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Blake Scholl: How 50 People Built a Supersonic Jet

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Blake Scholl: How 50 People Built a Supersonic Jet

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1302 segments

0:07

I want to start by saying Houston,

0:12

we have a problem.

0:14

In 1969,

0:16

we landed on the moon for the first time

0:19

and the same year we flew Concord, the

0:21

faster than the speed of sound airliner.

0:24

The future was supposed to be faster and

0:27

better. where we're supposed to look

0:28

forward to innovation in air and in

0:31

space. And yet, half a century later, we

0:35

can't go to the moon and we can't fly

0:37

faster than the speed of sound. And not

0:40

only have we lost the ability to go

0:42

fast, we've lost the ability to do

0:45

things even at any kind of reasonable

0:47

speed. This was the Wall Street Journal

0:49

just a couple weeks ago. It now takes

0:51

Lockheed more than two years to build a

0:55

new Patriot missile interceptor.

0:58

This is crazy. This is no way to build

1:00

the future and this is no way to win a

1:02

war. If we look back at history, this is

1:06

the Boeing 707. This is the airliner

1:09

that brought us into the jet age. But if

1:12

we fast forward half a century, this is

1:14

the 787, their latest airliner, which by

1:17

the way was launched more than 20 years

1:19

ago. You can't spot the difference. It

1:22

doesn't fly any faster. It doesn't make

1:24

the world any more accessible.

1:27

Prior to boom, the closest the America

1:30

ever got to a supersonic airliner was a

1:33

mockup.

1:35

But I guess it's all okay because

1:37

flying's really great, right?

1:40

But for me personally, there is nothing

1:43

so moving as flying. Think about that

1:46

experience of going down the runway, of

1:48

gathering speed, rushing to hundreds of

1:51

miles per hour, then climbing into the

1:54

sky, having this thing that we call a

1:55

bird's eye view, but it really is a

1:58

human's eye view in nearperfect safety.

2:01

Being able to look down at the beauty of

2:02

the natural world, as well as the beauty

2:04

of everything that humanity has created.

2:06

We get to ride aboard the wings of

2:09

Newton and the Wright brothers while

2:11

taking in the creations of Edison and

2:13

Rockefeller.

2:15

Yet flying, which would should be one of

2:17

the most inspiring experiences we could

2:19

ever do, we've turned into something

2:21

that most people dread.

2:24

But if we look back in history, it

2:26

wasn't always this way. Those first

2:29

jetliners truly did double the speed of

2:32

what had come before them. And was they

2:34

doubled the speed of air travel, the

2:37

most important changes were on the

2:38

ground. Hawaii was simply not a tourist

2:42

destination before the speed of the jet.

2:44

It was the ability to get from the US to

2:46

Honolulu in seven, eight, nine hours

2:49

that turned uh Hawaii into a mainstream

2:52

tourist destination.

2:54

Shoes.

2:56

There's a connection even between air

2:57

travel and the shoes we wear. Phil

2:59

Knight, the founder of Nike, started the

3:02

company in the 1960s on a chance trip to

3:05

Japan when he fell in love with Japanese

3:07

style running shoes. And Nike got their

3:09

start importing Japanese running shoes

3:12

to America.

3:14

or music. Long before Spotify or

3:18

Napster, music started to become global.

3:21

The Beatles took the First World Tour in

3:24

the late 1960s, a tour that simply would

3:26

not have been practical 10 years earlier

3:28

with slower airplanes. So, I'd like to

3:32

invite you to imagine with me what would

3:34

happen if we had another doubling of

3:37

speed. What would happen if we could

3:39

cross the Atlantic in three and a half

3:41

hours? What would happen if Sydney were

3:44

as easy to get to as Honolulu is today?

3:47

What would be the Beatles, the Nikes,

3:49

and the Hawaii of a supersonic age? In

3:53

my mid20s, I started to think about what

3:56

it would take to bring back supersonic

3:57

passenger travel. And I set a lifetime

4:00

goal of breaking the sound barrier. So,

4:03

like any tech nerd in my 20s, what did I

4:05

do? I put a Google News alert on

4:06

supersonic. And yet there was more

4:09

progress in supersonic music than

4:11

supersonic flying. So I started to

4:14

wonder how would it be that supersonic

4:16

travel could come back. The obvious

4:19

thing seemed to be that it would be a

4:20

private jet, a business jet made by

4:22

somebody like Gulfream for the

4:23

wealthiest people on the planet. But one

4:26

of the fallouts of the Concord era was

4:29

that we actually banned supersonic

4:31

flight in the US. And since most

4:33

Gulfream miles are overland in the US,

4:36

there simply wasn't much of a business

4:37

case without a regulatory change. And

4:40

nobody in the business jet world wanted

4:42

to try to change the regulations. They

4:44

didn't want to build an airplane that

4:45

might not be legal. What about an

4:48

airliner? Wouldn't you expect Boeing to

4:50

carry us forward into a supersonic age?

4:52

Well, no. They're not even building new

4:54

airplanes anymore, let alone innovative

4:57

new airplanes.

4:59

So, could a startup do this? Not all

5:01

that long ago, the idea of a startup

5:03

supersonic airliner seemed laughable.

5:06

Uh, one of my very many failed investor

5:10

pitches was in 2015 when Jeff Bezos

5:13

passed on our seed round at Boom. And

5:15

then he wrote in the 2015 Amazon

5:16

shareholder letter about how there's

5:18

certain things that only big companies

5:20

can do. And he cited uh airliners as one

5:24

of these. So uh an even more laughable

5:28

idea was one if I could do this. Uh, I

5:31

was a software engineer by training. We

5:33

spent time at early Amazon. I'd founded

5:36

an apps company that got acquired by

5:38

Groupon. Could I do this? My knowledge

5:40

about airplanes was limited to a pilot's

5:43

license. I could fly a Cessna. But one

5:45

of the things I learned from that time

5:48

was I didn't think I could really know

5:49

what I was capable of except by picking

5:52

a mission that inspired me, something

5:54

that I wanted to create in the world,

5:55

and giving it everything I could. Only

5:57

that way could I find my limits. So in

6:00

2014 we got started and it wasn't a very

6:03

auspicious start. That's right. This is

6:05

a supersonic airliner mockup made of

6:08

cardboard plywood and seats from Office

6:11

Depot. That was before YC. And by the

6:14

end of YC batch, this is what Boom

6:16

looked like. Now we had a cardboard

6:18

mockup of our first airliner prototype.

