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Conversations with Tyler is produced
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by the Mercatus Center at George Mason
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University, bridging the gap
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between academic ideas and real-world problems.
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Learn more at mercatus.org. For
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a full transcript of every
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conversation, enhanced with helpful links,
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visit conversationswithtyler.com. Hello
0:27
everyone and welcome back to Conversations
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with Tyler. Today I'm chatting
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with Toby Lutke, who is the
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co-founder and CEO of Shopify, the
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famous Canadian e-commerce firm. Toby, welcome.
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So good to be here. So
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good to see you, Tyler. I
0:42
have so many questions. Do you still
0:44
do stand-up meetings? Whenever
0:46
we have hack days, I do them. I
0:49
know what I feel they need to make
0:51
a comeback, like the Friday afternoon stand-up meeting
0:53
is just one of the greatest accelerants for
0:55
businesses. I'm highly encouraging everyone to do them.
0:57
But digital version doesn't work so well, does
0:59
it? It's some slack bot or
1:01
so telling everyone to stand up and type
1:03
something. It just doesn't do the same thing.
1:06
It's one of the problems with remote companies.
1:08
And it may be harder to monitor. What
1:10
other systems do you have for getting good
1:12
information out of meetings? Okay, so I grew
1:14
up as an outsider, as in kind of
1:16
have an outsider mindset, which is kind of
1:18
hard to argue from first principles at this
1:20
point. But in a small town that was
1:22
super not interested in computing in Germany. So
1:24
I learned all sorts of skills for observing
1:26
people doing interesting things from afar. My
1:29
lifeline back in those days was getting a copy
1:31
of the back archives of the Linux kernel
1:34
mailing list and so on. This is how I learned C
1:36
programming. I grew up as an observer
1:38
on information. That's what I do just for
1:40
fun a lot. Also that means I grew
1:42
up on the internet, which is good and
1:44
bad. So one of my ways to get
1:46
a lot of out of meetings often involves
1:49
saying high conviction, incorrect things and just waiting
1:51
to figure out like seeing everyone wanting to
1:53
correct me. It's a more efficient way. So
1:55
it's like Twitter. If you want to learn
1:57
something, you just say something wrong. Say something wrong on the internet.
1:59
Yes. Books in real life too. It's not
2:01
people's favorite thing I do, but we
2:04
have a wiki inside, and there's a blueprint
2:06
for me. And it says that I do
2:08
this. So some people have reasonable warning these
2:11
days. The systems for making meetings better, should
2:13
we also use them in our social lives?
2:17
Family dinners. You
2:19
get together with friends. I don't
2:21
know. I think haunting what makes companies work
2:23
too far into private lives can also backfire.
2:25
Although, I did. With my
2:28
kids, I always booked one-on-ones. They call them dinner appointments. And
2:30
I tell them, I'm going to treat you as an adult.
2:32
And we're going to have an outcomeization until you say you're
2:34
a kid again. And I'm going to answer every one of
2:36
your questions to the best of my abilities. And they
2:39
choose some restaurant, we go there. And that's what we've
2:41
done for a while. And of course, that's cell phones
2:43
down. I think that's an important thing to do. What
2:45
we do with meetings is like, inside
2:48
of a company, we do a bunch of
2:50
things. We periodically delete all meetings, recurring meetings,
2:52
because it seems very hard for people to
2:55
subtract. It's very easy to add. That only
2:57
leads one way. So if you have ceremonies
2:59
like this, I
3:01
would be interesting what would happen if everyone would have
3:04
to zero-sum their follow list. Yeah,
3:06
zero-budget their follow list. I
3:09
think that would significantly change people's experience with
3:11
social media. I wonder if that's a good
3:13
idea. But also with your
3:15
friendships, it's striking to me when I'm
3:17
in Italy, I very often see what
3:19
I call street conferences. That is, people
3:21
talking to each other often heatedly, and
3:23
they're standing. When I'm in Germany, people
3:25
are talking to each other heatedly. They
3:27
tend to be sitting. You have a
3:29
similar impression? What
3:32
a fascinating observation. The idea, amtisch, it's something
3:34
very German about it. You can pound your
3:36
fist on the table. It's a stamtisch, really.
3:40
I think in both instances, people do
3:42
something, which I think has a lot
3:44
of relevance to the real-life versus social
3:46
media conundrum that people are wrestling with,
3:48
which is that I think there's a
3:51
significant human need, unacknowledged, for
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venting. I think venting is
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one of those extremely
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important outlets that. It's
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an original safe space in a way where at
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some point people say, okay, well, you're clearly off.
4:05
At least people say this to me. I
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can go pretty far in venting. Germans
4:12
can be going very far. Stereotypes
4:14
are funny because they often are too.
4:16
Venting catastrophizing these kind of things and
4:18
then having your friends reel you in.
4:20
But the issue I think we've seen
4:22
over, especially the beginning of this decade,
4:24
is as people ported their venting online
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and then got their one take, retreated
4:28
forever because it just kept it with
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imagination. I feel people misunderstood what was
4:32
actually going on for a little bit
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and I hope everyone has acclimatized to
4:37
this reality now. How do
4:39
we create safe outlets for venting in
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companies or institutions? What is it that one
4:43
does? Because you don't want it
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to turn into negative contagion, right? I
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actually think even just talking about venting being a
4:51
thing that's actually good and prefixing
4:53
then someone just wants to actually just say,
4:55
get a bunch of things, like field test
4:57
some takes is a good idea. I
5:00
think that can disable the power of
5:02
it spiraling everyone right after. I think
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that's useful. I
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don't know. I
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didn't go to it because it wasn't my neck of a word. I've
5:11
seen parties organized or evenings organized now where
5:13
everyone gets a note with an outrageous position
5:15
that they are supposed to represent for the
5:18
rest of the evening and then they're supposed
5:20
to tear it up and toss it away
5:22
just to allow people to have plausible reliability
5:25
of whatever they want to talk about because
5:27
they can just fall on, oh, I was
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told to represent this. I
5:31
think that seems like, I don't
5:34
know if it's a good idea, but I
5:36
love that someone is trying this because that
5:38
seems like social license to actually talk about
5:40
stuff that otherwise can't be talked about and
5:42
seeing where it leads. Often
5:44
it leads to exactly the wrong place and then
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you get that out of your system and you
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don't need to share this as a tweet afterwards.
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Are German meetings different? Yes.
5:55
How? So, I'm German, I grew up
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for 20 years in Germany, I then moved to Canada.
