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ElevenLabs: Building an AI Sales Machine & Why We Set a 20x Sales Quota

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ElevenLabs: Building an AI Sales Machine & Why We Set a 20x Sales Quota

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2677 segments

0:00

We had two employees that in February

0:02

had already achieved the entire fullear

0:04

quarter.

0:06

>> I'm so excited to welcome Carles Raina.

0:08

Carles is the CRO at 11 Labs, one of the

0:10

fastest growing companies on the planet.

0:12

>> Customer success needs to be a money

0:14

generation function for the business.

0:16

He's scaled the revenue org from zero to

0:19

over 350 million in ARR.

0:21

>> The role of a CRO is fundamentally

0:23

thinking about not the revenues today,

0:25

but the revenues of tomorrow. Let's do

0:27

the things that no one is doing. That is

0:29

what makes me passion and that is what a

0:30

good CRO needs to be doing because we're

0:31

not here to do easy stuff. This is a

0:34

masterclass in scaling sales in an AI

0:37

first world. It's like the fastest

0:38

product in terms of revenues that we've

0:40

ever had. It's just insane.

0:42

>> On top of that, Carles is also an

0:44

incredible investor with his own solo GP

0:46

fund BABA Ventures which has backed the

0:49

likes of Revolute and of course 11 Labs

0:51

in the early days.

0:52

>> If you want to do something, budget is

0:54

never going to be a problem. So what is

0:55

the problem? If you want to do something

0:57

and you're not allowed to, why would

0:59

that be? Ready to go.

1:12

Carlos, listen. I know a show is

1:14

successful when I get friends of mine

1:18

outside of tech be like, "Oh, love the

1:22

clip with Carlos." And I'm like,

1:24

"Really?" and they're like, "I never

1:26

thought that quota and sales comp would

1:28

be so interesting." And I'm like, "Thank

1:30

you, Sarah. I had no idea you were

1:33

interested in it." So, it was such a

1:35

successful show. I thought we had to do

1:36

a round two. Thank you for joining me,

1:38

man.

1:38

>> Thank you for inviting me. This is

1:39

great. I'm happy people were interested

1:41

in like sales

1:43

>> sales and sales comp according to that

1:45

clip, which again, now it's like 5

1:47

million plus views, which is insane.

1:49

Dude, I actually wanted to start on you

1:52

have now kind of led the way in a new

1:55

CRO charge. I think 11 Labs is probably

1:57

one of the most exciting companies on

1:58

the planet. You a CRO there lead the

2:01

way. Um are a generation of CRO being

2:04

left behind? Some of them yes but I

2:07

think I think it's fundamentally that

2:08

like the market has changed. The way

2:10

that we build companies today has

2:12

completely evolved. We can do deals much

2:14

quicker. But also like for me the key

2:16

item is like a deal can be done. you can

2:18

hire teams that like have a ton of

2:20

experience, but how do you think beyond

2:22

a single deal and think about like

2:24

distribution entirely, right? And I

2:26

think that's what we're thinking like

2:28

what we were actually missing in many

2:29

ways. Like yes, it's great to do

2:31

business development. It's great to like

2:32

think about affiliates. How do you think

2:34

about much more on a strategic level,

2:36

but also like able to execute um and for

2:38

me and those are the key components. How

2:41

do you embed AI in your entire

2:42

distribution component so that like

2:45

you're able to actually do more with

2:47

less, right?

2:47

>> What do you mean by that? Is that like

2:49

simply uh using artisan qualified Monaco

2:52

and having like AI SDRs do outbound for

2:54

you?

2:55

>> No, that doesn't work.

2:56

>> Good. Glad I suggested that.

2:58

>> It it doesn't work like and I've tried

3:00

like you're not hiring me, huh? Dodgy

3:02

start the interview.

3:03

>> No, you're fired.

3:05

No, but it's it's like I've tried a very

3:07

large number of like AI uh go to market

3:09

tools and they don't work and they don't

3:11

work because they see everything as a

3:14

transaction like the like if I was

3:16

building it and hopefully like some

3:17

people will able to actually use this.

3:19

If I was building an AI like um aentic

3:22

platform for sales, right? I'll be like

3:24

okay let's actually understand each one

3:26

of the core potential leads. What do

3:28

they prefer? Do they prefer to actually

3:30

be reached out over email? Do they

3:31

prefer to actually attend events? do

3:33

they prefer to actually like um have a

3:36

phone call and you can try to map some

3:38

of those components but what people put

3:40

on LinkedIn and social media right so

3:42

like that is the most fundamental

3:44

element but what we're actually seeing

3:45

on the AISDR front is that the majority

3:48

of these tools track everyone as if they

3:51

actually want to receive a message and

3:53

people hate it and you see like the

3:55

response rates on outbound uh emails has

3:58

dropped to the lowest at of any point in

4:00

time is like less than 0.01% 01% like

4:03

people getting message on LinkedIn is

4:04

like it's has skyrocketed and you can

4:07

perceive that is actually a

4:08

transactional email must send to

4:10

everyone or it was generated by AI that

4:12

doesn't work. So outbound is dead.

4:15

Outbound is dead unless you do it with

4:16

humans or unless you do it humanly. And

4:19

that's fundamentally the key item. I can

4:20

tell you like at 11 Labs I spent uh the

4:24

past two years plus trying to convince

4:26

uh the team to actually hire uh

4:28

engineers to actually help me build AI

4:31

agents for revenue for sales, right? Um

4:34

and it was only last year that actually

4:36

like they were like, "Okay, let's do

4:37

it." So we end up hiding people and we

4:39

end up building ISDR that handles

4:41

inbounds. Super good results. I have now

4:43

an AI proposals manager that like scans

4:46

the web for RFPs and RFIs and then

4:48

proposes scores and proposes things. I

4:51

have like an AI custom success manager

4:53

that fundamentally leaves in the back in

4:56

an email and essentially proposes

4:58

emails, looks at all of the data of a

5:00

single customer, all of the pricing

5:02

tiers and everything that we have in the

5:03

contract and then practively proposes

5:06

things. So when my AI customer success

5:08

my customer success manager goes in the

5:10

morning to check the emails that person

5:13

has a number of like drafts that the AI

5:16

has created and then that person can

5:18

change those draft to put it out there

5:21

and to send it back. We store what we

5:23

actually sent and what it was originally

5:25

created and what are the responses are

5:26

to actually fine-tune. So each one of

5:28

the customers ends up getting a slightly

5:30

different message with a slightly

5:32

different tone and if they speak other

5:33

languages then it's a completely

5:34

different language. that works and that

5:36

has closed deals for us already. We

5:39

generate money from that AI customer

5:41

success manager fundamentally because it

5:43

is humanly right. It's human if it's

5:45

perceived as human. So are we cutting

5:47

the size of our team if we can do so

5:50

much with these different AI agents? Our

5:52

sales teams of the future going to be

5:54

dramatically less.

5:55

>> I think like we will end up seeing the

5:56

fact that like um people are becoming

5:58

much more efficient. I think like the

6:00

goal for me at 11 Labs is like 50%

6:02

improvement in productivity. That's the

6:04

one that I want to do because then it

6:06

means that I can I can hire less people,

6:08

right? And that's fundamentally I prefer

6:10

to manage a smaller team that was get

6:12

super well compensated. Any upsells, any

6:14

contracts that the AI agent ends up

6:16

closing, I will pay those commissions as

6:18

if like a human actually closed it and

6:21

I'm very happy with that. But also that

6:23

means that like the people that we want

6:25

to retain and have are going to be

6:27

extremely top talent that are performing

6:28

at 11 that no one else is performing.

6:30

That has a consequence that is instead

6:32

of actually doubling my team or doing a

6:34

5x or doing whatever it is over the next

6:35

like two years, I end up hiring less

6:37

people, but they're very concentrated.

6:39

>> Totally.

6:40

>> That has an impact for sure in the

6:41

industry.

6:42

>> Totally get that. You you mentioned the

6:44

word commissions there. I'm really

6:46

intrigued. Like we see like Open AI

6:48

don't have commissions. It's like here's

6:51

your salary and then here's your equity.

6:53

And often people say sales people are

6:55

coin operated. You said that actually uh

6:57

last time you have a 20x Yes. um quotota

7:01

which is a lot higher than anyone else.

7:03

Um we interviewed the the head of sales

7:05

at Clay recently and they said theirs is

7:08

six to eight. Um

7:11

post20 what is the commission structure

7:13

and how do you advise me as a founder on

7:16

how to set the commission structure? I

7:17

mean I can tell you like we uh we like

7:21

we had two employees that in February

7:24

had already achieved the entire fullear

7:25

quarter.

7:28

Yes. And I I put a message in Slack

7:30

saying these two people have reached the

7:32

Mont mount Olympus of sales at 11 Labs

7:36

because in two months already like did

7:38

their quarter, right? And I think like

7:40

>> I mean this in the nicest way. Did you

7:42

not massively miss that quota then?

7:44

>> I don't think so. It's like I think you

7:46

need to put a a quotota that is

7:48

challenging but also fair. And if people

7:50

miss it fundamentally because it's too

7:52

high then you need to do the right thing

7:54

and then lower it or compensate them

7:55

correctly, right? But also sales people,

7:59

good sales people, they want to be the

8:02

best ones. They want to actually they're

8:03

move it by the coin. They're moved by

8:05

the fact like um like a big challenge

8:08

ahead of them. If you don't put that

8:10

challenge, they're just going to be like

8:11

slacking. They're just not you're not

8:13

going to get the best out of it, right?

8:14

And I think for me that's the key item

8:16

is like we say like, hey, you reach your

8:18

quota 100%. Fantastic. And then you

8:20

start unlocking accelerators to the

8:22

point that like I'm very happy like if

8:24

we sign a million dollar commission

8:27

check I'm the happiest person alive

8:29

fundamentally because like that person

8:30

did so much money for the business and

8:32

for our shareholders and for the rest of

8:34

the company that is an absolute

8:35

no-brainer. Again like for me it's like

8:37

for every $1 million in revenues that

8:40

any single person signs and I don't care

8:42

if it comes from like the SDR the

8:44

account exec the CSM or it's an engineer

8:47

that went all in and then managed to get

8:48

a contract. It's like every single

8:50

million has $33 million in extra

8:53

valuation for the company. If you put it

8:54

that way, it's a benefit for everything.

8:57

Like like some people get more equity on

8:59

the engineering side. Great. They

9:01

deserve it because they don't get

9:02

commissions. Fantastic. They were

9:03

popping up their entire value of their

9:05

stock.

9:05

>> When you get the accelerators, how do

9:07

you advise me on how to structure the

9:09

accelerators?

9:10

>> It depends. Like so the way we do it,

9:11

and I think it's fair, is like for every

9:13

single extra year, you get another 25%

9:15

extra commission on top of it. Um like

9:18

we start like 5% commission on any

9:20

anything that you sell and then we have

9:22

the accelerators

9:22

>> after your quota that is

9:24

>> no that is including your quota and then

9:25

after your quota yes additional like and

9:27

we have like a 1.1x 1.2x 2x, 1.3x, 1.5x

9:31

and so on, right? So the more you keep

9:33

selling above your quota, then you hit

9:35

those accelerators. But then we have

9:37

like accelerators for or spiffs

9:39

specifically for for uh for individual

9:41

products. So if we are incentivizing one

9:44

product because a quarter we want to

9:46

incentivize that product then we will

9:47

put an accelerator or a specific spiff

9:50

for that specific uh product and then

9:52

people even are more motivated on that

9:53

front. Do you find that always works

9:56

accelerators?

9:58

>> No. No. I think like like it's easy to

10:00

get hooked on spiffs on or like specific

10:04

incentives with and and lose the entire

10:06

the entire site of what you're trying to

10:08

do. If you put too many accelerators, if

10:11

you put too many incentives in one

10:12

place, you create the wrong behavior,

10:14

which is people try to sell whatever it

10:15

is to actually unlock it. For instance,

10:17

like we don't pay commissions on pilots.

10:21

No. Like because why? like it's not

10:23

adding to our valuation as a company and

10:25

because it's not adding to our valuation

10:27

as a company like the engineers, the

10:29

researchers, the ops people, the people,

10:31

no one is actually getting a boost in

10:33

their equity. Then why should we pay it?

10:36

Let's do the right thing and let's do

10:37

the complex thing which is like let's do

10:39

the pilot if needed. Let's convince the

10:41

customer that the metrics are there and

10:42

we're doing it really well and then on

10:44

top of that once we sign an yearly

10:46

contract or a two-year contract then we

10:47

pay the commission.

10:48

>> You pay on retention and expansion.

10:51

>> Yes. Yes. So, like first 12 months like

10:54

um you can close it year. It doesn't

10:55

really matter $50,000 or a million

10:57

dollars or $10 million, whatever you

10:58

want. And then anything that you like

11:00

that gets expanded over the next 12

11:02

months, you will get um commissions.