6:21

And people laughed. Who would name an

6:24

airplane startup after the sound of an

6:25

explosion? But we didn't let this deter

6:28

us and we kept going. We started

6:30

building uh our first prototype airliner

6:33

uh XB1 uh which started life as baby

6:36

boom. Uh we didn't know what it would

6:38

really take to build a supersonic

6:40

passenger plane. And so we figured the

6:42

only way to learn the lessons was to go

6:44

build to go build the first supersonic

6:46

jet made outside of a government or

6:48

military. And that was how XB1 got

6:51

started.

6:53

Last year, XB1 became the first

6:55

independently developed jet to break the

6:57

sound barrier more than a decade after

7:00

founding the company. I'd like to invite

7:02

you to relive that moment with me from

7:04

just about a year ago in the Mojave

7:06

Desert.

7:09

>> 20 to 45,000.

7:11

>> Historically, the human race has always

7:14

wanted to [music] go faster.

7:19

Control,

7:42

you are Gopher Excel to Mach 1.1. Copy.

7:46

Go for Excel. Castro [music] gate.

7:58

There we are. XB1 is supersonic, faster

8:01

than the speed of sound.

8:08

>> Congratulations to you, you made history

8:10

today.

8:11

>> Congratulations to the whole team. Super

8:12

thankful for you guys.

8:15

The future of supersonic travel is

8:17

looking incredibly promising.

8:20

It's not just about speed. It's about

8:23

making the world more connected.

8:28

[applause]

8:33

>> Thank you. Um I've I've come to come to

8:36

believe as a startup founder, you really

8:38

have to optimize for two days. The worst

8:41

day and the best day. There's no such

8:44

thing as a startup that doesn't have

8:45

tough days. Along the way to that

8:47

flight, Boom nearly failed several

8:48

times. There was a moment where we got

8:50

down to seven days of cash and the board

8:52

told me to shut the company down. I told

8:54

them, "No, we're getting through this.

8:56

We just haven't found the way through

8:57

yet." And we did. And because I believed

9:00

that what we were creating was

9:01

important, because I wanted it to exist

9:03

in the world, I was able to keep going

9:06

even when it seemed almost impossible.

9:08

And because of that, we got to have the

9:10

best day. that moment where I got to

9:12

watch the team pull the airplane out of

9:14

the hanger, watch the uh pilot push the

9:16

throttles forward and see that we'd

9:18

broken the sound barrier. This is why

9:21

you have to build things that matter,

9:22

things that matter not just to yourself,

9:24

but to the world. Things that inspire

9:26

you, things that keep you going through

9:28

the inevitable ups and downs. So, XP1

9:33

accomplished some radical things. Not

9:35

only did we break the sound barrier, but

9:37

we did something that we didn't even

9:39

think was part of the original plan,

9:41

which is related to solving sonic boom.

9:43

XB1 broke the sound barrier on two

9:45

flights, six times through the sound

9:47

barrier. Each time no audible sonic boom

9:50

in the ground. We t uh actually

9:53

demonstrated a principle that had been

9:55

talked about for a long time called mock

9:56

cutoff where if you break the sound

9:58

barrier at a sufficiently high altitude

10:01

and at the right speed for the current

10:03

weather, the sonic boom actually makes a

10:06

U-turn in the sky and never touches the

10:08

ground. So it's like if a tree falls in

10:10

a forest and no one's there to hear it,

10:12

did it really make a sound? So, by

10:14

making the sonic boom disappear

10:16

entirely, we are able to put aside a

10:20

question that had long plagued people

10:21

talking about supersonic flight, which

10:23

is how quiet is quiet enough? If there's

10:26

no boom at all, there's nothing to argue

10:28

about. And so it was about 24 hours from

10:30

breaking the sound barrier to be invited

10:32

to the West Wing and 115 days from

10:36

breaking the sound barrier to uh an

10:39

executive order making supersonic flight

10:42

legal again in the US.

10:46

[applause]

10:51

Yeah. People talk about isn't it a bad

10:52

idea to build in a regulated industry?

10:55

Turns out you can change the

10:56

regulations. And the way you do it is

10:59

just by building the thing and

11:00

communicating why it's okay. By

11:02

demonstrating that we could have

11:03

supersonic flight without a sonic boom.

11:06

Everybody got excited about it. And I

11:08

like to say that supersonic flight isn't

11:10

red or blue. It's red, white, and blue.

11:13

After the executive order, a bill

11:15

dropped in the House and the Senate to

11:17

make the supersonic legalization

11:18

permanent. It passed the House

11:21

unanimously.

11:22

And just last week, it got out of the

11:24

Senate Commerce Committee again with a

11:26

unanimous vote. So, supersonic flight is

11:29

coming back. Thank you.

11:32

[applause]

11:36

We were able to do many things for the

11:38

first time on that airplane. First, the

11:41

first privately developed supersonic

11:42

jet. Previously, this had been the work

11:45

of governments and militaries with

11:47

enormous budgets. It was also the first

11:49

supersonic jet made in America. The

11:52

first humanpiloted airplane landed

11:54

solely on augmented reality with no

11:56

natural view of the runway. And the

11:59

first supersonic air-to-air live stream

12:01

filmed on an iPhone, streamed via

12:03

Starlink, and of course, the most

12:06

importantly, legalizing supersonic

12:08

flight in the US.

12:11

We did all of this with a remarkably

12:13

small team. The XP1 team was just 50

12:16

incredibly committed, passionate men and

12:19

women who are willing to keep going when

12:21

other reasonable people would have given

12:23

up. So how is it that something that

12:26

used to take billions of dollars and

12:28

thousands of people was suddenly done by

12:31

a small team with a comparatively small

12:33

budget? The key thing is to make

12:35

hardware development look more like

12:37

software development to reduce the cost

12:39

of iteration both in the world of bits

12:42

and in the world of atoms. So what does

12:44

that look like? If you're coming at this

12:46

from a software perspective, I think we

12:48

all know that great software is modular.

12:51

If you change something in this pit of

12:52

code over here, it shouldn't change

12:54

something in the behavior of this code

12:56

over here. Not if it's welldesigned. But

12:58

great airplanes are incredibly

13:00

integrated and everything affects

13:02

everything else.

