Episode Transcript
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0:05
Hello and welcome to NoPriors. Today
0:07
we've got Elias Torres with us,
0:09
repeat entrepreneur and CEO of Agency,
0:11
which is working on enabling every
0:13
company to make their customers successful.
0:15
Elias is no stranger to entrepreneurship. He's
0:18
founded four companies, Lead Engineering, at
0:20
the Juggernaut SaaS company HubSpot, and
0:22
most recently sold his last business,
0:24
Drift, for more than a billion
0:27
dollars to VISTA equity partners. Elias,
0:29
welcome. It's a pleasure. It's
0:31
been a dream of mine to be here
0:33
with you. You're doing company number five.
0:35
Can you just talk a little bit about who
0:37
you are getting to this place? Yeah,
0:39
absolutely. The
0:41
journey, I think, for me
0:43
is what's interesting bits about
0:45
it, I'm from Nicaragua. So I
0:47
came, first generation could not speak
0:49
English, right? imagine me at the
0:51
back of a McDonald's, you know,
0:54
reading the printouts to founder number
0:56
five, three times with Sequoia you
0:58
know, and outcomes, IPOs, et cetera.
1:00
It's been an incredible journey, right?
1:02
I worked at IBM for 10
1:04
years and then I wanted to
1:06
be an entrepreneur. I just could
1:08
not be inside of IBM. I
1:11
needed to be free. I needed to have
1:13
a chance of huge impact. And impact. so
1:15
here I am, I'm in Boston. That's
1:17
another interesting bit, right? I'm not in the
1:19
valley. I came to Florida from Nicaragua
1:21
and then I had a shot at IBM
1:23
in the Northeast, I've been here ever
1:25
since. You know, one tidbit I will
1:27
insert because I feel like the tech
1:30
community has somehow discovered that smart kids
1:32
who end up in tech often do
1:34
math competitions growing up. This has been
1:36
going on a long time, guys. Oh,
1:38
yes, you are one of the math
1:40
competition kids. I was a
1:42
math competition. I wish I would
1:44
be like like an Android
1:46
or something like that, right? But,
1:49
but, um, yes, we're talking,
1:51
let's say 1992, 91. is Nicaragua,
1:53
but I get picked somehow
1:55
to represent the school nationally at
1:57
this competitions, right? I third. in
2:00
the country, it's not a great
2:02
accomplishment. But the point you're making
2:04
is that math is fundamental to
2:06
this and the ability and the
2:08
thinking is applicable. And when I
2:10
came to the United States, I'm
2:12
in a low -income town in
2:14
Tampa, Florida, low -income school, public school.
2:16
And somehow, again, I don't speak
2:18
English, but somehow the math teacher
2:20
says, do you wanna be in
2:22
math competitions? Me, you alpha theta.
2:24
And I'm like, sure, I'll join
2:26
the nerd club. And I'm like,
2:28
just how to blast it. I
2:30
did have a lot of trouble with the
2:32
word problems, but I was able to do well
2:34
in the other ones I want to
2:37
talk a little bit about
2:39
the last two journeys because
2:41
HubSpot is a company that
2:43
everybody knows that is like
2:45
an important public enterprise SaaS
2:47
business now. And you've done
2:49
leadership at different scales, like
2:51
coming out of even the
2:53
success of HubSpot where you
2:55
were leading engineering, like why
2:57
go start drift? I
3:00
think my whole life has
3:02
been. a a
3:04
journey not having any clue
3:06
what's ahead or what's possible. I mean,
3:08
that math competition I had in Nicaragua
3:10
to go to compete in Mexico, representing
3:13
my country and meeting kids from all
3:15
over Latin America was like mind -boggling.
3:17
Then I come to the United States,
3:19
then I'm in Florida and then you
3:21
start like, you know, I don't know,
3:23
like MIT and stuff like that. So
3:25
there's always like more. It's just been
3:27
fun not knowing what's ahead until you
3:29
get there. And taking HubSpot Public When
3:32
Brian Halligan came to me and bought my
3:34
company, Performable, so he's like, our goal is to
3:36
take it public in the next year or
3:38
two. I had
3:40
no clue what taking a company public meant.
3:42
mean, we had $30 million in revenue,
3:44
200 employees when he said those things. Brian
3:47
says, you're in charge. You and David can
3:50
do anything you want with product and engineering.
3:53
We've got to go public. so my mind is like,
3:55
okay, we're going public, but I have no idea
3:57
what going public means. That That naive.