11:05

Great. And you can hit accelerators with

11:07

that and so on. If it's a strategic

11:09

account um and we have designation of

11:11

what is a strategic account. So for

11:13

instance like the top 20 or 30 accounts

11:15

in a given market depending how big the

11:16

market is then uh fundamentally then you

11:19

will unlock commission for two years

11:21

fundamentally um and we can change it if

11:23

needed right but um at a practical level

11:26

we found that that's like the first way

11:28

I will never forget one of the great CRO

11:30

saying to me on the show you do not ever

11:33

want your farmer going against someone

11:35

else's hunter.

11:37

meaning you're kind of cushy but super

11:39

nice CS enablement. Hey, like let's get

11:42

champions in your company kind of happy

11:45

um against someone else's allstar hunter

11:49

who is there to close your business. How

11:52

do you feel about that? True. And then

11:53

how do you think about then retaining

11:54

the hunter on the account? The hunters

11:57

are important, very important.

11:59

Specifically when you think about

12:00

distribution, you think about like

12:01

outbounds, inbound, you think about like

12:02

a lot of different pieces, right? Um but

12:05

at the same time a hunter that is not

12:07

well managed will create more damage

12:09

than actually like opportunities. So

12:11

let's say for instance you're trying to

12:13

close a company that is has multiple

12:17

comp multiple sub companies. Uh it's the

12:19

big holding company. we can use any num

12:21

name you would want right and then you

12:23

have a hunt that essentially tries to go

12:25

to each one of them but doesn't do it in

12:27

a very structured way like trying to

12:30

align what are the incentives for this

12:31

big account like then fundamentally you

12:33

end up having discrepancies of pricing

12:34

you end up having discrepancies like

12:36

what is the actual like uh the value for

12:38

them and then each one of them

12:40

discrepancies ends up coming back to

12:42

hunt you down essentially when you try

12:44

to renew the contract or the other forms

12:46

so like it is important to have them but

12:48

at the same time you need to have like

12:49

them in

12:50

together with the customer success. I

12:52

actually am a big believer of customer

12:53

success. I don't believe customer

12:55

success as a satisfaction or happiness

12:57

moment for customers. No, it's like

12:59

customer success needs to be a money

13:01

generation function for the business

13:04

that incent in works for the customer

13:06

but also works for the business to

13:07

incentivize growth, expansion, cross.

13:10

>> What What do you mean by that then?

13:11

Because I had Chris Dagnon on the show

13:12

who's like one of the all-time great CRO

13:14

Snowflake, you know, 0 to 4 billion or

13:17

whatever it was and he's like CS is

13:18

complete [ __ ] complete [ __ ]

13:20

You have professional services, pay for

13:21

it and we'll make you great. To what

13:23

extent do you agree or do you think

13:25

customer success is in the world where

13:28

like Snowflake grew up? Um like that

13:31

made sense in the world we are in today

13:33

with AI that doesn't make any sense

13:35

because fundamentally like anyone can

13:37

spin up a competitor of your product in

13:39

the next two days anyone. So

13:41

fundamentally like your customer success

13:43

you need to actually like go as deep as

13:45

you can as early as possible and try to

13:47

close it as as soon as as possible a

13:49

single contract and then your customer

13:51

success is the one that actually will

13:52

help you expand it uh uh quickly and

13:54

retain the customer. So if it becomes a

13:56

services business only where you're

13:58

charging for every single penny then you

13:59

become a transaction you're not building

14:01

a community you're not retaining of the

14:03

of the long term you should be

14:04

incentivizing them to actually like do

14:06

both things community trust and also

14:09

like incentivize the long term. So

14:10

that's why like I am I'm in favor of

14:12

charging for like services but in not

14:14

all the cases it makes sense

14:15

fundamentally totally

14:17

>> the game has changed.

14:18

>> Where else has the game changed? Where

14:20

else the old school CR is out of date

14:23

>> in general like you like one single

14:26

market going one market at a time it

14:29

doesn't work. traditional BCs like

14:31

they've like the traditional method has

14:33

been like oh you open one market you go

14:35

deep you win the account you show like

14:37

the value then you go to the next one

14:38

and then you go to the next one and so

14:40

on and this is like the [ __ ] advice

14:41

that like VCs have been giving like for

14:43

many years and I know like now it's

14:46

changing fundamentally because like hey

14:47

like the reality is like if you're going

14:48

to have 100 competitors um in the next

14:51

like month because you're starting to

14:53

get some traction or because of whatever

14:54

reason or everyone is thinking about the

14:56

same problem then going deep then go

14:58

opening one market after the other one

15:00

after the other one instead of actually

15:02

parallelizing and trying to do multiple

15:03

bets at the same time then it's just

15:05

counterintuitive.

15:06

>> Is that only enabled by a PLG motion

15:08

though? Like PLG motion allows you to do

15:11

multiple markets at the same time much

15:13

easier because if you have enterprise

15:15

motion you need you need everything from

15:17

SDRs to AES to CS in that place.

15:20

>> Why? No, not really. So for instance

15:21

like one of the and and I know like this

15:23

is going to be controversial but like I

15:24

think like all of the tech startups are

15:26

afraid to actually hire someone that has

15:28

had 20 years experience 25 years

15:30

experience and the excuse that they use

15:32

is like that person is not going to fit

15:33

the business and I think it's [ __ ]

15:35

I think it's full wrong. Right.

15:36

Fundamentally, someone that has 20 years

15:38

experience in sales and has been selling

15:40

for the past 10 years to the same like

15:42

financial services firms in the city or

15:45

in the US has so much wealth, so much

15:49

knowledge, they can propel the entire

15:51

business. Now, the question is like not

15:53

all of them are going to fit your

15:54

business, but a good portion of them if

15:56

they're still hungry and they still want

15:58

to actually do something that is

15:59

meaningful, they're going to fit really

16:01

well. that those type of profiles will

16:04

shorten your sales cycles because they

16:06

will join and be like, "Okay, now I know

16:08

the product really well. I have I know

16:10

the vision. I know how to properly like

16:13

pitch it. Let me call off my friends

16:15

that have been interacting and all of my

16:16

stakeholders that have been interacting

16:18

for the past 10 years, 20 years, and I

16:20

would just go directly to the sea

16:21

level." Dude, is that not a massive

16:22

misalignment of cultures when you think

16:24

about like the super young hungry raps

16:27

and then you're bringing in 50-year-old

16:28

Simon who's been selling into the city

16:30

financial services for years. The

16:32

biggest example is like Google in the

16:34

early days. You have like Sergey Bin and

16:36

Lar Page like together with Eric

16:39

Schmidt. Like that's amazing. A guy that

16:42

had ton of experience was really

16:44

successful ended up coming in and magic

16:46

happened. I think fundamentally like

16:47

both parties want to make it work. It

16:49

can happen, but you need to make it work

16:51

and you need to hire the right people

16:52

that will have like will be in the same

16:54

brain wave as you are.

16:56

>> Do you worry that people pull 11 lab so

16:58

much out of your hand that anyone could

17:00

sell it?

17:01

>> No, I don't think so. I don't think it's

17:03

that easy to sell, especially in this

17:05

environment. Of course, I think if you

17:07

have a big brand like an openi or like

17:08

an easy a little bit and

17:11

>> the nice thing about this being around

17:12

too is I can push back more. You can't

17:15

have a 20x squ and say it's not easy to

17:18

sell.

17:20

You can't have that much better people

17:21

than everyone else.

17:22

>> I I think you can. I think

17:24

>> your people are not I love you dude, but

17:26

your people are not 4x better 4x than

17:28

everyone else in market.

17:30

>> I do 100% believe that our people are

17:32

like 4x better like without thinking

17:34

twice. And I would take them to war. I

17:36

would go with to war with them. Every

17:38

single one of them. It's because like we

17:40

are tough on them, but also like they're

17:42

tough on us. Like they give us the the

17:45

feedback, the difficult feedback, and I

17:47

get it every single day. And I'm happy

17:48

that they give me the right the the

17:50

tough feedback because what we're trying

17:51

to do here and I've always believed and

17:54

grew up with the idea of like we're

17:56

trying to like find the ground truth and

17:58

what the ground truth means like today

18:00

means X tomorrow means something else

18:03

and the following day will mean

18:04

something else. So if you don't have

18:05

people that are constantly challenging

18:07

you and constantly thinking beyond what

18:09

they actually is happening today, you're

18:11

not going to be able to survive. Those

18:13

are the people that we hire.

18:14

>> Where are people challenging you where

18:15

you don't have an answer? Which market

18:17

should we be opening? Like how deep

18:19

should we go into like some of the

18:20

structure changes like the company is

18:22

going growing very quickly? Do we need a

18:25

uh global accounts team? So I'm already

18:27

thinking about the global accounts team.

18:29

When do we implement it? How do we

18:30

implement it? How do we motivate people?

18:32

Um like should it be 20x? Should it be

18:35

something else? Like um which product

18:37

should we be selling? Should we be

18:38

selling to competitors? Should we be

18:41

selling to resellers? So there is all of

18:43

those things like the team challenges

18:44

every single day. And I love it because

18:46

it's intellectually is stimulating but

18:49

also because it forces the entire

18:50

business to rethink our position every

18:52

single day.

18:52

>> So you would advise founders today to go

18:54

to as many markets as possible as soon

18:56

as possible.

18:57

>> Not as many markets as possible. I think

18:58

like you need to map out and have a

19:00

reasoning and a thesis of why that

19:01

market so that you cannot refer to that

19:03

and understand whether the market

19:04

conditions have changed and then you

19:06

have to actually like evolve your your

19:08

thesis. But for me this is like go to

19:11

market is similar to like investing in

19:13

in venture capital, right? you need to

19:15

test like a hundred things to actually

19:16

be able to find like the three, four,

19:18

five, six things that actually perform

19:20

and do really well. We do the same in

19:22

venture, right? We invest in companies

19:24

knowing and believing that all of them

19:26

are going to work and all of them can be

19:28

like a billion or trillion dollar

19:29

company and then we realize like [ __ ] it

19:31

not worked but I still have like three

19:33

or four or five that are going to be

19:35

working really well. Go to market is

19:37

exactly the same thing like test as many

19:39

things as you can not only in the

19:40

opening markets but also like do you

19:42

need to try like self? that you need to

19:44

try like working with resellers like

19:46

with partners with the cloud ecosystem

19:48

like with a grants program with an

19:49

affiliates program there's so many

19:51

things and opening markets is one of

19:52

those ones

19:53

>> what did you test that didn't work and

19:55

what did you learn

19:56

>> at 11 I've tested like endless endless

19:58

amounts of things and I absolutely love

20:00

it like for instance like media

20:02

entertainment in the beginning did not

20:03

work for us it just didn't

20:04

>> what does media and entertainment mean

20:06

>> so big brands like big uh entertainment

20:08

studios and the thesis was like they're

20:10

generating so much content we should be

20:12

able to actually sell to them and make a

20:13

ton of money on this. And the reality

20:15

was that like yes, they do make a lot of

20:17

content, but when you have like um an

20:20

industry that essentially like is very

20:23

heavily influenced by the public, the

20:26

audience, the quality they need to

20:27

produce like um like events, all of that

20:30

stuff, then potentially the industry

20:32

might not be ready for technology that

20:34

you're trying to sell. That was a big

20:35

learning. And we spent months and months

20:37

and months trying to break into the

20:38

entertainment industry to realize that

20:40

like we were not growing as fast as we

20:43

wanted. So we ended up pitching like

20:45

switching and having another ICP was

20:46

like okay let's work with media creation

20:48

platforms right that worked really well

20:50

for us and then we end up saying like

20:52

hey actually the wall is moving we had a

20:54

thesis around like the m the wall is

20:56

moving towards agentic systems how do we

20:59

also bring a product to market that fits

21:02

really well in the agentic wall and we

21:04

had a vision on that. So we ended up

21:05

working on that and today AI agents it's

21:08

actually fantastically huge for us

21:10

fundamentally because we had the vision

21:12

we bet we went early we started working

21:14

with partnering with like some companies

21:16

and that pan out really well.

21:18

>> You said the words not growing as fast

21:20

as you wanted. Now you're an ambassador

21:21

on the other side of the table.