13:03

uh the the best airplane design is

13:06

interplay of propulsion, of

13:08

aerodynamics, of structures, of all

13:10

kinds of optimizations, how you fit the

13:12

systems into it. And if we do something

13:14

like add another row of passenger seats,

13:17

it makes the fuselage heavier, the

13:18

engines have to get more powerful, the

13:20

wings have to get redesigned, everything

13:22

changes. And so classically, these pace

13:26

of iteration for complex integrated

13:28

hardware has been very slow. Imagine a

13:31

whole bunch of engineering specialists

13:33

each working in an Excel spreadsheet on

13:35

their own discipline and then handing

13:37

off the results of analysis from one

13:38

engineer to another. So iteration would

13:40

take very large teams enormous amounts

13:43

of time and eventually you'd have to

13:45

just say good enough it's time to move

13:47

on and actually build. Uh but instead we

13:49

took a different approach. We said all

13:51

of this engineering that historically

13:53

exists in spreadsheets really should

13:55

exist in software. The spreadsheet

13:58

engineering is like it's like baby

13:59

software. It's really code, but it's

14:01

getting treated like a secondass citizen

14:03

with no automated integration, no

14:05

automated testing, no continuous

14:07

integration, none of that stuff. So, we

14:09

said, let's fix it. And we built a

14:11

system called Makeboom. And Makeboom

14:13

lets you literally define an airplane in

14:16

a configuration file and then you could

14:18

run a script that does a whole aircraft

14:20

simulation. And in just a few minutes,

14:22

you could have a good idea of how well

14:25

your design performed, how far could it

14:26

fly, what would its fuel burn be, uh how

14:30

many passengers could it carry, what

14:31

would the trade-offs be? And this would

14:33

allow us not just to evaluate design

14:35

ideas. It would allow us to go do

14:37

studies of what airplane we should build

14:39

out of the infinitely many conceivable

14:42

supersonic jets, what is the correct one

14:44

to build? How do we get to product

14:45

market fit? You can't get to product

14:47

market fit on a supersonic jet by

14:48

building it and seeing if anybody likes

14:49

it. You have to analyze very carefully

14:52

the art of the possible and also what

14:54

will maximize the market opportunity.

14:56

And by being able to understand the

14:58

universe of conceivably buildable

15:00

airplanes digitally, we're able to

15:02

narrow in on the one that we would

15:03

actually want to go build. We're also

15:06

taking the same approach to how we

15:08

design uh our engines, which we're now

15:10

building for the first time. And we

15:12

built a tool called Bladeunner. And

15:15

Bladeunner allows us with really just a

15:17

couple engineers to change a blade

15:20

design in real time and see exactly how

15:23

it's going to behave structurally and

15:25

aerodynamically. This reduces literally

15:27

to real time a process that previously

15:30

would have taken dozens of engineers

15:32

many months.

15:34

So investing in iteration in the world

15:36

of bits is very important. And with

15:38

thanks to AI, the cost of software

15:40

development is dropping. And it's now

15:42

possible to have many more uh uh

15:45

software tools than previously would

15:46

have been possible to build. But you

15:48

also have to iterate in the world of

15:50

atoms. And one of the most important

15:52

things we discovered along the way is

15:53

it's extremely difficult to iterate with

15:56

outside suppliers, particularly outside

15:58

suppliers in aerospace, which are let's

16:00

just say I have no kind words for them.

16:02

So we chose to build our own machine

16:04

shop. And now we can go from a digitally

16:07

designed engine part to a prototype part

16:10

in about 24 hours. This is a uh this is

16:13

our R&D shop in Denver. This is a room

16:16

that does not exist at GE or Rolls-Royce

16:18

or Boeing or any other large aerospace

16:21

company.

16:22

So, our engineers are able to work

16:24

handinhand with our manufacturing

16:26

technicians and we're able to go from

16:28

design idea to part in hours and then

16:32

iterate much faster than is otherwise

16:34

possible. We're also vertically

16:36

integrating our own test assets. We're

16:38

building our own engine stand about half

16:40

an hour from where the engineers and the

16:42

manufacturing facility exists. This

16:44

means that when we've got something

16:46

ready to test, we can test whenever we

16:47

want. We don't have to reserve time in

16:49

someone else's test cell and wait for

16:51

that slot.

16:53

So what happens next? As we're scaling

16:55

up from XB1, the test airplane to

16:58

Overture, the passenger airliner that we

17:00

all get to fly on, we have to go big. Uh

17:03

we're taking our vertically integrated

17:04

manufacturing and building a superactory

17:07

that will allow us to build engines and

17:09

ultimately airplanes at scale. This is

17:11

what it will look like uh when it's

17:13

complete in just a few months. And this

17:16

is what it's been like over the last few

17:18

months. In January, uh, this was an

17:21

empty building, uh, with a lease that we

17:23

had just signed. And now, six months

17:25

later, the first machines are going in.

17:27

And in just a couple weeks, we're making

17:28

our first production engine parts. Along

17:32

the way, we solved what was the other

17:34

hard problem with building a supersonic

17:36

airliner, which is how do you finance

17:38

the development? uh when you're building

17:40

something that you know is going to take

17:42

billions of dollars in R&D capital and

17:45

when it's impossible to predict exactly

17:47

how much capital it will take or exactly

17:49

how long it will take it's very very

17:52

difficult to raise financing and but we

17:54

discovered along the way that because we

17:56

had made a choice to vertically

17:57

integrate our own propulsion we were

17:59

able to take the engine that we were

18:00

building for supersonic flight and sell

18:02

it separately on the ground as a natural

18:05

gas power turbine and that's what we

18:07

call superpower this This is a

18:09

supersonic engine adapted for ground

18:12

power generation that can ship without

18:14

the rest of the airplane, thereby

18:16

generating the test data, the learnings,

18:18

the reliability, and also the capital

18:20

that we need to go big. The first

18:22

superpower turbines under construction

18:24

right now and goes to the first customer

18:26

in less than 12 months.

18:29

So, let's take a step back and think

18:32

about why we're doing this.

18:35

I think it's important to create things

18:37

that we want to exist in the world and I

18:39

think it's important to create things

18:40

that inspire other creators. Because of

18:43

that, we chose to live stream XP1's

18:45

supersonic flight. This was the first

18:47

supersonic installation of Starlink, the

18:50

first supersonic air-to-air live stream.

18:52

And when we turned that stream on,

18:54

millions of people around the world

18:55

tuned in. And some of my favorite shots

18:58

were from classrooms around the country

19:00

where kids who were otherwise not tuned

19:03

in to aviation or to science uh tuned in

19:07

and some of them stood up and some of

19:10

them jumped up and down.

19:13

In one of those classrooms somewhere in

19:15

the world is the next chief engineer of

19:17

another supersonic jet. I just haven't

19:20

gotten to meet him or her yet.

19:25

>> [applause]

19:29

>> We think it's important to do that

19:31

inspiration and so we build in public.

19:33

The best way to follow along is to

19:35

follow me or follow the company on X.