3:59
it. today great, right? We go
4:01
public, a billion -dollar company, three years,
4:03
everything was great. We went from
4:06
to 130 million. I
4:08
said, if can do this.
4:11
Why can I do this too, right? should
4:14
be easy to go from zero to
4:16
a hundred million. And that's why I left
4:18
HubSpot, really. I was so naive thinking
4:20
that was going be easy. Well, you
4:22
were not so naive that it didn't work,
4:24
right? So your last company drift, it
4:26
for more than a billion dollars and you
4:28
could do it. And yet you told
4:30
me you think of it in some ways
4:33
as a failure, which is like a
4:35
very odd uncommon point of view on that
4:37
sort of outcome. Why
4:39
would you describe it that way? Look, I'm very
4:41
happy with my life. I had almost
4:43
no food growing up, right? So to
4:45
me, every year has been a better
4:47
year than the one before for me.
4:50
ever since growing up. So, like,
4:52
I have zero complaints. But
4:54
when we left HubSpot, You
4:57
know, to start a
4:59
company, I left it at a billion dollars. And
5:02
I saw it grow to 30,
5:04
right? And so As
5:06
I'm building drift, the All
5:09
the Oh, the goalpost moved, I say. The goalpost moved,
5:11
right? So the day that we sold
5:13
drift me was a very sad day. I
5:15
did feel like a failure. It was
5:17
super anti -climatic. It was literally, I was
5:19
at home in bed, tired. It It was
5:21
like 11 o 'clock. We've been waiting to
5:23
sign the papers, you know, power of attorney.
5:26
I just got a text from one of the
5:28
lawyers says it's done, you know, and that
5:31
day I felt nothing, right? And the next
5:33
day it felt even weirder and weirder.
5:36
It took a long time for all those
5:38
things to clear up what it meant
5:40
to sell for a billion in cash, right?
5:42
company that we grew to a hundred
5:44
million in revenue, eight years of hard work,
5:46
but I lost a dream. of building
5:48
a $30 billion company or taking
5:50
a company public, right? And
5:52
so I felt at that time
5:54
I was so tired, worked
5:56
straight 45 years of my life, you
5:59
know. And I was never
6:01
taking vacations, really. And I was worried
6:03
I was worried that I it in have it in me at the
6:05
time. If you me, me, are you gonna start something else? I
6:07
would be like, else, done. be like, I'm done. It's like,
6:09
I'm like, how I'm like, how could I start
6:11
over? know, I know. So I was like, I'm done. It's was
6:13
like, I'm done. like, like, to people are like,
6:15
I want to start a company. I I
6:17
go, stupid. Don't do it. do it. took a
6:20
minute, you're kind of hanging out for
6:22
a while, for a while. then you started doing
6:24
some consulting for OpenAI for open AI and their customers
6:26
customers the energy come from again? energy Pat again?
6:28
As Pat says I have the energy
6:30
of a teenager. the energy was I
6:32
was a little tired a little tired. it's
6:34
a little weird, reverse. It's a a
6:36
little weird. Elias. It's a little we're
6:38
lucky. It's What happened? was
6:40
tired. I was in, I
6:42
was was of 2022. What happened?
6:45
Chad GPT. Chad GPT. And the launch
6:47
the launch of conviction everybody,
6:49
this is very important. very same
6:52
time? same time? Yeah. October. Yeah. October. No, you
6:54
knew. You stole the the I was in
6:56
I was in Brazil technically,
6:58
was the first the first real
7:00
vacation I took took post -acquisition because I
7:02
worked, I stayed at DREF for
7:04
almost two years, and
7:07
I was there. there. And then I
7:09
kite served, that's one that's one of my hobbies.
7:11
I have hobbies now, now, you know? Nice.
