x's or 100 x's or zeros. Like it's just
that that's a str that's a struggle for
us. What kind of company in the AI like
center of the heat map? I know you're
probably not investing in any of them,
but because of the multiples or
whatever, what kinds of companies are
the most interesting to you? I think
it's like fascinating some of the stuff
that's being done in infrastructure
software like um and actually that like
agents appear to consume more resources
and actually people and so like the some
of these consumptionbased models like
the growth of companies like by dumb
luck we were very early investors in
click house u which a database company
we were early investors in graphana labs
infrastructure company that competes
with like data do data do like 29 like
high 20s 30% a year at scale um like
it's those types of companies I think we
find super interesting are I find them
fascinating. It's I really struggle with
the valuations but like the the growth
rates are like we've never seen and with
with very good economics. You see how
much money a company like Click House
has raised like what they've burned is
like
very little compared to what you might
otherwise think.
>> What do you think is the most surprising
thing about you? like like you have a
good sense of you from how you operate,
persistence, enthusiasm, energy, uh
process.
>> What do you think if I spent 10 hours
with you, I would be most surprised
about?
>> How like so probably how driven I am and
how much I like truly love what I do and
like I just put my like heart and soul
into everything I do. Whether it's like
racing cars, which I race cars
competitively, I was a national ranked
ski racer, or how I run the edge, like I
probably sleep like 5 hours a night,
four hours a night. It's cuz I love what
I do. I absolutely like just I'm
insanely competitive and and I think
that if you spent 10 hours with me,
you'd be like, "Oh my god, this guy is
the most persistent competitive person
we've ever I've ever met."
>> Were you born that way?
>> Yeah, I think I was born that way.
>> Was it enhanced through formative early
experience?
>> Ski racing. Ski skiing growing up as a
kid. Ski racing 100%.
>> Can you make that tangible for us? Like
what was it like?
>> Process like do these things and you'll
get better. do these things on video in
a GS course and constantly analyze video
and do these things the next run and
change this and like you fell get up and
go do it 10 more times. I grew up on a
ski hill that was 500 feet. I mean
Lindsay Vaughn, one of the best skiers
in the world, she grew up skiing on 500
feet buck hill in Minnesota and doing
laps like from 400 p.m. to 10 p.m. at
night. Like just repetitive like
Michaela Shiffron who's one of the best
female skiers in the world like views it
as her time on snow is like limited. So
like when you get off the chairlift like
constantly like everything is a drill
like just constantly be trying to
improve. I think that's at lead edge and
and like what you would find in me. It's
like constantly trying to improve. I
what what would surprised me the most
actually if you had to say like huh you
started the firm 15 20 years ago like I
think I've been able to recruit and
maintain
and motivate and build a really good
team. I would very good to pick really
good partners and that treat other
people really well and that like you
know feeds on itself.
>> Is there anything else from skiing I'm
not a skier that you find visceral and
helpful as an analogy for how to do
things elsewhere other than reps and
practice?
>> When I asked the guy Scott Booth who ran
Eastern, I asked him why he hired me.
He said to me, and this was early08, he
said to me, because when things get
scary, you're going to want to buy. And
I didn't know what he meant because he's
like, you go on the hill at 80 miles an
hour. Like, this isn't scary. Like, this
is like nothing. You're like, you can
make a decision going down the hill at
80 mph and like what to do and what not
to do and how not to fall and fall
whatever. In the fall of the happened, I
was like, this isn't scary. Let's buy
and like it's eventually going to go up.
ski racing
helped me really understand like a very
fine line in risk adjusted and like risk
return behavior. I just think like being
an athlete, whether you play basketball,
whether you play hockey, whether you
play golf, like I think athletes just
have a work ethic and can un like if
you're trying to find it in young people
and like have a drive like there are
athletes that have incredible
athleticism
but also have incredible work ethic like
Michael Jordan. Those are the best of
the best.
Then you have people like Steve Kerr who
are like not very good athletically but
had a work ethic of Michael Jordan like
they could be good but then you have
wasted talent which is like Zan Rodman
of the world where like they were
amazing ath athletes but they like
didn't have a drive and I think the same
can apply to investing. Why did you
choose to start the firm? Because you
were quite young when you did it. And
what how how could you translate that
experience into advice for someone
listening that is thinking about
starting a fund to decide whether or not
they should
>> just go do it. If you want to be an
entrepreneur, I I can't. My partner
Brian is like, "The reason you started a
firm is because nobody was going to like
hire your ass." I've always wanted to be
an entrepreneur and be like really
really successful. It's always driven me
and like I always wanted to be by like
you know I just just was solely focused
on it and you know like if you want to
generate generational wealth or build
something like you need to be an
entrepreneur like yes if we build
Blackstone everybody who's here will
make an insane amount of money because
it was 90 people. One of my partners
Zach is very young I mean he's like 30
years old and he's a partner because he
joined here and he took a bet when the
firm was tiny. I just encourage people
if you want to do it like your own way,
there's no better time than now. What
are you waiting for? Like I actually
think it's easier to leave when you're
27, 25,
30, then when you're 45 and have three
kids. I had I had nothing to lose if it
failed. Like I was going to just go work
eventually. I guess work
>> once you made lots of money. Do you
still care?
>> 100%.
>> Why?
>> Keep score every day.
>> Because of score. This is gorgeous
because like I want to win like like you
know some of like people like Ken
Griffin and Steve Cohen are like mentors
to LPs of ours like those those guys
have built like it's incredible how hard
those people work like now again maybe
these are NF2 people but like or if you
look at some of these like tech
entrepreneurs that have like an Elon
Musk or Alex Karp from Palanteer or Matt
Prince from you know Cloudflare or like
George Curts from Crowdstrike like these
people are incredibly driven like
hardworking people that like live and
breathe what they do and so yeah I mean
people keep
But but I have like it's not work for
me. This is fun. I travel constantly and
like to meet companies, to meet LPs, to
meet entrepreneurs, to like meet
bankers, like people are like your
schedule like tell people my schedule
and they like cry. I'm like oh no that's
it's not work. It's fun.
>> It's pretty amazing what you've built.
Uh very unique model. Incredibly fun how
willing you are to just walk us through
it all. I had so much fun doing this.
When I do these interviews, I ask
everyone the same closing question.
What's the kindest thing that anyone's
ever done for you? Pete Wilmont,
he's passed away, was the former
um CEO of FedEx and he was a Williams
alum. I started a company in college and
he was like the first person that ever
believed me. I was like, 19 years old
and he became an investor with us and
the company completely failed and he
probably when I was trying to get my
first jobs and when he got my job at
Bassimer, he was my reference and he
basically told the person they were
insane if they didn't hire me cuz I was
the most persistent person he ever met.
>> I learned so much today about building
something unique. Thanks so much for
>> Thanks so much for having me on.
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Ask follow-up questions or revisit key timestamps.
Mitchell Green, founder of Lead Edge Capital, discusses the unique investment "machine" he has built over 15 years. The firm differentiates itself through a base of over 800 LPs who are former executives and entrepreneurs used actively for sourcing and diligence. Green details their rigorous eight-point investment criteria, which focuses on capital efficiency, recurring revenue, and consistent returns over high-risk "grand slams." He also explores the firm's creative approach to secondary markets, the importance of a disciplined exit strategy, and how his background in competitive ski racing instilled the persistence and process-oriented mindset necessary to build a successful firm from a young age.
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