21:24

You've seen how fast a company can grow

21:26

with 11 Labs. You've also seen with

21:28

Revolute to be fair to edge cases to be

21:32

fair. Well, you need those two education

21:35

business like that. That is the business

21:37

of Venture. My favorite thing with VCs

21:39

is when you get other VCs be like, I

21:40

don't know if Carles is very good

21:42

because like if you actually take out 11

21:44

L and Revolute, he's not that good. And

21:46

you're like,

21:47

>> yeah,

21:48

>> we'll have done four unicorns. That's

21:49

fine. Like, you know, okay, sure. Um,

21:52

but but my point is, has it changed how

21:56

you think about attractiveness in

21:58

company growth? I don't know. I think I

22:01

think you still need to have companies

22:03

that grow from one to four or from zero

22:05

to one and it takes them like 18 months

22:07

to get there. And I think that's

22:09

actually not bad. It's like just means

22:10

like you need to incentivize the

22:12

portfolio to be able to actually like

22:14

iterate and experiment as much as they

22:15

can because we don't know what's going

22:17

to work. And I think it is us like us

22:20

still even with new products that like

22:22

I'm I'm heading and I'm trying to get to

22:23

market. I truly don't know how we're

22:26

going to price it. I truly don't know if

22:27

it's going to work out. I'm just trying

22:29

to iterate. Is it going to take us a

22:30

little bit longer to get to like the

22:31

first million and the first 5 million

22:33

and the first 10 million. Fine, we have

22:35

the ability, but we need to iterate. And

22:37

I think it's exactly the same. At 11

22:39

Labs, we have like a business that grows

22:41

extremely quickly like we like smashing

22:43

it, all of that stuff. But at the same

22:45

time, we have like brand new bets like

22:47

are not generating any revenue. And

22:48

that's great, but it's bets that we're

22:50

doing for next year. So, I think like

22:52

the

22:52

>> What's the biggest bet you've got today

22:53

that's not generating revenue? Um, so we

22:56

we have we're generating a good amount

22:58

of revenue but like government work

22:59

fundamentally just like it's a tiny

23:01

portion of it and I think that's okay

23:03

because like the role of a CRO is

23:05

fundamentally thinking about like not

23:07

the revenues today but the revenues of

23:09

tomorrow. I'm already thinking like all

23:11

of this quarter I've already been

23:12

thinking like how do we put the pieces

23:14

together so that the 11 labs next year

23:16

grows even faster than this year because

23:18

I know this year we'll smash the

23:19

numbers. I have the right team. We're

23:21

going to continue hiring. We have like

23:23

the motion that we set last year. It's

23:25

going to grow really well. How am I

23:26

doing it for next year? Being very

23:28

creative so that I can start putting the

23:31

right bets. That's what being my quarter

23:32

this year.

23:33

>> You'll hit a billion in revenue by end

23:34

of year.

23:36

>> Who knows? Who knows? I I would love to

23:38

I would love to hit a billion dollars in

23:39

revenues by the end of the year. We have

23:41

some targets internally. If we we're

23:43

creative, we can do it. If not, it will

23:45

be a little bit later. That's fine.

23:46

That's absolutely fine.

23:47

>> Any big lessons on forecasting? It's

23:49

freaking hard to do.

23:50

>> Impossible. It's just impossible. like

23:53

we forecast and then we realize usually

23:55

that like we've like we would just like

23:58

>> but that's different. Traditional sales

23:59

leaders on the show for the last three

24:01

or four years cuz I've done

24:03

have been like oh I can pretty much get

24:05

there to to 3 to 5%.

24:07

>> Yes.

24:07

>> I'm like wow now

24:10

>> but it's impossible if you think about

24:12

it from an experimentation perspective

24:13

and I always tell my team like I want us

24:16

to test as many things as possible. I I

24:18

only need one of those ones to work

24:20

really well to give me another hundred

24:22

million dollars in revenues or 200 or

24:24

300.

24:24

>> And so when you say things, do you mean

24:25

like channels like affiliates, like

24:28

partners, like referrals or do you mean

24:29

like products?

24:30

>> Channels, products, ideas. Should we be

24:32

pitching services? And I was like in a

24:34

in a meeting with a CEO of an airline um

24:37

very recently in in a few days back and

24:41

we were talking about like agents and

24:42

all of that stuff and then at some point

24:44

he's like, "Pard like everyone keeps

24:46

pitching me. I get over a hundred

24:47

pitches every week of pitch like

24:49

companies doing like customer support.

24:51

Like I mean I don't want to have another

24:53

another pitch on that. And I was like

24:55

and you're 100% right. And I hate it.

24:57

Like actually don't get me wrong, we do

24:59

it and we do it really [ __ ] well. But

25:01

at the same time it's boring. Like the

25:04

majority of companies will start with

25:05

the bottom line optimization.

25:07

>> So what's boring? Customer support.

25:09

custom support optimization for me is

25:11

like yes your your mindset is like yeah

25:13

I want to automate increase a bunch of

25:15

percentage point my profitability so

25:17

that's where I'm focusing and that's

25:18

great don't get me wrong it is fantastic

25:20

what I'm actually interested is like how

25:22

do we figure out a way to partner with a

25:24

company and create a lapse area so it's

25:27

company X lapse right so that we can

25:30

figure out a way for them to generate

25:32

new revenue opportunities for them

25:34

that's what actually makes me passion

25:35

but that's we have to prove that that is

25:38

the right So that is one of the

25:40

experiments and I'm spending a lot of

25:41

time these days on like how do we prove

25:43

that the idea of labs for companies

25:46

where we essentially are their

25:47

consultants and help them build those

25:49

agents that will generate topline

25:51

revenue with new ideas, new products is

25:53

actually something that we can scale and

25:55

generate like hundreds of millions.

25:56

>> How do you think about the trade-off

25:58

between doing that where it's maybe a

25:59

little bit more low margin given the

26:01

fact it's quite hands-on? I'm thinking

26:02

like British Airways Labs where you have

26:04

amazing voice agents who call you up and

26:05

are very personalized. Give you tips on

26:07

how to enjoy New York with your wife.

26:09

>> Great, super nice idea. May get more

26:10

money from it. Boom. Versus actually we

26:12

can do it avatars and we can compete

26:14

with all the avatar companies.

26:17

>> Higher margin very adjacent product. I

26:20

don't know. I think like I would rather

26:22

do things that are actually much more

26:23

complex than the ones that are actually

26:25

like uh less complex. Uh I think we here

26:27

as like startups and and VCs to do the

26:30

difficult things. I don't believe in

26:32

like doing the short path like things

26:33

are actually like are much easier if

26:35

someone is doing it and someone is like

26:36

super good maybe we should be buying the

26:38

company great or maybe we should not we

26:40

should just partner with them fantastic

26:42

right let's do the things that no one is

26:45

doing that is what makes me passion and

26:46

that is what a good CRO I think needs to

26:49

be doing because we're not here to do

26:50

easy stuff I think customer support is

26:53

uninvestable stay and I get so much [ __ ]

26:54

on Twitter for this because everyone

26:56

shits on but I'm like Sierra and Dakon

26:58

obviously two market leaders in terms of

27:00

brand and yeah how much money they've

27:02

raised and you've got 16 providers

27:04

who've raised over 75 million in the

27:06

last 18 months and you've got all the

27:08

incumbents and your Salesforce and

27:10

Atlassian and then your intercoms and

27:12

Zenes and everyone in between OpenAI

27:15

will do a customer support product if if

27:18

they continue doing new products not

27:20

quite sure why that product road map is

27:22

uh maybe it was going to happen maybe

27:24

not anymore do you agree it's not

27:26

investable

27:28

I would not personally invest but I also

27:30

thing that like the opportunity for

27:31

companies that are like established and

27:33

growing a lot to go into that space is

27:35

good is is big, right?

27:37

>> Why doesn't 11 knobs do it?

27:38

>> We do we do custom support and the

27:40

majority of our customers starts with

27:41

customer support and we make an absolute

27:43

ton of money on that. Um and the ROI for

27:46

our customers that like use for customer

27:48

support is insane. Insane. Like what

27:51

percent of your revenues customer

27:52

support? Give it 20 30 40.

27:54

>> We don't we we don't share that. But I

27:56

think like it works really well. It's

27:58

like the fastest product in terms of

27:59

revenues that we've ever had. It's just

28:02

insane.

28:03

>> Um, but I also think like you look at

28:05

like all of our competitors like you

28:06

mentioned Sierra Deck Gone and all of

28:08

the other ones. We power all of them. So

28:10

we actually make money off like

28:12

literally customer support with our

28:14

agents platform but also we make money

28:16

from our API foundational model layer

28:19

across the board. So that's the good

28:21

thing about the labs that is like spread

28:23

so widely. How do you think about

28:25

empowering your competitors?

28:27

>> I I think like fundamentally like we

28:29

we've been very happy to actually

28:30

support the entire infrastructure layer

28:32

because we believe that like the

28:34

opportunity in the market was like way

28:36

bigger than anyone anyone was expecting

28:38

right boys and and and and interactions

28:41

with humans and human technology

28:43

interaction like it is the fundamental

28:46

piece that was missing in the entire

28:48

puzzle. Now you end up having situation

28:50

where like similar to I don't know like

28:53

a Nvidia that was like competing with

28:55

like powering everyone but also

28:57

competing with everyone right like I

28:58

think that's actually fine like it's

29:00

it's okay that the market is big enough

29:02

for multiple companies to coexist and

29:05

then try to target the same customers

29:07

I'm not going to deny it I think like

29:08

also means that like everyone needs to

29:10

be aware that that will happen so when

29:12

we launch our agents product I called

29:14

the biggest platforms agents platform

29:16

that were operating um in our platform

29:19

and I told them like guys FYI like in

29:23

the next couple of months we're going to

29:24

be launching our agents product we're

29:26

gonna be competing with you right just

29:29

wanted to make sure that like you're

29:30

okay with this I wanted to make sure

29:31

that like you understand that like we

29:33

are going to this space and the funny

29:36

part was like all of the founders that I

29:37

interacted with telling them this they

29:40

were like yeah welcome on board that's

29:42

okay right and it's good because like if

29:44

you're able to actually be transparent

29:45

with that and say like hey I'm going to

29:46

be competing with

29:48

But at the same time, I'm partnering and

29:50

in some deals you will win it and in

29:51

some deals I will win it and in some

29:53

deals we will partner together. That's

29:54

when you end up creating a good

29:55

ecosystem in parallel.

29:57

>> So I think you have to be unwaveringly

29:59

aggressive now on BD and sales because I

30:02

think you have an 18 to 24 month period

30:04

where CIOS CISOs are like AI we have to

30:07

have it we have to have a message for it

30:09

>> that won't last forever. Do you agree?

30:12

>> 100%. And our team is dedicated to that.

30:14

It's like everyone is like selling

30:15

agents left and right. We've had the

30:17

best quarter ever. It's been fantastic.

30:19

But people are incentivized to sell

30:21

agents because we know like we are

30:22

competing with other companies. And

30:24

sometimes those companies ends up

30:25

complaining to us being like why are you

30:27

competing with me when you're also like

30:28

selling me? But the reality is like hey

30:30

if I like you charge me like you pay me

30:33

like $1 $1 and I could be charging the

30:36

the end customer like or you're charging

30:38

the end customer $20 then I'm like I

30:41

mean maybe I'm doing something wrong

30:42

here as well.

30:43

>> I I totally get that. One of my dear

30:45

friends is Jason Lanin who built a game.

30:47

>> Yeah.

30:48

>> And he built a game and he used 11 laps

30:50

for the voice. And he was like, "It was

30:52

great. Amazing. It was such a beautiful

30:54

product. So amazing. So amazing. [ __ ]

30:57

It was expensive." And then people

30:59

started using it. It became even more

31:00

expensive. And he's like, "This will be

31:02

the year of substitution where you try a

31:05

great product like 11 Labs, it's

31:07

amazing, and then you go, oh [ __ ] it's

31:09

expensive." And then you substitute for

31:11

the cheaper, but 80% of it. Do you think

31:14

that's true?

31:15

>> No. I think like there was a lot of like

31:17

conversation last year and I actually

31:18

and I've I've evolved my mind on all of

31:20

these things but um and of course it

31:23

will continue to evolve right but um a

31:25

lot of people were talking last year

31:26

about like oh open source models are

31:28

going to take over like even on the AI

31:30

voices space like you're going to get

31:32

commoditized and so on and for a period

31:34

of time I kind of believed it. I was

31:36

like yeah I mean there is a point in

31:38

time like open- source models will take

31:39

over like it will be fully commoditized

31:42

great like we just need to continue

31:43

going deeper on the product integrations

31:46

full verticalization distribution all of

31:48

the stuff great and what I ended up

31:50

realizing is like even if open-source

31:53

models become extremely good at the same

31:56

quality level that we have like it is

31:58

the additional hustle it is the

32:00

additional components that like make it

32:01

very difficult for any organization so

32:03

if you're a bank already you might want

32:06

to play with the idea of what if I use

32:07

open source models. The problem is that

32:09

those open source models are not built

32:11

for the scale that you would want,

32:12

right? You would still need to maintain

32:14

them. You would still need to actually

32:15

make them operational. An 11 apps

32:18

actually takes that away from you. An 11

32:19

apps agent takes that away from building

32:21

the entire orchestration and managing

32:23

it, right? Everyone can be building

32:24

anything from scratch. It's just do you

32:27

have the time and do you have the

32:28

resources? And if the priority in the

32:30

company changes, are you going to be

32:32

able to continue adjusting and making

32:33

sure that you get the right funding in

32:35

there? And I don't think that is true.

32:37

And we're seeing it all around the

32:38

world. We're like, yeah, we could go

32:40

with open source models. Excellent. Do

32:42

it. You try to operationalize it and

32:44

they've lost 3 months and then they come

32:46

back.