7:13
Poor immigrant does does not have hobbies, but
7:15
now I have hobbies. For the first
7:17
time like felt like I get up in the
7:19
morning, we'll kite surfing the afternoon, we
7:22
just have breakfast, we feel
7:24
the ocean breeze, just of us, of us,
7:26
four friends, and we were just like kite
7:28
surfing. And I'm explaining
7:30
chat chat to BT to them, and I'm
7:32
like, I'm is insane. is I don't even know how
7:34
to explain how to I don't
7:36
know what an know is, October, is,
7:38
October 22, technically speaking. I knew
7:40
knew I knew I knew Act, I knew I knew I
7:43
don't know this I don't know this and
7:45
I'm like explaining to them why this
7:47
is different. So that's the first So that's the
7:49
first moment. the I had Deputy moment where I was
7:51
like, you know what, know what, I missed
7:53
the missed the book. What happens? Why Why
7:55
wasn't I working for for open air? What wasn't,
7:58
like, is this it? Is Is this game? them
8:00
over. Many of us asked
8:02
ourselves that question. People are still asking themselves
8:04
this question. And so that was the
8:06
first thing that happened, Catalyst. I've
8:09
already gone through that journey of a post -exit founder,
8:11
but I'm already coming to the conclusion. The only thing
8:13
I know how to do is build and I
8:15
want to learn. And so I get introduced to open
8:17
AI just to do
8:19
like one of those networking calls and they
8:21
tell me. We're drowning,
8:23
customers are asking us
8:25
for help. We're two, 300
8:27
people. We don't. We
8:30
can help them implement their own solutions.
8:32
We We don't have the bandwidth. So we're
8:34
looking for people, we're trying the big
8:36
firms. And it
8:38
was an idea they were giving me and I said,
8:40
I to do that. I
8:42
wanna do that. I don't know
8:44
anything about it. I've never used the
8:46
GPT API, but here I go. And
8:48
so they were like, are you sure?
8:50
They looked me up and they're like,
8:52
is this what you want to do?
8:54
And I said, yes. And so I
8:56
did consulting for them and I started
8:59
from the bottom, right? People were like,
9:01
who are you? I was doing some
9:03
support tickets for them, et cetera, explanations,
9:05
but then I started getting contract like
9:07
the MBA, you know,
9:09
Ticketmaster. I'm in Dubai talking
9:11
to customers, Red
9:13
Bull, and I'm just
9:15
having a blast with
9:17
the small team, implementing
9:19
agents, LLM apps in Clavio,
9:22
one of the customers
9:24
too. and
9:26
my My whole world changes, right?
9:28
It's like. This is The
9:30
dream as an engineer. to
9:33
build solutions that are this intelligent.
9:35
Okay. So come around to the idea
9:38
that you have this capability that
9:40
you're actually really inspired about. How did
9:42
you end up thinking about customer
9:44
success? Like, you sort of us a
9:46
line about what agency is and
9:48
then landing on that idea? Yeah.
9:50
mean, agency is
9:52
really the lessons learned in
9:54
all my prior four companies, right?
9:56
Startups, we know how to
9:58
like build products. we how to to
10:00
raise money, hire people, hire people,
10:02
build products. to We know how to sell
10:04
it. we know how to we know
10:06
how to market them, but I don't
10:08
believe we know how to take
10:11
care of our customers, especially in the
10:13
B2B. in I think managing customers, both
10:15
at scale, when you have tens
10:17
of thousands thousands of customers, thousands of customers, I I
10:19
don't think anybody has the answer to
10:21
do that, answer is something that happened in
10:23
the past 10 years. happened in the past 10 years. We're
10:25
struggling as as companies, right? right?
10:28
How'd you end up focusing on on CS?
10:30
Yeah, I ended I ended up working on on
10:32
CS because one of the One of the, one of
10:34
the customers that I started, I'm a
10:36
good friend with Andrew. So Andrew used to
10:38
work with me, a used to work with me, a
10:40
CEO of Clavio, Boston based company, of Claibio, success
10:42
IPO. I did, I did
10:44
some consulting for him. And one of
10:46
the ideas was, how do we help
10:49
ideas was how do we help scale the customer
10:51
Customer Success Organization, right? I drift,
10:54
I built in I built in 2019
10:56
the first was helping, how do we help but
10:58
now I was helping, Because he how
11:00
do we help customers of She has
11:02
hundreds of thousands of customers. So when
11:04
I So when I started solving
11:07
that problem, which was a little
11:09
bit of applying my experience between
11:11
marketing my experience between is when
11:13
I LLLMs, is when I amount of help
11:15
that we can provide as a company we
11:17
can provide help scale. to help
11:19
scale. benchmarking, reporting, inside generation,
11:21
idea creation to to to the customers
11:23
that they have at scale it's
11:26
something that that struggle right right, do
11:28
that in a very a very detailed
11:30
manner And so so that's kind
11:32
of where the idea was born
11:34
idea was was like was like, can
11:37
do this for all for all
11:39
B2B companies. What do you
11:41
think CS looks like like years from
11:43
now? It's not been a focus of
11:45
a lot of AI applications today. today. one
11:47
would argue that investors and
11:49
CEOs often don't think of it as
11:51
like super strategic. You You can be better
11:53
or worse at it, but does it
11:55
become much more powerful somehow? I I
11:57
think he has his everything. I I think
11:59
the worst. maybe is the the misnomer. think that's
12:02
where people are getting lost. I think,
12:04
I think, no offense, right? But, you know, VCs are saying, oh,
12:06
here's CS, here's a category. How many
12:08
software companies are in it? What's the
12:10
time? How much is the revenue?
