May 20, 2022

182: Hate It Or Love It | LiveDuel | Will Martin & Laura Brkic

182: Hate It Or Love It | LiveDuel | Will Martin & Laura Brkic
182: Hate It Or Love It | LiveDuel | Will Martin & Laura Brkic
MoneyNeverSleeps
182: Hate It Or Love It | LiveDuel | Will Martin & Laura Brkic

On the show this week, we’ve got Will Martin and Laura Brkić from LiveDuel, a DeFi-powered digital sports market with live fan engagement. LiveDuel supports decentralized sports betting built on blockchain to give you a fairer deal than traditional sports betting sites.

This episode of MoneyNeverSleeps is sponsored by Philip Lee, one of Ireland’s fastest-growing corporate law firms and expert advisors at the heart of the Dublin and London start-up, fintech and crypto communities.

LiveDuel are the fifth of ten founding teams forming the Launchpool Web3 Techstars Accelerator Class of 2022 that we’ve got on the show over the next two months.

In this episode, Pete Townsend talks to Will and Laura about how they got together with Alex Luce to drive LiveDuel forward, what LiveDuel is and how it works, replacing ‘the house’ in sports betting markets with DeFi liquidity pools, and staying close to the long-term vision while executing in the short term.

HIGHLIGHTS:

Will Martin on the genesis of the LiveDuel idea:

“Back in economics class, I learned about things like traders noticing price differences in oil between markets in London and New York and profiting on that. My clever brain went ‘I wonder if you could do that for sports betting,’ because there was a new thing called Betfair at the time, and Europe was going through what America's going through right now in terms of a sports betting revolution with loads of betting companies starting up.

“It used to be all about getting your bet in before the game started. But when I was doing sports betting arbitrage and sports betting trading, I fell in love with the idea of everything going ‘live’. There was an innovation in the industry of real-time delivery of prices and being able to execute trades.

“The ‘duel’ is that people love having their own opinions – sports is always the great debate. People will have opposing opinions on whether someone played well or not. LiveDuel revolves around these two sets of ideas, the ‘live’ and the ‘duel’.”

Laura Brkić on how she started out as a product designer:

“When I started out, I actually wanted to become an artist, which is quite different but also very similar at the same time.

“Artists need to have the obvious skills like painting and drawing, but the core of being an artist is being able to observe, analyze, and then create something new based on what you observed. These skills are very useful when you are building a digital product.

“I didn't want to be a starving artist because I didn't like that life, and I understood that you could use all these skills in order to make something that is needed in today's economy.”

Will Martin on what’s at the core of LiveDuel:

“LiveDuel is a DeFi-powered sports prediction market and live fan engagement platform. Prediction markets can be in sports, stock markets, or other areas, but we’re very much focused on sports. What I love about sports is everyone wants to know the outcome. Everyone thinks they might know the outcome, or everyone will have an opinion on what's going to happen.

“We’ve gamified that while also having a financial incentive for the people who have the most knowledge or can predict the future. When you look at markets, the financialization of them makes them more efficient over time, or at least that's the general concept behind the stock market.

“As a huge sports fan and as a former trader, I wanted to bring the two together and see what value we could deliver.

“When you look at the sports betting industry, it's very much a ‘the house always wins’ philosophy. The reason they win is that they include a five to 20% fee – ‘the vig’. By removing the house, you don't need to charge such high rates. We can deliver a better product to the end-user in that they have a fairer outcome.”

Will Martin on the merging of sports data with prediction markets:

“We've seen the data explosion in sports, with the US leading the way with all the data that comes out of each individual US sport. For example, baseball is pretty much a game of stats, hence Moneyball and being able to sign players that were undervalued that delivered [the Oakland A’s] a division title.

“Every season in soccer there are new stats being created and marketed. Amazon have done a great job with next-gen stats - they're doing it for the NFL, rugby, soccer, and Formula One - because each individual game is producing so much data. Each individual data point is something that can be tracked and measured and correlated and put into a model that, in the future, might help people better predict the outcome for sports games.

“We haven't even gotten into the areas around the data that's coming off the individual athletes. There's a big debate right now on who owns the data coming in from the athletes like heart rate, rest-recovery, V02 max, and distance covered. These are all interesting data points that could potentially form part of a prediction model to help people predict sports outcomes.

Will Martin on the wisdom of the crowd:

“What I love about prediction markets is it's the wisdom of the crowd. I read the book ‘The Wisdom of Crowds’ when I was in first-year economics. The theory is that if you get a large enough pool of people to make a prediction that it will be better than any one person or any one expert in that group.

“That's what I really love about prediction markets and markets in general, is that whatever the price says or whatever the trading figure is, that's everyone's best guess at that moment in time. It doesn't mean it's right, but that’s the combined wisdom of hundreds or thousands or hundreds of thousands of participants. So yeah, I’m very excited to see the coming together of prediction markets and data.”

Laura Brkic on keeping things simple for the user with the complexity of available data:

“You need to understand the data and think about new ways to use the data, but also keep in mind the main goals with the data you’ve got.

“You want to abstract everything that people don't really need to know and do that in a way that people really understand. You can have all your ideas, your sketches and all of the data and graphs, but then you have to test everything by showing it to as many people as you can.

“Ideally, when you’ve got about 15 people who really understand what you’re showing them [you’re in good shape]. It’s a process of gathering lots of ideas, and then narrowing it all down – sometimes it will work and sometimes it won’t, and you have to be ready to bin all of your ideas and the work that you did.

“If people don't understand it, it's more of an obstruction for your user experience - sometimes you just don't need that extra graph.”

Will Martin on ‘bringing down the house’:

“There might be a hundred people that want to bet on Spurs winning the Champions League whereas 10 people might want to bet on Arsenal. In a traditional exchange, 10 of those trades would get matched off each other, and then there are another 90 Spurs bets that will go unmatched. Traditionally, the house would take the other side of those 90 bets.

“But with a peer-to-peer exchange, 90 bets will go unmatched – solving that problem is the key part of LiveDuel. The more I got into decentralized finance and the world of crypto, I saw the opportunity to attract liquidity providers, create liquidity pools, and then the end-users effectively trade against the liquidity pools.

“We'll move that liquidity to the different markets where there's demand. This weekend it might be Spurs vs. Arsenal and then on Sunday evening, it might be the Red Sox vs. the Yankees. It’s basically like a virtuous cycle moving around, picking up the fees or ‘the vig’ and delivering a return for the liquidity providers.”

Laura Brkic on the first big challenge for LiveDuel:

“Get the initial 1,000 users - it grows exponentially from there because if 1,000 people really love your product, then you're able to scale it.

“If it grows in a natural way where people are recommending your product and their friends are also using it, it’s a more stable structure to build on rather than having a huge marketing budget to attract a lot of new users that might not stick around. it.

“If you have one person who came in quite early with your product, you also have a loyal friend who will use your product. When you have a connection with your users and you're reaching out to get their perspective and you make the product better based on their opinions, they feel the product is right for them. They feel a better connection with the whole product and the brand.

“So, decentralization is not just about decentralizing finance, but also decentralizing the way the product gets built. Obviously, we’re responsible for the product, but we can also give it to users to decide, which is the next big feature that we're going to implement or the next market we open up in the app.”

LINKS:

Connect with Will Martin and Laura Brkić and learn more about LiveDuel

Episode title inspired by ‘Hate It or Love It' by the Game

Leave a review and subscribe on Podchaser| Apple Podcasts | Spotify| Google| Overcast

Check out our MoneyNeverSleeps website

Follow MoneyNeverSleeps on Twitter

Follow Eoin Fitzgerald on Twitter

Follow Pete Townsend on Twitter

Get in touch at info@moneyneversleeps.ie

--- Support this podcast: https://anchor.fm/moneyneversleeps/support

1
00:00:11,700 --> 00:00:14,500
Hey there, I'm Pete Townsend.
This is money, never sleeps.

2
00:00:14,600 --> 00:00:16,400
We look inside the minds of
entrepreneurs, and at the

3
00:00:16,400 --> 00:00:19,200
crossover of startups,
Enterprise Finance, technology

4
00:00:19,200 --> 00:00:21,300
and Life.
As We Know It, This episode of

5
00:00:21,300 --> 00:00:24,200
money, never sleeps is sponsored
by Phillip Lee one of Ireland's

6
00:00:24,200 --> 00:00:26,200
fastest growing corporate law
firms and expert.

7
00:00:26,200 --> 00:00:28,900
Advisors the heart of the Dublin
and London startup fintech and

8
00:00:28,900 --> 00:00:32,000
crypto communities.
On the show this week we've got

9
00:00:32,100 --> 00:00:36,300
and well Martin founder and CEO
of Life duel and um Laura

10
00:00:36,300 --> 00:00:39,100
burkitt's.
And I'm a product designer at

11
00:00:39,100 --> 00:00:41,500
level five tools.
Defy power.

12
00:00:41,500 --> 00:00:45,100
Digital Sports Market would live
fan engagement live tool

13
00:00:45,100 --> 00:00:48,300
supports decentralized sports
betting built on blockchain to

14
00:00:48,300 --> 00:00:50,500
give you a fair deal than
traditional sports betting

15
00:00:50,500 --> 00:00:52,900
sites.
Like Twitter, the fifth of 10

16
00:00:52,900 --> 00:00:55,600
founding teams formed the launch
pool, web three textures

17
00:00:55,600 --> 00:00:58,900
accelerator class of 2020 to
that we've got on the show over

18
00:00:58,900 --> 00:01:01,600
the next couple of months.
In this episode I talk to Will

19
00:01:01,600 --> 00:01:04,000
and Laura about how they got
together with Alex loose to

20
00:01:04,000 --> 00:01:07,500
drive live dual forward, what
live dual is and how it works.

21
00:01:08,000 --> 00:01:10,900
Replacing the house in sports,
betting markets with defy

22
00:01:10,900 --> 00:01:14,200
liquidity pools, and staying
close to the long-term Vision

23
00:01:14,200 --> 00:01:15,700
while executing in the short
term.

24
00:01:16,200 --> 00:01:19,000
All right here on money, never
sleeps.

25
00:01:23,200 --> 00:01:25,700
Listen, just to get started.
Why don't we do this?

26
00:01:25,700 --> 00:01:30,100
We'll share your back story, how
you got to this point and then

27
00:01:30,100 --> 00:01:31,900
we'll ask Laura to do the same
thing.

28
00:01:31,900 --> 00:01:33,500
Yeah, sure.
Sounds good.