6:00
I'm from Koblenz, right? I celebrated 2,000
6:02
years when I was a teenager there. Julius
6:04
Caesar might have come through, and that was
6:06
probably the most exciting thing that ever happened
6:09
there. I think it goes back into
6:11
the stereotypes culture. I'm German. I started a
6:13
company with another German both in Canada for
6:15
Americans. So like, Shopify is sort of
6:17
interesting in the year of different cultures. Well,
6:19
I mean, straight off the bat, it's
6:22
Germans just are
6:25
blunt. Like, there's just
6:28
no shit-centric configuration that
6:30
needs to be constructed to say
6:32
if something is bad. I think
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Germans have a more innately
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higher quality bar and less
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tolerance for underperformance on that quality
6:41
bar. It's like products are either
6:43
like below it or,
6:45
you know, good, great work class above
6:48
it. But like below that, nothing
6:50
else registers as anything of value, which is totally different
6:52
in North America. And I think that's good and bad
6:54
that comes from this. I think sort of a cultural
6:57
appreciation for good products, craftsmanship done
6:59
right and so on is something,
7:01
you know, like that's more associated
7:03
with Europe. But the
7:05
quick iteration, be embarrassed by
7:07
first version and then build from there is something
7:09
that, you know, North America does better. And
7:12
so it's interesting. I've seen this
7:14
in meetings where people fell
7:16
on cultural lines of, you know, is this
7:18
should we ship this? Should we not ship
7:20
this? Is it valuable to build this way?
7:23
Or should we, you know, spend a couple
7:25
of like spent months and months
7:27
and months trying to figure out exactly what to build
7:29
and then build that and try to get it as
7:31
close and perfect as possible? Or should we just like
7:33
it very, very quickly? So yes, they go differently.
7:36
Are Canadians different in meetings
7:38
than US Americans?
7:40
Yeah, yes, that's true.
7:43
It's more on the side of American
7:45
on definitely on a minimum quality bar.
7:48
I think Canadians are often more about long
7:50
term like just like like I've seen Canadians
7:53
more often think about what's the next step after
7:55
this step, but also just lower ambition. That's probably
7:57
not the most popular thing to say around here.
8:00
but Canada has sometimes,
8:02
Canada's problem often culturally is
8:04
a go for bronze mentality,
8:06
which apparently is not uncommon
8:08
for smaller countries attached to
8:11
significantly more cultural or just bigger countries.
8:13
I found it's very easy to work
8:15
around, because I think a lot of
8:17
our success has been due to just
8:20
me and my co-founder basically allowing everyone
8:22
to go for work class. And
8:24
everyone's like, oh, OK, well, if we are allowed
8:26
to do this, then let's go. And I think
8:29
that makes a big difference. But ratcheting up ambition
8:31
for a project is something that one has to
8:33
do in a company like in Canada. But
8:36
is there something scarce that is
8:38
needed to inject that into Canada
8:40
and Canadians? Or is it simply
8:42
a matter of someone showing up and doing it, and
8:44
then it just all falls out and happens? So I
8:47
don't know. Inasmuch as Shopify may be seen as something
8:49
that succeeded, that alone didn't do it. It would have
8:51
been very, very nice if that would happen. Now,
8:54
there's another chord a founder's coming through, like some
8:57
of them have been part of Shopify or come
8:59
back from a valley.
9:01
There's some great companies in Agri, like Neo,
9:03
that are more ambitious. But I think it's
9:05
a decision. I think it's a
9:07
bit of a decision. The
9:10
time it worked perfectly was when Canada was
9:13
hosting the Winter Olympics, which is now a
9:15
little bit of ancient history. But there was
9:17
actually a program, Cara White, that's called Own
9:19
the Podium, which, because that
9:21
makes sense. It's home. We
9:24
have more winter than most times, so therefore, let's
9:26
do well. And then they did. By
9:29
far the best performance of the Canada Olympic
9:31
team of all times. And
9:33
I do wonder if it's actually, I
9:36
think to systematize it and make it
9:39
stick, changing a culture is
9:41
very, very difficult. But instances of
9:43
just giving everyone permission
9:45
to go for it have also
9:48
been super successful. Why
9:50
were you miserable in German school? I
9:54
think because German school at that time
9:57
was in love with
9:59
Syria. Realizing out answers and trying to
10:01
fill you up with as many answers as
10:03
possible and hope that you would be able
10:05
to apply them to problems you encounter later.
10:07
I don't know if there's a good
10:10
theory for that being a sensible
10:12
approach that would stand up to
10:14
reason. It certainly didn't work for me.
10:17
I kind of am literally upset. I need to
10:20
have every problem before I can learn
10:22
the answer to it. That was in
10:24
stark contrast. What was being taught in
10:26
the 90s and so in doing this
10:28
times was in stark contrast with what
10:30
was interesting for working with
10:32
computers. That was really just the most fun thing
10:34
for me to do during this time. It seemed
10:36
very valuable even then. This
10:39
probably sounds too abstract. Latin
10:42
as first extra language is just not highly
10:44
utilitarian. That is not the... knowing Latin is
10:46
very rarely the correct answer to questions you
10:48
might encounter later in life. I'm not saying
10:50
it's not valuable in some way, but maybe
10:52
like start with English. That would be a
10:54
good start. But there's plenty
10:56
of technical talent in Germany
10:58
and plenty of young people speak English
11:00
quite well. Why aren't there
11:03
more German tech giants? I
11:07
mean the
11:10
hot tech here on this is like
11:12
there are. They're just they're called Shopify
11:14
and Pantier and others. But in
11:16
Germany, Germany is not a tiny nation. The EU
11:19
is of course a large market. Enough
11:21
of you speak English to have a common language.
11:25
I would like I would love to know. Honestly, I
11:27
think about this a lot, but I don't know if
11:29
I have the best person to analyze it. Because
11:33
it's like what I'm
11:35
hearing and it makes sense. It's just
11:37
that tech is
11:40
something that Americans do from perspective of the
11:42
terms. And it's like it's it's I think
11:44
I really don't think the general
11:46
population is believes that is truly like
11:49
tech is adding a lot
11:51
to life. This may be a reflection of
11:53
areas I go to visit again. I mostly
11:55
visit family and friends in smaller like not
11:58
the tech centers of Germany having these
12:00
conversations, there is a very much
12:02
a pessimism about the future that
12:04
I think means you cannot
12:06
build tech companies because you kind of have to be
12:09
optimistic about the future to like otherwise, why
12:11
would you want to contribute to
12:13
progress and making it come to
12:15
be faster? So I think
12:18
that's one thing. I think
12:20
it's very hard to hire staff. Like
12:22
in North America, I found that people
12:24
take big chances. If they believe and
12:26
have conviction in a company doing something,
12:29
they would leave an excellent
12:31
career to give it a go. And it just
12:33
like also seems to not be true in Germany.
12:35
So like access to excellent talent is
12:38
just simply harder by some men
12:40
making culturally decisions differently, partly because I think
12:43
startups are a low status pursuit from the
12:45
best I can tell. Let's
12:47
say we compare Germany to the
12:49
Netherlands, which is culturally pretty similar,
12:51
very close to Koblenz. They
12:53
have ASML, Adyen, Netherlands
12:56
is a smaller country. Why
12:59
have they done relatively better? Or you could
13:01
cite Sweden, again, culturally not so distant from
13:03
Germany. You're asking very good questions that I
13:05
much rather would ask you, you know? I
13:09
don't know. I wish I know. I
13:11
spent, I started a small company in
13:14
Germany, didn't do anything. So it's not like people
13:16
didn't do this. I came to Canada again this
13:18
time it worked. And then I
13:20
was headstone for a very long time building my
13:22
thing because it just like was consuming. So like
13:24
I didn't pay too much attention to you. I
13:27
wasn't even very deliberate about where I started a company. I
13:30
started in Ottawa and because that's me and my
13:32
wife were doing the time she was studying there.