32:48

So interesting. 11 lab is almost a bit

32:50

like open AI in the way that or

32:52

anthropic in the way that it's like it's

32:54

this foundational layer and you can go

32:56

in any strategic product direction you

32:58

want from that foundational layer

33:00

there's this LLMs yours is voice

33:03

and the question is will I be claified

33:05

so to speak and then there's a question

33:07

of will I be 11 labsified you can do SDR

33:11

agents with voice how do you think about

33:13

weighing that off in terms of where your

33:16

product direction goes

33:17

>> I think it's like It's it's an overoling

33:19

evolving question all the time and it's

33:22

it's like it's it's not that simple to

33:24

decide.

33:24

>> Do you have verticalized sales teams?

33:26

>> We have verticalized sales team right

33:29

now uh in specific markets, markets that

33:31

are much bigger or markets that are much

33:32

more mature. 100%. We have people that

33:34

only do like BFSI only teams that do

33:36

like uh healthcare.

33:38

>> What does it take to do vertical sales

33:40

teams and what have been your big

33:41

lessons on what mistakes people make? So

33:44

I will give you an example like in India

33:46

like I tried to implement vertic sales

33:48

team too early and essentially kind of

33:50

depressed the revenues for a single

33:51

quarter and it was like an absolute

33:53

disaster and then I realized like no

33:55

>> what happened there then you you divided

33:57

everyone and then it didn't work like

33:58

what happened

33:59

>> it didn't work because like a people

34:01

were not passionate enough b like it was

34:03

like a lot more like it needed a long

34:05

time to actually close like some of the

34:06

biggest sales and c like I I I like the

34:10

team was way too small and like if you

34:12

do it like early on if you segment and

34:13

too early then you fundamentally end up

34:15

like screwing things up. So what I

34:17

realized like I have this placeholder in

34:19

my in my calendar every single week that

34:21

is called pipeline construction and that

34:24

pipeline construction um it's like

34:26

similar to like portfolio construction

34:28

that you're familiar with but for me

34:29

it's like pipeline construction. Do I

34:31

take a VC term and put it in like in my

34:33

mindset? It's like how do I design the

34:36

perfect pipeline for any given market

34:39

and segment? And that that's when you

34:41

start thinking it's like actually you

34:43

need like the liquidity but you also

34:45

need the big whales. So each one of my

34:48

account execs needs to have the ability

34:49

of like closing big whales specifically

34:51

on the enterprise segment but also

34:53

having like liquidity in the pipeline so

34:55

that they don't lose the confidence

34:56

because people were losing the

34:57

confidence. So just towards me you have

35:00

pipeline construction. What's the next

35:02

subsequent step? You break out how many

35:04

sellers you have in that market.

35:05

>> Correct. So how many sellers? Let's say

35:07

we have 20.

35:08

>> Let's say 20 for any given market.

35:10

Doesn't really matter. I mean we have a

35:11

lot less than those ones.

35:12

>> Sure. Let's just say but like what do we

35:13

do then? 20 average deal size.

35:15

>> I look into the average DSLs. I look

35:17

into like what are the numbers of

35:18

companies in there?

35:19

>> What's the average deal size? 100k

35:21

>> depends on the market. Depends.

35:22

>> Let's just say 100K cuz it's easy for

35:24

our maths. 100K. And then we're like,

35:27

okay, if I need to hit, what's the math

35:29

we're trying to get to? I'm just trying

35:30

to understand.

35:31

>> So for me, the key item is like how many

35:32

companies are in that market? How many

35:34

like very complex enterprise in that

35:36

market? And how do I create enough

35:38

liquidity in that market to close deals

35:40

every single week so that the team stays

35:42

motivated and sees the challenges of

35:45

closing deals?

35:45

>> Have you ever had a situation where

35:47

you're like, [ __ ] the ramp I need to

35:49

get on my sellers to get to my quota is

35:52

too high. Yes,

35:54

>> I'm I'm not equipped enough to hit that

35:55

quota

35:56

>> 100%. Government vertical is one of

35:58

those ones where like we said, you know

35:59

what I like and it was one of the big

36:01

bets that I made this year was like I

36:03

don't care.

36:04

>> Why do government in the nicest way hard

36:07

sale cycles tough to get in?

36:10

>> You're crushing in other areas. Why do

36:11

government?

36:12

>> Um fundamentally because one is very

36:14

sticky. Number two is like it's a

36:16

benefit that we make to society. If we

36:17

can deploy agents for people to have

36:20

better interactions with like the actual

36:22

like government and government services,

36:24

it's an absolute no-brainer and I don't

36:26

care if I don't make enough money to

36:27

justify it or like I lose money. It

36:29

doesn't really matter to me. And then

36:31

the three is like it's a hard industry

36:33

to get in. So the moment you actually

36:35

get in, then it's just like you never

36:37

leave that industry. So fundamentally

36:39

like when you start mapping those things

36:40

out, you need to make the bets and one

36:43

of the some of those bets will pan out

36:44

really well, some other ones will not

36:46

like pan out that well, but it's like

36:48

literally portfolio contraction like how

36:50

quickly can I do some this some of these

36:52

sales so that I can spend time also like

36:54

like in the difficult ones and my

36:57

investors don't call me saying what the

36:59

[ __ ] are you doing? I'm going to fire

37:00

you. Right? And I think that's like a

37:02

fundamental of idea of like portfolio

37:03

construction and you do it at a like a

37:05

country level. Each one of the countries

37:07

that you actually want to be launching

37:08

and that is a completely different

37:09

concept than what the majority of like

37:11

CRO are actually thinking these days. If

37:13

you tap it into like AI agents for like

37:16

uh go to market and other pieces then

37:17

you have like something that is quite

37:18

unique for your business. So what did

37:20

you do in India then? You verticalized

37:22

too early, segmented too early depressed

37:25

for

37:25

>> we went back to zero. We went back to

37:27

like

37:27

>> horizontal.

37:28

>> Let's do horizontal. let's allow people

37:29

to do like much deeper and then we will

37:31

start segmenting again when the right

37:34

timing comes and what ended up happening

37:36

is like I would then we would then give

37:38

them like I would then give them like a

37:39

a name account list based on um and

37:42

negotiate with them based on like

37:43

fundamentally like how I was thinking

37:45

about like the portfolio construction

37:47

and and that worked really well like

37:49

lally we lost a quarter we end up

37:51

changing all of that from the ground up

37:53

and then you could see like people

37:54

starting closing deals in the first

37:56

month and it was like insane because

37:57

like it was day and night we had changed

38:00

the culture in the team in the local

38:02

market by getting it wrong. Let's go

38:05

back to the basics. Let's redo it from

38:06

scratch. Accept that we made a mistake

38:08

and then move on.

38:09

>> Does brand dramatically reduce

38:10

enterprise sales cycle when you can like

38:12

no offense 11 Labs in India I'm sure

38:14

like a year ago not actually a very big

38:17

brand.

38:17

>> No

38:19

versus in the UK and the US very big and

38:22

much easier. Does brand reduce

38:24

enterprise sales cycle?

38:25

>> Yes, 1 million%. And whoever tells you

38:27

no it's like just lying that is a fact

38:29

right and I think like the ideal

38:31

scenario is like no one gets fired like

38:32

the idea like do you remember like IBM

38:34

right it's like no one got gets fired

38:36

for actually buy buying IBM it's like

38:38

that is the ideal scenario for any brand

38:40

it's like literally you become the

38:42

safest asset in the block great it's

38:45

it's a long way I think like the two

38:46

companies that today have been able to

38:48

make it is or three companies if you

38:50

want openairopic

38:53

full respect for them cursor

38:56

The three of them I think for me are

38:57

like

38:58

>> K has killed enterprise unbelievably

39:01

well.

39:01

>> Yeah, they they've done super well and

39:03

it's fantastic. Like those are the three

39:05

like brands that are like blue cheap

39:07

organizations right now in like in in

39:09

the procurement like teams perspective

39:12

and IT teams perspective. It's

39:13

fantastic. It's great.

39:15

>> Everyone on Twitter, it's one of those

39:16

really funny ones where everyone on

39:17

Twitter is like and no one uses them

39:18

anymore. We use claw code. You're such

39:20

idiots. And it's like sure we're going

39:21

to HSBC in Hong Kong like or wherever

39:24

around the world like Barclay's Bank in

39:26

Swansea like I promise you they're using

39:29

cursor actually in their local dev shop.

39:30

Um

39:31

>> and which is great like it just means

39:32

like brand will help you solidify your

39:35

position but also you need to like the

39:37

bigger pro like

39:38

>> but also the stickiness of these big

39:39

enterprises like that's the also the

39:42

unwavering

39:42

>> and it's not that easy to get into the

39:43

big enterprises anywhere right it's not

39:45

that easy you've done it you you've done

39:47

it with like the portfolio companies you

39:48

know how difficult it is for them but

39:50

once you start getting into the motion

39:52

then fundamentally

39:53

>> as a venture capitalist I've I've done

39:54

it period I have I all of the companies

39:57

we invest in we basically found you know

39:59

we we do all the work Really? That's

40:01

exhausting.

40:03

>> Would you do it with LPS? So imagine

40:04

your LPs like it's exactly the same

40:06

content like your LP is like the big

40:08

>> multi-ell

40:09

I mean seriously multi cell cycle. One

40:11

of our biggest LPS was a six year sales

40:13

cycle.

40:14

>> Yeah. I'm not surprised.

40:16

>> Absolutely.

40:16

>> But how do you create enough FOMO? How

40:18

do you create enough brand to be able to

40:19

actually like reduce that six years to

40:21

like a lot less?

40:22

>> Yeah. Brand does that.

40:23

>> Exactly.

40:24

>> What percentage of your new sellers work

40:27

out? The majority of them

40:29

>> do they?

40:30

>> The majority of them. Yes. We're talking

40:32

about like our churn rate on the sales

40:34

side is actually not that big

40:35

>> really.

40:36

>> It's because like when I make an offer

40:38

um I tell every single person like 11

40:41

laps is going to be extremely difficult,

40:43

right? Extremely difficult. We are a

40:45

hard company to work for because we have

40:47

extremely high expectations. You're

40:48

going to work like a huge amount of

40:50

hours. I expect full commitment and and

40:53

people love it. So you end up filtering

40:55

out people that actually don't want to

40:57

have that type of life and I think

40:59

that's okay. And the

41:00

>> do you think it's possible to retain

41:01

that at scale? You get these soft

41:04

management people who are like oh no we

41:06

need to filter down the messaging. Do

41:08

you think that's possible at scale?

41:09

>> I think it is possible but it is

41:11

possible if you try to retain like a

41:12

smaller team and you implement the

41:14

latest technologies to actually like

41:15

become make everyone more efficient in

41:17

general. I think like of course like the

41:19

bigger the company then I think you get

41:20

softer but you look at what Mark

41:22

Anderson was saying the other day and

41:23

like companies are over stuffed by 25%

41:26

and even more right like of course there

41:28

is a trade-off between like over

41:30

stuffaffing and understaffing so like if

41:32

you understaff and people have like even

41:33

in sales or like revenue you have too

41:35

much pipeline they end up not closing

41:37

nothing.

41:37

>> How many sales people do you need to

41:39

hire this year?

41:40

>> We we we're about adding about like

41:42

another 120 people more or less. So it

41:45

will keep the entire sales team. What's

41:46

your sales team now?

41:47

>> It's 130 people. So, we'll keep it under

41:51

250.

41:52

>> Okay. But you're doubling sales team.

41:54

>> Uh sales uh doubling the sales team.

41:57

Yeah. Um and the sales is going to grow

41:59

much quicker than that.

42:00

>> Do you worry about that?

42:01

>> Yes.

42:02

>> And that that's a lot to bring on board

42:04

doubling a sales team.

42:06

>> Yes.

42:06

>> What are the pitfalls that you need to

42:08

avoid?

42:09

>> I mean, one is the dilution. Like if

42:12

you're not upfront about the

42:13

expectation, I think you end up diluting

42:16

because people come with different

42:17

expectations, they essentially like

42:19

behave in a specific way that is not the

42:21

way that you wanted. How many can you

42:23

correct it? I went to a company the

42:25

other day. Um but essentially there was

42:27

the sales leadership board of all the

42:28

reps and there were like seven reps and

42:30

six reps had between 5,000 and 8,000

42:34

points and just points just think that

42:36

and then the bottom one had 2,000 and

42:38

the net best one had 5,000.

42:41

pretty freaking clear this person is way

42:44

off. Do you just cut it there and then

42:46

or are you like give them time? It's

42:49

been a it's only been a month.

42:52

Yes and no. Like I think for us like all

42:54

of the stats are publicly open to

42:56

everyone. So everyone knows how much

42:58

revenues we make. Everyone knows like

42:59

each one of the reps.

43:01

>> Do you do you have a leaderboard

43:02

internally?

43:03

>> Yes, we do.

43:04

>> How does how do you do that to create

43:05

that competition?

43:06

>> Um so people like we post automatically.

43:09

We have a bot that actually will post

43:10

automatically into the sales channel

43:12

every single week a summary of like what

43:15

percentage of quotement year to date for

43:17

that specific quarter and all of that

43:19

stuff and the forecast

43:20

>> power basis

43:21

>> on a per basis. So anyone can see it

43:23

anytime and if you're at the bottom then

43:24

hey you're going to be able to see that

43:26

you're on the bottom at a practical

43:28

level for me it's like it's beyond that.