29
00:01:33,500 --> 00:01:36,700
It's my own background is in
economics and computer science.

30
00:01:36,800 --> 00:01:40,600
One of his in University learned
about Arbitrage in the financial

31
00:01:40,600 --> 00:01:42,700
market.
So, back of Economics class,

32
00:01:42,700 --> 00:01:46,300
learned about price difference
in oil between say, London and

33
00:01:46,300 --> 00:01:50,400
New York and Traders.
Make them a profit by it.

34
00:01:50,500 --> 00:01:54,200
Scooting to trades and noticing
a price difference.

35
00:01:54,200 --> 00:01:56,900
Since my clever brain went.
I wonder if you could do that

36
00:01:56,900 --> 00:01:58,700
for sports betting, because
there was a new thing called

37
00:01:58,700 --> 00:02:02,100
Betfair at the time and Europe
was kind of going through what

38
00:02:02,100 --> 00:02:04,400
America is going through right
now in terms of a sports,

39
00:02:04,400 --> 00:02:07,800
betting Revolution with loads of
betting companies starting up.

40
00:02:07,800 --> 00:02:11,300
So made a lot of money doing
that over a number of years had

41
00:02:11,300 --> 00:02:15,300
kind of identified, my career,
when I was quite young, I wanted

42
00:02:15,300 --> 00:02:20,400
to be a wall street-type Trader
on the floor barking at ideas.

43
00:02:20,600 --> 00:02:23,100
Thrown hand signals of what
you're buying and selling.

44
00:02:23,700 --> 00:02:27,000
And so, did that for a couple of
years was very different was all

45
00:02:27,000 --> 00:02:30,300
on a computer for screens, very,
very boring but as working the

46
00:02:30,300 --> 00:02:34,000
day of the flash crash in May
2010 trillion lost in like 15

47
00:02:34,000 --> 00:02:35,600
minutes.
Thankfully, it was not in any

48
00:02:35,600 --> 00:02:37,700
trades at the time but the
market kind of bends back very

49
00:02:37,700 --> 00:02:40,700
quick and that was my kind of
hands up in the air moment of

50
00:02:40,700 --> 00:02:43,900
I'm never going to be able to
compete with Bots algorithms,

51
00:02:43,900 --> 00:02:47,000
high frequency Traders because I
was reading fed reports job

52
00:02:47,000 --> 00:02:50,000
reports, inflation numbers,
loading screens and charts.

53
00:02:50,500 --> 00:02:53,400
To get an advantage but when
you're competing against

54
00:02:53,400 --> 00:02:57,900
computers who bought and sold
tens of hundreds of Millions

55
00:02:58,000 --> 00:03:00,900
worth of stock in a second.
By the time you even turn on one

56
00:03:00,900 --> 00:03:02,700
of those four screens that I was
using.

57
00:03:03,100 --> 00:03:05,400
And that's when I kind of went
that's actually not for me.

58
00:03:05,400 --> 00:03:08,600
So later on that Year my brother
got married in India and so I

59
00:03:08,608 --> 00:03:11,700
decided to take the long route
home use that as the kind of

60
00:03:11,700 --> 00:03:16,500
starting point to a world tour,
went to Indonesia Macau,

61
00:03:16,800 --> 00:03:19,700
substituted quite interesting in
the the sports, betting world

62
00:03:19,800 --> 00:03:23,000
and I'd heard that Co is seven
times larger than the in Vegas.

63
00:03:23,000 --> 00:03:24,700
I was like, okay.
How is that possible have been

64
00:03:24,700 --> 00:03:27,000
to Vegas before and it's
absolutely insane went to

65
00:03:27,000 --> 00:03:30,500
Taiwan.
I learned about NFC technology

66
00:03:30,600 --> 00:03:33,000
and went back to the States and
then home to Ireland.

67
00:03:33,000 --> 00:03:35,800
So she kind of came back with
the idea of NFC be in the future

68
00:03:35,800 --> 00:03:38,500
of money payment.
So that was in the end of 2010.

69
00:03:38,500 --> 00:03:42,900
Had tried a start up there in
that space said to what I was

70
00:03:42,900 --> 00:03:46,200
kind of trying to do is
digitized loyalty cards for

71
00:03:46,200 --> 00:03:48,400
coffee shops.
So people would just have with

72
00:03:48,400 --> 00:03:49,600
their phone.
Instead of getting the little

73
00:03:49,600 --> 00:03:51,400
paper card that they use, Stick
in your wallet and you get a

74
00:03:51,400 --> 00:03:54,600
stamp very interesting product
way too early and kind of

75
00:03:54,600 --> 00:03:58,600
realize that the Samsung Galaxy
2 was also launched in Europe

76
00:03:58,600 --> 00:04:01,100
with it with NFC.
Then at the last minute they

77
00:04:01,100 --> 00:04:03,100
weren't actually no we're not
going to do that in Europe

78
00:04:03,200 --> 00:04:05,500
because the technology just
wasn't here you know even

79
00:04:05,500 --> 00:04:09,200
recently Apple had been brought
up by the the EU for locking

80
00:04:09,200 --> 00:04:11,600
down there in a sea trip.
So even if I had tried to

81
00:04:11,600 --> 00:04:14,900
struggle on, I would have been
very, very tough.

82
00:04:14,900 --> 00:04:16,200
So yeah.
We're concerned us for a number

83
00:04:16,200 --> 00:04:19,800
of years, went back and did a
masters when I was building the

84
00:04:20,100 --> 00:04:22,300
DNA.
Teeth product of a teach myself

85
00:04:22,300 --> 00:04:25,900
Android coding and we thought
through the University of San

86
00:04:25,900 --> 00:04:28,300
Francisco.
So I was like, okay, I've kind

87
00:04:28,300 --> 00:04:31,400
of given up on on the startup.
Maybe I'll just go to San

88
00:04:31,400 --> 00:04:34,600
Francisco absorb the culture.
Sit down a few of these classes

89
00:04:34,700 --> 00:04:36,500
but turns out it was just kind
of a once-off.

90
00:04:36,500 --> 00:04:39,100
But what I was on the University
of San Francisco website, came

91
00:04:39,100 --> 00:04:41,700
across this Masters.
That was three sister

92
00:04:41,700 --> 00:04:44,400
universities, so studied in
Barcelona Taiwan and San

93
00:04:44,400 --> 00:04:47,000
Francisco.
So yeah, can you use that as a

94
00:04:47,008 --> 00:04:49,500
jumping off point to get into
deeper into education.

95
00:04:49,500 --> 00:04:52,700
So when I Finished that I did a
start up again, which is part of

96
00:04:52,700 --> 00:04:55,300
the textures and learned a lot
about actual.

97
00:04:55,600 --> 00:04:56,800
Okay.
You have this idea.

98
00:04:56,800 --> 00:04:59,400
How did you actually execute
whereas a master's in

99
00:04:59,400 --> 00:05:01,900
entrepreneurship management as
good as it was your kind of

100
00:05:01,900 --> 00:05:06,400
reading Harvard Business Review
papers, so it's very much on the

101
00:05:06,400 --> 00:05:09,900
high level, kind of sight.
So when that ended, I did a

102
00:05:09,900 --> 00:05:12,800
gamification kind of program
that was through the University

103
00:05:12,800 --> 00:05:17,200
of Pennsylvania and University
of Stanford to machine learning,

104
00:05:17,200 --> 00:05:19,600
kind of program, because I kind
of identified those two.

105
00:05:19,600 --> 00:05:23,800
And in 2012, Was being hugely
influential for the next kind of

106
00:05:23,800 --> 00:05:25,100
10 years.
And I guess we're still kind of

107
00:05:25,100 --> 00:05:28,200
seeing that today that machine
learning and Ai and gamification

108
00:05:28,200 --> 00:05:32,000
are, you know, they're quite
opposite but they do great

109
00:05:32,000 --> 00:05:35,100
things for technology and
products, very good and then

110
00:05:35,100 --> 00:05:40,300
getting going with your sports
Tech live podcast in 2019 doing

111
00:05:40,300 --> 00:05:43,000
the techstars sports Tech
newsletter.

112
00:05:43,400 --> 00:05:47,500
Those experiences leading up
into the beginnings of live

113
00:05:47,500 --> 00:05:49,400
tool.
Now you founded live dual a

114
00:05:49,400 --> 00:05:50,600
number of years back.
Back.

115
00:05:50,600 --> 00:05:53,400
But it feels like it's just
started in the last.

116
00:05:53,400 --> 00:05:57,100
Probably your to pivoting a bit
and ramping up into web three.

117
00:05:57,100 --> 00:06:00,300
Yeah, yeah, absolutely.
So, I shaved bought the domain.

118
00:06:00,400 --> 00:06:01,800
How, what?
I was still in University, in

119
00:06:01,800 --> 00:06:06,100
2008.
Okay, so, just move, yeah, fell

120
00:06:06,100 --> 00:06:08,500
in.
Love with the idea of everything

121
00:06:08,500 --> 00:06:11,400
going live goes, kind of what I
was doing, sports, betting,

122
00:06:11,400 --> 00:06:14,100
Arbitrage and sports betting
trading, you know, everything

123
00:06:14,100 --> 00:06:17,000
was becoming, but the
live-action, you know, before

124
00:06:17,000 --> 00:06:20,600
that it was all about, you know,
getting her bed in before The

125
00:06:20,600 --> 00:06:23,800
match started of the game
started, but then there was kind

126
00:06:23,800 --> 00:06:26,700
of innovation in the industry
of, I guess, kind of real-time

127
00:06:26,700 --> 00:06:29,900
delivery of prices, and being
able to execute trades.

128
00:06:29,900 --> 00:06:33,700
So, yeah, I just love the idea
of the live aspect and then the

129
00:06:33,700 --> 00:06:36,800
Dual kind of sight and was
people love having their own

130
00:06:36,800 --> 00:06:38,500
opinions.
When you kind of mash those

131
00:06:38,500 --> 00:06:42,400
together, you know, people have
not an adversarial, a kind of

132
00:06:42,407 --> 00:06:45,200
conversation but the beauty of
it supports dissolves, the great

133
00:06:45,200 --> 00:06:47,600
debate, people who have
different opinions on, even just

134
00:06:47,600 --> 00:06:50,700
seeing a game, whether someone
paid well or not, people who

135
00:06:50,700 --> 00:06:53,900
have opposing opinions, so let
your kind of pivoted around

136
00:06:54,000 --> 00:06:55,400
multiple different kind of
ideas.