13:35
And then we could find great talent there
13:37
that was overlooked,
13:39
it seemed, and gave everyone projects
13:42
to be ambitious with and it worked. And you know,
13:44
I think that if you create in
13:46
a geography a consensus that your company
13:48
that really, really is worth working for
13:50
because it's interesting work, great
13:52
work and might actually lead to something, then
13:55
you can build it. And I think this is
13:57
something that I just, I don't quite understand why
13:59
this is not possible to do in so
14:02
many places in Germany. Because again, Germany
14:04
does have this wonderful appreciation
14:06
of craftsmanship, which I think is
14:08
actually underrepresented in software. I think
14:10
it's only recently, usually by Europeans,
14:12
being brought up. Patrick Hollisens talks
14:14
about it more and more, and
14:16
certainly I do too. Making
14:19
software is a craft. I think
14:21
in this way, Germany, Czech Republic,
14:23
other places, Poland, are extremely enlightened
14:25
in making this part of
14:27
an apprenticeship system. And I apprenticed as a
14:29
computer programmer, and thought it was exactly the
14:31
right way to learn these things. That means
14:33
there's, I believe, a
14:35
lot of talent that then makes decisions other
14:37
than putting it together to build ambitious startups.
14:40
Something needs to be uncorked by the people
14:42
who have more insight than I have. I
14:44
think part of a hypothesis is that the
14:47
Netherlands and also Sweden are
14:49
somewhat happier countries than Germany.
14:51
People smile more, at least superficially,
14:53
the more optimistic, the more- I
14:56
think it's optimism, yeah. It's
14:58
striking to me that Germans, contrary to stereotype, I
15:00
think they have a quite good sense of humor.
15:03
But a lot of it is irony or somewhat black, and
15:07
maybe that's bad for tech. And
15:09
I wonder, people in the Bay Area, do they
15:11
have a great sense of humor? I'm not sure
15:13
they do. Maybe there's some correlations
15:15
across those variables. I think they actually banned
15:17
humor for a little while from the Bay
15:19
Area. I think it might make a comeback
15:21
now. It seems like an easy
15:23
out, but it's actually potentially- The
15:25
optimism angle is a lot bearing for this. You've got
15:28
to believe that the future is going to be better
15:30
than today to want to make the future come sooner,
15:33
which is in your tiny, tiny, tiny little way. I'm
15:35
not talking about every company's changing the world. If
15:38
you want it to work, it's causing progress,
15:40
both add
15:42
to the vector of progress, but also maybe
15:45
just change some trajectory and some space a
15:47
little bit. I think if Shopify wouldn't have
15:49
happened something, this might
15:51
be a highly distributed, many, many pieces of
15:53
software or something else would be there.
15:55
It would not look like Shopify. The
15:57
world of computing is extremely powerful.
16:00
I mean, just like the other part of the world.
16:02
So you want to be able to add something. So
16:06
this is also why ignorance is usually useful, because
16:08
you should be ignorant to the low odds in
16:11
the beginning. I think one of the reasons why
16:13
at least some founders often are young,
16:15
these kind of things are
16:17
important. Another aspect of the European
16:20
Union, it's just like people
16:22
also study very long. I know this
16:24
has gotten sort of updated in the time since I was there, but
16:26
man, in my trips
16:29
home, I had a lot of 32-year-old
16:31
student friends. And that's just like, cool.
16:34
There's a significant amount of Nobel Prizes awarded to
16:36
people for their work in their 20s. And
16:39
we should just have a clear cultural
16:41
understanding that was used for years to
16:43
be out and building things. And
16:45
I think it's nothing single causal. And I
16:47
think there's a lot of contributing facts. I
16:51
would have trouble, I think, weighting them. But like,
16:54
optimism is a one, lack of optimism
16:56
is a one I would put on the top
16:58
of the list. What is
17:00
a German language word that you still
17:02
use when you think, because there's no
17:04
close English language equivalent? I
17:08
don't have... Heimwe,
17:11
right? That's a possible contender.
17:14
Heimwe. Seinzuch. Like, for Schlimbessung is
17:16
such a good word. Okay. And
17:19
the reason for this is by trying to improve something, you
17:21
made it worse. And it's
17:23
like, I mean, again, maybe it's also like
17:25
born out of pessimism about the future. But
17:27
like, it's just so wonderful because you see
17:29
it often. You know, some, you know, Chesterton's
17:31
fans, people don't often know what
17:33
parts of world, large system are important
17:36
parts that have a lot of cultural
17:38
or technical understanding coded in them. And
17:40
which ones are just there because we
17:42
were in a hurry building the system.
17:44
And sometimes you find out which is
17:47
which very quickly afterwards. A
17:49
vote is useful in these kind of
17:51
situations. That is a good word. How
17:53
about, ausseinandersetung? The process of
17:55
coming to terms with something rather
17:58
than just putting it out there. But they are. beautiful.
18:00
I mean, even gestalt is a word that isn't,
18:02
I mean, that might actually have been integrated now
18:04
in English, but like, it has no equivalent, like,
18:07
of that. But the reverse is also interesting. You
18:09
know, entitlement is not a word
18:11
that Germans have, right? Like, which I
18:13
find really, really interesting. I make, I
18:16
sometimes in Shopify have to explain to people when
18:18
I say bandons, like, hey, gratitude and entitlement are
18:21
two sides of the spectrum. Like,
18:23
it's your choice where you are here after
18:25
you have a pleasant experience, or maybe
18:27
with some downsides along the way. Very
18:30
important conversation to have with interns sometimes, if I
18:32
don't know, provided food is cold or something like
18:34
this. I get in these situations, I sit down,
18:36
okay, well, I'm doing this in German now, because
18:38
this is the moment where I have to roll
18:40
out this thing. And then I'm just like struggling,
18:42
because there's no term. And I'm like,
18:45
that's an interesting fact that we don't have a
18:47
word for this. So this happens as well. Now, of
18:49
course, someone's going to send me like
18:52
a string like this, which actually perfectly represents
18:54
it and does it better. But anyway,
18:56
nothing I could easily recall. Do you
18:59
still read books in German? Occasionally,
19:01
I have like, I must read
19:03
one book in German
19:05
a year as a sort of self policy,
19:08
which I have violated last
19:10
year, which I was not super happy
19:12
about. But like, one thing I find
19:14
disappointing is then, you know, like,
19:17
obviously, I take the opportunities when I want to
19:19
go to something that's originally written
19:21
in German that I kind of try
19:23
to read, read this in a, in
19:25
original. So like Wittgenstein's, Trakatus is an
19:27
example of this. It's like the
19:29
English translation is so much better,
19:32
because the translator asked for so many clarifications
19:34
by Wittgenstein that it just ends up being
19:36
like readable. So I found a book, which
19:38
was, was actually beautifully said, I think the
19:40
MIT published it of like, the original German,
19:43
the English translation and a translation back to
19:45
German from the English translation, all
19:47
in three columns. And that was perfect. So sometimes
19:50
the English translations also just
19:53
often get updated again, like for Kant or
19:55
something like this. And I do I'm
19:57
actually a fan of rewriting
19:59
books. like every, I
20:02
don't know, 25, 50 years for the next two
20:04
generations down the line because it's, they just
20:06
get hard to access. So often
20:08
you get that by reading the English translation. So
20:10
I'm trying to, I feel like I lose opportunities
20:12
to do this. In
20:15
your opinion, where exactly is the
20:17
dividing line between North Germany and
20:19
South Germany? So
20:21
people in Freiburg, they'll say like, oh, it's
20:23
Mannheim, but that's insane, right? Where
20:27
is it for you? You know, you asked me to poke
20:30
Horn's Nest here, which I, like,
20:32
I'm going to have too many unhappy people,
20:35
but actually committing at all to this question.