43:30

It's like that's one component, but if

43:32

you have someone that is like building

43:34

strategic accounts, then I'm not too

43:36

worried. If someone is actually building

43:38

uh like the right pipeline, I'm also not

43:40

too worried, right? But they need you

43:42

need to see the action. You need to see

43:43

like how many meetings are doing. If I

43:44

open a calendar and someone has a full

43:46

calendar that is empty, I'm like what

43:49

did you do this week? Do you worry about

43:52

demoralization

43:54

or losing?

43:56

I mean, dude, if I'm like, if I'm

43:58

looking at the report and it's like

44:00

Harry Bottom, next week, Harry Bottom,

44:02

I'm like, "Oh, fuck." You know, I'm It's

44:06

so mean. It's like public. You know, I

44:08

was the fat kid at school and it was

44:10

horrible cuz you had running races and

44:12

that you're losing in public was so

44:14

public cuz everyone could see how far

44:16

behind you were.

44:19

Something nice. Sales attracts a

44:20

different profile. Sales attracts the

44:22

people that are much more outspoken,

44:23

people that are much more extrovert,

44:25

people that actually want to do

44:27

something different, right? So by

44:29

definition, you don't go into sales if

44:31

you're not willing to take like the

44:33

harsh feedback. If you're not willing to

44:35

do

44:35

>> you think most sales reps are softer

44:37

today,

44:38

>> I think a very large portion of them are

44:41

because they don't have the environment

44:43

to actually like just push harder or

44:45

because they've already lost the passion

44:47

on that. They just want a normal job.

44:48

And that's okay. Don't get me wrong,

44:49

that's absolutely fantastically well. It

44:51

is not what I'm hiding for.

44:52

>> What's your tell for the obsessed that

44:54

wins

44:55

>> for me? Like you can get it very

44:57

quickly, right? Like people that have

44:58

extremely high energy, that are sharp,

45:00

that like are thinking quick and also

45:03

like there's other people that like will

45:04

be slightly opposite, but also like

45:06

they're going to be very very deep. And

45:07

it's like it might take them a little

45:08

bit more long like more time to actually

45:10

like get there and those are like less

45:12

obvious, but once they do it's just

45:14

insanely good, right? But like if people

45:17

are like sharp and they're energetic and

45:19

passionate and they come across as like

45:21

someone that really wants to win and you

45:23

can ask them like hey like pitch me 11

45:25

laps as if I was I don't know like a

45:26

fish whatever it is like it doesn't

45:28

really matter right like then you get a

45:30

sense of like how quickly they're

45:32

thinking and how passion they have like

45:34

how much passion how much actually um

45:36

like they research the company who are

45:38

they thinking all of that stuff like you

45:40

end up having in a in a very short

45:42

conversation like I don't need to spend

45:44

more than 20 minutes to know if um if I

45:47

want to hire someone or not. And I will

45:48

tell you like um the majority of times I

45:52

end up putting my feedback in uh in

45:55

Ashb. We use Ashby internally. I end up

45:57

putting my feedback in Ashb during the

45:59

conversation. By the middle of the

46:00

conversation, I have my feedback and I'm

46:02

one of those like crazy guys that like

46:04

write a lot while I'm talking to

46:05

someone. I hate when it gets recorded.

46:08

Um because then people end up behaving

46:10

in a very specific way versus actually

46:12

like being themselves. So I write a lot

46:14

when I'm while I'm interviewing people

46:16

and then I have my summary and in

46:18

parallel I'm writing and I'm doing my

46:19

summary and that's it and it works

46:21

really well for me. And why do you hate

46:23

the recorded element? So for me all of

46:25

our calls in the launch fund are

46:27

recorded because it's important for us

46:29

that we can share them and I can ramp up

46:32

without being in the room. My personal

46:35

take is like interviews like people

46:37

behave differently if they think that

46:38

they've been recorded versus if they

46:40

think that actually they have freedom to

46:41

say whatever they think is is best. In

46:44

sales we are always like ask everyone to

46:46

record it and we have like it's

46:47

mandatory for everyone.

46:48

>> You use gong.

46:48

>> We use gong and then automatically fills

46:50

out our like sales force and so we try

46:53

to automate as much as possible. And by

46:55

the way like Loable has the best CRM

46:57

that I've ever seen. Those guys have

46:59

really smashed it. Like shout out to

47:01

them.

47:01

>> Lovable CRM.

47:02

>> Uh yes. Like so lovable ended up

47:04

building their own platform where like

47:06

>> can you imagine if they didn't? I mean

47:07

that would be

47:08

>> we should be building our own platform

47:10

as well but like we're not.

47:11

>> Do you buy that? Do you buy the SAS

47:13

apocalypse of like you will customize

47:15

your own software entirely in the

47:16

future?

47:17

>> For summary is yes. Where will you where

47:19

will you not?

47:20

>> I think like for like core application

47:23

core things yes um so a CRM I would love

47:27

to customize it. I would love to

47:28

actually build it uh myself. Uh even

47:30

like it doesn't really matter. you can

47:32

you don't have to spend that much time.

47:33

It's just like um a pool of data. You

47:36

haven't

47:37

>> we haven't we haven't done it. Uh we use

47:38

Salesforce. Uh but for some other

47:40

applications like I mean why wouldn't

47:42

you do it? If it fits better in your

47:44

entire ecosystem of applications if it's

47:46

easy enough then then maybe you should.

47:49

Would I build an entire Google Drive or

47:51

a Gmail? No, I wouldn't. Like it

47:53

wouldn't make any sense. But for a good

47:55

amount of applications, for sure. If I

47:57

was like a procurement guy, I would be

47:59

building a procurement software for

48:00

myself.

48:02

>> So you think the SAS apocalypse is

48:04

overexaggerated?

48:05

>> I think there is a very large portion

48:06

that is over exch. But I think like

48:08

there is a a real fact that like people

48:11

will end up building their own

48:12

applications and I think that's that's

48:14

key. I think it's it's why not.

48:16

>> What would you like to do with 11 Labs

48:18

today that you're not able to do because

48:20

of lack of budget?

48:23

>> Oh, we've never actually like put any

48:24

constraints on the lack of budget. like

48:26

you if you want to do something budget

48:29

is never going to be a problem and

48:30

that's been since the beginning.

48:31

>> What is the problem? If you want to do

48:33

something and you're not allowed to. Why

48:36

would that be?

48:37

>> It's it might well be because um you

48:41

haven't proven with a test or

48:43

experimentation that that is the right

48:45

thing to do right now. Um so for me it's

48:47

like you want a budget, you want what do

48:49

you want 100K, you want 50K, you want

48:51

200K to actually prove that things do

48:52

it. Don't ask me for a million dollars

48:54

and ask me for like dedicate an entire

48:56

team to it. Don't ask me to actually

48:57

dedicate six months of your time to for

48:59

that specific thing. I'm not going to do

49:01

it. But if you do it on the side and

49:03

then you prove me that like you you can

49:06

actually make it work and I start seeing

49:07

some results, we will scale it and we

49:09

will give you all of the budget that you

49:10

want.

49:10

>> You're on the CRO and you said that it's

49:12

so interesting about kind of I want to

49:13

see the data before I scale it. You now

49:15

do paid uh and you do paid but you know

49:18

on an F1 car. Remind me of the team.

49:21

>> Uh, Audi Revolute F1.

49:23

>> How did you weigh up the decision to do

49:25

that when it's a big investment and you

49:28

had no data honestly to suggest it would

49:30

work? It took us a long time to actually

49:32

get comfortable with the idea. How much

49:34

does it cost? I mean, we we spending a

49:36

good amount of money like the budget

49:38

like we had a budget in mind that we

49:39

wanted to spend and we went to different

49:41

teams and we ended up negotating. We're

49:42

like this is the budget that we we we

49:44

have. This is how much we want to be

49:45

spending for year one, for year two, all

49:48

of that stuff. Um and and what are the

49:52

options? Um and then the major like all

49:54

of the teams that we spoke to some of

49:55

them were like no like for this no uh

49:58

and or like for this you don't get

50:00

anything. Uh and you don't even get the

50:01

logo. Some of them are like oh we'll do

50:03

all of this stuff and then we end up

50:05

like narrowing down to two teams and

50:07

then we end up negotiating with two

50:09

teams in parallel and then there was one

50:11

like which is ODA revolut like we were

50:14

very impressed. Um but it took us a

50:16

while to actually be comfortable with

50:17

the entire cont. Would you rather

50:18

premium branding on a worst team or

50:21

secondary branding on a number one team?

50:23

>> Premium branding on the worst team 100%.

50:26

You get more exposure and also like you

50:28

have a lot more creative freedom and

50:30

also you're betting. So the reason one

50:32

of the main reasons why we ended up

50:33

picking like Audi Revolute F1 is because

50:37

like if you look at the past the story

50:39

of like the history of like uh Audi is

50:41

like every single like sports

50:43

entertainment or sports championship

50:45

they've entered they've ended up winning

50:47

within 5 years and and that's fantastic

50:50

and like they're building the car from

50:51

scratch. They build their own like

50:52

engine. They build like everything from

50:54

scratch. They're competing with like all

50:56

of the big ones. And I'm a big Formula 1

50:58

fan, but they're competing with all of

51:00

the big ones. And I actually feel that

51:02

like this idea of like incumbents, like

51:05

very technologically driven with a a

51:08

really clear like mindset, drive, idea

51:11

to win and so on. It is who we are as a

51:14

company, 11 apps, but also is who like

51:16

who Nick and the team are at Revolute.

51:19

So it fits really well with your entire

51:21

narrative as a company if you try to do

51:23

it well. What was the biggest paid

51:25

marketing event that you did event slash

51:27

channel or slash activity that you did

51:29

that was a mistake and what did you

51:31

learn from that?

51:32

>> The majority of them end up producing

51:34

good returns. But like when I look at

51:35

like the ones from an enterprise

51:37

perspective that like have a better ROI

51:39

for us is like uh dinners like when we

51:42

do a dinner with like execs in a given

51:45

city that has the best ROI that um that

51:47

you could have. Um if I go to a trade

51:50

show the majority of them don't have

51:51

good ROI. How much does a dinner cost?

51:53

>> You could have a dinner with like four

51:55

like 15 people and cost you like 3,000

51:58

4,000 $5,000. Um, if you want to go

52:00

bigger, then essentially you need to

52:02

like shut the entire place and all that

52:03

stuff. So, you will have to spend more.

52:05

Depends on the city. Not the same doing

52:06

it in Mexico City or doing it in

52:08

Barcelona or doing it in London. But the

52:10

ROI is actually quite solid. But for

52:12

dinners, the benefit of the dinners is

52:13

like you end up imagine you're inviting

52:15

competitors, right? So, you're inviting

52:17

like competitors like different

52:18

customers you're trying to like to to to

52:20

to close. So like those guys are going

52:22

to know that you're actually talking to

52:24

these other guys. So there's a FOMO that

52:25

ends up being created in place and it

52:28

just plans out really well, right? And

52:30

because they know they they know like

52:32

it's usually the same ICP. So they know

52:34

like who is doing procurement, who is

52:35

doing like whatever, who's doing like

52:36

the sale, who's being like the CTO, who

52:38

is the chief AI officer, all of that

52:40

stuff, they know each other. That always

52:43

works really well. Um the worst like ROI

52:45

for us has always been like uh

52:47

conferences. It just there's no ROI in

52:49

there. What's the take away from that?

52:52

>> We should be spending less on those

52:53

things and should be building our own

52:54

events more.

52:56

>> You should be building your own events

52:57

more.

52:57

>> Yes, that's why we did like 11.

52:59

>> We did this insane 11 Labs event which

53:01

kind of reminded me of like some kind of

53:02

rock concert meet Steve Jobs kind of

53:05

event. Do you need to see ironically a

53:08

return on that or is it like

53:11

>> 100%. Like why wouldn't you like

53:13

>> it's always difficult to know?

53:14

>> No. like so you end up like having like

53:16

uh this concept of like uh influence uh

53:19

like revenue and then direct revenue or

53:21

like uh close revenue right so there's a

53:23

lot of like different variations all of

53:24

this that you can plan it and the event

53:26

that we run in London the 11 lab summit

53:28

in London was fantastic like we wanted

53:29

to prove that like a European company

53:32

can actually be running these big events

53:34

with like um like so many people um and

53:38

then like put up a show that actually

53:40

people get passionate and talk about it

53:42

and also motivated and presented We

53:45

presented some ideas. We presented like

53:46

we brought some like guests to talk in

53:48

front of everyone else. What is your

53:50

biggest tip for me if I I'm thinking

53:53

about one company in particular of ours.

53:54

I I uh solve intelligence amazing

53:57

business in London AI for patent

53:59

lawyers. They should do an incredible

54:01

event for patent lawyers specifically be

54:04

an amazing close-knit community. If you

54:07

were to advise, say them on you should

54:11

know this if you're going to do an event

54:14

for your customers, having done it so

54:16

well, what would you say that advice

54:18

would be?