12:12
Add up the valuations? Is that something
12:14
that we're interested in? I'm not
12:16
necessarily interested in CS, right? I'm
12:18
interested in customers. I've
12:20
been in the in CS, right? I'm
12:22
interested a customers. I've years. in the I
12:24
know that like the back
12:26
of my head, like I'm years for like
12:29
15 years. customer founder, All right? All
12:31
my companies, I'm the one who
12:33
services the And when I And when
12:35
I went to HubSpot, I
12:37
went from 20 customers to 5,000. And
12:39
I ,000. And I I crying call me
12:41
and they me and they would say,
12:43
Elias, me help Elias, me get on the
12:45
screen and help me fix the
12:47
product. product, help Hub HubSpot for me. And
12:49
I would say, me. I'm sorry, I
12:51
have I ,000 customers. customers. So the the
12:54
I where I stop servicing my
12:56
customers like they were the only one,
12:58
my soul gets gets crushed because
13:00
the company shifted, shifted, And so that's
13:02
what I want to solve today, right?
13:04
to that, it's not right? So I'm trying
13:06
to solve I'm trying to solve, is how Do
13:08
we service customer? How do we give? we
13:10
give the power, the the power, the
13:12
agency to the customer itself. like,
13:15
give you an example have I like to have
13:17
personal relationships with the business that I work. Ah,
13:19
yes, I work. Yes, much, much. Yeah. Right?
13:21
Like for for example, I have a I have
13:23
a guy I have to the winter I
13:25
have to right? And so I can so he has
13:27
a can text, he he has a
13:29
warehouse. for me, and I can his space for
13:31
me, and I can text him, he lives down
13:33
the street, and and he can come and pick me
13:36
up, we can take the car, drop off, and
13:38
he's super flexible to me, to my needs, my needs,
13:40
I'm in charge of the relationship. I
13:42
I go to my barber. I I just
13:44
booked two on Saturday for my
13:46
son and I. I, My second son says, can I
13:48
come? I come? And I said, you text smell
13:50
and you you say, say, if we can
13:52
if we can in. in. So
13:54
he smell and says, okay, I'll squeeze you
13:56
in in the in in the two in
13:58
the right? slots, right? so so I like that.
14:00
experience. Can we have that Can we
14:02
have that experience the like a a service now
14:04
Can you text, know, know, would say, it's like,
14:07
want, I wanna be able to provide
14:09
businesses of the future the ability to
14:11
put the customer in charge. to put the
14:13
at scale in charge. Yes, at scale
14:15
too. At with hundreds of thousands of
14:17
customers. of customers. the
14:19
essence. essence. Yeah, I I was
14:21
going to say, say I, this is is actually
14:23
something I believe very deeply about deeply which
14:25
is like, I do not want a
14:27
bunch of, of be conceivably very talented
14:29
people, like between me me the founders that I
14:32
you know owe I, you know, owe support
14:34
and partnership and work I don't have I don't
14:36
have any of the contacts, I don't
14:38
care as much as I do. as I
14:40
do and I think it's it's like you know not a you
14:42
know, not a great experience when
14:44
there's like four layers of people
14:46
who are passing around some but it
14:48
for a founder, but it
14:50
doesn't mean if doesn't scale if you're doing
14:52
it in a particular way. And I guess
14:54
that's true of many customer relationships relationships with
14:57
an owner of the product. I think you and
14:59
I are alike, alike, I want to disrupt how
15:01
startups work. I work. I break
15:03
the status quo, right? right? Which is
15:05
what you just said. said. You You
15:07
don't want four layers of people
15:09
between you and the founders, right?
15:11
right? And so the same same is
15:13
with me. agency, there's only There's only gonna be
15:15
one email address. address. Elias at agency, that
15:18
Inc. It's very dangerous, man.
15:20
man. will email. I will I will
15:22
always like take care of all the
15:24
customers, right? right? That's the the company of
15:26
the future of the future. I had
15:28
800 had 800 people, in like organization.