20:37
So I'm going to take a pass. I
20:40
would say Limburg is still South Germany because
20:42
historically it's been Catholic, but somewhere
20:45
not too far north of Limburg,
20:48
North Germany would start. It's very, it's very hard
20:50
to draw a straight line, though. You end up
20:52
with a very, very, very jagged line. I think
20:54
if you, if you're trying to do the best
20:56
possible job there, what's happened in Germany for a
20:58
long time, like to cause culture to be, to
21:00
be, to be classified to wherever it is now.
21:04
Now, Canada, in the data I see
21:06
right now, Canada seems to be having
21:09
a per capita GDP recession. And
21:11
I'm not sure how to interpret that. The
21:13
US has been growing at a decent clip.
21:16
Europe, more or less steady, growing at
21:18
a very slow pace. Why in per
21:21
capita terms does Canada seem to be
21:23
moving backwards? Is that a composition effect?
21:25
Or how do you read that? Yeah.
21:28
I mean, this bores me a great
21:30
deal. I mean, okay. So comparing to the
21:32
United States is a bad
21:35
idea in general. I mean, actually it's the
21:37
best possible idea if you're going for optimism,
21:39
but it's not the best idea if you
21:41
are looking for staying sane, right? Like America,
21:43
like, like America
21:45
is exceptional. It's an unbelievable economic might.
21:48
It's an unbelievable country in so many
21:50
ways. You hear in every country, well,
21:52
if you compare to United States in
21:54
this one thing, things are bad. I'm
21:57
like, well, I mean, I'm not I
22:00
mean, I think the comparison of Germany to Netherlands
22:02
is a lot, makes a lot more sense. I
22:04
think that's where you can make real, you know,
22:06
figure out what might be actionable. America is just
22:08
like really, really, really, really different. So first of
22:10
all that, every once in a while,
22:12
you know, there's an economy that really can hang with
22:14
America. I think 2000 years of 1455,
22:17
like it was looking really, really well. I
22:19
think what happened there, again,
22:21
nothing has a single, singularly causal,
22:24
but like it's, it's
22:26
the productivity numbers are just really low. And
22:29
I think the employment
22:31
in the public sector, having grown
22:33
the degree it has, it's just
22:35
like, again, I don't
22:37
know if it's, if it's
22:39
causally related or correlation with the same thing,
22:41
but like it's, it just
22:44
is pretty clear to me that if the
22:46
ratio of referees to, to, to, to builders
22:48
is all critics to builders is going out
22:50
of work that like things grind
22:52
to a halt. We
22:54
saw this even Shopify adoption, like it's,
22:56
it just took a lot longer for
22:59
Canada to, to, to want digital products.
23:01
And Shopify is always selling and
23:03
finding its best customers in
23:05
the United States for first 10 years easily.
23:07
And then you have already, like if
23:09
you believe me, that Shopify is
23:12
pretty good. Now there's a compounding advantage for people
23:14
who have adopted it earlier. And I think that
23:16
is sort of like a tiny zoom of a
23:19
much bigger fractal that I think is that play there.
23:22
How has Canada changed the most since you
23:24
moved there? It
23:26
feels like it's the optimism angle. And I
23:28
think this is like a thing that worries
23:30
me the most. It just, I think Canada
23:32
had a massively underappreciated at the time project
23:34
in multiculturalism that worked. And
23:37
it started under Pierre Trudeau really
23:39
just putting country together with great
23:42
leadership, great vision. And Canada had a string of
23:44
leaders that were like kind of almost too good
23:47
for a small country. You know, there
23:49
was like this, hey, they're getting a
23:51
long world, they're friendly, they're like, it's
23:53
a high trust environment. There's the best
23:55
days are going to be ahead of
23:57
us. And I think it's so hard
23:59
to. point at exactly what change did.
24:01
The cultural narrative has just simply shifted
24:04
now. I do think
24:06
people are a little bit more
24:08
circumspect and looking at the country.
24:10
I think the problems are more
24:13
clear. It's like there's
24:16
a lot hanging on real estate, and real
24:18
estate is not by itself. It's
24:22
valuable to a second order because of all
24:24
other sort of things being valuable. I
24:26
think the worst thing is, from my
24:29
perspective, is that Canada
24:31
seems to be OK just exporting
24:33
the raw materials for everything. And
24:35
that started as beaver pelts being
24:37
sent to London for turning into
24:39
high margin hats. And Canada
24:42
has no refineries. It all goes to Houston.
24:44
It produces a good deal of energy. Waterloo
24:47
is basically a raw material export, as
24:50
well as one of the greatest schools
24:52
in the planet. Waterloo students are lot
24:54
bearing for second value companies. There's a
24:56
lot of readiness to export the CO
24:58
cultural conversation about maybe we should
25:02
have pre-built things here, as well. It
25:05
seems like a country which has
25:09
so little self-confidence.
25:12
I see this as running Shopify. A
25:15
huge amount of our employees we hired last year,
25:17
I think it was 60% or so of our
25:19
engineers with boomerangs coming back from storied
25:22
American companies, most of them were
25:24
Canadian. Because like
25:27
they often say this because we wanted
25:31
to work for Apple because my parents said, man,
25:34
you're really doing well in tech. You might actually
25:36
get a real job in that Apple.
25:40
And if you hear this a lot, you do. And then you
25:42
go there. And you know what? You actually like to do that
25:44
Shopify. And then you come back. And I think this kind of
25:46
thing needs to happen. We need
25:48
to have some more of these stories out there.
25:50
Canada is a pretty good country. I think it's
25:52
a major, major asset to the United States as
25:54
a great friend. And I think a stronger Canada
25:56
is better for absolutely everyone. Do
25:59
you agree with the stereo? type that
26:01
Canada is especially weak when it comes
26:03
to branding. So there's Shopify, there's Molson,
26:05
you could say there's hockey, NHL,
26:09
but not that many Canadian brands.