54:18

>> Bring the right ICPS. Design the content

54:21

really well and think carefully about

54:23

the content that you won't want.

54:24

>> What's the what would be your advice on

54:26

the content? Design it well. What does

54:27

that mean?

54:28

>> It has to be like not salesy. I think if

54:30

it needs to feel natural like you should

54:32

do like a presentation about like your

54:33

company like some insights talk about

54:35

like the things that are coming next

54:37

your vision but if you make it to sales

54:39

and people will walk away and never come

54:40

back and I think that's the fundamental

54:42

trade-off like for me like this big

54:44

event like we talk a little bit about

54:45

the level app so Matty ends up doing

54:47

like like always the big speech the big

54:50

the big keynote but then after that for

54:52

me it's all about how do we put those

54:54

partners those companies that are

54:55

building in our platform or are using

54:57

our technology in front of as many

54:59

people as possible so that we learn

55:01

about them. And I I did my my I I did a

55:03

fireside chat with uh three amazing

55:05

companies like BCG and and Aturi and and

55:09

and and and connector. For me, it was

55:11

more about like how do we enhance their

55:13

appearance? How do we like talk about

55:14

like what are they building, what

55:16

they're using? It's less about Labs,

55:17

it's about like them, right? And I think

55:20

that's like you need to plan the content

55:21

in a way that like it feels less salesy.

55:24

You talk about it, but also you bring

55:25

partners to validate that what you're

55:27

doing is actually right. Totally get

55:29

that. You said they're partners. How do

55:31

you think about partnerships as a

55:33

channel at 11 Labs? Yes.

55:36

>> And what are the big misnomers that

55:38

people have around partnerships? There

55:39

is a concept that I really like that

55:41

we've actually done fairly well, I would

55:43

say, at 11 Labs, which is like the um

55:45

strategic partners. And that is

55:47

strategic partners like we put in that

55:48

bracket is like um companies that have a

55:51

CBC. And I know like this is going to be

55:54

controversial but like I actually love

55:55

CBC's like corporate venture capitalist

55:58

because they help you navigate big

56:00

brands. They are your champions

56:02

internally and their incentive is to

56:05

actually make it work really well for

56:06

the business. Just for people to kind of

56:08

understand that's like Salesforce

56:09

ventures that's

56:10

>> exactly like Deutsch Telecom uh like T

56:14

capital Capital which

56:15

>> I think have one

56:15

>> they all of them end up having one like

56:18

entity.com ventures like all of them

56:20

have like one of them but the good thing

56:23

is they know their business and they

56:25

were not sexy up until like a year and a

56:27

half ago two years ago they were not

56:29

sexy like like returns were not there as

56:32

we know right like CBC getting returns

56:34

is like really difficult um and they

56:37

were just like trying to like fight to

56:39

get a location in the best companies but

56:41

like it's just not possible. Today we've

56:43

proven with 11 lamp like we dedicated

56:45

time to actually partner with like Woven

56:47

Capital from Toyota with the Deutsch

56:49

Telecom guys with the Telefonica guys

56:51

with Liberty Global that actually join

56:52

our cap table all of those pieces like

56:54

that is a fantastic distribution

56:56

strategy

56:56

>> and so you get them to invest a small

56:58

amount and then you distribute through

57:00

them.

57:00

>> Exactly. And you essentially we we we

57:03

negotiate contracts with them and

57:05

essentially they end up like depending

57:06

on the situation you have one side or

57:08

another one.

57:08

>> Do they have to bring a certain amount

57:10

of pipe or promises to get a certain

57:12

amount of allocation?

57:14

>> Uh yes they do like we we are 11 labs

57:18

when nothing is free but I think I think

57:21

I like it because like it incentivizes

57:23

like the way I organized this this

57:24

concept initially. Um and uh and it was

57:27

so funny when I pitched it to Matthew I

57:29

was like really people are going to give

57:31

us money as a contract and I was like

57:32

like investors and I was like yeah let's

57:34

try right and I think like the reality

57:36

was that like you end up aligning

57:39

incentives like if their incentive is to

57:41

also only invest the their incentive is

57:44

only to invest but your incentive

57:45

actually to close a deal. So how do you

57:47

figure out something that works along

57:49

the way so that like you put end end up

57:50

saying you know what you will invest for

57:52

every million dollars that you want to

57:53

invest you need to actually like bring x

57:55

amount of revenues in the next 12 months

57:56

or 24 months whatever time frame you

57:58

want right and there has to be some

58:00

penalties and some consequence if that

58:02

doesn't happen that is the way that like

58:04

>> I'm sorry how do you actually that if

58:05

you don't bring it like we we strike you

58:07

less like is that possible

58:08

>> we buy you out

58:09

>> ah

58:10

>> yes

58:11

>> I think it works perfectly fine and then

58:14

everyone is incentivized and the logic

58:16

And I I strongly believe that is the

58:18

case. And that's how I pitch it to

58:20

everyone. It's like we want the best. So

58:23

if you invest in a million dollars in 11

58:25

apps and you bring a contract, you help

58:26

us close a contract, then your valuation

58:29

goes up. So you're making money from the

58:30

BC side, but also your business is

58:32

getting more efficient because he's

58:33

implementing 11 Labs. It's a win-win for

58:35

everyone. I totally get that. I think

58:37

the other thing that you also get is

58:38

like a public market messaging story

58:40

which is like we're closely partnered

58:42

with 11 labs a pioneer in the industry

58:44

and four large telecoms providers

58:46

wherever you are around the world or

58:48

whatever enterprise you are that helps a

58:51

lot 100%. But also like the the

58:53

beautiful side is like you end up

58:55

building like new products specifically

58:57

for them because then you get the like

58:59

the insight of the industry. So we went

59:01

into like the telco industry. We had no

59:03

idea about the telco industry. We've

59:05

actually learned everything about the

59:06

telco industry partnering with like KPN,

59:08

Deutsch Telecom, Telefonica, Entity, Do

59:12

all of that like really amazing brands

59:15

that like have been in the industry for

59:16

a very long time. We work very closely

59:18

with the W capital guys at Toyota. We

59:20

are learning a lot about the automotive

59:22

industry because they're in the cup

59:23

table. So, everyone is motivated to it

59:25

like in the same with like um like in in

59:27

in in in financial services. So there's

59:29

a number of things like or even going

59:31

into different markets like there's a

59:33

number of advantages of like having

59:34

corporate VCs in your cup table just

59:37

because you incentivize and you increase

59:40

your like opportunities of being

59:41

successful. What are the biggest

59:43

mistakes that you think people make with

59:45

partner ecosystems? I think people think

59:48

of them as like a a silver bullet. Oh,

59:49

we'll have a partner and then it's done.

59:51

I think you need to have people who

59:52

nurture those partners incredibly well

59:54

to teach them, train them, onboard them.

59:56

>> Yes. What would be some others from your

59:59

perspective?

59:59

>> It takes time. It takes [ __ ] long

60:01

time. Like and that is the reality is

60:03

like um if you're coming into like the

60:05

distribution side with partners uh or

60:08

you building entire partner ecosystem

60:09

thinking that you're going to be like

60:11

making another 20% of revenues like in

60:14

two quarters. You you're wrong. Like

60:15

that doesn't happen that way. You need

60:17

people dedicated to it. You need

60:18

incentives for them because people lose

60:20

interest and you need your incentives

60:22

for your own team. So initially start

60:24

using like SQOs uh sales qualified

60:27

opportunities or SQLs as sales qualified

60:29

leads to be able to actually track how

60:31

much volume has been generated and what

60:32

is the actual traction being generated

60:34

and then once you start having a solid

60:36

like motion in there then you start

60:38

tracking and move it towards like the

60:39

revenues. So each one of the SQOs needs

60:42

to be generating a certain amount of

60:43

revenues

60:44

>> other than letting them invest. How do

60:45

you incentivize your partners to push

60:47

you?

60:48

>> You have you can always and Salesfor has

60:50

done it extremely well. for me they are

60:52

the reference on this um is like they

60:55

built a partner ecosystem that like

60:56

where they get deals from like

60:58

Salesforce but also they send deals to

61:00

Salesforce right and in some cases like

61:02

in the markets where they cannot be

61:04

billing the customer they actually do

61:05

send the deal be like oh you're my

61:07

partner you will be billing the customer

61:09

and then uh I will build you

61:11

independently right that's fantastic

61:13

ecosystem to be building like how do you

61:15

think about the justification of rep

61:17

time across account and what I mean by

61:20

that specifically is Any company that's

61:22

very large could spend a large amount of

61:24

money.

61:24

>> Yeah.

61:25

>> And with PLG, everyone tends to start

61:27

small and then the hope is they expand

61:29

much bigger and bigger and bigger. How

61:31

do you think about what ACV is large

61:34

enough for reps to spend significant

61:36

time on trying to get it $1,000 a month?

61:40

Your when you start spending $1,000 a

61:43

month uh as a business, your brain

61:45

completely switches because you don't

61:47

want to put it anymore in your credit

61:48

card. And at that point, you start

61:51

believing like, [ __ ] I'm spending a lot

61:52

of money at that in there with that

61:54

software. I do have high expectations.

61:57

At that point, if you have emotion from

61:59

a sales perspective that is fast enough,

62:02

then it doesn't really matter. And

62:04

you're ready for a weird one. One of my

62:06

favorite sayings I've heard recently is

62:08

like fear is a mile wide and an inch

62:11

deep.

62:11

>> Mhm.

62:12

>> And you need to take the step to realize

62:14

it's not as scary as you think.

62:16

>> Yeah. Where have you thought the thing

62:19

was very scary and difficult where it

62:21

actually wasn't once you did it? I had a

62:24

very clear conviction that like at 11

62:26

Labs launching India was going to be

62:28

extremely difficult um and we might fail

62:32

and what I end up realizing is like I

62:34

didn't know enough the market to realize

62:35

like if you do it well you can make a

62:37

ton of money and also generate a ton of

62:39

us and generate a lot of ROI.

62:40

>> Do you have to send OG team members to

62:43

every market you open? No, but we do it

62:45

centrally, right? We always try to like

62:47

build um like a market like centrally

62:50

from HQ trying to close some deals so

62:53

that it is for free for me. It's free to

62:54

actually like deploy a single person on

62:56

the ground.

62:58

>> Sorry, how it's free to deploy a single

63:00

person on the ground

63:00

>> because like I'm already making

63:01

revenues. I'm profitable. I'm making

63:03

revenues in that market. I've proven

63:04

that like it is a market that is getting

63:06

>> So you only go into new markets when

63:07

you've already got a lot of customers

63:08

and you can see the PLG.

63:10

>> No, not on the PLG. I don't even look at

63:11

the PLG numbers. I don't I don't care

63:14

about those ones. I look at like what

63:15

are the enterprises, what are the

63:17

companies in that market, how is my

63:18

portfolio construction in that market

63:20

and how can I close some of those number

63:22

how some of those companies to get to a

63:24

certain level of revenues. At the moment

63:25

that I get to that certain level of

63:27

revenues for me, I've nailed like a

63:30

product idea that needs to grow and

63:33

needs to prove that like it can scale

63:35

and it can have like product market fit,

63:37

but at least I've proven that actually

63:38

can start selling in there. then that's

63:40

the moment that I actually I can get a

63:42

team on the ground.

63:42

>> What market are you not in today?

63:45

Geography or sector that you would most

63:47

like to be in.

63:48

>> Um we we are everywhere

63:50

>> these days like everywhere.

63:52

>> Everywhere. I have teams all around the

63:54

world. Some of them have been announced,

63:55

some of them have not been announced,

63:56

but we we have teams all around the

63:58

world. Yes.

63:58

>> Where are you weakest?

64:01

I think like in in general like we've

64:05

been weak in some of the languages um

64:08

and some and believing and that is like

64:10

entirely my fault on believing that like

64:13

you could sign contracts everywhere else

64:15

in the world everyone in the world

64:17

speaking English only and then you

64:19

realize later on that that's just not

64:21

possible and don't get me wrong like I

64:22

start I open like Japan by myself

64:25

without speaking Japanese.

64:26

>> Japan's hard.

64:27

>> It's really [ __ ] hard.

64:28

>> Japan's hard. My friend is Daniel Dyn

64:30

from UiPath and he he told me before how

64:33

hard Japan is a major market for them

64:35

now and it's phenomenally successful but

64:37

it's hard to spin up. It's really hard

64:39

and I started doing it like 2 years ago

64:41

going myself to Japan like constantly

64:44

and meeting companies and we started

64:46

generating motion. It was great and then

64:47

I hired my first rep San Wong doing a

64:50

fantastic job. He's like killing it. Um,

64:53

and then I hired the GM, Jim, and the

64:55

rest of the team. But like that that was

64:57

a really hard market and you could not

64:59

sell like in English everywhere else in

65:01

the world. But you could also like not

65:03

sign contracts that are always in

65:05

English. Like so if you end up having a

65:06

team that is mostly has mostly had

65:08

experience in the US, their belief is

65:10

that like it you can repeat that

65:12

anywhere in the world. The reality is

65:13

like you look at Latin America, less

65:15

than 5% of the population speak English.