137
00:06:55,400 --> 00:06:57,800
Sports betting was actually
where I kind of started but of

138
00:06:57,800 --> 00:07:00,700
see the regulatory stance in the
world right now is very

139
00:07:00,700 --> 00:07:03,400
different to what it was in 2014
us have legalized.

140
00:07:03,400 --> 00:07:05,700
So you know, that's a huge
opportunity when I was trying to

141
00:07:05,707 --> 00:07:08,900
raisins in San Francisco, in
2014, it was basically like

142
00:07:09,300 --> 00:07:12,200
America will never legalize, you
know, it's just one of those

143
00:07:12,200 --> 00:07:14,600
things that it's just not gonna
happen.

144
00:07:14,600 --> 00:07:17,200
So, you have been in this sport
space for a long time.

145
00:07:17,200 --> 00:07:19,600
Reach out to techstars actually,
before they had a sports Tech

146
00:07:19,600 --> 00:07:22,400
program.
Say, Hey, I'll do the sports,

147
00:07:22,400 --> 00:07:24,200
that newsletter free and they're
like, no, it's not something

148
00:07:24,200 --> 00:07:26,700
we're interested in.
And then you know they have

149
00:07:26,700 --> 00:07:29,700
three sports like programs in
the last kind of three years or

150
00:07:29,700 --> 00:07:32,800
so maybe four years and so
Indianapolis Melbourne and

151
00:07:32,800 --> 00:07:35,200
Minnesota or Minneapolis say
I've been doing that for three

152
00:07:35,200 --> 00:07:38,300
years and it's a great way for
me to kind of stay on top of

153
00:07:38,300 --> 00:07:40,000
what's happening because the
world is ports.

154
00:07:40,000 --> 00:07:43,100
Heck is so broad.
You know, it's sports betting,

155
00:07:43,100 --> 00:07:47,300
it's streaming, it's a RV or
metaverse, crypto marketing,

156
00:07:47,300 --> 00:07:52,600
social media data, Hardware, Are
becoming it's it's everything.

157
00:07:52,600 --> 00:07:54,500
So it's a great way for me to
kind of stay on top of all the

158
00:07:54,500 --> 00:07:57,800
trends and who's doing deals
with to Very good.

159
00:07:57,900 --> 00:08:00,800
We're going to come back to what
is live duel in a minute, but,

160
00:08:01,000 --> 00:08:04,100
you know, just rounding out
looking at your backstory.

161
00:08:04,300 --> 00:08:08,100
Well, and seeing the financial
background that I want to be a

162
00:08:08,108 --> 00:08:10,100
traitor.
I went through that same

163
00:08:10,100 --> 00:08:14,200
experience myself, well as well,
back in the 80s and 90s and then

164
00:08:14,200 --> 00:08:19,100
getting this multiple different
set of experiences in education

165
00:08:19,100 --> 00:08:23,500
and immersive activities that
you were involved with that all

166
00:08:23,500 --> 00:08:26,000
have combined into what you're
doing right now.

167
00:08:26,000 --> 00:08:30,700
Just seems like Right story,
Laura I want to hear from you as

168
00:08:30,700 --> 00:08:34,299
well.
Over the last ten years in the

169
00:08:34,299 --> 00:08:37,600
u.s. space in product design.
Why don't we bring you into the

170
00:08:37,600 --> 00:08:40,400
loop here as well?
In terms of how you got to this

171
00:08:40,400 --> 00:08:42,000
point?
Yeah, yeah.

172
00:08:42,500 --> 00:08:45,600
Well back, when I started I
actually wanted to become an

173
00:08:45,600 --> 00:08:48,600
artist but okay.
Yeah.

174
00:08:48,600 --> 00:08:52,600
Which is quite different but
very similar and I'll tell you

175
00:08:52,600 --> 00:08:57,400
why artists needs to have skills
obviously to paint and Draw.

176
00:08:57,400 --> 00:09:02,300
But the core of being an artist
is being able to observe analyze

177
00:09:02,500 --> 00:09:06,700
and to create something new
based on what you observed and

178
00:09:06,800 --> 00:09:11,600
this part of the creation and
analyzing is very useful.

179
00:09:11,600 --> 00:09:16,000
When you are doing a product
which is for people to use

180
00:09:16,000 --> 00:09:18,400
obviously digital products as
well.

181
00:09:19,000 --> 00:09:22,800
So, I didn't want to be a
starving artist because I didn't

182
00:09:22,800 --> 00:09:27,000
like that lifestyle and I
understood that you could.

183
00:09:27,100 --> 00:09:30,700
All these skills in order to
make something that it's needed

184
00:09:30,700 --> 00:09:34,600
on today's economy.
And that's why I design came in.

185
00:09:34,800 --> 00:09:39,200
And I joined an IT company that
was eight years ago.

186
00:09:39,200 --> 00:09:42,400
But before that, I also have my
own head of my own little start

187
00:09:42,400 --> 00:09:46,200
at where it was the beginning,
where people really started

188
00:09:46,200 --> 00:09:49,300
using smartphones like around 10
years ago.

189
00:09:49,800 --> 00:09:54,500
And I really liked that
interactive part of your product

190
00:09:54,600 --> 00:09:56,900
because you're building
something that's truly people.

191
00:09:57,100 --> 00:10:01,900
Really use and looking at how
people use it and then okay, I

192
00:10:01,900 --> 00:10:06,000
can do it better and observing
that and creating something that

193
00:10:06,000 --> 00:10:09,200
is alive.
It gives you so much pleasure

194
00:10:09,200 --> 00:10:12,200
and I don't know, that's a super
interesting combination there.

195
00:10:12,200 --> 00:10:15,700
Laura in the you know, the
origins of wanting to be an

196
00:10:15,700 --> 00:10:17,600
artist and that where you're
creating things.

197
00:10:17,600 --> 00:10:22,600
The I just wore the here just
appreciates and put it that much

198
00:10:22,600 --> 00:10:25,300
thought into something so that
you can have this.

199
00:10:26,100 --> 00:10:29,600
Flat medium or perhaps, sound
medium, what it sounds like in

200
00:10:29,600 --> 00:10:31,400
your case.
It's light medium that you know

201
00:10:31,700 --> 00:10:33,900
that that someone can appreciate
and enjoy.

202
00:10:34,200 --> 00:10:38,300
But then turning on the
interactivity angle.

203
00:10:39,200 --> 00:10:41,500
Yeah sure.
Basically it's the evolution of

204
00:10:41,500 --> 00:10:44,900
art.
But if this is a commercial use

205
00:10:44,900 --> 00:10:50,300
and I think people are
abandoning not really going in

206
00:10:50,300 --> 00:10:54,600
the museum, consuming art also
on the phones, their laptops

207
00:10:54,800 --> 00:10:59,300
listening and All that different
ways to interact that are

208
00:10:59,300 --> 00:11:02,600
present today and being able to
create something that people

209
00:11:02,600 --> 00:11:05,200
really use.
It's the best thing you can do

210
00:11:05,200 --> 00:11:08,800
as an artist actually, but I'm
not an artist.

211
00:11:08,900 --> 00:11:12,300
Obviously, I think you might
still be an artist, so will, you

212
00:11:12,300 --> 00:11:15,100
know, it don't sell yourself
short but, you know, just

213
00:11:15,100 --> 00:11:19,200
looking at your background and
seeing you move through, 2012

214
00:11:19,200 --> 00:11:25,700
2013, 14 into 15, you know, as a
designer freelancer digital

215
00:11:25,800 --> 00:11:31,900
Shiner and then for about seven
years it with sofa score.

216
00:11:32,300 --> 00:11:33,500
Yeah.
I tell us a little bit about

217
00:11:33,500 --> 00:11:36,600
that and how that's kind of
unfolded for you in terms of how

218
00:11:36,600 --> 00:11:38,600
you ended up meeting.
Well, yeah sure.

219
00:11:38,600 --> 00:11:43,400
So at the time I wanted to join
sulfur score it had already 1.5

220
00:11:43,400 --> 00:11:46,400
million active users so it
wasn't small.

221
00:11:46,400 --> 00:11:52,000
But when I left it was about 20
million active users, we can

222
00:11:52,100 --> 00:11:58,100
actually a huge number of users
and It's fun to look at all the

223
00:11:58,100 --> 00:12:02,200
comments that people have on
your product and also doing user

224
00:12:02,200 --> 00:12:06,100
research with so many users.
It's great planning the product

225
00:12:06,100 --> 00:12:10,400
for so many users and any change
that you want to make and how

226
00:12:10,400 --> 00:12:14,600
people react to those changes
deciding what to implement

227
00:12:14,600 --> 00:12:17,100
first.
Also based on comments and also

228
00:12:17,100 --> 00:12:22,400
based on popularity of certain
sports or a feature, always

229
00:12:22,400 --> 00:12:26,900
comparing yourself to
competition and And also, when

230
00:12:26,900 --> 00:12:30,000
you do something, when you have
a design that people start

231
00:12:30,000 --> 00:12:33,900
copying and then, you know, you
did something all that.

232
00:12:33,900 --> 00:12:37,300
Actually, it was fun to be
copied by someone else.

233
00:12:37,600 --> 00:12:43,200
And so, I still see a lot of my
ideas and things that I changed

234
00:12:43,200 --> 00:12:47,700
in The Way live score.
Looks that other apps are using

235
00:12:48,100 --> 00:12:52,300
and still even though I'm not in
the company anymore, I still

236
00:12:52,300 --> 00:12:57,800
look at my designs, their eyes.
Yeah, appreciate your own art.

237
00:12:58,200 --> 00:13:03,900
Can you show us that?
And it's really fun when I see

238
00:13:03,900 --> 00:13:08,300
other people looking at it, much
more than, you know, the way I

239
00:13:08,300 --> 00:13:11,800
consumed it because I always
just have the eye that still

240
00:13:11,800 --> 00:13:15,600
analyzes what I did.
But others are not so much

241
00:13:15,600 --> 00:13:20,300
analyzing, they're just enjoying
it, or using it as a tool for an

242
00:13:20,300 --> 00:13:24,600
everyday lives, which is great,
very good, very good.

243
00:13:24,700 --> 00:13:28,100
And then we'll Don't you may be
kind of round this out here and

244
00:13:28,100 --> 00:13:32,300
bring us together with how you
and Laura got together.