15:30
That organization. again That cannot
15:32
happen again Right? it
15:34
wasn't working. people didn't right solve
15:37
the of people didn't necessarily solve the
15:39
problem. every other that's something that every other
15:41
company is struggling with. to maintain so I
15:43
wanna maintain that relationship. And so the
15:45
only solution out of this is by
15:48
leveraging leveraging AI. I I want to talk a little
15:50
bit about how you think about company how now, about
15:52
both in the now, of AI the then also, AI
15:54
and then around. You don't want 800 people. You
15:56
say, people. You say I think I can get to
15:58
a billion. to a billion, you know. Is that is
16:00
that value? Is that revenue? I
16:02
think revenue Yeah, that's a
16:04
better one. Value is too It's too easy.
16:07
Yeah, okay, the gold move. It's a billion in
16:09
revenue. That's a good goal. It's a billion in
16:11
revenue. with hundred people. How do you not hire
16:13
the other 700 people? We have to
16:15
question everything. I'm a big fan of Elon, right?
16:17
I think I heard him speak about, like,
16:19
you know, he's just things about building a rocket.
16:21
And he says, well how much does it
16:23
cost to build a rocket, right? and instead of
16:25
just saying like, how much the parts cost
16:28
at the existing marketplaces, right? It's like, well, I'll
16:30
just build the part, right? It's like it's
16:32
a metal I think the same way, right? It's
16:34
like I have to produce something that has
16:36
high value. and and that is very rare,
16:38
right? There's two ways to make a lot
16:40
of money, right? billion dollars. You either have something
16:42
that a A lot of
16:44
small businesses can acquire for free,
16:46
right, with very little marketing in
16:48
cost Or you sell something that
16:51
is very, very expensive, right, to
16:53
enterprise customers. And so I'm picking
16:55
to choose something to solve very,
16:57
very, very big problems for big
16:59
enterprises. Second,
17:01
I think I want to challenge,
17:03
like Paul Graham says, do things that don't
17:05
scale. I think that that's game over
17:07
for that statement, right? I think now we
17:10
only have to do things that scale. I
17:12
already know all the things that I could
17:14
do before that not scaling I could always throw
17:16
a body at something and be like, okay
17:18
Let's you go do that. I think you said
17:20
it in a tweet recently, right? And an
17:22
ex and you're like, can we just hire an
17:24
intern, right? And then I think Pranab or
17:26
somebody says, well, we can throw Devin at it,
17:29
right? It's like, that's the thinking that we
17:31
need to have, right? Do not do
17:33
things that don't scare. I already know that they will
17:35
work for a year and then they're gonna break in a
17:37
year. I now have to
17:39
solve the things right from the first
17:41
place, right? What are the fundamentals, right? customer
17:44
intelligence, you know communication.
17:48
Understand the problem deeply, get pricing
17:50
right, get pricing better, build the right
17:52
relationships with the right customers. Who's
17:54
gonna take you there, right? You know,
17:56
I'm building a company at a
17:59
much faster speed. It's only been
18:01
a few months, few but I'm
18:03
already much further ahead than Drift
18:05
three years in, right? in, right? When
18:07
it he comes to understanding my passion,
18:09
what I'm trying to solve, to how big
18:11
the problem is. is, the the
18:13
market. my position my position
18:15
as a company, the team, the
18:17
engineering organization, the infrastructure, the
18:20
branding, the the marketing. I'm I'm moving
18:22
at a speed that I just
18:24
never felt before and it just
18:26
feels natural. natural. Partly because of of
18:29
AI partly because of my experience. of my
18:31
advice do you have for people do
18:33
you have for I think like who, reaction
18:35
is like, is if you can get to
18:37
you can dollars a revenue with only a
18:39
hundred employees, it's like, I wanna be a
18:41
of the hundred employees. employees, is like, I makes
18:43
those people valuable and special in their
18:45
work? Like how do I end up in
18:47
that last hundred? valuable and special for
18:49
something very deep right here, but up
18:51
in that gonna say I'm gonna say
18:54
as much as I can You're
18:56
care anymore. for something I... deep. Look, as a
18:58
as a founder, see I see founders all the
19:00
time doing this. By the the way, I was
19:02
part of three incubators this time around. I'd
19:04
never been part of an incubator part of my
19:06
fifth time. until And I got to spend
19:08
a lot of time with a lot of
19:10
first a founders. And it was amazing because he
19:12
gave me a little refresher of what I
19:14
was like. you know, the first
19:17
time around. like, you And so I see a
19:19
lot of founders of. of founders Keep making
19:21
so many mistakes in hiring. in I've
19:23
made them all them all too, too, right. too
19:25
many times you get excited, you meet you
19:27
they say the and they say the things like,
19:29
to work for you. I'm going to
19:31
make your company get to a
19:33
billion dollars in revenue, get to a know, dollars
19:35
faster than you think, you know,
19:37
they than you think. they're available all these they
19:39
give and they're available and they give these no longer
19:41
buy any of longer buy any of every
19:43
executive, every C C-level you can
19:46
think of multiple times. times. I have I
19:48
from the from the best companies. I
19:50
have hired people that went from
19:52
zero to 200 million in revenue
19:54
in four years. four years. I've I've hired
19:56
them all, I know them all. I'm I'm
19:58
much more disciplined in my interview process. and no
20:00
one no one joins until they
20:02
until they have me as a for me.