26:11
Why is that? Or do you challenge the
26:13
premise? Because Canada exports some products. Shopify
26:18
and Lululemon export, sure, forgetting, I
26:20
mean, Molson, sure. But I don't
26:22
think it's not ability to do
26:24
branding. It's just Canada does not
26:26
appreciate commercialization of any kind. It's
26:28
like Canada wants to
26:30
invent. It's
26:33
remarkable how many papers that are foundational
26:35
to the current revolution of AI
26:38
Boom are in the University of
26:40
Toronto, Waterloo papers, Jeff Hinton and
26:42
his lab and Ben Gio and
26:44
so on. Canada
26:48
loves to have a Eureka moment. It's
26:51
seen as a low status thing to do to then go
26:53
and try to build a business around it. Which,
26:56
you know, is probably amazing from
26:58
a perspective of our neighbors. But
27:00
like, probably not so good for the,
27:02
you know, sort of wealth of a
27:04
country like it's not metabolizing any other
27:07
kind of innovation. Shopify is very much
27:10
an operation here as like, let's make
27:12
something that at least was a brand
27:14
of businesses initially and increasingly people beyond
27:16
businesses recognize it. So yeah,
27:18
like, I think that's an
27:20
important thing. Like, it's the same thing as
27:22
like, maybe you don't refine more, or we
27:24
don't make the hats for from from the beavers
27:27
or, you know, we just don't create the
27:29
final product, we send for raw materials everywhere.
27:31
And I would, if I could
27:33
change one thing, it's I would do that, I
27:35
would put like, and by the way, this is
27:37
deeply encoded in policy, right? So
27:39
there's a thing called SRED tax
27:41
credits, I'm not gonna bore you
27:43
with the details there. But like,
27:45
you can claim those to, if
27:47
you if you do, it says
27:49
research in development, try to claim
27:52
them for anything that's commercially related.
27:54
It's actually, it's remarkable. At
27:56
various points, stop just applying for them just
27:58
because Too
28:00
commercially in lots of ways so you're being
28:02
paid for doing original research which I think
28:04
is a great policy like because some like
28:07
often Original research kind of quote in your
28:09
boost But then
28:11
going and turning this into a product
28:13
you're like completely left out like if
28:16
you want to claim anything You will
28:18
have to ask every one of your
28:20
people in the staff to have meticulous
28:23
time sheets and submit an ungodly burden
28:25
of documentation which literally makes the commercialization
28:27
jobs terrible and so therefore You
28:30
know it's like the good people don't want to
28:32
book in this environment and so on so on so Do
28:35
you think in Canada there will be
28:37
an enduring backlash against immigration? I don't
28:39
mean the phony student visas Let's assume
28:41
that's taken care of but immigration as
28:43
it had been proceeding is that the
28:46
standing equilibrium? Or is that going to
28:48
dwindle and asymptote? So Canada is about
28:51
I don't know if it's accurate numbers But I think there's
28:53
a directionally right this is it kind of is about 41
28:56
million people in the last three years
28:58
three million people immigrated to Canada Which
29:00
you know is a significant percentage increase
29:03
in in size of population There
29:05
is a lot of cultural conversation about this
29:08
I think most of a conversation that I
29:10
see is not really about the veracity of
29:13
immigration in general But actually about like
29:15
the sort of fact that in
29:18
this time of adding three million immigrants We added
29:20
like almost no housing which is
29:23
like so that's you know Just that's
29:25
that's just like a not a great idea to do
29:27
that that's causing a lot of you know bad down
29:30
senior effects Immigration has my entire
29:32
20 years I've been here doing something
29:34
been very popular in Canada which I
29:36
thought was one of the most unique
29:38
parts of the country That's sort of
29:40
part of first statement. I made earlier
29:42
about an almost unacknowledged effortlessness to multiculturalism
29:45
that That worked the Canada
29:47
also implemented the thing that everyone's talking
29:49
about a skills based visa program at point
29:51
with point systems Which is well designed
29:53
and and has been doing a lot of
29:55
work for Canada in the past It's
29:58
not quite clear to me. Why? we
30:00
walked away from these priors that have
30:03
clearly identified the work, all of it. And
30:06
certainly, things
30:08
in policy land changed and opinions
30:10
changed. I don't think people
30:12
like this experiment. My significant hope is that
30:15
this is not going to be
30:17
one of us baby out with a bathwater moment
30:19
because we have a great skills-based immigration system. I
30:21
think China should just fall back on that and
30:23
run that up. Why
30:27
does Ottawa remain such an underrated
30:29
city? So Americans will take a
30:31
three-day trip to Toronto or Montreal,
30:33
but Ottawa is excellent. There's the
30:35
National Museum, very good food. Obviously,
30:37
it's nation's capital. Why
30:40
does it stay so unknown? But a wonderful setup.
30:43
And it's close, right? Thank you for the
30:45
platform. It's a wonderful city. We
30:47
ended up there because my wife was born there, but
30:49
then actually started there. Maybe
30:52
not expecting to go back. And then we stayed for 20
30:54
years and we built like Shopify built a
30:56
great company there because it's just like people
31:00
really love it there. And they were like itching for
31:02
better employees, I suppose. Yeah.
31:05
I mean, obviously, it also gets really
31:07
cold. I had these wonderful parts. My
31:10
commute to work was a canal, skating
31:12
on a canal every day. And
31:14
where else in the world can you have a commute like this? But
31:17
also, the first time I visited, it was really, really
31:19
cold in winter. And I was like, I sort of
31:21
had my questions. And then the summer you
31:24
go to a cottage and that's
31:26
just like the other side of the world thing.
31:28
And it's just like it's a wonderful quality of
31:31
life. And I think that matters. Don't you have
31:33
the world's largest outdoor ice skating rink and it's
31:35
seven kilometers or something? Yeah. That
31:38
was my commute. That was your commute, all
31:40
seven kilometers? Or how much of it? Well,
31:42
maybe two of us was a commute. It
31:44
was right office downtown. And then we were
31:46
living along the canal, like two blocks in.
31:49
And it was very cool. A very, very
31:51
nice thing. Nice way to stop a day.
31:54
I'm sure I wrote my best code those days. reality
32:00
stores matter? That's a good
32:02
question. Virtual reality stores, I
32:06
don't have a great answer
32:09
there. I don't think they
32:11
report the exact, like the Fifth Avenue
32:13
boutiques online other than for having virtual
32:15
twins for them, for people who specifically
32:17
want to see those. I don't think
32:19
the future of e-commerce is going to
32:21
be strolling through malls or virtual malls
32:23
or these kind of things. So I
32:25
think the exact story this store kind
32:28
of composes is going
32:30
to be different. I think the innovation and virtual
32:32
reality are going to be much
32:34
more about virtual avatars or real
32:37
people having you talking to the
32:39
product. Shopif represents mostly
32:41
the catalog of product that people really want
32:43
rather than the necessities. The Fifth
32:46
Avenue boutiques would also be the ones using Shop Point
32:48
of Sale. Purchases are a lot
32:51
more deliberate around this. People often spend weeks
32:53
thinking about this. This is something they would like
32:55
to purchase and they're really looking forward to the
32:58
package arriving, hopefully very quickly. I think
33:01
there's lots and lots of touch points
33:03
there. The place that is probably the
33:05
most virtual area that we see is
33:08
already furniture. Placing
33:10
the couch in your living room is just
33:12
better than looking at it in some
33:15
store. I think we see the
33:17
early innings in this. There's a couple of
33:20
technologies that we are tracking like Gaussian Splats
33:22
and these kind of things that are just
33:24
going to make it vastly simpler for people
33:26
to make digital twins available
33:28
from whatever they managed to put together in
33:30
real life. I think a bunch of this
33:32
is coming, but I don't
33:34
know what's the date and what exactly is
33:36
the form factor. Not
33:39
talking about back office, but actual
33:41
retail. Do you see in
33:43
advance how AI is going to be changing retail and
33:46
what does that look like? I
33:48
think it will play a significant role for sure. Change
33:51
retail, I think it will also, I mean, I think
33:54
we will see significantly better parts being
33:56
made. I do think so. I have
33:58
extremely bullish view. on AI,
34:01
specifically around the utilitarian value,
34:03
I think there's enormous advantages
34:06
for company building. I think there's enormous advantage for
34:08
product creation. I think what we
34:10
engineers experience around copilots just right
34:12
now getting good, that are
34:15
helping us do the job that we
34:17
already have a significant craft in, but
34:19
do it better, is extremely
34:22
convincing. And I think people would
34:24
want a copilot or a sidekick
34:27
or something like this along more
34:29
of the things they
34:31
do, which are like at the edges of
34:33
their ability, which I think in
34:36
a retail world on the creation side of businesses
34:38
and on the creation side of products, it's just
34:40
like basically all the time. It's a stretch. It's
34:43
a way you put yourself out there, you create
34:45
the best thing. It's a deeply personal thing to
34:47
create the first version of a product that we
34:49
try to create a company around. And
34:52
so I think that's really, really
34:54
powerful, like super, like highly intelligent,
34:56
very knowledgeable, zero
34:59
judgment, all that's available, fast returning,
35:01
even text AIs are
35:03
going to be fantastic. But
35:05
increasingly, I think software is going to
35:07
go through a rethink for this decade.