19:38

And now we have uh actually quite a bit

19:40

of time uh for Q&A. So I'd love to make

19:43

this interactive. I'd love to make this

19:44

a conversation. uh and uh you know if

19:47

you can send your question to the Y

19:49

combinator agent uh they are filtering

19:52

them backstage and uh we'll uh we'll pop

19:56

them up here and we'll talk about them.

19:58

So

19:59

uh what is something widely believed in

20:02

tech that's just not true? Boy, uh lots

20:06

of things. Uh but there was one false

20:09

belief that almost stopped me from

20:12

founding Boom. uh just you you tend to

20:15

get told that every technology gets

20:18

created kind of at the earliest moment

20:20

of history that it that it could be and

20:23

if you're therefore if your idea is any

20:26

good and nobody else is working on it

20:28

there's probably something wrong with

20:29

the idea and maybe there's something

20:30

wrong with you and what this uh and then

20:33

investors ask you the question why now

20:35

and so all of this kind of compounds to

20:38

uh a whole bunch of founders running at

20:41

a relatively small base of ideas that

20:45

are only recently possible. This is why

20:47

we've got an explosion of AI companies

20:49

now and why a little while ago we had an

20:51

explosion of like photo sharing apps. Uh

20:54

but it's not true. There are many many

20:57

unsolved problems in the world, many

20:59

great ideas hiding in plain sight that

21:01

were actually solvable that could have

21:03

been multi-billion or multi-t trillion

21:04

dollar businesses a while ago, but

21:06

nobody's building them and not for any

21:08

reason other than nobody went and did

21:10

it. The technology for supersonic flight

21:12

existed actually a long time before boom

21:14

was founded. Technologically the company

21:16

could have been created 10 years earlier

21:18

but nobody started it. Uh the law of

21:22

large numbers you might think applies to

21:24

startups just doesn't. The world is a

21:26

smaller place than we're told. Um so I I

21:29

deeply believe that you should pick a

21:31

problem that you want to go solve in the

21:32

world and don't worry too much uh about

21:35

the answer to why now. Uh the answer to

21:38

why now can be because I started now.

21:42

Okay. Uh is it possible for America to

21:45

actually compete with China on

21:46

manufacturing at scale? Yes, absolutely.

21:50

Um the uh but we have to do it smartly.

21:54

Uh it it won't work to try to repatriate

21:58

uh the the manufacturing that left the

22:01

US. Um that's a uh you you don't you

22:04

don't beat China at its own game. What

22:06

you do is invent the future, invent the

22:08

next wave of manufacturing uh and build

22:11

that here. And uh and I I can give you

22:14

some examples of that. So uh one of the

22:17

ways that that China hollowed out

22:18

American manufacturing was by kind of

22:21

hoovering up the tool and die industry

22:23

and uh which used to be big in the US.

22:25

And by so if for any of you are not

22:27

hardware people uh one of the things you

22:29

need to understand about building

22:30

hardware is uh you have to make custom

22:33

precision molds, tools and fixtures to

22:36

create your precise parts. And uh you

22:38

know so for example uh for a a um a

22:42

carbon fiber wing uh there is a mold the

22:45

size of the wing uh the contour of the

22:48

wing in which you lay up layers and

22:49

layers of carbon fiber fabric and then

22:51

cure in that mold to make your make your

22:53

wing. uh or for metallic parts uh you

22:57

might have stainless steel tools in

22:59

which you injection mold or make wax

23:02

masters that then go through some other

23:03

complex process. And the the downside of

23:06

all this this tooling uh a couple fold

23:10

one is because so much manufacturing

23:12

went to China the tool and die industry

23:14

in the US basically died and it's very

23:16

very hard to find tool and die engineers

23:18

in the US. Um, but if you throw a

23:22

baseball in China, you'll hit one. So,

23:24

uh, a lot of what we're doing at Boom is

23:26

trying to figure how to get rid of the

23:27

tooling entirely. Uh, for example, for

23:30

our turbine blades, we're working in an

23:31

all digital manufacturing process that

23:34

will let us go in 24 hours from a

23:36

digital design to the most advanced

23:38

turbine blade in the world with

23:40

absolutely no tooling. And that example

23:42

matters because this is, I think, how we

23:45

win versus China. We don't win uh in a

23:47

game where the most labor is what

23:49

matters. We don't win in a game where

23:51

having the tool and die industry is what

23:53

really matters. Uh we need to invent the

23:55

next generation of manufacturing scale

23:57

that here because what America is still

23:59

best at is invention and freedom and

24:01

innovation.

24:03

Okay.

24:05

Uh in what ways has AI made building in

24:08

the physical world easier? Uh what

24:10

things remain really hard? Um the the

24:13

first thing I think we've seen is that

24:14

the AI has dramatically reduced the cost

24:17

of software development

24:19

and uh and what that means is that we

24:22

can have uh custom engineering tools

24:25

that otherwise would have been

24:26

unaffordable to create. Uh I was lucky

24:30

to start my career at uh at Amazon uh in

24:35

uh 2001 when my my family thought it was

24:38

a bookstore. And uh one of the things

24:40

that was I think great about Amazon

24:43

culture is they built their own business

24:46

software to run their own business. Um

24:49

like the personalization algorithms that

24:51

powered the recommendations on the

24:53

websites, the things that powered people

24:54

who bought this item also bought all of

24:56

that was in-house software. The back-end

24:58

software was also completely uh uh

25:01

custom that the things that would power

25:02

the warehouses and the delivery trucks

25:04

etc. And uh and I think that is a part

25:07

of why Amazon was able to be so uh to be

25:09

the winner in e-commerce is that they

25:11

had software that fit the business

25:12

operation like a glove. But to do that

25:16

in the early 2000s required scale. That

25:19

much software couldn't have been created

25:20

by a small company with a small

25:22

operation. And what AI does is reduce

25:24

the cost of building custom software

25:26

which I think allows more businesses to

25:28

have software that fits them perfectly.

25:30

And uh one of the things that's you know

25:32

traditionally inefficient about custom

25:34

software or really software at all is

25:36

the people building the software the

25:37

people using the software uh are in two

25:40

different companies and two different

25:41

organizations and they don't necessarily

25:43

understand each other very well but AI

25:45

allows uh uh anybody who is a user to

25:48

become a tool builder and I think that's

25:50

a that's a really really big deal and so

25:53

that's I think that's what uh AI has

25:55

already made better about building the

25:56

physical world. Uh, I think what's left

25:58

is we don't really have great physical

25:59

world AI yet. Like programming a CNC

26:02

machine is still an incredibly manual

26:04

task. And despite lots of pitches about

26:06

AI for uh uh industrial automation, we

26:09

haven't yet seen much that works, but I

26:11

think that's going to come.