20:05
I'm as a contract. put you to I'm going
20:07
to put you to work. going to be I am
20:09
gonna be how exactly how I am with
20:11
everybody in the company today. And
20:13
if you don't deliver at a level that is,
20:16
that is world class in that one
20:18
that one or two frame,
20:20
frame. will be no room will be no
20:22
room for you, I'm And I'm focusing mostly
20:24
on engineers right now. Everybody has to
20:26
have a clear role of what they
20:28
do. what they do. very difficult to be
20:30
part of this be part right? 100, right?
20:32
on the other side then? What do you think is gonna
20:34
be the hardest thing about building agency? the The
20:36
building agency is building always, always
20:38
about product. always, always It's
20:40
always about always management. Everybody
20:43
thinks that, thinks just put
20:45
an put on it, on
20:47
some stuff, some stuff, a meeting,
20:49
a meeting, and... B-B-B-B-B- here's the the
20:51
next CR-M. Here's the next customer platform,
20:53
right? No, right? no, no, no, It's like like
20:55
Being in the in the weeds with a cut
20:57
product is the most is
20:59
the is the hardest part. part.
21:02
are solving one tiny part of
21:04
the problem. of the We still have
21:06
to build the products. products that solve a
21:08
solve a specific problem, the
21:10
solution, right? If everything If everything was
21:13
just it to the and it does
21:15
it, but we have to transform
21:17
organizations from very large organizations
21:19
struggling, it's a lot of chaos
21:21
There's a lot of chaos in the the post
21:24
sales organizations sales we need somebody
21:26
to go in and understand
21:28
them. to go Talk to them, nurture
21:30
them, to see what's broken. what's
21:32
broken, and transition into the the future,
21:34
right? It's not something, I've talked to
21:36
CEOs of public companies and no CEO
21:38
comes to me and says, I
21:40
wanna change everything right now. to Just
21:43
throw it away, let's swap it. it away,
21:45
so swap companies don't understand that change
21:47
management is the hardest part to
21:49
get through. is the Building a product that
21:51
people can use, gaining trust
21:53
from an LLM, I mean, people
21:55
are people are, people like, it's okay
21:57
if you get you get the summary of
21:59
a from. L.M. like like nobody cares, right
22:01
It's like like It's great. Look
22:03
at this. I can read faster read
22:05
faster but to to trust the output
22:07
of an LLM to send
22:09
an email to a dollar customer. it's
22:11
like you like, you know, when you
22:13
present that to a a to a CSM they're
22:15
like looking at it and they're like and
22:18
every word. they're questioning have no
22:20
idea. in questioning every word in that email. Yet
22:22
when they're writing their emails, they're not questioning
22:24
their words, right? And they're just as
22:26
bad. and they're it's like. it's
22:28
like Do we have a have a long road
22:31
ahead for this. This is, this is a problem
22:33
that that there's not It's
22:35
not one solution to it. right? This is
22:37
this is not LLLM or or one foundational
22:39
LLM is going to be able
22:41
to fix. to be able to fix. I
22:43
know, know. AGI will solve everything, but...
22:46
but whatever. I don't, it's I'm
22:48
not worried about that. I'm
22:50
really worried worried about what is
22:52
it is it that I wanna build? as
22:54
I listen to to the customers, To
22:56
my customers, And how
22:58
we're... How How do I take him where I want to take
23:00
him, to take do they want to come along in the journey with me?