35:10
It's just quite clear that
35:12
most software, like
35:14
we have learned how to build
35:16
excellent user interfaces, quite approachable. Like
35:18
we simplify an enormously
35:21
complex space to easy to reason
35:23
about point decisions in a pretty
35:27
approachable and legible interface, which also look good.
35:29
And you know, like all these kinds of
35:31
things, that's sort of top
35:33
of the hill we've been climbing for 20
35:35
years or a little bit less since whatever
35:37
moment you pick in which web 2.0 started,
35:39
which really was the beginning of engineers saying,
35:41
hey, we figure out how to build applications
35:44
off the internet. And that's the string we've
35:46
been pulling on for all these years. And
35:48
we've built all very, very valuable companies that
35:50
basically replaces the like going directly to the
35:52
database or going to the command line and
35:54
we build these interfaces. I think now the
35:58
instead of creating a
36:00
place where someone can run around and
36:02
switch a whole lot of toggles and
36:05
change preferences to suit their
36:07
particular idea. I think people
36:09
can just tell us their goal. And
36:11
then we can work together on this. I think
36:13
goal oriented software is actually what we always wanted.
36:15
Because that's actually meets people where they are. It's
36:17
like how you work with colleagues together too. And
36:20
it's not, I'm actually really excited figuring out what
36:22
this is going to look like. I love the
36:24
time so ever significant transition, I thought that 2010
36:26
to 2020 was boring.
36:29
Because we basically just scaled the stuff we figured out towards
36:31
the end of 2000 to 2010 period. And so now we're
36:36
going to get into much more interesting times again, there's a
36:38
lot to be figured out. And that's exciting and interesting.
36:40
And I think we will end up is a much,
36:43
much, much, much higher amount
36:45
that couldn't have seen from the original hits,
36:47
right. And so that's, that's always exciting to
36:49
me. And I think it's going to be
36:51
very valuable to people. Now
36:53
you work with so many retailers, do
36:56
you feel you understand retail price stickiness?
36:58
Because economists don't a lot of economic
37:00
models imply prices are sticky. But when
37:02
they move, they should move a lot.
37:05
But you look at the data we have,
37:07
it seems that big and small price
37:09
movements are about equally likely, which means
37:11
we as economists are fools. How
37:14
well do you understand all this? I
37:17
don't think I have that line. Honestly, I just
37:21
like business are just so different, they are
37:23
hard to average out. And like, there
37:25
are a lot of businesses that
37:28
do their pricing strategy is aesthetics. And
37:30
aesthetics is one of those handwaves that
37:32
humans do, to explain away
37:35
enormous amount of background processing that goes
37:37
into it in the best case scenario,
37:40
like an entire career of knowledge rolled
37:42
into an intuitive quick decision, or
37:45
completely making it up like, like, sort of both sides
37:48
of like mid mid meme here. Like,
37:51
I think economics fundamentally will have to, you know,
37:53
roll a lot of data points into an average
37:55
and then try to see which direction people do.
37:58
And there's a lot of canceling each other. about
38:00
going on in the spaces that we
38:02
are concerned about. But sort of interesting,
38:04
we went for a high inflation period
38:06
and just tracking
38:09
when prices in the system were kind
38:12
of following that was deeply
38:14
different based on what kind of products
38:17
are and how people consider purchasing, buying
38:19
these products, obviously on margins too. So
38:22
again, I feel for the economists,
38:25
because I don't think, you know, I think
38:29
physics has given us a sense
38:31
that there is a simple equation underneath everything.
38:33
And we've built an aesthetic around this. And
38:35
I think often too many other fields want
38:37
to be more like physics. And I think
38:39
actually things are wonderful when they're complex. Like
38:42
I think, I don't know if you want
38:44
to talk about company building, but
38:46
companies are complex adaptive systems,
38:48
much more than being sort
38:50
of industry-applied versions of military,
38:53
slightly more complex organizations of military service. And
38:56
the recognition, which is not that old, right?
38:59
To a certain degree, it can explain why
39:02
companies run by some of
39:04
their engineering type people have been outperforming
39:06
things, because people have an incorrect understanding
39:08
what engineering is and how
39:10
it works. Engineering is fundamentally, at
39:12
least for the last 30 years, has
39:15
mostly spent time on trying to take non-deterministic
39:18
systems to make them indeterministic, which is kind
39:20
of what we do
39:22
in the real world with policy mostly
39:25
and process. So I think what we
39:27
can do now, if you're an engineer
39:29
running a company, I think you come
39:32
pre-equipped with ideas like systems thinking instead
39:34
of World War II organizational structures. Companies
39:37
are the ultimate non-deterministic systems that you're
39:39
trying to get to build fantastic products
39:41
at great pace, inclusive of all the
39:44
creativity by various actors in the company
39:46
and trying to
39:48
build inside of it a culture, a story,
39:50
incentive systems that are just making it so
39:52
that the maximum amount of everyone's
39:54
activity actually for the submission. I
39:57
find these things just so fascinating to
39:59
think about. But because this is
40:01
sort of going back to the beginning, I saw
40:03
myself as an outsider and I've made a study
40:05
of other fields from afar. There's
40:07
so many amazing ideas in basically any
40:10
given field that you can possibly name
40:12
or imagine. Like, and often what
40:14
happens is like every field kind of reinvents the
40:16
same core ideas and gives different names to them.
40:19
And making a study of doing this kind of thing
40:22
and just saying, okay, well, how do we build a
40:24
better company? I think companies are very bad, like all
40:26
of them. Like I think literally everyone, me and my
40:28
contemporaries, especially, we're gonna be terribly
40:30
embarrassed by the companies we ran in the early
40:32
2020s. And so,
40:35
because there's all these things we didn't yet have
40:37
or didn't yet understand or so, and then we
40:39
eventually will figure this out and then how could
40:41
we even build anything before we figured out this
40:43
thing? Again, I find that just
40:45
like such an interesting meta field of
40:47
research. It's almost a plight good thing.