65:17

If you want to open France and launch in

65:19

France, good luck if you're only going

65:21

to be speaking English, right? Um, good

65:23

luck if you don't offer like French law

65:25

in your contracts, no one's going to be

65:26

signing it, right? So, there's some of

65:28

these learnings that we've had that are

65:30

really, really tough that like we wanted

65:32

to actually sell in France and well, I

65:35

was not speaking French, then let's get

65:38

someone that speaks French, right? So,

65:39

there is some of those things that we've

65:41

learned by doing um that is my entire

65:43

fault, but it's also like part of the

65:44

experimentation. I think

65:45

>> if you think that stuff, Korea is

65:47

[ __ ] hard.

65:48

>> We are there. We have an office. Yes,

65:50

it's really, really, really tough. But

65:52

also like the benefit of Korea and

65:54

that's why I was saying earlier like you

65:55

need to have a thesis on why you're

65:56

launching in a specific market. But the

65:58

thesis on Korea was they produce a ton

66:01

of content. They're very innovative when

66:03

they want and they're producing products

66:06

and services not for the local market

66:08

but for the international market. So in

66:10

reality, yes, you need to be selling in

66:12

Korean, but the majority of your usage

66:15

will not be in Korean, will likely be

66:17

for the international market. So how do

66:18

you support and map those languages that

66:20

they care about so that you can target

66:22

those companies, at least for us, right?

66:24

Are you happy to be powering the decline

66:26

of Hollywood? And I don't mean that

66:28

horribly, but like the there was a

66:30

brilliant article the other day on the

66:31

permanent decline of Hollywood. And I

66:32

think it was a Wall Street Journal

66:33

article, but it essentially said about

66:35

the democratization of content creation

66:36

and what that's done to consumer

66:37

attention and hence the decline of

66:39

Hollywood that's producing less and less

66:41

content. You are in large parting that I

66:44

can paint a very positive case for

66:46

democratization, income equality,

66:48

equalizing content and also declining

66:52

Hollywood.

66:54

Is that a good thing? I I I don't think

66:56

that's how I would put it. I think like

66:57

I don't I think Hollywood is declining

67:00

in this model that they have today where

67:02

like very big budget productions that

67:05

require a ton of people that require a

67:07

lot of different things, right? And I

67:09

think they're going through a crisis,

67:10

but I actually think uh Hollywood will

67:12

come out like even stronger than this.

67:15

Um, and I think at the end of the day,

67:17

like it's like imagine that you get a

67:18

startup and the startup tells you like,

67:20

you know what, I need $100 million or I

67:23

need $50 million preede just for this

67:26

idea and then it's going to take me five

67:28

years to get it out. I don't know who's

67:31

going to buy it. I don't what are you

67:32

going to say? Like why don't you raise a

67:34

million dollars, right? That's going to

67:36

be like raise a million dollars, prove

67:38

like some points and then start going

67:39

there. And I think that's the problem

67:41

with Hollywood right now. I don't think

67:43

it's like AI voices. I don't think it's

67:45

AI video. I think those are like

67:46

additional solutions to make sure that

67:48

you're democratizing it and you're

67:50

reducing your cost of launching new

67:52

ideas to the market. But um and that is

67:54

going to be part of the solution. It's

67:56

actually why I find defense so hard to

67:57

invest in which is like it takes 5 years

68:00

and $200 to $250 million before you can

68:03

make your first dollar of revenue on a

68:05

defense product. Quoting from Matt Stman

68:07

who's the president CBO of Andreel. So

68:10

>> think he knows his [ __ ] Um, that's just

68:13

tough for me as like a seed venture

68:14

investor to get on board with that cost

68:17

curve to dollar game. Do you know what I

68:21

mean?

68:21

>> And that's the that's that's what needs

68:23

to change fundamentally like how do we

68:25

create content that is like takes less

68:27

money dollars to actually be created.

68:29

You start very slowly, but also then you

68:32

ramp up once you realize that actually

68:33

there is product market fit in that

68:35

content. And I've spoken with a lot of

68:36

studios over the past like three years.

68:38

I've spent a lot of time in in LA in in

68:40

the industry and my pitch always to them

68:43

is like hey let's try to create content

68:46

that like will capture capture people's

68:48

attention across like the channels that

68:49

they operate today and if it works well

68:52

let's scale it then you have the $50

68:54

million budget and I think like that's

68:56

where AI can benefit a lot but you have

68:58

and because like you can iterate a lot

69:00

you can create content that is

69:01

personalized you can create that is like

69:03

is engaged by people and then we were

69:05

talking yesterday about like this idea

69:07

of like cost per engagement. Why don't

69:10

we use exactly the same framework? How

69:12

much is the cost for every single person

69:14

that gets engaged in your content? And

69:16

that content can essentially expand to

69:18

be extremely high quality as you're

69:20

proving that like fundamentally the

69:22

dynamic changes, right? You you

69:24

mentioned a couple of times about also

69:25

investing as well, fantastic investor.

69:27

Obviously, we've invested a lot

69:28

together. Um should

69:32

more operators be investors at the same

69:35

time?

69:35

>> Yes. Yes. Yes. Yes. Yes, it should

69:38

always.

69:39

>> No, no, no.

69:42

>> But it should like my my my thinking

69:43

here is like it is because like in

69:46

founders want to be backed by other

69:47

founders. They want to be backed by the

69:49

best operators. They also want to be

69:50

backed by the best in investors. So if

69:53

you are like an operator and you are

69:57

willing to deploy time, not money, time

70:01

to help a company like navigate and try

70:03

to be successful. At some point you will

70:06

end up realizing that like why not to

70:07

actually do it from with institutional

70:09

money.

70:11

>> Okay? Because flip side when you take

70:14

institutional money it's a great

70:15

responsibility taking on other someone

70:18

else's money and you have already made a

70:21

promise to your employer that you will

70:23

devote your best efforts and all of your

70:25

energy to making them successful and the

70:27

company successful. If you're suddenly

70:29

looking at defense companies at seed,

70:31

you are not doing that job to the best

70:32

of your ability. I don't think so. I

70:35

think that you can do like both things

70:36

in parallel and one contributes to the

70:38

other one. Like I don't think there is

70:39

any conflict in there fundamentally.

70:41

Like I think

70:42

>> I don't think so. I think you can cuz

70:44

you have reached I'm I'm I'm your friend

70:46

but you've reached an ashong that you

70:48

can but I don't think otherwise. Like

70:50

honestly if I was one of your sellers

70:52

and like I was going home and in the

70:54

bath time reading about next generation

70:56

drone companies and the cost curve to

70:57

launch drone companies, you'd be like

70:59

dude your [ __ ] turf is France

71:01

and it's media. you could route that

71:03

instead. I would be saying that if I was

71:05

>> 100% and I I would understand it like

71:07

>> No, but I'm getting the best out of

71:08

myself by doing that.

71:11

>> But you know what? But the interesting

71:12

thing is like I think you you put it

71:14

really well in the other in the other

71:16

podcast which is like you are the

71:17

hardest working person in the office,

71:19

right? I am the same. And if you want to

71:21

do both things at the same time, you

71:23

need to prove every single day that you

71:24

are the hardest working person in the

71:26

office. like and I think that's when it

71:28

works fundamentally like you will work

71:30

really hard for the company but also you

71:32

will work really hard for your investors

71:34

and your LPs and I was when I was

71:35

negotiating my my LPA um with with my

71:39

LPS I mean we got stuck in one clause

71:43

you know like always you get stuck in

71:44

clauses and things like that and and

71:47

>> what was the clause

71:47

>> I can't even remember but like and I

71:49

remember like that clause which was like

71:51

for me was absolutely silly and I was

71:53

like pushing back and like for them it

71:55

was like core to to them. I was like, I

71:58

called my my my man LP, which is

72:00

absolutely fantastic. Like Synindana

72:02

Capital, they're really amazing guys,

72:04

but like I I remember calling them be

72:06

like, "Guys, like we need to get over

72:08

this. Like, if we are all [ __ ] if I

72:09

don't return the money and I don't do

72:11

all of these things, we're all [ __ ]

72:13

It doesn't really matter how we see it,

72:14

right? It's like it just doesn't really

72:17

matter. So, let's move on. Let's close

72:19

this thing. Let's make sure that I start

72:21

deploying the capital. Um, and then we

72:24

will celebrate. And if it doesn't work

72:25

out, I'm [ __ ] I'm accountable for all

72:28

of this. I lost all of this money. We'll

72:30

figure it out. But I don't think I will

72:32

lose your money. I think I will do like

72:33

a 10x and I'm happy with it. And we

72:35

ended up like moving on.

72:37

>> What fund would you be happy with? Like

72:39

what what do you say to investors like I

72:42

I would be very happy with the 10x. I'd

72:44

be very happy with the 6x. I'd be very

72:46

happy with a

72:48

>> um I think like for me is like the way I

72:50

I thought when I was raising a fund is

72:52

like I will be very happy at the moment

72:54

that I actually have seven unicorns in

72:56

my fund.

72:57

>> Seven.

72:58

>> It has to be seven. I'm not going to be

73:00

happy.

73:00

>> Seven.

73:01

>> I don't know. It's a number that I had

73:03

>> like David Beckham.

73:05

>> I don't watch football but like

73:07

>> soccer. Sorry. Okay. Well, he was number

73:10

seven which is why. Um, no, but I think

73:13

that's the key like like people that

73:15

like want to achieve something that is

73:17

different have a very clear idea of like

73:20

what is the actual like vision that they

73:22

have. Like who cares if you seed only?

73:25

>> I don't care.

73:26

>> You don't care.

73:26

>> I don't care cuz you do the A of 11 Labs

73:29

for 350K, you'll make a [ __ ] ton of

73:30

money.

73:31

>> Sure.

73:31

>> I did the preede.

73:33

>> No, again, no need to brag, mate.

73:36

>> It's okay. I got you. I got you. I did

73:39

the preceeded. No, but I think like at

73:41

some point like unit economics like also

73:43

matters, but also like I think it's

73:44

important to stay within your lane as

73:46

well, right? Like I get a lot of like

73:47

A's and amazing companies. I just it's

73:49

just not my area of expertise as a fund

73:52

uh investor and that's not when I'm

73:53

going to have a lot of fun as a as an

73:55

investor. I said no not for me. I love

73:58

like the scrappiness. I love the crazy

74:01

ideas. I love the companies like the

74:02

founders like no one to no one wants to

74:04

back them. I like those ones. I love

74:06

things that are like not uh not obvious.

74:09

We just did a deal together and it it

74:12

wasn't I mean for me it was very obvious

74:14

for your team it was like Kira and and

74:17

for you it was like pretty obvious but I

74:19

also like talked to a lot of other VCs

74:21

and they were like uh no like how is

74:24

this a no for you? I don't understand

74:26

it.

74:27

>> Those are the things that I really like.

74:28

>> My favorite though is that when we did

74:30

it then they had like 10 people call and

74:31

be like by the way super interested to

74:33

speak about the round.

74:34

>> Did you know that happens a lot?

74:35

>> No. No [ __ ]

74:36

>> That happens a lot. Oh, wait. So, you

74:38

were not interested a week ago and now

74:39

that you know that 20BC and are doing

74:41

it, then you're interested. [ __ ] you.

74:43

No, thank you. Unity econ

74:46

does it matter early. You said there it

74:49

does. A lot of the time with AI

74:51

companies, it's like inverted and like

74:52

actually if your Unity econ's good, it

74:54

almost means that no one's using your

74:55

product.

74:58

I don't think it matters in the early

74:59

days. I don't I think it's more about

75:01

like how do you get speed? But if you're

75:03

building an entire brand new market from

75:04

scratch, I think you have like a a power

75:06

of deciding the pricing and that pricing

75:08

will help you a lot grow quicker or like

75:11

will help you a lot in terms of unit

75:12

economics. So the key item is like are

75:14

you building something from scratch? And

75:15

if so, then you have like pricing power.

75:17

If you're not and you're only looking at

75:19

like building something that other

75:20

people already have, then you're going

75:22

to get screwed and then you will have to

75:23

figure out how to actually go deeper to

75:25

be able to charge more. What's your

75:27

single biggest advice for me? And

75:28

pretend I'm an operator at a company.

75:31

I'm a head of sales, I'm a head of

75:32

product, a head of growth. Any of the

75:33

kind of coveted people that you're born

75:35

on account table and I'm like I'm

75:37

thinking about doing more investing.

75:38

What would your advice to me be having

75:41

done all that you've done? Uh be

75:43

helpful. Like the money that you're

75:45

investing is not worth it. Like I mean

75:46

it's just not worth anything for any

75:48

company. Like if you put like a 5k check

75:50

or you put a 10k check or you put like a

75:51

50k, it's not going to make or break the

75:53

company. And you need to be very clear

75:55

that like in your mind that that's not

75:56

the case.