26:13

Okay. Uh what do I look for when uh when

26:17

when hiring people? Um this is uh this

26:20

is one of for me this has been one of

26:22

the most difficult things to to really

26:23

learn and to get right uh is building

26:26

the team and in particular at boom you

26:29

the last company uh entrepreneur founded

26:32

that went on to build a commercial

26:33

airliner was Douglas aircraft in 1921.

26:37

So this this is an industry that has not

26:40

had startups for an incredibly long

26:42

time. uh and it has only kind of big

26:44

companies, Boeing, Lockheed, etc. that

26:47

are really terrible cultures. And uh and

26:50

and so we we often found that we had

26:52

this tension between being able to hire

26:55

people who are technically competent uh

26:57

who are good culture fits and who are

26:59

really experienced and uh and so what I

27:02

what I found is that uh when looking for

27:05

you know to to really value early career

27:07

talent uh people who are young,

27:09

ambitious, smart who have not yet been

27:11

destroyed by working at one of the

27:13

legacy big aerospace companies. um value

27:16

people who are hands-on, who've gone out

27:18

into the world and built smart, gets

27:20

things done, optimistic. Uh at at senior

27:24

levels, it gets even harder. And uh

27:27

that's one of the reasons why when

27:28

you're building a company, if you can

27:29

manage to promote from within, people

27:31

that you have been grown up in your own

27:33

culture, that is uh much much better.

27:37

Um okay. Uh what are some products that

27:41

Boomer uh wished existed? Uh from from a

27:45

boom perspective um you know

27:49

actually delivering on physical AI for

27:51

manufacturing would be huge. Uh like

27:54

imagine a large format uh uh

27:58

manufacturing capability that could go

28:00

from a CAD design uh to an automatically

28:04

QA part with one machine without a

28:06

programmer. That would be incredible. Uh

28:09

there's no reason to believe that's

28:10

impossible. It just hasn't been uh just

28:13

hasn't been created yet.

28:16

Uh for an early hardware startup in a

28:18

regulatory gray zone, do you engage

28:20

regulators before deploying or deploy

28:22

first and legitimatize after? How do we

28:25

make that call with Boom? I I don't

28:27

think this is one-sizefits-all.

28:29

I think this is very contextual what you

28:31

should do, you know. So, for example, at

28:33

in building Uber, uh Travis basically

28:36

ignored the regulators and built his

28:38

service anyway, built a fan base of

28:40

customers who that he could use against

28:42

the regulators that were trying to shut

28:43

him down. And uh I I don't I think if uh

28:47

Uber had tried to befriend the

28:48

regulators first, uh it just it just

28:51

wouldn't have worked. And and one of

28:53

those reasons is that there was an

28:54

active opponent, right? like the the

28:57

entrenched TR uh uh taxi industry was

29:00

using the regulators to block their

29:03

competition. By the way, this is the

29:04

pattern in a lot of regulation. It

29:06

doesn't come from like some well-meaning

29:08

person trying to keep the public safe.

29:10

It comes from some entrenched, frankly,

29:12

lazy interest that doesn't want to have

29:14

to compete and runs to DC or runs to the

29:17

local regulator and tries to use the

29:19

power of government to shut their

29:20

competition down. I think this is deeply

29:22

unethical, but it happens all the time.

29:24

And so, uh, so if you can do what Travis

29:26

did and go launch your product and have

29:29

your customers be your ally, I think

29:31

that can work great. That was never

29:33

going to work in aviation. And, uh, uh,

29:35

on the other hand, we didn't really have

29:37

an entrenched enemy. Uh, Boeing has

29:40

plenty of its own self-inflicted

29:41

problems. Uh, they thought boom was kind

29:44

of cute, would probably never succeed.

29:45

Uh, so it turns that we were flying

29:47

under the radar. And in that context and

29:50

also building a product that was safety

29:51

critical, it made a lot of sense. uh to

29:54

engage regulatory early. So uh when we

29:57

started the company, started building

29:59

XB1, uh I went to the FAA, I told them

30:02

what we were doing, why we were doing

30:03

it, why we thought it mattered, and we

30:06

asked them to help us. Uh we asked them

30:08

for feedback. We said, "Hey, come

30:09

anytime you want see anything you want

30:11

to see. Uh if you see us doing something

30:13

we could do better, please tell us. Uh

30:15

we're going to show you our plans before

30:16

they're finalized so you can give us

30:18

feedback and we want to listen." And so

30:20

what we found was that the approvals

30:22

process for XB1 that even for an R&D

30:25

airplane could stretch on for months uh

30:27

actually happened in 90 minutes uh from

30:30

when we said we think we're ready to fly

30:31

and FAA said here's the paperwork we

30:33

agree. Uh we got the first ever permit

30:36

for flying a civil supersonic airplane

30:38

supersonic even before the airplane had

30:40

flown for the first time. Why? We

30:43

engaged early. We made the regulators

30:45

part of the team and we worked together.

30:47

We made it boom plus FAA versus the

30:49

problem, not Boom versus FAA.

30:52

Um,

30:55

what's the best piece of advice I ever

30:57

received? Um,

31:02

I think about uh

31:04

I think about what Steve Jobs talked

31:06

about in his Stanford's commencements

31:08

address, which I assume many of you have

31:09

seen. Uh, but if not, you should watch

31:11

it. If you've watched it, go watch it

31:13

again. and he talks about what it takes

31:15

to do great work and how it's important

31:19

if you're going to do great work to work

31:20

on something you love and the importance

31:22

of not compromising on that and holding

31:25

out to find that thing that you really

31:26

want to go build that you really want to

31:27

go do because that's the only way to

31:29

build something great and I think this

31:31

also hearkens back to the earlier

31:33

question about what do we look for in

31:34

people one of the most important thing

31:35

to look for in people are those who

31:37

actually care is you can teach skills

31:41

you can teach knowledge you can learn

31:42

any kind of engineering But the one

31:44

thing I've never been able to teach

31:45

somebody else is to care when they just

31:47

didn't care. And that is an important

31:49

thing to look for in your partners

31:51

personally, professionally, and your

31:53

employees, people who care.

31:56

What's the worst piece of advice I've

31:58

received and why? Uh

32:01

the worst piece of ad So my mom, hi mom.

32:04

Uh

32:06

my mom told me not to start boom. And

32:09

you know what she said was, "Shouldn't

32:10

you work on something you know something

32:12

about?" And this is this is common

32:15

well-meaning advice, right? Uh you know,

32:17

when I started my first company, I had

32:20

uh I I figured I knew e-commerce from my

32:22

time at Amazon. I been at one of the

32:24

very first mobile app companies. So, I

32:25

thought I knew mobile. So, I thought I

32:27

should work on mobile e-commerce because

32:29

my resume said that's where I would have

32:31

expertise. And yeah, so I actually knew

32:33

how to do mobile e-commerce, but I had

32:35

no idea what mobile e-commerce should

32:36

be. And I actually didn't really give a

32:38

about anything we were building.