245
00:13:32,300 --> 00:13:35,500
Yeah, for sure.
So last September, my friend

246
00:13:35,500 --> 00:13:39,500
from University, phenol studied
with him in Barcelona, lived

247
00:13:39,500 --> 00:13:41,900
with him in Barcelona and then
we travel to Taiwan in San

248
00:13:41,900 --> 00:13:43,700
Francisco.
He got married.

249
00:13:43,700 --> 00:13:47,000
So I was over in Barcelona for
his wedding and obviously was

250
00:13:47,600 --> 00:13:51,200
during the pandemic and had been
nowhere in about 18 months.

251
00:13:51,200 --> 00:13:54,500
I was like, okay we're gonna use
this as a holiday you know

252
00:13:54,500 --> 00:13:56,500
jumping off point of Two days
for the wedding.

253
00:13:56,500 --> 00:13:59,600
But let's say in Barcelona for
an extra week like I do, when I

254
00:13:59,600 --> 00:14:02,500
go anywhere I'm always looking
up Meetup or Eventbrite, just to

255
00:14:02,500 --> 00:14:05,300
see what's happening in that
City that I'm in and turns out

256
00:14:05,300 --> 00:14:06,900
there was a sports betting
conference.

257
00:14:06,900 --> 00:14:11,400
So I used my text areas Sports
egg, live background.

258
00:14:11,400 --> 00:14:14,300
I say hey I'm from the media any
chance of a free ticket and they

259
00:14:14,300 --> 00:14:16,100
went yeah, that's absolutely
fine.

260
00:14:16,100 --> 00:14:19,400
But can you include a link in
our in the digest at help

261
00:14:19,400 --> 00:14:21,700
promote it.
So got free tickets went along

262
00:14:21,700 --> 00:14:23,300
and there was a bunch of
startups there and sofa score

263
00:14:23,300 --> 00:14:26,100
was there and I've been a user
of silver score for For a number

264
00:14:26,100 --> 00:14:29,800
of years and just have been
obsessed to bit about the design

265
00:14:29,800 --> 00:14:34,200
and how they, I guess, kind of
take pretty generic Sports data

266
00:14:34,500 --> 00:14:38,800
and turn them into pretty charts
and data visualizations to help

267
00:14:38,800 --> 00:14:41,100
me as a sports fan.
Can understand what's happening

268
00:14:41,100 --> 00:14:43,300
on the pitch.
So can I spoke with someone from

269
00:14:43,300 --> 00:14:46,600
sofa score did kind of a profile
on them for the newsletter?

270
00:14:46,600 --> 00:14:49,300
But it was kind of asking
questions about who's the

271
00:14:49,300 --> 00:14:50,500
designer?
You know.

272
00:14:50,500 --> 00:14:53,000
I use it as such.
Great product speaking with Emma

273
00:14:53,000 --> 00:14:56,200
from sofa score.
So I reached out to her Exit on

274
00:14:56,200 --> 00:14:59,300
LinkedIn and then found Laura
through Emma, and then it was

275
00:14:59,300 --> 00:15:02,100
messaging with Laura LinkedIn
after we connected you.

276
00:15:02,100 --> 00:15:04,700
So they I'm actually meeting
Emma tonight for a glass of wine

277
00:15:04,700 --> 00:15:07,100
after work.
So we kind of made arrangements

278
00:15:07,100 --> 00:15:09,300
Center to kind of meet up and
explain the product in more

279
00:15:09,300 --> 00:15:12,000
detail and kind of showed the
designs that I did.

280
00:15:12,000 --> 00:15:14,600
Because during the first lock
turn, I did a ui/ux course.

281
00:15:14,600 --> 00:15:17,800
So have very, very basic skills
there, but I think it was enough

282
00:15:17,800 --> 00:15:21,300
to kind of convey the message of
what I'm trying to build.

283
00:15:22,000 --> 00:15:24,100
That's the way to do it, you
know, the power of the network,

284
00:15:24,100 --> 00:15:24,600
right?
Yeah.

285
00:15:24,600 --> 00:15:28,200
Get out there and Well, go in
with an educated mindset.

286
00:15:28,200 --> 00:15:30,200
First on what it is that you're
looking for?

287
00:15:30,200 --> 00:15:32,800
Now it's great.
And Laura how did you feel about

288
00:15:32,800 --> 00:15:36,900
connecting with Willa first?
Yeah well I really like the idea

289
00:15:36,900 --> 00:15:41,000
because it was basically all
that I knew already.

290
00:15:41,000 --> 00:15:45,600
Also I was kind of new in the
blockchain to but it's a year

291
00:15:45,600 --> 00:15:49,500
now and you know how things in
the blockchain world are very

292
00:15:49,500 --> 00:15:54,800
fast in a year, you can really
get to learn a lot and the idea

293
00:15:54,800 --> 00:15:58,800
of merging those Two things into
one prediction Market.

294
00:15:59,200 --> 00:16:01,000
I liked it so from the very
start.

295
00:16:01,000 --> 00:16:05,100
So basically the idea was so
great that I said, okay, sure,

296
00:16:05,400 --> 00:16:09,200
let's do that.
Good and then Alex, your CTO.

297
00:16:09,300 --> 00:16:11,100
Tell us how you brought him into
the mix as well.

298
00:16:11,100 --> 00:16:13,400
Yes, it was funny.
We met John Hill at the start of

299
00:16:13,400 --> 00:16:17,000
the, the techstars program at
the former LinkedIn evangelist.

300
00:16:17,000 --> 00:16:20,100
And, yeah, I guess, LinkedIn
extraordinaire.

301
00:16:20,200 --> 00:16:23,000
I've had to power the network
and building relationships.

302
00:16:23,000 --> 00:16:26,200
So after it did start a weekend
and Francisco.

303
00:16:26,200 --> 00:16:29,200
After I did my masters, I kind
of got involved came back to

304
00:16:29,200 --> 00:16:32,300
Ireland decided.
Hey the cork ecosystem isn't as

305
00:16:32,300 --> 00:16:34,800
well connected to, this should
be in prison 2013.

306
00:16:34,800 --> 00:16:37,700
So decided to run started
pretending.

307
00:16:37,700 --> 00:16:41,300
It was kind of a very good
successful weekend, but after

308
00:16:41,300 --> 00:16:44,500
that, I kind of took the next
step in the startup weekend

309
00:16:44,500 --> 00:16:46,400
ecosystem, and that's becoming a
facilitator.

310
00:16:46,400 --> 00:16:51,000
So of facilitated events, all
throughout Europe, Canada,

311
00:16:51,000 --> 00:16:55,500
America, UK, Etc.
So in 2018 or 2017, I think of

312
00:16:55,700 --> 00:16:59,100
As Tech started started, doing
founder Khan in Europe, which

313
00:16:59,100 --> 00:17:02,000
was in Berlin, but they just
acquired startup weekend as

314
00:17:02,000 --> 00:17:03,800
well.
So they decided to do a

315
00:17:03,800 --> 00:17:08,800
facilitator, Khan and John Hill
represented in both rooms for

316
00:17:08,800 --> 00:17:10,700
the founders and for the
facilitators.

317
00:17:11,099 --> 00:17:14,500
And so he showed his skills of
how to make use of our Network.

318
00:17:14,500 --> 00:17:16,200
So that's how I found out Alex
essentially.

319
00:17:16,200 --> 00:17:20,200
So I was looking at the market
of prediction markets, found a

320
00:17:20,200 --> 00:17:23,800
successful competitor.
Check the box of when you're

321
00:17:23,800 --> 00:17:25,500
looking for someone they're X
company.

322
00:17:25,700 --> 00:17:30,400
You check the box for for that
competitor looked for react.

323
00:17:30,400 --> 00:17:33,000
So I was okay reacted, probably
the technology we're going to

324
00:17:33,000 --> 00:17:37,400
reuse and I think probably only
like two people who showed up,

325
00:17:37,400 --> 00:17:38,800
Alex is one of them.
Wow.

326
00:17:39,200 --> 00:17:43,700
So I kind of reached out to him
set up, a zoom call, kind of

327
00:17:43,700 --> 00:17:45,300
explain the idea.
And where was kind of coming

328
00:17:45,300 --> 00:17:48,900
from and yeah, he loved it.
So we just wow, we'd gotten the

329
00:17:48,900 --> 00:17:52,200
Grant from be Pro Network.
So kind of give us an initial

330
00:17:52,200 --> 00:17:55,900
funds so I could speak to Laura
and speak to Alex and say, Say,

331
00:17:56,500 --> 00:17:59,500
hey, we've made some little
progress, but I will need your

332
00:17:59,500 --> 00:18:04,000
help to unlock the idea and
start putting things in motion

333
00:18:04,000 --> 00:18:09,800
from a product perspective.
Hey everyone, this is Pete.

334
00:18:09,800 --> 00:18:11,300
Let me tell you about the folks
at Phillip.

335
00:18:11,300 --> 00:18:14,100
Lee few years ago.
Is that my first Venture Capital

336
00:18:14,100 --> 00:18:17,200
industry dinner in Dublin and
honestly I felt a bit lost.

337
00:18:17,500 --> 00:18:20,300
I bumped into Andrews is Ali.
One of the partners at Phillip

338
00:18:20,300 --> 00:18:22,600
Lee.
He bought me a pint introduced

339
00:18:22,600 --> 00:18:25,800
me to the team and they took me
under their wing that take you

340
00:18:25,800 --> 00:18:27,500
under their wing approach has
been what I've heard

341
00:18:27,500 --> 00:18:30,500
consistently from fintech.
And crypto startups who I know

342
00:18:30,500 --> 00:18:33,600
have worked with Phillip Lee and
Dublin in London to help them

343
00:18:33,600 --> 00:18:35,900
wrap the right legal framework
around their business.

344
00:18:35,900 --> 00:18:39,100
But Raising and Regulatory needs
and I can't recommend them

345
00:18:39,100 --> 00:18:40,900
enough.
Get in touch with a team at

346
00:18:40,900 --> 00:18:43,300
Phillip Lee dot IE or on money.
Never sleeps.

347
00:18:43,300 --> 00:18:45,500
That IE /.
Phillip Lee to learn more.

348
00:18:49,900 --> 00:18:51,700
That's fantastic, that's
fantastic.

349
00:18:51,700 --> 00:18:55,100
And that, you know, we're all
sitting there in the techstars

350
00:18:55,100 --> 00:18:57,000
cohort.
The beginning of April and

351
00:18:57,000 --> 00:18:59,800
listening to John.
He'll tell the story about how

352
00:18:59,800 --> 00:19:03,700
to use LinkedIn to the fullest
to find people, right at find

353
00:19:03,700 --> 00:19:07,500
customers, find Talent.
You would already done that.