75:57

>> One of the most common ways companies

75:58

need your help. What's the number one

76:00

way?

76:00

>> Go to market. Hiring people like getting

76:03

>> sales sales hiring.

76:04

>> Sales hiring. Uh for me like I go into

76:06

customer calls with my my portfolio

76:07

companies. I absolutely love it. I do

76:09

intros for them. I I I asked them like

76:11

to send me like their decks, their

76:13

pitch, like record themselves pitching

76:15

and I give them feedback and I love it

76:16

because then I can figure essentially

76:18

what how potentially we can change it.

76:21

How like are we in the right market? Are

76:22

we not? Are we getting the right

76:23

traction or not? I absolutely love it.

76:26

And I think that's you can be helpful

76:28

with your portfolio companies in your

76:29

own way. Just forget about the money. Do

76:32

small checks. It doesn't really matter.

76:34

But

76:34

>> I always say do the same size check

76:36

every time. Do not do the whole, oh, I

76:38

think this one's great. I'll put 50.

76:40

This one I'm not sure. I'll do 10. It's

76:42

like, no, no, just do 25 every time. Or

76:45

whatever it is.

76:45

>> I think there's like different

76:46

variations and methods. I've not done it

76:48

in my life. uh I essentially as my

76:50

wealth kept increasing then

76:52

fundamentally I started doing bigger

76:53

checks and that's okay and you know like

76:55

like sometimes like of course we fool

76:58

ourselves saying this is the company and

77:03

you know how like the majority of times

77:05

that we do it like you end up getting

77:06

disappointed but we get disappointed but

77:08

also like we would do it again. What's

77:10

your biggest investing mistake? Um like

77:12

I've done a few investments where like I

77:15

was convinced on the market, I was

77:16

convinced on the founders but I did not

77:19

check how hungry they were to actually

77:21

like do go to market and um I ended up

77:24

finding out that like yes they were very

77:26

hungry to build product to execute but

77:28

they were not hungry and actually like

77:30

iterate on the go to market it.

77:32

>> How do you test hunger on go to market

77:33

specifically?

77:34

>> I think it's very difficult. I think

77:36

it's like for me it's like if uh in the

77:37

first conversation I want to understand

77:39

like how are they thinking about go to

77:40

market already? Um, and if they tell me

77:42

like, "Sorry, I'm just like I'm only

77:44

thinking about like building research

77:45

and doing all of these things." Like,

77:47

fantastic. I love your product. This is

77:49

great. It's fantastic your mindset, your

77:51

ideas. It's just not for me because then

77:53

you're going to be fighting with them

77:54

for like go to market. And I have a

77:56

bunch of my portfolio companies that

77:57

actually are like that. And it's great.

77:58

Don't get me wrong. They're doing super

78:00

well and I love them and I I'm as

78:02

helpful as I can, but at some point the

78:05

party ends. And if the music ends and

78:07

you're stuck without having a product

78:09

where you're monetizing it and you're

78:11

stuck with the idea that like we can

78:14

always make more money later on then

78:16

you're going to get [ __ ]

78:16

>> You can invest all of your money into

78:18

one company that you've backed. Which

78:20

company?

78:20

>> 11s for sure.

78:21

>> Obviously it can't be.

78:23

>> Okay. It cannot be 11. You can build

78:24

robots.

78:25

>> Yeah. Yeah. Um I love that there's a

78:27

company in in Spain called uh Tekk

78:29

Robotics. T H E K uh E R. Um they're

78:33

doing like robotics for like um like um

78:36

the manufacturing industry and like uh

78:38

like services industry and like sorry um

78:40

like warehouses and all of that stuff.

78:42

Absolutely the most geniuses guys that

78:45

I've seen in robotics space ever. Like

78:48

they're amazing. They're amazing.

78:49

Amazing. I would just dump all of my

78:50

money in there.

78:51

>> How quickly do you think you know a

78:52

company is good?

78:54

>> Like was it obvious very quickly that 11

78:57

of

78:58

>> Yeah.

78:58

>> Yes. Yes. 11. I mean you like I talked

79:00

to Matthew for 30 minutes and I

79:02

committed right

79:02

>> because like for me like you know one of

79:03

my best from fun one I think was linear

79:06

well it yes I knew Seora and it very

79:09

early and it all looked great but it

79:11

wasn't what it is today for a couple of

79:14

years actually it was it was a bit of a

79:16

slow burner do you believe in slow

79:19

burners anymore

79:20

>> yes that's absolutely fine like not

79:23

everyone learns at the same pace not

79:25

everyone like not everyone's market like

79:26

grows at the same pace and I think

79:28

that's okay Like life is not perfect.

79:30

Why would we want to have like perfect

79:33

companies in our portfolio? No, let's do

79:35

the tough things always. I think like

79:37

the reality is like uh for my my LPs I

79:39

always told them like guys we're going

79:41

to get it right and we're getting it

79:42

wrong like and that's okay like if I if

79:44

I invest in a founder that like it

79:46

doesn't work out and the founder wants

79:47

to do another company and I believe the

79:49

first time why not to do it the second

79:51

time. So like literally like you are

79:53

like trying to fall in the same place

79:55

multiple times. Yes. And I will because

79:57

I believe in people and I believe in in

79:59

like that they can do something that

80:01

they can do like learn from those

80:02

mistakes and execute and move quicker

80:04

and quicker and quicker. I think that's

80:06

okay. I'd love to do a quick fire. So I

80:08

say a short statement. You give me your

80:10

immediate thoughts. Does that sound

80:11

okay? Okay.

80:12

>> The reason I look kind of dazed and

80:13

confused there is I was trying to

80:14

remember this brilliant quote and it's

80:16

like what would you need to achieve to

80:19

be happy in 2026?

80:22

Oh, I mean for me like if uh if I get

80:25

three unicorns and 11 Labs crosses a

80:27

billion dollars in revenues, I would be

80:29

very happy.

80:30

>> Wow.

80:31

>> Three unicorns for the fund, I would be

80:32

very happy.

80:34

>> What's the single hardest thing for you

80:35

today?

80:36

>> Time. It's like it's

80:39

>> that's not an answer.

80:40

>> It is like

80:41

>> I love you, dear. It's not.

80:42

>> It is like it is I don't have the time

80:44

and I love

80:45

>> this is like a job interview. I work too

80:47

hard.

80:47

>> No, no, no, no, no, no. It is not. And

80:49

uh I I I think like the problem is like

80:52

if you don't have enough time for

80:53

certain things, then you're sacrificing

80:55

like like uh your partner, your like uh

80:58

your friends, all of that stuff. And

80:59

that's the hardest thing for me. Like

81:01

it's I choose to actually work um like

81:04

the amount of hours that I work and work

81:06

for 11 Labs and work for my funds and

81:08

for my LPs, but there's a choice and

81:10

then you're choosing to do things

81:12

putting aside all the things that are

81:14

also equally important.

81:15

>> What's your escape? plants like um like

81:18

gardening. I absolutely love it. I talk

81:20

to my plants. I have so many plants at

81:22

home. I talk to them all the time. I

81:24

water them. I like I take like small

81:26

scissors and I ch ch ch ch ch ch ch ch

81:27

ch ch ch ch ch ch ch ch ch ch ch ch ch

81:27

ch ch ch ch ch ch ch ch ch ch ch ch ch

81:27

ch ch ch ch ch ch chop them like it's so

81:29

nice. I really like it. And that's when

81:31

I'm really stressed when I don't

81:32

understand like how to fix a thing. Then

81:34

I start essentially like I spend an hour

81:36

or two hours like looking after my

81:38

plants. I can like spend time like

81:39

looking at them and not doing anything

81:41

just talking to them. That gives me back

81:43

energy.

81:44

>> [ __ ] weird.

81:47

It's very very strange.

81:49

>> No, no, there's no such thing as

81:50

strange. I think we all need to be a bit

81:51

more strange. Um, what is the thing that

81:55

makes Matty so good?

81:56

>> What makes him so good is like I think

81:59

his ability of listening to people and

82:00

then making a decision um regardless of

82:04

whether he gets it right or wrong and he

82:06

will acknowledge if he got something

82:08

wrong and then change it immediately.

82:10

And I think that's what I really value

82:11

because like you get CEOs that will tell

82:14

you like most of the times I need to get

82:15

it right and then make some mistakes in

82:17

there. And I for me the it's actually

82:19

the opposite. It's like you should be

82:21

always getting it right or like 99%

82:23

right in like 5% of the things that are

82:25

really mega important like in the 99 95%

82:29

remaining things you should be getting

82:30

it mostly wrong. And I think that's what

82:33

Matt is trying to do and he's very

82:36

successful at that like allowing people

82:37

to like experiment and get it wrong and

82:39

then push back but also run with their

82:41

ideas and if there's a thing that he

82:43

believes like it is like fundamentally

82:45

like it needs to happen in a specific

82:46

way he will say it and he will live it

82:48

and everyone gets to needs to be aligned

82:50

and he has that ability of like

82:52

combining both things in different

82:53

moments in time and it works really

82:55

well. We've seen it at the levels.

82:56

>> Final one for you. What are you most

82:58

excited about when you look forward to

83:01

the next 24 months?

83:02

>> I am actually looking forward to the

83:04

next wave of foundational model

83:05

companies.

83:06

>> Huh? What the

83:07

>> Yes. What?

83:08

>> I I I I believe that like there is a

83:10

brand new wall of opportunities that

83:12

we're unlocking or that is going to be

83:13

unlocked with a new wave. And

83:14

>> whoa, wait. You're looking at next

83:16

generation of open AI.

83:17

>> Next generation of open AI. But I do

83:19

actually think like OpenAI and Antropic

83:20

will end up and and Google will end up

83:22

buying and 11 Labs will end up buying

83:23

like all of the new foundational model

83:25

companies that will be popping up and

83:27

creating research and paying just like a

83:29

few billion here, a few billion there

83:30

and like just swapping them in. Um, but

83:32

I think like it's actually

83:33

>> would you rather buy Open AI at 8:30 or

83:36

anthropic at 500?

83:38

>> Anthropic.

83:40

And I've put it online like multiple

83:41

times. I think like I love Open AI,

83:43

don't get me wrong. They're amazing

83:45

pushing the boundaries, but I really

83:46

like how

83:47

>> Do you think they are? They still

83:49

>> I think they're still like pushing it

83:51

and I think that like they're trying to

83:53

do thing like good things for the world,

83:55

but they were spread too thin. Um and I

83:58

think it's the the problem like even us

84:00

at the level that we're facing and open

84:02

is facing sorry anthropic is facing

84:04

everyone is facing like then when you

84:06

start being very successful you want to

84:07

do too many things and then you end up

84:09

like getting too stretched and then not

84:10

doing anything correctly right it's like

84:12

how do you do less and then doing it

84:14

really well

84:14

>> but do you not think that it's been

84:16

stretched too thin for too long and the

84:18

anthropic acceleration has been too

84:20

great

84:21

>> yes they need to start from scratch and

84:22

for me the key item is that like how do

84:25

they start building the experimentation

84:27

thinking like yes, we're still number

84:28

one. We make all of this money, but at

84:30

the same time, like let's go back to the

84:32

basics.

84:32

>> What do you use?

84:33

>> Antropic. I use CL.

84:35

>> Yeah. And I'm I'm very happy. Like

84:38

Claude is my best friend. Like it's it's

84:41

actually true. I use it all the time.

84:43

>> What do you personal and everything?

84:44

>> Personal like fund 11 laps, everything.

84:47

>> Biggest advice to someone who hasn't got

84:49

it set up who needs to? Oh, probably I'm

84:52

the worst one of all of them. But like I

84:54

mean I like the cloth skills for

84:56

instance and all of that. Like it's it's

84:58

really amazing. But I see some of my

85:00

like uh like uh team members and they're

85:02

like they've just nailed it. I'm just

85:03

like an an amateur. They're

85:05

professionals at all of this. And I

85:07

would love to actually be like, you know

85:08

what, [ __ ] all of this. I'm going away

85:11

for an entire month and I'm going to be

85:12

a pro at all of this stuff. I would love

85:14

to do it and hopefully one day happens.

85:17

>> Dude, I've so enjoyed this. Thank you so

85:19

much for putting up with me. You've been

85:21

fantastic and I actually preferred the

85:23

second time if I can say that.

85:25

>> Really? Yeah. Nice. Good.

Interactive Summary

Carles Raina, CRO at 11 Labs, discusses scaling sales in an AI-first world, emphasizing that customer success should be a money-generation function. He highlights the role of a CRO in planning future revenues and the importance of experimenting with distribution channels. Carles details 11 Labs' innovative use of AI agents for inbound sales, proposals, and customer success, aiming for a 50% productivity improvement and a smaller, highly compensated top-talent team. He explains their unique commission structure, high quotas, and the value of hiring experienced sales professionals. The discussion also covers market expansion strategies, the impact of brand, lessons learned from market entry failures, and the strategic use of corporate VCs for distribution. Carles shares his views on forecasting, customized software, and his personal approach to balancing his operator and investor roles.

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