32:40

And so although I cranked out, you know,

32:41

high quality apps, I wasn't having a

32:43

good time and I had no product vision.

32:45

So I think the worst advice is like work

32:47

on what you know. Uh what you know can

32:50

be changed. Particularly in a world

32:51

where you everyone has personalized AI

32:54

tutors. Anybody with passion and

32:56

dedication can learn new knowledge and

32:58

learn new skills. But what you can't

33:00

change easily is what you love.

33:03

Knowledge is changeable. passion is not

33:06

and there never has there been uh uh uh

33:09

more reason to work on what you love.

33:13

Okay. Um it took Boom about 10 years

33:17

just to break the sound barrier. Yeah.

33:19

Oof. Uh how do you convince investors to

33:22

give a deep tech company enough runway

33:24

to survive that long before there's a

33:25

real payoff? Uh so I don't recommend

33:28

following in our footsteps in this

33:29

regard. Uh boom nearly died uh many

33:32

times. uh it took a lot more time and a

33:34

lot more money uh even to get to a real

33:36

proof of concept than than I expected.

33:39

And so uh two things one one is I mean

33:42

in with the benefit of hindsight we were

33:44

very early to deep tech uh and we should

33:47

uh had we known on day one what I think

33:50

the whole community knows today it

33:52

wouldn't have taken five years it would

33:53

have taken more like two or three and it

33:56

would have been much easier and so if I

33:57

say okay what are the what are the

33:59

specific lessons uh behind that part of

34:01

it is about iteration and the most

34:03

important iteration in hardware by the

34:05

way is to integrate iterate at the

34:07

product level uh we bit off an extremely

34:10

challenging prototype challenge in XP1.

34:13

What we should have planned is something

34:15

simpler and easier that that would give

34:17

us multiple shots on goal is that is how

34:19

you discover not only have you gotten

34:20

engineering decisions wrong, maybe

34:22

you've gotten requirement decisions

34:23

wrong. And if you do that, you can

34:25

iterate faster. You can get to proof

34:27

points faster. And the fundraising

34:29

challenge that Boom had is not one

34:30

you'll have. So, I guess I recommend um

34:34

uh I I recommend not following in our

34:36

footsteps in that that regard. Um,

34:39

okay. Uh, what would I work on if I was

34:43

20? Um,

34:46

I I I think founders should work on the

34:49

most uh exciting thing uh that they can

34:54

imagine themselves doing with a stretch

34:56

wherever they are in life. So if you're

34:58

20, uh if you have a startup that is

35:01

like calling you

35:04

um that that you think about day or

35:07

night, maybe you're not even sure

35:08

whether you can pull it off, but if

35:10

you're in that state, you should go

35:11

build that thing.

35:13

Um and if you don't have that, you

35:16

should go uh work with the best people

35:18

you can find solving the problem they're

35:20

working on that you're most excited

35:21

about solving. The magic happens early

35:23

in your career when you find an

35:25

intersection of uh what you love doing

35:29

that you can become really good at that

35:31

matters to the organization uh around

35:34

you. When you hit all three of those,

35:36

your career goes vertical. At early

35:37

Amazon, I was lucky to get to work on

35:39

something uh that Jeff Bezos cared about

35:42

that mattered to Amazon. So there I was,

35:44

I was like 23, 24. I had a $300 million

35:47

P&L with a project that one of the

35:49

world's greatest entrepreneurs cared

35:50

about. So when I screwed up, I had the

35:52

most like significant people at Amazon

35:55

telling me how I screwed up and trying

35:57

to help me not fail. Those are the kinds

35:59

of things that are game-changing

36:00

experiences to have early in your

36:01

career. So go work with great people uh

36:03

on a problem you care about that matters

36:06

to the organization you're in. And if

36:07

it's a startup that you want to go

36:09

create, that you love that you can't get

36:11

out of your system, then don't wait,

36:13

just go start it.

36:15

Okay? uh on paper uh uh you didn't have

36:20

the credentials to start boom but you

36:21

did it anyway. Where did that

36:23

self-belief come from? Can it be

36:24

cultivated? Um

36:27

truth be told, I didn't have the

36:29

self-belief on day one. Uh I had nowhere

36:32

close to the resume to build a

36:34

supersonic airliner. Uh when I told my

36:36

friends I was thinking about it, I could

36:38

just watch their eyes roll back and the

36:40

oxygen [snorts] would left the room. One

36:42

friend told me like, "Call me back when

36:44

you got something less pie in the sky.

36:46

Um, but I started thinking about uh the

36:49

founders that I admired the most, the

36:51

Steve Jobs's, the Bill Gates, and I

36:54

think in particular about something that

36:55

Bill said in the 1970s. Bill said his

36:58

goal for Microsoft was to put a personal

37:00

computer in every home and on every desk

37:02

running Microsoft software. And this was

37:04

at a time where personal computers

37:06

mostly didn't exist. And not only does

37:08

he want to make them exist, he's going

37:09

to put them everywhere and he's going to

37:10

own the market. And of course, Microsoft

37:12

did that and then some. But you know

37:14

what was it like to be Bill on that day?

37:17

Nobody comes down and taps you on the

37:19

shoulder and says, "By the way, you're

37:21

the one out of all the billions of

37:23

people that could have done this

37:24

incredible thing. Like you're the one

37:25

that's actually to do it. So like here's

37:27

the confidence. Go." Like that. Like

37:28

that conversation never happens. No one

37:30

gives you that permission. And a thing I

37:33

came to believe was that uh the only way

37:36

to know what I was capable of was to

37:38

pick something that I'd work really hard

37:39

at and give it everything I got and to

37:41

stop worrying about whether I could do

37:43

it and to put all my mental energy on a

37:45

how to do it. H and so the self-belief

37:48

actually came uh late, you know, and

37:51

there's still some days I get up and

37:52

think, "Oh man, this is hard. Can I pull

37:54

this off?" Uh I think that kind of

37:56

self-doubt is is normal. you have to put

37:58

it aside, do it anyway, and become the

38:01

person you need to become to succeed at

38:03

um uh what you've set out to do.