354
00:19:08,000 --> 00:19:09,400
Yeah.
And I have to thank John

355
00:19:09,400 --> 00:19:13,000
afterwards because I didn't even
realize I was doing that and

356
00:19:13,000 --> 00:19:16,700
they just kind of sat through
session multiple years before it

357
00:19:16,700 --> 00:19:19,600
just became a habit of what I've
done and I'm doing similar right

358
00:19:19,600 --> 00:19:22,900
now for on the marketing side.
Wow, Community manager.

359
00:19:22,900 --> 00:19:24,600
Type Grill.
Yeah, powerful stuff.

360
00:19:24,900 --> 00:19:27,000
Shadow John Hill.
Very good.

361
00:19:27,200 --> 00:19:29,000
All right.
We'll listen, tell us.

362
00:19:29,000 --> 00:19:32,300
What is live tool?
Well, and why is it unique?

363
00:19:32,600 --> 00:19:34,800
And why is this?
Something that just makes so

364
00:19:34,800 --> 00:19:37,600
much sense for the A of you to
be working on right now.

365
00:19:38,800 --> 00:19:41,800
Yeah, so I left you a lizard,
E5, pirate Sports prediction

366
00:19:41,800 --> 00:19:43,900
market and life, an engagement
platform.

367
00:19:43,900 --> 00:19:46,700
So I guess the deep buzzwords
that please do.

368
00:19:47,000 --> 00:19:51,400
Yeah.
So prediction markets are, you

369
00:19:51,400 --> 00:19:54,400
know, sports betting companies,
they could be stock markets and

370
00:19:54,400 --> 00:19:56,800
so we're focused very much on
the sports side of things.

371
00:19:56,900 --> 00:20:00,600
What I love about sports is
Everyone said, oh the outcome,

372
00:20:00,700 --> 00:20:02,400
everyone thinks they might know
Lyoko more.

373
00:20:02,400 --> 00:20:04,800
Everyone will have an opinion on
what's going to happen.

374
00:20:04,800 --> 00:20:07,400
So being able to gamify at that
kind of side of things and what

375
00:20:07,400 --> 00:20:11,000
else are having a financial
incentive for the winners or the

376
00:20:11,000 --> 00:20:13,900
person who has the most
knowledge, ER, can predict the

377
00:20:13,900 --> 00:20:15,500
future.
Because when you look at

378
00:20:15,700 --> 00:20:18,700
markets, you know,
financialization of them makes

379
00:20:18,700 --> 00:20:21,100
them more efficient over time or
at least that's the, the general

380
00:20:21,100 --> 00:20:24,800
concept behind the stock market.
So yeah, as a huge sports fan

381
00:20:24,800 --> 00:20:27,400
and as a former Trader, I kind
of wanted to bring the two

382
00:20:27,400 --> 00:20:30,600
together and see what benefits.
Having the two together could

383
00:20:30,600 --> 00:20:32,000
make.
So when you look at the sports

384
00:20:32,000 --> 00:20:36,100
betting industry, you know, it's
very much The House Always Wins

385
00:20:36,100 --> 00:20:38,500
type philosophy and the reason
they were in is because there's

386
00:20:38,800 --> 00:20:43,200
a include a 5 to 20%.
What is essentially a fee into

387
00:20:43,200 --> 00:20:45,900
the big picture?
He had the vague exactly for

388
00:20:45,900 --> 00:20:48,600
from America, don't know what
the European kind of version is

389
00:20:48,600 --> 00:20:52,400
but by removing the house you
don't need to charge such high

390
00:20:52,400 --> 00:20:54,400
rates.
So we believe that can deliver a

391
00:20:54,408 --> 00:20:57,000
better product and to the
end-user that they've Affair

392
00:20:57,000 --> 00:20:58,400
will come.
So when I was watching March

393
00:20:58,400 --> 00:21:02,500
Madness, A flip of a coin on the
spread better dollar to win 80

394
00:21:02,500 --> 00:21:05,600
cents.
That's a very terrible result,

395
00:21:05,600 --> 00:21:08,500
because it's a coin toss.
You should be hidden close to

396
00:21:08,500 --> 00:21:13,100
the dollar in return, right?
So we believe with using the

397
00:21:13,100 --> 00:21:16,200
power of D Phi and the
blockchain better dollar when 96

398
00:21:16,200 --> 00:21:18,500
cents of see there's still kind
of fees involved but that's a

399
00:21:18,508 --> 00:21:21,200
20% uplift from traditional
Sports books.

400
00:21:21,300 --> 00:21:23,900
Got it you got me thinking now.
Well you really got me thinking

401
00:21:23,900 --> 00:21:27,200
now is there a way that this can
go that says you can actually

402
00:21:27,200 --> 00:21:29,000
get better at predicting the
outcome?

403
00:21:29,200 --> 00:21:31,300
Sports games.
Yeah, absolutely.

404
00:21:31,400 --> 00:21:34,700
Yo, we see in the data explosion
in sports, I guess us.

405
00:21:34,700 --> 00:21:38,200
Ports are probably led the way
with all the data that comes out

406
00:21:38,200 --> 00:21:41,500
of each individual.
Us sport, like, baseball is

407
00:21:41,700 --> 00:21:44,700
pretty much a game stats.
Mmm, hence money both, they're

408
00:21:44,700 --> 00:21:47,400
able to sign players that were
undervalued.

409
00:21:47,400 --> 00:21:49,100
That delivered them a World
Series.

410
00:21:49,100 --> 00:21:53,800
Every season in say soccer,
there's new stats being created

411
00:21:53,800 --> 00:21:56,500
and being marketed essentially,
you know, Amazon of done, a

412
00:21:56,500 --> 00:22:00,200
great job of so called next-gen.
It's, they're doing it for the

413
00:22:00,200 --> 00:22:02,200
NFL during a rugby.
They're doing it for soccer.

414
00:22:02,200 --> 00:22:05,300
They're doing it for formula.
One because each individual game

415
00:22:05,300 --> 00:22:08,000
is producing so much data.
Each individual data point is

416
00:22:08,000 --> 00:22:11,000
something that can be tracked
and measured and correlated and

417
00:22:11,000 --> 00:22:15,000
put into a model that in the
future might help people predict

418
00:22:15,100 --> 00:22:17,200
better than the average for
sports games.

419
00:22:17,600 --> 00:22:21,200
And we haven't even kind of
gotten into the areas around the

420
00:22:21,200 --> 00:22:23,500
data that's coming off the
individual athlete and just kind

421
00:22:23,500 --> 00:22:27,500
of a big debate right now of who
owns the data coming out from

422
00:22:27,500 --> 00:22:31,800
the Appellate so heart race.
Rest recovery, VO2 max has

423
00:22:31,800 --> 00:22:33,700
distance covered.
All these kind of interesting

424
00:22:33,700 --> 00:22:36,300
data points that could
potentially form part of a

425
00:22:36,300 --> 00:22:38,700
prediction model to help people
predict sports.

426
00:22:38,700 --> 00:22:42,600
But what I love about prediction
markets is it's the wisdom of

427
00:22:42,608 --> 00:22:44,300
the crowd.
So we read that book when I was

428
00:22:44,300 --> 00:22:48,500
in first year economics.
And you know, the theory is get

429
00:22:48,500 --> 00:22:51,700
a large enough pool of people to
make a prediction, will be

430
00:22:51,700 --> 00:22:55,200
better than any one person or
any one expert in that group.

431
00:22:55,700 --> 00:22:58,500
That's what I really love about
prediction markets and markets

432
00:22:58,500 --> 00:23:01,500
in general.
Is that whatever the price says

433
00:23:01,500 --> 00:23:04,700
or whatever, the trading figure
is, that's everyone's best.

434
00:23:04,700 --> 00:23:07,800
Guess at that moment in time,
doesn't mean it's right.

435
00:23:08,000 --> 00:23:11,700
But that's the combined wisdom
of hundreds of thousands or

436
00:23:11,700 --> 00:23:13,700
hundreds of thousands of
participants say so.

437
00:23:14,100 --> 00:23:17,600
Yeah, very excited to see the
coming together of prediction

438
00:23:17,600 --> 00:23:20,900
markets Plus data.
And you know, when we did when I

439
00:23:20,900 --> 00:23:22,700
did the machine learning thing,
it was all about building.

440
00:23:22,700 --> 00:23:25,800
Those models of taking in data
points to have an output and I

441
00:23:25,808 --> 00:23:30,400
love to kind of get back there.
Yeah, yeah, no, it's fascinating

442
00:23:30,500 --> 00:23:34,600
and I'm thinking Laura that
there is a responsibility here.

443
00:23:34,600 --> 00:23:38,100
This product designer not even
responsibility but at a strong

444
00:23:38,100 --> 00:23:43,000
need to say okay will and I are
riffing right now on statistical

445
00:23:43,000 --> 00:23:46,500
models and this incredible
complexity of the art of the

446
00:23:46,500 --> 00:23:48,800
possible or the stat of the
possible, whatever you want to

447
00:23:48,808 --> 00:23:51,400
call it.
And there's then the need to

448
00:23:51,400 --> 00:23:54,400
abstract all that complexity
away and put something in the

449
00:23:54,400 --> 00:23:57,200
users hands.
That is simple and easy for them

450
00:23:57,200 --> 00:24:00,600
to understand.
And How do you balance this

451
00:24:00,600 --> 00:24:03,500
complexity with all?
That is possible with data and

452
00:24:03,500 --> 00:24:06,500
statistics and the wisdom of the
crowd like you're saying we'll

453
00:24:06,500 --> 00:24:10,300
with the need to create a usable
product that surprises and

454
00:24:10,300 --> 00:24:11,800
delights people.
How do you do that?

455
00:24:11,800 --> 00:24:16,100
Yeah, so first of all, of course
you need to understand all the

456
00:24:16,100 --> 00:24:20,600
data and what they mean, and
think about new ways to use the

457
00:24:20,600 --> 00:24:25,300
data and the creativity, there
is a with people who are very

458
00:24:25,300 --> 00:24:31,000
knowledgeable to decide, okay?
How can we use the data and when

459
00:24:31,000 --> 00:24:34,400
you know how and when you know
what's the main goal with the

460
00:24:34,400 --> 00:24:39,100
data, you gathered, you want to
obstruct, everything that people

461
00:24:39,100 --> 00:24:42,300
don't need all the info that
they don't really need to know

462
00:24:42,300 --> 00:24:46,000
exactly.
And to do that in a way that

463
00:24:46,000 --> 00:24:49,700
really people do understand.
And for that, when you have your

464
00:24:49,700 --> 00:24:55,000
sketches, your ideas, or with
all the data and the views, and

465
00:24:55,000 --> 00:24:58,400
the graphs, you have to test
that you just have.