40:50
What if we never figure it out? I mean, how
40:53
sure are you that in the future it
40:55
will be that much better? We'll have
40:57
better technology, but organization? Yeah,
41:00
we have new primitives on which we can,
41:02
like sometimes also philosophies, right? But I'm not
41:04
saying we're gonna build a company. There's no,
41:06
like everything is a set of trade offs.
41:08
I just like compared, like if the best
41:11
soccer team on planet earth gets at
41:13
like 80% of perfection, you freeze frame,
41:15
the replay, everyone, very few people use
41:18
a muscle that incorrectly while
41:20
actually approaching the wall and
41:22
then beautiful orchestration of cooperation
41:24
without zero communication. That's
41:26
like, what's a company? A
41:29
company is 5%. Like
41:31
how many memos are never read? And so,
41:34
which to me tells you, if you
41:37
just get to 6%, you're already doing better. Like
41:39
that's a pretty good way of not being as
41:41
embarrassed as everyone else. I think realistically
41:43
there's gonna be a limit because these are not the,
41:45
like soccer games the same one every time you can
41:47
actually practice for it. Like a company's, you know, every
41:49
day is a new day. It's a new puzzle box
41:52
dumped on everyone's desk. It's a different environment, but
41:55
still like I think companies are vastly better now.
41:57
Like when I started as an engineer even like.
42:00
uh, apprenticing under my Meister, he said, you have
42:02
two years after you start writing code for a
42:04
project, after which it's like someone puts a mental
42:06
note codebase and you're never going to change a
42:08
thing again. And that was just like
42:10
accepted back then. And now like we have
42:13
pieces of software that are 20 years
42:15
old and they're delight to work on because
42:17
we just built up these understandings. There's not
42:19
like a lot of these lessons in other
42:21
areas as well. What do
42:23
you think is the most common mistake your
42:25
third party retailers make in modeling the world?
42:28
Thinking they have to build products for that other people
42:31
like. I think this is the, this
42:33
is the sign killer. It's just like Shopify
42:35
is like someone's called it Kevin
42:37
Kelly's 1002 fans as they applied
42:40
at scale. Yes, everyone's different, but
42:43
actually there's clear clusters
42:46
and the people who are willing to dedicate
42:48
themselves to build a product and like, like
42:50
go through that entire rigmarole and put themselves
42:53
out there. Well, actually
42:55
inside of a cluster, more like the people everyone else
42:58
wants to be. And if they build
43:00
things that they would love to have in the world, turns out
43:02
that's they have extreme inside and
43:04
authority over this rather than running. There
43:06
was some cross pollination from the lean
43:08
startup book to the retail world. And
43:10
I think that's especially in retail. This
43:12
has been bad. I'm actually wondering
43:14
if that was such a good set of ideas. I think
43:16
that's good ideas in the book, but like it
43:19
feels a little bit ungenerant to just like I
43:22
think customers are not the people who
43:24
should say what needs to be built. I think
43:26
they need to explain their problems and it's like
43:28
the builders have to figure out how to solve
43:30
these problems better. I think that's otherwise an application
43:33
of vision. I think the best companies end up
43:35
like following a long term vision and a long
43:37
term mission. So I think that's part of it.
43:39
And then the people who have access to capital,
43:41
they under invest in growth. That always happens too,
43:43
which I know it's scary to do
43:46
internet marketing as getting harder and harder, but
43:48
like it's
43:51
not priced out yet. Did
43:53
you learn all this selling snowboards or
43:55
it took until Shopify? Okay, so
43:58
the greatest thing about running Shopify is
44:00
my customers are incredibly
44:03
inspiring individuals. It's like, in
44:06
a lot of places, it's very hard to convince
44:09
people to actually talk to their customers. It's actually
44:11
like sometimes our problem is the opposite. We have
44:13
too many people in conversations with
44:15
our customers. They are super
44:17
open to sharing what they see, and they're
44:19
delightfully discontent with what we give them. They
44:22
will tell us how to do this better
44:24
every single time. But they will also tell
44:26
us here's why, because
44:28
they are entrepreneurs. And Shopify
44:30
is honestly like a celebration
44:33
of the small bits of
44:35
capitalism. It's like we love entrepreneurship. I should
44:37
say plenty of our customers have started on
44:39
Shopify, and I know absolutely
44:41
massive billion dollar plus retailers.
44:44
So it's not like there's
44:46
a great variety spending pretty
44:49
much the entire spectrum of our retail industry
44:51
and size represented on the system now. But
44:53
a lot of the largest
44:56
people who started on the platform, now
44:58
has been around for 20 years. But
45:00
we love entrepreneurship. We love founding
45:03
the concept of companies as a self-expression.
45:05
You know, just there's glory in entrepreneurship.
45:07
And it's actually it's underappreciated. It's like
45:09
really, really, really, everyone talks about it,
45:11
and politicians always like are like pro
45:13
business formation. But like often the
45:16
behavior doesn't confirm to us.
45:18
It keeps getting harder to policy wise. I mean,
45:20
it's talk about, you know, that's certainly an aspect
45:22
in Germany as well. It gets hard and hard
45:24
to start companies in some places. Again,
45:26
the United States isn't the opposite. We are not
45:29
there. We have API's to start businesses, which is
45:31
exactly how things should be. Friction
45:34
changes the behavior a lot because
45:36
everyone's allowed to be an intelligent actor in
45:39
their local incentive system. And if you're massively
45:41
like disincentivized of starting a company, then by
45:43
just like BS, you have to deal with
45:46
and people want. So we want to be
45:48
a counterforce to that. We want to remove
45:50
friction where we can. Like again, we can't,
45:52
we can potentially advocate against bad policies, but
45:55
we can do a lot about what happens
45:57
after the policies stop mattering.
46:00
step because every single time we've made
46:02
Shopify more approachable or things that were
46:04
previously complex and gating for people's success,
46:06
every single time we made
46:09
something significantly simpler, it actually caused
46:11
more success. More people otherwise didn't
46:15
make the hurdle and ended up making
46:17
it through it. And not stopping is
46:19
actually the thing that really, really leads
46:21
to success in a reductionist way. So
46:24
we find that just to be a really, really important
46:26
discovery. Again, when we
46:28
are part of a journey, I like to
46:30
create the center systems and the business system
46:33
of Shopify in such a way that we actually are on the same side
46:36
of the table with our customers.
46:38
The best thing we can do to
46:40
grow Shopify is make our customers more
46:42
successful because we're in this together, economically
46:44
speaking. So they take an active role
46:47
in talking to us.
46:49
Every one of the product managers has hundreds
46:51
of active, what's up conversations with fast growing
46:53
businesses. And I think that's a
46:56
really, really, really fun way to build a business.