23:03
to come I want to take
23:05
the last few minutes and
23:07
talk a little bit just
23:09
about few software industry, little because industry,
23:11
bit just about somebody who's been
23:13
building software for been years, you're
23:15
pretty anti -software now. Like,
23:17
as if now, quite dismissive of
23:19
quite I've just been putting
23:21
shit in databases shit it back
23:23
out. and taking it back out. Like explain yourself,
23:25
like what, do you think that's
23:27
irrelevant? People are like, oh oh my
23:29
God, like AGI is going to, you know, humanity. What's
23:32
gonna happen, right? to I'm telling
23:34
people like they're enslaved today. We
23:36
make fun of it, but fun wants
23:38
to be a sales rep? to be
23:40
You know, that after you know, meeting, you
23:43
finish a puts like a task to
23:45
remind you, to remind the customer customer to
23:47
do something else else, mean, it's just
23:49
like, I just I just think it's
23:51
utterly ridiculous that we just, like the
23:53
emperor has no clothes. Nobody wants to
23:55
say anything about this. this. Our Our
23:58
software is shit. Everything is... I mean,
24:00
mean, there's, there's no good software
24:02
out there. is great, right? you
24:04
need You need to go somewhere, you call it,
24:06
shows up, up, it takes you there, right? you there,
24:08
right? fantastic. So a one product
24:10
Delias likes. Elias likes, okay, just want
24:12
people to realize that to Why
24:15
do you why do you want all this information
24:17
in all the systems, and if it
24:19
doesn't do anything for you. For example, doesn't do
24:21
anything for you, I install CRM,
24:23
at I install Salesforce? I install
24:25
a CRM? Should should buy Salesforce? sales
24:27
force? is a is a monstrosity of
24:29
a software that I would have to have to
24:31
hire somebody else to go configure. And then
24:34
I don't know how then I don't know how to use it.
24:36
And then that person that is gonna configure it for me, do
24:38
you think that person knows how to do business better than
24:40
I do? do or knows my customers. I do
24:42
or knows my customers? They don't, and
24:44
so they're gonna tell me some antiquated way of
24:47
way of working with my customers and
24:49
what to do, and then I have
24:51
to hire people to put stuff into
24:53
the software. the software. And
24:55
And then I have to have people to
24:57
manage those people to monitor what they put
24:59
into that software. that At what point did
25:01
we talk to the talk to the customer?
25:04
I telling I'm you should just
25:06
throw away your instance of your instance
25:08
Throw it in the trash. throw it's the
25:10
trash. Like, is it doing for you?
25:12
We're just so busy configuring it and
25:14
sending data to it. And we
25:16
don't ever use the data that is in
25:18
it. data that is in it. And so, Software has
25:20
to transform to do things for
25:22
me. for me. without me
25:24
even asking. we are are in
25:26
the era where hey, Eliza, you're going
25:29
to speak in San Elias, you're going
25:31
to speak in San Francisco. of a jet blue a
25:33
calendar of under my on my entry into
25:35
my calendar. look at should read it. Let me
25:37
look at everybody that always asks you
25:39
to grab coffee in San Francisco and send
25:41
them a message, a I'm in town. town. And
25:43
I'm in in town from this day to
25:45
this day. day. And this is and lock out you know two hours
25:47
lots hour slots every day and say, me
25:49
if you want, meet me here. I'm gonna
25:51
be at this coffee shop and let's
25:53
catch up. up. Prioritize that my customers
25:55
my customers that I'm trying to chase
25:58
send send them two weeks in advance. messages
26:00
that are repeating every three days,
26:02
right? Why can't we we
26:04
have software that does that? That sells first to
26:06
you? useful, yeah. That sounds useful, right? It's
26:08
a, that's the level that we want. Like, you
26:10
know, so when you can text someone, it
26:12
just gets done. Like that's,
26:14
that's wealth, right? And so we
26:16
want software to, to make
26:18
us feel wealthy, right? Yes, I
26:21
don't, I do not feel wealthy from my software
26:23
today. Exactly, right? How
26:25
long does it take for
26:27
this to happen? Like Like, for
26:29
this disruption of, you know,
26:31
software that enslaves us to, to
26:33
free us So like, and does anybody
26:35
get to stick around? Like, does
26:38
anybody from the old world of
26:40
the databases holding? holding
26:42
our data and creating these
26:44
workflows get to. sustain? I
26:46
think there's a lot of infrastructure that
26:48
is needed, right? So that's, good news
26:50
for that, right? We have, we, we're
26:52
to need places to store this information.
26:55
We need the internet, right? I'm talking
26:57
at the solution level. The old wrappers
26:59
of databases are going to be dead.
27:01
Like, there's just no way they survive.