466
00:24:58,600 --> 00:25:01,200
Show it to as many people as you
can.

467
00:25:01,400 --> 00:25:06,700
Ideally 15-5 is already enough
to show if it's working or not.

468
00:25:06,700 --> 00:25:10,200
But 115, people really
understand what you wanted to

469
00:25:10,200 --> 00:25:14,700
show then that's perfect.
So basically the process of

470
00:25:14,800 --> 00:25:19,000
gathering the load so my ideas
and then to narrow it down to

471
00:25:19,200 --> 00:25:23,300
and sometimes it will not work
and you have to be you have to

472
00:25:23,300 --> 00:25:26,400
be ready to bin all the work you
did.

473
00:25:26,400 --> 00:25:29,100
If it doesn't work if people
don't Understand it.

474
00:25:29,100 --> 00:25:32,600
It's more.
It's more of an obstruction for

475
00:25:32,900 --> 00:25:36,500
as user experience into because
sometimes you just don't need

476
00:25:36,500 --> 00:25:39,600
the extra breath.
And yeah, yeah, yeah.

477
00:25:39,608 --> 00:25:42,800
How many conversations do you
need to do to get to 15 the get

478
00:25:42,800 --> 00:25:46,300
it?
Well, teaching this on people's.

479
00:25:46,400 --> 00:25:48,000
Okay, no.
I thought you made you go out to

480
00:25:48,000 --> 00:25:51,700
like a thousand people and you
try to get to 15 that would say

481
00:25:51,700 --> 00:25:53,800
oh yeah I get that.
I really hope that makes sense

482
00:25:53,800 --> 00:26:00,700
to me.
You don't need to show it to so

483
00:26:00,700 --> 00:26:02,200
many people.
I gotcha.

484
00:26:02,300 --> 00:26:05,800
I gotcha.
People will already show almost

485
00:26:05,800 --> 00:26:10,400
100 of problems of the sea or
user experience or, yeah,

486
00:26:10,500 --> 00:26:14,200
because that way, if you didn't
do it, he wouldn't expect for

487
00:26:14,200 --> 00:26:18,200
some problems to come up so
quickly, then repeat themselves,

488
00:26:18,200 --> 00:26:22,000
but they do when you start
showing people, you get it in

489
00:26:22,000 --> 00:26:25,700
the much clearer way and you
would never tell that five

490
00:26:25,700 --> 00:26:28,900
people will would have the same
issue but they They do.

491
00:26:29,300 --> 00:26:31,400
So, that's something that you
want to tackle as fast as

492
00:26:31,400 --> 00:26:34,500
possible.
I got you, that makes sense and

493
00:26:34,500 --> 00:26:35,900
willed, shifting gears a little
bit.

494
00:26:36,000 --> 00:26:38,500
Why don't you tell us about
who's replacing the house,

495
00:26:38,900 --> 00:26:40,400
right?
When you think about the house

496
00:26:40,400 --> 00:26:43,400
that provides liquidity to be
able to take different sides of

497
00:26:43,400 --> 00:26:45,500
the BET?
And like like we said, take the

498
00:26:45,500 --> 00:26:48,800
vague as well with live dual.
What is the plan for replacing

499
00:26:48,800 --> 00:26:50,400
the house?
And replacing that liquidity?

500
00:26:50,500 --> 00:26:53,500
Yeah, no, it's a very
interesting kind of problem.

501
00:26:53,800 --> 00:26:56,400
When you remove the house, you
remove quite a lot.

502
00:26:56,500 --> 00:27:00,300
So when I first came up with the
idea for the It was I guess they

503
00:27:00,300 --> 00:27:01,900
kind of started the Game.
Stop Mania.

504
00:27:02,100 --> 00:27:05,200
I'm not that kind of shower
thought of oh like Robin Hood

505
00:27:05,200 --> 00:27:07,700
has done an amazing job of
taking a complicated financial

506
00:27:07,700 --> 00:27:10,300
transaction and make it a very
seamless process.

507
00:27:10,300 --> 00:27:13,300
So I was like that would be a
very interesting thing to do for

508
00:27:13,300 --> 00:27:16,600
the World of Sports.
So what down that rabbit hole of

509
00:27:16,600 --> 00:27:19,200
what of Robin Hood built, a
prediction market for sports and

510
00:27:19,200 --> 00:27:21,100
Esports.
Well that's where the idea came

511
00:27:21,100 --> 00:27:23,400
out of.
So the crypto side came

512
00:27:23,400 --> 00:27:26,900
secondary to that because I was
facing the issue of liquidity

513
00:27:26,900 --> 00:27:29,000
provision.
So it was a pure Or exchange,

514
00:27:29,000 --> 00:27:31,000
you need to find people on both
sides of the market.

515
00:27:31,000 --> 00:27:33,000
So that obviously wasn't going
to work because that's really,

516
00:27:33,000 --> 00:27:35,500
really hard to scale.
This, you have to find a Boston

517
00:27:35,500 --> 00:27:38,300
Red Sox fan to match with every
Yankees fan.

518
00:27:38,300 --> 00:27:40,000
So they actually can trade
against each other.

519
00:27:40,200 --> 00:27:44,200
Whereas, I'm not sure which team
is the better team, but I'll, I

520
00:27:44,200 --> 00:27:46,500
know comment on that, this week,
you'll come to learn that this

521
00:27:46,500 --> 00:27:48,600
week.
Yeah, I might use a soccer

522
00:27:48,600 --> 00:27:50,900
example, so, so I'm, but, no,
really?

523
00:27:50,900 --> 00:27:52,500
You would go.
Go ahead and use the Red Sox and

524
00:27:52,500 --> 00:27:54,200
Yankees if you want.
But, I'm just gonna click like,

525
00:27:54,200 --> 00:27:55,900
and talk about how the Red Sox
are performing.

526
00:27:56,000 --> 00:27:58,300
We don't talk about the Red Sox.
Yeah.

527
00:27:59,200 --> 00:28:01,800
Yes we can Spurs are doing
really well, looks like they're

528
00:28:01,800 --> 00:28:03,700
going to get Champions League,
fingers crossed.

529
00:28:03,700 --> 00:28:06,300
I haven't jinxed it, but there
might be 100 people that want to

530
00:28:06,300 --> 00:28:08,400
bet on Spurs, get in the
Champions League because

531
00:28:08,400 --> 00:28:10,000
they're, you know, two points
ahead.

532
00:28:10,000 --> 00:28:13,000
But one game to go and a
relatively easy game, the end,

533
00:28:13,300 --> 00:28:15,400
there's 10 people might only
want to bet on Arsenal.

534
00:28:15,500 --> 00:28:17,700
They've hired two fixtures or
two points behind is only one

535
00:28:17,700 --> 00:28:21,500
game left.
So, in a traditional exchange,

536
00:28:21,700 --> 00:28:24,600
10 of those trades, could get
mash-off it off each other and

537
00:28:24,600 --> 00:28:28,300
then the another 90 Spurs bets
that will kind of go unmatched.

538
00:28:28,600 --> 00:28:31,100
Traditionally, I've see if it's
against the house, the house

539
00:28:31,100 --> 00:28:33,700
would take the other side of
those 90 bets.

540
00:28:34,000 --> 00:28:36,300
But when you go for a peer to
peer exchange, there's any bets

541
00:28:36,300 --> 00:28:38,200
that will go on Match, which is
a terrible experience,

542
00:28:38,200 --> 00:28:40,900
obviously.
So that was a key kind of part

543
00:28:40,900 --> 00:28:43,000
of life duels, like, how do we
solve that issue?

544
00:28:43,000 --> 00:28:47,300
And then the more I kind of got
into decentralised finance and

545
00:28:47,300 --> 00:28:49,300
the world.
The crypto is like, okay, that's

546
00:28:49,300 --> 00:28:51,500
where the liquidity prisons
going to come from.

547
00:28:51,500 --> 00:28:54,300
So part of the life, drill
strategy is to attract liquidity

548
00:28:54,300 --> 00:28:58,300
providers, people who put in
money stake it will create

549
00:28:58,500 --> 00:29:01,100
Liquidity pool.
And then the end-users

550
00:29:01,100 --> 00:29:03,100
effectively trading against that
liquidity pool.

551
00:29:03,100 --> 00:29:06,700
So we'll move that liquidity to
the different markets where

552
00:29:06,700 --> 00:29:09,400
there's demand.
So this weekend might be okay

553
00:29:09,400 --> 00:29:12,300
despite his verses are some
example then on Sunday evening,

554
00:29:12,300 --> 00:29:17,300
it might be the Red Sox versus
the Yankees and basic a virtuous

555
00:29:17,300 --> 00:29:20,700
cycle kind of moving around,
picking up the vague and

556
00:29:20,800 --> 00:29:22,800
delivering a return for the
liquidity providers.

557
00:29:22,900 --> 00:29:24,300
Yeah.
And as long as the yield that

558
00:29:24,300 --> 00:29:28,000
you're paying to liquidity
providers is at the right level

559
00:29:28,000 --> 00:29:30,500
where the Economics of your
platform, Works where the fees

560
00:29:30,500 --> 00:29:32,400
that you're taking in your
generating enough.

561
00:29:32,400 --> 00:29:36,600
He's in order to pay that yield
but still keep a profit going.

562
00:29:36,700 --> 00:29:40,100
Then you've got a nice little
mini economy going there, which

563
00:29:40,100 --> 00:29:43,000
is the nature of web, 32
building an economy rather than

564
00:29:43,000 --> 00:29:44,400
building a company.
Yeah, exactly.

565
00:29:44,400 --> 00:29:46,900
And I guess by economics
background, I've been very

566
00:29:46,900 --> 00:29:49,300
focused on the kind of aspect
from the very, very beginning.

567
00:29:49,300 --> 00:29:51,900
Because essentially you're
creating your own closed

568
00:29:51,900 --> 00:29:54,800
economy, I'll see there's kind
of externalities and external

569
00:29:54,800 --> 00:29:59,200
factors at play but, you know,
essentially you're Keep people

570
00:29:59,200 --> 00:30:01,200
in your economy and growth over
time.