46:58
It's a very, very, very rare
47:00
thing that your customers are often the source
47:02
of your inspiration. What's an
47:04
interesting book you've read lately? Interesting
47:07
book, I think. I've been sort of on
47:09
a fantasy kick, which is not super conducive to
47:11
that. But what do you learn about management from
47:14
reading fantasy? You read
47:16
Sanderson, right? Am I correct? That's
47:18
right. That's right. I read Sanderson.
47:20
They're long. Very rare commitments. My
47:23
son read the entire Stormlight archives for books on
47:25
March break and I've such reading speed envy since
47:27
then. It takes me a lot, a lot longer.
47:29
I mean, I think fantasy
47:31
is full. I mean, fantasy is very
47:34
often a mirror to society in some
47:36
reductionist way. So it's a sort of,
47:38
it's a simulation. It's a simpler scenario
47:40
with some variables changed. And any book
47:42
that you don't like toss across a
47:44
room is a book that usually has
47:46
realistic characters that have some depth to
47:48
them following their story, given sort of
47:50
the changes in environments. Fantastic. I mean,
47:52
obviously a lot of rings is an amazing
47:54
match. If you will, like the
47:57
way Gandalf shows up in just the right time.
48:00
exact right combination of words is certainly something
48:02
that's extremely valuable. At least it
48:04
conforms to the best version of the
48:06
business systems that we used to build.
48:08
And I think that's really valuable. That's
48:10
interesting. Seeing a state is just a
48:12
fantastically book. He just passed
48:14
away. You probably saw that on Twitter. It's
48:16
yesterday or so, a couple days ago. Yeah,
48:18
what a fantastic mind. It's one of those
48:21
books you read which feels like it should
48:23
be a book, particularly
48:25
a good book in a space of lots of books. But
48:27
it seems like totally, there seems to be nothing around it.
48:29
It's just like... I've had
48:31
people ask me, oh, recommend to me other
48:33
books like Seeing Like a State. I'm not
48:36
sure what to say. Exactly. There's nothing quite
48:38
like it. It's really wonderful. I've been fascinated
48:40
with the Burnham books. You mean Managerial Revolution?
48:42
And Machiavellians are just like, especially for when
48:44
they were written incredible books. The degree by
48:47
which we have known a lot of these
48:49
kind of things but haven't known the solution
48:51
to some of the things that Burnham discusses
48:53
are just remarkable. I think
48:56
the best book I've read, was A Conflict
48:58
of Visions recently by Thomas Sauer. I just
49:00
find that is an incredibly insightful book
49:02
by creating a prior to a lot
49:05
of political conversations, a
49:07
higher order differentiation between people. I've just
49:09
found myself to be someone who... I
49:13
fundamentally think humans are limited and that's the best
49:16
thing about humans. And
49:18
that systems that we can
49:20
build can lead us to
49:22
incredibly amazing feats of cooperation,
49:24
coordination and optimizing
49:26
everything you do to find the best set
49:29
of trade-offs feels like an extremely mature way
49:31
of seeing the world. I'm just
49:33
constantly fascinated with Sauer's writing. Final
49:36
question. What is it you hope to learn next?
49:39
I have been on a wonderful
49:41
reconnecting with engineering kick for us
49:43
a little while. I've really, really
49:45
had a great time coming back.
49:47
I think co-pilots and AI has
49:49
allowed me to like mitigate
49:52
all the downsides of just not
49:54
spending any like weekends and book
49:56
on computing projects. Again, I'm incredibly interested.
50:00
I'm interested in LLMs, Transformer, the machine
50:02
learning world. It feels
50:04
almost unending well for information
50:06
and focus. So I'm just
50:09
fairly tapped on this. It's hard
50:11
to say this as a field
50:13
because it changes every couple of days. I
50:16
am most thinking about, and I really feel like
50:18
I can contribute a little bit
50:20
to just thinking about how to have higher trust
50:22
companies at scale. I just think people make a
50:24
lot of... People
50:27
describe as I'm a small company person, I'm
50:29
a big company person. I just don't think
50:32
what's actually the differences. I think people are
50:34
using labels around something they feel and they
50:36
haven't got the right words. It is probably
50:38
many things that contribute to this. But
50:41
certainly parts of these things are a sense
50:43
of agency and a bit ability to impact.
50:45
A lot of what happens in companies is
50:48
that policies and processes, they're
50:50
well-meaning. They bring up the floor so no
50:52
one actually does something really, really wrong. But
50:55
what people don't see is they also bring down the
50:57
ceiling. And so you end up in these places where
51:00
it doesn't matter who you are, you're going to do seven out
51:02
of 10 work. And just
51:04
the whole concept of entrepreneurship is about going
51:06
for world class and people need
51:09
to leave in many places after a company gets
51:11
a certain size. I really
51:13
think this is simply a path dependent,
51:15
unacknowledged situation that just comes from the
51:17
way we have... The tools
51:20
that we had to coordinate
51:22
in people and everyone holds
51:24
their dismissal of trust as a part of
51:26
this. I think the
51:29
best areas of a company like
51:32
Shopify keep the ceiling open so
51:34
that everyone can reach as high
51:36
as they have ambition for. Sometimes
51:39
teams come together and just do absolute work class.
51:42
That means you have to be willing to accept
51:44
underperformance as well. Like a floor can't be quite
51:47
so high. So sometimes you get something that you
51:49
can't trip. Sometimes you get something
51:51
in the wrong direction. This all comes with
51:53
a territory. And businesses tend to think about
51:55
these things as disastrous events and will do
51:57
everything to not experience this and therefore stay in the
51:59
room. them a all creativity, I think
52:01
we are now gaining
52:04
tools and approaches that can
52:06
do this at scale,
52:08
just like what engineers experience with writing
52:10
code. And then you have a co-pilot
52:12
that helps you write code well, given
52:15
what you're working on and quickly
52:17
gain the insights that you need and the
52:19
task, the area understanding, and
52:21
then after you are done with it,
52:23
there's automated systems that test, there's like
52:25
automated linting, automated unit tests and so
52:27
on. It's to me,
52:29
this, I know this sounds incredibly nerdy,
52:31
but what this basically is, is trust
52:34
plus co-pilot and automated
52:36
verify. And so as a take on
52:38
the trust, but all trust that verify
52:40
thing, I think that creates
52:43
a wonderfully fun environment. It
52:45
turns working on areas into,
52:48
you know, almost video game-ish. And I think
52:50
we know how to build these systems now.
52:52
And I think we can build enormously better
52:54
companies this way. They're just more fun for
52:56
everyone. And I also lead to just better
52:58
products. And I just, this
53:01
is clearly possible because I've seen it be possible. And
53:03
we just have to come up
53:05
with a couple more ideas along those ways. And
53:07
we have to figure out the particular downsides because
53:09
again, nothing is perfect. Just different
53:12
sets of trade-offs. I think the different,
53:14
the trade-offs of building a
53:16
company this way, rather than just reducing it
53:19
to zero trust and mechanize everything is enormous
53:21
for society and like just productivity and
53:23
just like fun at work. And yeah,
53:25
so I'm excited about that. Toby
53:28
Luttke, thank you very much. Great conversation. I really
53:30
enjoyed this. Thank you, Tyler. Thanks,
53:53
John. And the show is At Cow &
53:55
Convo's. Until next time, please
53:57
keep listening and learning. you
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