27:03
unless they adapt quickly. What we're missing
27:05
is more people like us at
27:07
agency where we're thinking fundamentally from first
27:10
principles and saying, let's build this
27:12
new type of software. That's,
27:14
that's word that we need to spread,
27:16
right? Is like I see all
27:18
these new CRMs coming up, right? And
27:20
they're like, it's still the same
27:22
views, the same tables, except they have
27:24
like AI computer table. We need
27:26
to fundamentally think software that is almost
27:29
invisible, right? I think that we
27:31
need more people thinking this way and
27:33
not just like, oh, let me
27:35
just improve you know, work day let
27:37
me just improve you know, Augusto
27:39
or this and just, we need to
27:41
be thinking how do we really
27:43
solve the customer problems from a different
27:45
perspective? Laziness, don't bother them. Don't
27:47
tell him what you're going do. Just do it. get
27:51
verification, right? As for suggestions,
27:53
learn with the customer what,
27:55
they're like, what they like,
27:57
and create that personalized experience.
27:59
We need... more to do do Once we
28:01
have examples of that software, which is what we're
28:03
doing at agency, at agency, I think more people are
28:05
going to see and say, to see that's where we
28:07
should go. we should go. because of the LLMs, a a
28:09
lot of people are going to be able to
28:11
build things much faster. things much faster. then the big rebuilding
28:13
will begin. I hope that happens. I
28:15
hope I get to be part
28:17
of some of these companies. I, companies.
28:20
of you know, these you said that
28:22
really speaks to me. I work
28:24
very hard, I have some very
28:26
I'm a very disorganized person. I'm a
28:28
And I felt bad about this
28:30
for I felt bad of the last two
28:33
decades. of the last two But But I if
28:35
you were more ambitious about the
28:37
expectations you'd had for software, had
28:39
you might say you why am I
28:41
filing why am I filing shit? labeling shit. Anyway, and
28:43
trying to force to some all of this
28:45
into some project management database framework
28:48
or whatever for coordination purposes. like
28:50
It feels like we should be
28:52
able to accept humans as they
28:54
are because I'm like, all right,
28:56
I am not that operationally disciplined,
28:58
but there are a lot of
29:00
people who don't want to be
29:02
organizing their data all the time,
29:04
just like me. so And so maybe
29:06
that'll be the better the better way. I
29:08
think you have incredible strengths, right? To to where you
29:10
are, where you are, to have a you
29:13
you have a chief, is is because
29:15
you're special and talented, right? The good The
29:17
good thing is that you don't need organizational
29:20
skills. a necessity, you know, it's not a
29:22
need know, you to a need for you
29:24
to become more successful than you are
29:26
today, right? thing The good thing is that
29:28
that's exactly what the the computer should
29:30
solve for you. you. I I hate doing,
29:32
I challenge everything. to If I don't need
29:34
to do something, like for example, when
29:36
I first came here, here, I'm terrible terrible
29:38
at writing in English, right? And then And
29:41
then every time, before came came out,
29:43
I would be like, I should learn
29:45
that skill. I mean, should learn that
29:47
skill. theory I mean, you know, you, you
29:49
know, that about the buckets that there's
29:51
like five levels of something mediocre and then really
29:53
then really bad and then really good,
29:55
that it it takes like 10 years to
29:57
shift buckets, you know, to to you be like,
29:59
to go from average. to like you know know, so it says
30:01
And so it says things on the
30:03
things where you only have to move
30:05
one level don't try to to be better,
30:07
one don't try to go from the
30:09
one that you're the poorest to the
30:11
top, right? you're And so at you're not
30:13
good at, the just let it be. And
30:15
the like AI should tell you everything my questions
30:17
should tell you everything, my questions, what
30:19
to ask me, prepare the finger and you
30:22
shouldn't lift the finger. But you can
30:24
do your magic and that's AI can do and you
30:26
AI can do that, you know, know because
30:28
it's you. you just to be clear,
30:30
I came up with the questions this time,
30:32
but in the future, but in the future, you know, I much
30:34
look forward to being told what to do with
30:36
the what minute before the actually setting my avatar.
30:38
It's going to be great. then you and I
30:41
can just get a beer and that'll be
30:43
it. avatar, it's going But be great. what
30:45
matters, right? It's the relationship, right?
30:47
It's the friendship. a beer I think this is
30:49
great. I think this is good. Okay. But One
30:51
shot, what matters, right? the whole
30:53
podcast. Thank you for the
30:55
It's the friendship. I think this is great.
30:58
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