571
00:30:01,700 --> 00:30:06,000
Very good thinking about how big
this can all get right in that

572
00:30:06,000 --> 00:30:08,900
when you know, that
decentralized element liquidity

573
00:30:08,900 --> 00:30:13,700
pools, replacing the house, and
that expecting live dual to be

574
00:30:14,000 --> 00:30:17,400
incredibly successful with that,
well, in Laura and Alex in In

575
00:30:17,400 --> 00:30:20,900
Absentia as well.
That it shout out to Alex C is

576
00:30:20,900 --> 00:30:24,000
at permissionless in Palm Beach.
As I understand, I just saw a

577
00:30:24,000 --> 00:30:26,500
picture of him with a couple of
other folks from the techstars

578
00:30:26,500 --> 00:30:28,200
cohort.
So shout out to Lou.

579
00:30:28,400 --> 00:30:32,000
Lucas Bruhl and Victor Lee who
are there in Palm Beach with

580
00:30:32,000 --> 00:30:34,600
him.
So just to use the example from

581
00:30:34,600 --> 00:30:39,000
baseball, as we talked about
this whole Moneyball angle, that

582
00:30:39,100 --> 00:30:43,500
there is a stat in baseball
called wins above replacement or

583
00:30:43,500 --> 00:30:48,100
wa are War.
And what that basically is, is

584
00:30:48,100 --> 00:30:50,900
that how many wins does a
particular player?

585
00:30:51,300 --> 00:30:54,200
Contribute, what are their
statistics in aggregate

586
00:30:54,200 --> 00:30:57,100
responsible for in terms of the
number of games that their team

587
00:30:57,200 --> 00:30:59,800
wins base?
On their performance in the game

588
00:31:00,400 --> 00:31:03,500
and that it's a very, very
complicated statistical but it's

589
00:31:03,500 --> 00:31:06,100
used a lot.
Best players sometimes

590
00:31:06,100 --> 00:31:09,000
responsible for 10 wins per
year, okay?

591
00:31:09,400 --> 00:31:14,700
And if a major league baseball
team has 81 games per year in

592
00:31:14,700 --> 00:31:17,200
their home stadium, another 81
games away.

593
00:31:17,200 --> 00:31:20,400
This is not including the
playoffs, then you can say that,

594
00:31:20,600 --> 00:31:22,200
okay?
If they're responsible for 10

595
00:31:22,200 --> 00:31:24,500
wins per year, just to that
half, and half and save you

596
00:31:24,500 --> 00:31:28,200
responsible for five wins in the
home stadium out of 80.

597
00:31:28,400 --> 00:31:31,300
One games per year, that one
single player, okay?

598
00:31:31,700 --> 00:31:36,900
And so what's the revenue that
that team makes four tickets for

599
00:31:36,900 --> 00:31:41,500
those 81 games that they play?
And the better teams win, more

600
00:31:41,900 --> 00:31:44,300
more bums on seats.
The more tickets sold so you can

601
00:31:44,300 --> 00:31:48,000
back into what should I pay
somebody, right?

602
00:31:48,200 --> 00:31:51,200
You can say that based upon the
average number of wins, they're

603
00:31:51,200 --> 00:31:54,100
going to create a win.
Will put X number of people in

604
00:31:54,100 --> 00:31:57,800
seats and create that much in
ticket sales and advertising

605
00:31:57,800 --> 00:32:00,100
Revenue.
TV deal in licensing, deals, all

606
00:32:00,100 --> 00:32:02,100
that type of stuff.
You can actually go to that

607
00:32:02,100 --> 00:32:02,800
length.
Do this.

608
00:32:02,800 --> 00:32:08,200
I think that's, you know, a lot
of that type of math is used and

609
00:32:08,200 --> 00:32:10,700
how baseball Executives come up
with salaries that they're going

610
00:32:10,700 --> 00:32:13,700
to pay to their players.
You could go to the nth degree

611
00:32:13,700 --> 00:32:16,900
with Statistics, that you're
going to gather here and what

612
00:32:16,900 --> 00:32:20,400
you make available for people to
be able to predict.

613
00:32:20,400 --> 00:32:22,900
And then also folks on the other
side to be able to provide

614
00:32:22,900 --> 00:32:25,500
liquidity for.
Have you put much thought into

615
00:32:25,600 --> 00:32:29,100
how this looks.
And you know, when The liquidity

616
00:32:29,100 --> 00:32:31,800
pools do take over for the house
and what this element of

617
00:32:31,808 --> 00:32:35,000
decentralization can do to
unlock a lot more value in this

618
00:32:35,000 --> 00:32:38,000
space.
Yeah, it's a really, really

619
00:32:38,000 --> 00:32:41,800
interesting points because data
is exploding, every data point

620
00:32:41,800 --> 00:32:45,600
is a potential market for us.
But I guess to appoint earlier,

621
00:32:45,700 --> 00:32:48,800
you know, we need to be kind of
laser focused and make it as

622
00:32:49,100 --> 00:32:51,100
easy as possible for people to
come on board.

623
00:32:51,100 --> 00:32:54,000
So we're going to be launching
with three different markets for

624
00:32:54,000 --> 00:32:55,700
a typical sports or Esports
game.

625
00:32:55,700 --> 00:32:57,900
You know who's going to win
it'll be over and under a

626
00:32:57,900 --> 00:33:02,400
certain Home run number or in
soccer at certain goal number

627
00:33:02,700 --> 00:33:06,700
and then the spray it till the
favorite - half a point or half

628
00:33:06,700 --> 00:33:10,900
a goal, the underdog plus or
minus the the opposite amount.

629
00:33:10,900 --> 00:33:14,000
So the reason we're doing that
is that we want to focus our

630
00:33:14,000 --> 00:33:19,800
liquidity into the primary
markets and 80% of what's bet on

631
00:33:19,800 --> 00:33:22,400
at the moment comes from those
three markets because the key

632
00:33:22,400 --> 00:33:25,000
thing about those markets is
that they go live and in play

633
00:33:25,000 --> 00:33:27,700
and will be active from two
weeks for the game.

634
00:33:28,300 --> 00:33:30,300
Starts right up to the final
whistle.

635
00:33:30,400 --> 00:33:33,900
So that kind of that live
element is where the lion share

636
00:33:33,900 --> 00:33:36,100
of liquidity kind of comes into
the market.

637
00:33:36,100 --> 00:33:38,800
So we're going to focus on those
initially, but then, as you say

638
00:33:38,800 --> 00:33:41,100
like there's there's so much
data, there's so much potential

639
00:33:41,100 --> 00:33:44,300
markets and I guess fantasy
sports have taken a lead here of

640
00:33:44,300 --> 00:33:48,500
taking data and turning it in
the gamification into a game of

641
00:33:48,500 --> 00:33:52,600
competition and bragging rights
ham for friends again, friends

642
00:33:52,600 --> 00:33:55,700
or friends against other groups.
So yeah, over time we will kind

643
00:33:55,700 --> 00:33:58,900
of look more at the the esoteric
kind of one's of Specific

644
00:33:58,900 --> 00:34:03,200
players, you know, we are a, is
a big one in basketball points,

645
00:34:03,200 --> 00:34:05,900
rebounds, and assists.
We have an over and under and

646
00:34:05,900 --> 00:34:07,400
that I think would be
phenomenal.

647
00:34:07,400 --> 00:34:12,100
But for us, for right now, we
need to focus for the users into

648
00:34:12,100 --> 00:34:14,400
the the primary Market.
But we also need to focus our

649
00:34:14,400 --> 00:34:16,900
liquidity.
So we're not having loads of

650
00:34:16,908 --> 00:34:20,400
different little silos and
splintering off into a market

651
00:34:20,400 --> 00:34:24,000
that might only generate, you
know, 1% of of the action.

652
00:34:24,000 --> 00:34:27,199
But Orion as we grow and scale
that becomes totally possible.

653
00:34:27,500 --> 00:34:29,400
This is the typical really
humbling conversation.

654
00:34:29,400 --> 00:34:32,100
I have with Founders a lot of
the time which appeal is an

655
00:34:32,100 --> 00:34:33,199
awesome idea.
But you know what?

656
00:34:33,199 --> 00:34:35,199
We got to focus.
Yeah.

657
00:34:36,000 --> 00:34:39,100
Which is so true.
That's why it's like okay, stick

658
00:34:39,100 --> 00:34:41,000
this one in number 37.
On the backlog.

659
00:34:41,000 --> 00:34:43,100
Yeah.
Yeah, it's all there.

660
00:34:43,400 --> 00:34:45,699
It's all there.
I've gone through numerous

661
00:34:45,699 --> 00:34:48,699
things in my mind and yeah
there's huge potential there but

662
00:34:48,699 --> 00:34:51,199
yeah the starting point three
markets.

663
00:34:51,500 --> 00:34:53,400
Keep very good, very good.
No I get that.

664
00:34:53,400 --> 00:34:56,300
The so yeah three markets
getting liquidity.

665
00:34:56,300 --> 00:34:58,200
Going Laura from a product
perspective.

666
00:34:58,400 --> 00:35:01,100
Dave, and the user perspective,
what is the biggest objective

667
00:35:01,100 --> 00:35:03,800
for 2022 and hands?
Possibly the biggest challenge

668
00:35:03,800 --> 00:35:08,400
right now to get that done.
Get the initial 1,000 users.

669
00:35:09,400 --> 00:35:11,000
Yeah, that's it.
Yeah, that's it.

670
00:35:11,000 --> 00:35:15,000
That's that's the story because
it grows exponentially from

671
00:35:15,000 --> 00:35:18,600
there because if 1000 people
really love your product then

672
00:35:19,000 --> 00:35:23,500
you are, you know that you're
able to scale it so true, so

673
00:35:23,500 --> 00:35:25,100
true.
I mean Lori, you're so right,

674
00:35:25,100 --> 00:35:27,900
it's about getting people who
absolutely love your product.

675
00:35:28,300 --> 00:35:30,400
Want to use it all the time.
We want to tell that people

676
00:35:30,400 --> 00:35:31,800
about it, you know?
Yeah.

677
00:35:32,000 --> 00:35:36,000
Because that's was also how I
saw that surface current grow at

678
00:35:36,000 --> 00:35:40,500
the beginning because when you
are starting out you don't want

679
00:35:40,500 --> 00:35:44,200
to overuse so much money for
marketing purposes, it because

680
00:35:44,200 --> 00:35:46,300
you're still focused on building
the product.