38:07

Uh okay. What did I learn from working

38:10

at Amazon in the early days? Uh and any

38:12

lessons from from Bezos? Um I have I

38:15

have an enormous enormous respect for

38:17

Jeff and I was very lucky to get to work

38:19

with him even a little bit uh when I was

38:21

young. Uh I think one of the things that

38:23

that Amazon did really well that is

38:26

difficult to do together is is to think

38:29

uh very long range while having

38:31

incredible operating discipline in the

38:33

moment. Uh so Jeff liked to make kind of

38:35

seven-year business plans. Uh and

38:38

because of that he would tackle things

38:40

that um uh seemed bizarre to much of the

38:45

rest of the world. Uh he was laughed at

38:47

internally and laughed at by his board

38:49

when he launched Amazon Web Services.

38:51

who was laughed at by the world for

38:53

e-commerce and yet both of those stories

38:55

ended really well. Uh I think you can

38:58

tell a lot of a character of a company

39:00

uh particularly a public company by its

39:01

its quarterly behavior and uh you know

39:04

when it got to the end of a quarter uh

39:06

Amazon would never like massage you know

39:09

their choices to try and make earnings

39:11

look good that quarter. They just take

39:12

the long-term cash flow decisions and

39:14

yet at the same time there was

39:15

incredible operating discipline. There

39:17

were goals, operational excellence,

39:18

focus on the here and now. I think doing

39:20

those two things together, uh, a vision

39:22

that exists long range and the

39:24

operational excellence day-to-day,

39:26

that's unusual. It's rare. Uh, but, uh,

39:30

this is what great companies, uh, are

39:31

made of.

39:34

Um,

39:35

you taught yourself the fundamentals of

39:37

aerospace engineering. Uh, do I have any

39:39

advice about how to teach yourself hard

39:41

things? Uh I think it's important to

39:45

know

39:47

the difference between uh knowing enough

39:50

to pass a test and really understanding

39:52

something. And at least for me going

39:54

through school, you know, I got mostly

39:56

good grades. Uh but I didn't understand

39:58

half of what I was actually doing. Uh

40:01

not not really deep down, not first

40:03

principles. Uh but uh as I was learning

40:06

aerospace engineering, you I bought

40:08

textbooks. I went back and I did

40:09

remedial Khan Academy physics and

40:12

calculus because I hadn't had any since

40:13

high school. I was doing the problem

40:14

sets and I uh I I started making a list

40:17

that I called my confusion list which is

40:19

my list of things I didn't think I

40:21

really understood even if I could answer

40:23

the question uh on a test or answer the

40:25

question plausibly. And uh my goal was

40:28

every week to take one thing off the

40:29

confusion list. It turns out that was

40:31

wildly optimistic. the confusion list

40:33

grew without bound uh because I was

40:35

always finding things that I wish I

40:36

understood completely that I just didn't

40:38

understand yet. But what it created in

40:40

myself is a a mental awareness of that

40:43

difference between I really get this and

40:46

I'm kind of waving my hands and uh and

40:50

so that that self-awareness I think

40:51

really matters. Uh because when there's

40:53

a thing that you don't know yet that you

40:56

need to know, you can stay on it and do

40:58

whatever it takes cognitively until you

41:00

have that internal sense of uh uh of

41:02

clarity of not being confused.

41:06

Um

41:07

let's see. There's a lot of uncertainty

41:09

about what jobs will look like as AI

41:11

develops. Uh do you have advice to early

41:14

career technical people about what

41:16

skills to learn? Um, I think all this AI

41:19

dumerism is like deeply wrong and

41:21

confused. So my my biggest piece of

41:23

advice is don't worry about it. Just go

41:26

do useful things. And um you as an

41:30

example like this notion that software

41:31

engineering is dead. I just don't buy

41:33

it. At boom we need far more software

41:35

engineers in a postAI world than we need

41:38

in a pre-AI world. Why? Because the cost

41:41

of software development has dropped.

41:43

anybody including hardware engineers can

41:45

now become a coder and we need software

41:47

engineers to make sure the architectures

41:49

are right and make sense and are

41:50

coherent. Uh so our need for software

41:52

engineers has actually gone up as the

41:54

cost of software engineering has gone

41:56

down. Uh so the the thing that you know

42:00

again I think let's go back and think

42:01

about uh you know what what really

42:03

matters from first principles what will

42:04

be true over a long period of time. uh

42:07

the the being able to discover what's

42:09

useful in the world and go learn how to

42:11

do it and go create something that's

42:12

real working with other people uh being

42:15

multi-disiplinary like one of the

42:17

reasons I went to Amazon early in my

42:19

career is I knew that I'd be able to

42:21

work on software for marketing and I

42:23

didn't know jack about marketing and I

42:24

wanted to learn it uh and so finding a

42:26

way to kind of see things from multiple

42:28

perspectives matters but mostly go find

42:30

something you want to create and go

42:31

create it um and uh I I I don't don't

42:34

worry too much about being repled

42:38

Um, in software, young builders have an

42:41

edge. In hardware, experience seems to

42:43

win. High barriers, deep expertise

42:45

required. Uh, how does a young engineer

42:47

break in and actually stand out? I don't

42:49

believe the premise of the question. Uh,

42:52

this this like in hardware, uh,

42:54

experience wins. This is one of these

42:56

lies told by old people at big dumb

42:59

companies, and it's just not true. And

43:01

by the way, all those people suck. Uh,

43:03

so don't worry about it. uh go build

43:05

real things, go have hobbies. Like if

43:07

you're into airplanes, do RC model

43:09

airplanes. Um and uh and you know, and

43:12

learn not just how to design things, but

43:13

learn how to actually make them. And and

43:16

the barriers are not actually that high.

43:18

You can just go do this stuff. Um so, uh

43:23

don't try to become a deep expert. The

43:25

moment you become an expert, what you're

43:26

steeped in is the past and then you're

43:28

completely useless. Uh so um and you

43:31

don't listen to all the people that tell

43:32

you you need ages and ages of

43:33

experience. There is one thing about

43:35

experience that matters though. Um and

43:38

and a rule we have developed a rule

43:39

about this at Boom. It is totally okay

43:41

for a young engineer to do something

43:43

they've never done before just the way

43:45

it's okay for them to do something that

43:47

nobody has ever done before. But uh but

43:49

if somebody has done it before in the

43:51

world, uh our rule is you have to go

43:53

find one of those people, call them, and

43:55

ask them your advice. And you don't have

43:57

to take it. You just have to hear it.

44:00

And uh I find it's very rare that there

44:02

are uh experienced accomplished people

44:04

that aren't willing to take that call in

44:05

some form of passion um and to give you

44:08

that give you that advice. So so go seek

44:10

that wisdom where it's out there, but

44:12

don't listen to it too much and uh just

44:14

go build.