681
00:35:46,300 --> 00:35:51,000
If you're doing a big marketing
before having a product that's

682
00:35:51,000 --> 00:35:54,600
good enough then then I think
it's gonna fail but that's just

683
00:35:54,600 --> 00:35:57,600
my opinion.
Maybe people I just use

684
00:35:57,600 --> 00:35:59,200
marketing.
Much as they can.

685
00:35:59,200 --> 00:36:03,900
But if it grows in a natural way
where people are recommending

686
00:36:03,900 --> 00:36:08,200
your product, and they are
friends are also using it, it's

687
00:36:09,200 --> 00:36:15,100
more stable structure to build
forward, rather than having huge

688
00:36:15,100 --> 00:36:20,300
marketing, a lot of new users.
But also they might not stayed

689
00:36:20,300 --> 00:36:23,500
and not use it.
And if you have one person who

690
00:36:23,700 --> 00:36:28,100
came in quite early with your
product, you have also a loyal

691
00:36:28,200 --> 00:36:32,000
Hello, oil Trend who will use
your product and also when you

692
00:36:32,000 --> 00:36:36,100
have a contact with the users
and you reaching out to hear

693
00:36:36,100 --> 00:36:39,900
their perspective and you
implement, you, you make the

694
00:36:39,900 --> 00:36:44,800
product better based on their
opinions, they feel the product

695
00:36:44,800 --> 00:36:48,000
is right for them, they feel
better connection with the whole

696
00:36:48,000 --> 00:36:52,000
brand and the product.
So, also a way of the

697
00:36:52,000 --> 00:36:55,300
centralizing is not only the
centralizing violence in the

698
00:36:55,308 --> 00:36:59,900
product is the centralizing, the
way, the Product gets built.

699
00:37:00,200 --> 00:37:05,400
Obviously as we are overlooking,
the product deciding some things

700
00:37:05,400 --> 00:37:08,700
but also giving it to other
people to decide, which is the

701
00:37:08,700 --> 00:37:11,900
next big feature that we're
going to implement which is the

702
00:37:11,900 --> 00:37:16,800
next Market or sports that we
want to have in the app and when

703
00:37:16,800 --> 00:37:19,200
most of the users want, I don't
know.

704
00:37:19,200 --> 00:37:23,000
Baseball before we go do that.
Yeah, no that's feels very much

705
00:37:23,000 --> 00:37:25,300
like a dow.
So live Downs that alive dual

706
00:37:26,100 --> 00:37:28,100
Christmas.
I do own life.

707
00:37:28,200 --> 00:37:30,900
Killed our tell.
So, yeah, the good good.

708
00:37:32,200 --> 00:37:35,500
That's awesome.
Listen, I'd it's, you know, one

709
00:37:35,500 --> 00:37:39,900
of the things that I always
think about when I'm when I'm

710
00:37:39,900 --> 00:37:43,400
doing these conversations is
that, you know, they were at a

711
00:37:43,400 --> 00:37:46,400
certain point in time with any
of the founders that we talked

712
00:37:46,400 --> 00:37:49,100
to on this podcast.
And that there is so much energy

713
00:37:49,100 --> 00:37:53,300
and enthusiasm and optimism and
expectation here as to where we

714
00:37:53,300 --> 00:37:57,500
all go next and given given the
chat we had today, I'm even more

715
00:37:57,500 --> 00:37:59,800
fueled with that.
So with that, I'd like to move

716
00:37:59,800 --> 00:38:03,200
to the last question that we
asked everybody on this podcast

717
00:38:03,200 --> 00:38:05,800
which is what is one thing that
we wouldn't expect to know about

718
00:38:05,800 --> 00:38:07,600
you and will we could start with
you.

719
00:38:07,700 --> 00:38:09,900
Yeah.
I think Hugh thought I was going

720
00:38:09,900 --> 00:38:12,200
to be shorter.
He's like God, you look a lot

721
00:38:12,400 --> 00:38:13,900
taller in real life than you do
and zoom.

722
00:38:13,900 --> 00:38:17,000
So maybe a huge Pacific on
people on the program as well.

723
00:38:17,000 --> 00:38:19,400
When I kind of said that I'm
more of an introvert.

724
00:38:19,400 --> 00:38:21,500
People are like, no way.
Never have guessed that.

725
00:38:21,500 --> 00:38:24,100
So that's maybe another one
because I'm quite, so sure, but

726
00:38:24,500 --> 00:38:27,500
definitely love the, the more
introverted kind of Lifestyle,

727
00:38:27,500 --> 00:38:29,700
but yeah.
I guess the fun fact about me is

728
00:38:29,700 --> 00:38:32,200
that I collect Flags.
Yeah, every country I go to, I

729
00:38:32,200 --> 00:38:36,300
pick up whether it's a small,
tiny little one or a full-size

730
00:38:36,300 --> 00:38:39,900
one, not sure where I kind of
came from, but just love the

731
00:38:39,900 --> 00:38:44,700
idea of flags and it resonating.
So the Stars and Stripes, you

732
00:38:44,700 --> 00:38:46,200
know, what does that work in
you?

733
00:38:46,200 --> 00:38:49,300
And every time for the July, you
know, everyone's got their stars

734
00:38:49,300 --> 00:38:51,100
and stripes and the same for
every country.

735
00:38:51,100 --> 00:38:53,500
You know, there's such passion
and emotion, that could be put

736
00:38:53,500 --> 00:38:56,100
into a rectangle of three
different colors.

737
00:38:56,300 --> 00:38:58,100
You know, the Holy Wars are
fought.

738
00:38:58,300 --> 00:39:00,100
Over us and I just find it
fascinating.

739
00:39:00,100 --> 00:39:03,300
So, yeah, Regional Flags
national flags.

740
00:39:03,400 --> 00:39:06,000
Yeah, I think there are three
amazing, that's amazing.

741
00:39:06,000 --> 00:39:08,800
We were my wife and I, when we
were traveling, we would buy a

742
00:39:08,800 --> 00:39:10,300
fridge magnet, and every single
country.

743
00:39:10,900 --> 00:39:12,900
And then we got our kitchen
redone.

744
00:39:13,100 --> 00:39:19,100
The front panel of our fridge is
what the more fridge magnets.

745
00:39:19,100 --> 00:39:21,800
So signature feature of a good
place to put all your flags.

746
00:39:21,800 --> 00:39:25,100
Well yes oh yeah I didn't factor
in where I was going to store

747
00:39:25,100 --> 00:39:27,600
them or we're going to put them.
So they're all just kind of like

748
00:39:27,600 --> 00:39:30,200
a full day.
It and stuff in the back,

749
00:39:30,400 --> 00:39:32,900
awesome drawer.
That's great Laura.

750
00:39:32,900 --> 00:39:34,600
What about you?
Which one thing people wouldn't

751
00:39:34,600 --> 00:39:38,900
expect to know about you.
That's my big wish is to be part

752
00:39:38,900 --> 00:39:42,700
of the rock band.
All right.

753
00:39:42,900 --> 00:39:47,300
Yeah yeah, yeah, since I was a
kid but never happened and I

754
00:39:47,300 --> 00:39:51,300
don't know if it happens when
I'm 80, I'm still happy.

755
00:39:51,300 --> 00:39:54,200
All right, well we're gonna get
you pretty close because demo

756
00:39:54,200 --> 00:39:58,300
day for the launch pool, where
three techstars accelerator Be

757
00:39:58,300 --> 00:40:02,000
at the button factory in Dublin,
which is a great venue where

758
00:40:02,000 --> 00:40:05,300
I've seen many a gig.
So we're getting, you're pretty

759
00:40:05,300 --> 00:40:07,300
close to that.
But we'll see if we need to get

760
00:40:07,300 --> 00:40:10,300
my kids down with their guitars
because they're much better at

761
00:40:10,300 --> 00:40:12,100
it than me.
But you're more of a singer.

762
00:40:12,100 --> 00:40:17,300
Or are you a instrument player?
Yeah, I play the guitar but not

763
00:40:17,300 --> 00:40:18,900
well enough.
Okay.

764
00:40:19,100 --> 00:40:20,600
All right, we can all work on it
together.

765
00:40:21,100 --> 00:40:25,000
So we'll listen folks,
absolutely loved talking to the

766
00:40:25,000 --> 00:40:27,500
two of you today in depth about
live dual.

767
00:40:28,200 --> 00:40:29,900
And I learned something in every
conversation.

768
00:40:29,900 --> 00:40:31,000
So thank you.
Is awesome.

769
00:40:31,000 --> 00:40:33,600
To have you both on the show and
I know that I'll be talking to

770
00:40:33,607 --> 00:40:36,500
you later today.
Cheers, thanks a million for

771
00:40:36,500 --> 00:40:38,300
having this piece.
Thank you.

772
00:40:45,400 --> 00:40:47,700
That does it for this week,
folks, thanks to Villa Laura for

773
00:40:47,700 --> 00:40:49,600
opening up their minds.
Help us figure out why they do

774
00:40:49,600 --> 00:40:52,200
what they do link to get in
touch with Will endure and learn

775
00:40:52,200 --> 00:40:54,000
more about live.
Dual are in the show notes on

776
00:40:54,000 --> 00:40:55,900
our website money, never sleeps,
that IE.

777
00:40:56,100 --> 00:40:58,800
So check us out online.
Also, thanks to Conan Brophy,

778
00:40:58,800 --> 00:41:00,400
from create sound for mixing and
editing.

779
00:41:00,400 --> 00:41:03,300
This episode Conan is an
excellent medium and to get in

780
00:41:03,300 --> 00:41:05,100
touch with when you're thinking
about launching your own

781
00:41:05,100 --> 00:41:07,800
podcast.
As for me, I'm an early stage,

782
00:41:07,800 --> 00:41:10,400
startup investor and advisor
focused on where fintech meets

783
00:41:10,400 --> 00:41:13,100
crypto and crypto meets web 3.
If you'd like to talk to me

784
00:41:13,107 --> 00:41:15,000
about your business, drop me a
line on info.

785
00:41:15,200 --> 00:41:18,100
Money never sleeps that.
I finally till next time.

786
00:41:18,100 --> 00:41:19,400
Thanks for listening.
See you

Will Martin Profile Photo

Founder & CEO, LiveDuel

Laura Brkić Profile Photo

Product Designer