44:16

Uh do I recommend starting a company or

44:18

working at a company early in your

44:20

career? Uh I don't think this is a

44:22

one-sizefits-all.

44:24

Uh, I think the moment you have a

44:26

startup that you desperately want to

44:28

start, a thing that you want to go

44:29

create, even if you're not sure how to

44:31

do it, even if you worry you might fail,

44:33

uh, but you can't get that idea out of

44:35

your head, I think at that point you

44:37

should go start it. Uh,

44:40

and don't wait. And the world is full of

44:42

examples of great companies that were

44:43

started by young people. Uh, the world

44:45

is also full of great companies that

44:47

were started a little bit later in life.

44:49

Um, I started Boom when I was 33. Uh, I

44:53

started my first company in my parents'

44:55

basement in high school. Uh, an internet

44:57

service provider that I basically

44:59

started because I wanted to get a better

45:00

internet connection and I needed a way

45:02

to finance it and starting an ISP was

45:03

the way to do it. Um, right out of

45:06

college, I didn't really know what

45:08

startup I wanted to start and so I went

45:10

to work at Amazon and got some great

45:12

experience there. So, I don't think this

45:13

is an any sizefits-all. Uh, and don't

45:15

start a company just to start a company.

45:18

Uh, that's a good uh recipe for misery.

45:21

And the the worst the worst thing you

45:23

can do is start a company that you don't

45:25

love and then get stuck. And uh this

45:28

sounds like a champagne problem, but

45:30

it's actually pretty bad. And I know I

45:31

know like successful founders that have

45:33

had this problem who are running like

45:34

successful companies that they actually

45:36

don't love, but they feel the debt of

45:38

responsibility to their employees and

45:40

their investors. And it's very hard to

45:42

replace a founder CEO. So now they're

45:43

like trapped. So start a company, but

45:46

only if one only if it's a company you

45:48

want to keep.

45:50

Okay. Uh, it says we've got time for

45:53

three more questions. Um,

45:56

okay. Do uh do founders need to move to

46:00

San Francisco? Uh, no. This founder

46:03

moved from San Francisco to start Boom.

46:07

uh you know we we uh we I left San

46:09

Francisco and moved to Denver uh to put

46:12

boom uh to put boom there because it it

46:14

did not seem feasible to build uh uh in

46:17

the physical world affordably uh at

46:20

scale in the Bay Area. Uh that said, I

46:22

do think there's enormous benefit in uh

46:25

being surrounded by other ambitious

46:27

people and there is there is no

46:29

ecosystem uh uh better than that than

46:32

what exists you know here in San

46:34

Francisco. So unless there let me put it

46:36

this way uh unless there is a specific

46:38

reason why the the uh you should not be

46:42

in an ecosystem you should be in an

46:43

ecosystem like think San Francisco uh LA

46:47

Austin uh be around other people that

46:50

will inspire you.

46:53

Um what would I look for in a freshman

46:56

or sophomore in college who doesn't have

46:58

work experience yet? Um

47:01

side projects. Uh when I was something

47:05

like 15,

47:07

uh I got my first real software job at

47:10

what was probably the only software

47:12

company in Cincinnati where I grew up.

47:15

Uh I think because I did okay in an

47:17

interview and I'd built some things on

47:19

the side and they felt like they just

47:21

kind of had to give me a chance. And uh

47:23

at at Boom, we will um we will hire

47:26

people early career uh with no work

47:29

experience, but they have to have done

47:30

something else that demonstrates having

47:33

been extraordinary. So So if if you

47:35

want, for example, to come work at Boom

47:37

uh go to boomupet.com/careers

47:41

and there is a there's a job opening.

47:42

It's called your dream job and it's

47:44

basically go create whatever you want to

47:46

go do. But in in in doing that, you have

47:48

to tell us something extraordinary about

47:50

yourself, something that makes you

47:52

really stand out. And uh if you don't

47:54

have work experience yet, uh just show

47:57

the most impressive thing that you've

47:58

built on the side and show it with

48:00

pictures. And that's how you can

48:02

bootstrap yourself. And I I find this is

48:04

true of a lot of good good people. They

48:06

they find a way to do things at

48:07

abnormally young ages. And you so this

48:09

notion of like, oh, you have to be like

48:11

a junior in college to get an

48:13

internship. Nope. That's bologn. Uh, all

48:15

the best people have gotten internships

48:17

way earlier than that and you can do it,

48:19

too.

48:21

Um, okay. Does work life balance matter?

48:24

Uh, I think, um, I believe in work life

48:28

harmony like this this notion that like

48:31

there's like life and work and there's

48:33

somehow an opposition uh doesn't doesn't

48:36

make any doesn't make any sense to me.

48:37

If you have meaningful work, it is a big

48:40

part of your life and the meaning of

48:42

your life. And you know, I I believe we

48:44

spend so much of our, you know, so much

48:45

of our energy doing our work that we

48:47

should find work that we love that that

48:49

is meaningful that is not just punching

48:51

in and punching out. Um, and I've I'

48:54

I've never um I've I've never found that

48:57

when there was one more thing I wanted

48:59

to like add to my life that I couldn't

49:00

find a way to do it. when I when I

49:02

started Boom um I had three kids under

49:07

the age of two

49:09

and uh and you know it wasn't easy but I

49:12

but I but I made it work and uh you can

49:14

have a family and be a good dad and be a

49:16

good CEO too. Uh it's not easy but it

49:19

can be figured out and uh in fact I find

49:22

that like doing you know being being a

49:24

parent and being a good CEO is very

49:26

synergistic. Sometimes I take a

49:28

parenting lesson and uh uh and bring it

49:32

uh bring it to work and find it's the

49:33

exact same leadership lesson at the

49:35

office that was part of help me with the

49:36

kids. So it crosspollinates all the

49:38

time. Just do things in your life that

49:40

you love. Don't let detritus into your

49:42

life. Uh don't let things that are not

49:44

meaningful soak up your time and energy

49:46

and passion. Okay, we are done. All

49:48

right. Well, thank you all very much uh

49:50

for coming. And if I leave you with just

49:52

one thing, go build something you love.

49:54

Go build something that should exist in

49:55

the world. Leave this planet better than

49:57

you found it. Thank you all very much.

Interactive Summary

The speaker recounts his journey founding Boom Supersonic, a company dedicated to bringing back supersonic passenger travel. Despite skepticism from investors and the difficulty of navigating the regulatory landscape in the aerospace industry, the company successfully developed the XB1 prototype and became the first independent entity to break the sound barrier. The talk emphasizes the importance of iterating rapidly in hardware development, similar to software practices, and advocates for building things that inspire and matter to the world.

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