Season Four: Investing Mindset

SPEAKER_01 0:02

Welcome back to Finance Friends. I'm your host, Fabian, and this is season four. This season we're diving deep into the world of investing. Not just where to put your money, but how to think like a professional investor. We are bringing you conversations with highly intelligent, incredibly motivated investors with weekly episodes. Make sure you stay tuned in. On the Finance Friends podcast today, we had Stephen Orr, who started his career in politics helping President Clinton become the president. Then moving into sports media, where he worked for the NBA, NFL, across all different sports before working on Wall Street. And now he set up Quasar Markets, which is an AI-powered platform that brings financial literacy and market research together. But listener beware, it might sound a little bit different because this was a VC. First time for the Finance Friends Podcast. Listen in. Well, welcome Steven to the Finance Friends Podcast. How are you today? I'm good, man. Thanks for having me on the show today. I love this. Well, thanks for coming on the show. So we're just chatting. So it's still uh still Monday in the US and it's been a long weekend and and it's Tuesday morning here in Melbourne, uh, Australia. So where are you based in the States?

SPEAKER_03 1:27

I live in Tampa, Florida. Um and I'm in New York and DC a lot, but uh I can't I don't like cold weather. And I know it's the summer down there for you guys, but uh I I love this. Uh you know, I I I love the I love the beach and uh the sunshine and fishing and that kind of thing. So I I love being in Florida.

Quasar Markets Vision Explained

SPEAKER_01 1:45

Yeah, well that's good. Well, I think um one of Australia's best golfer golfers lives out of out of Tampa, Florida, uh, I believe. And I've just gone blank. Um Smith is his surname, and I forgot his first name, but he's loves his loves his fishing and loves his golf. So great spot, great spot to be. Um, and so tell us a little bit about yourself. Obviously, you're you're currently founder of Quasar Markets, is that right?

SPEAKER_03 2:10

That's right, yeah. I'm the CEO and founder of Quasar Markets. Uh, we want to build the Amazon of FinTech, uh, mainly because there's not been a place that has everything. Think about it from the perspective of the whole world. How does the whole world talk to each other in a way of finance and or politics and weather and sports and putting it all into one platform and end all be all? Think of it like the Amazon of FinTech.

SPEAKER_01 2:34

Yeah, okay. So give us an example of an Amazon do you to to access this platform? Is it a subscription base or um like who would who would be the end user or who are your clients or customers?

SPEAKER_03 2:46

Yeah, the end users, everybody, quite frankly. We want to build a platform that was institutional and retail. And what I always say is everybody's an investor, whether you have stocks or not, um, you're also investing when you go to the grocery store or when you buy a car or when you buy a home. You want to make better decisions. And what if I can help make those better decisions? And also understand it in any language. So if someone in Japan is researching NVIDIA stock, I want to see what they're saying in Japanese and English, and then what we're saying, because I want to make the world a little bit smaller than it is right now. And the way to do that is to produce data on all sides of the planet and understand why things are going the way they are and and and how people think and why they're thinking the way they're thinking, and the way that social media is being and playing in involvement, as well as government data sets, as well as a institutional data sets of think of it like finance and 10Ks and 10 Q's here in the SEC and filings, uh, to make sure that we're getting real data and real knowledge and real news and filtering out the noise. A lot of times social media or what the media is saying might not be the actual real truth. And I want to dig down and I want to peel away those layers of that onion and make sure that we have what's really going on.

Filtering Noise With Multiple AIs

SPEAKER_01 3:56

And how do you filter out what's social media versus what's real and accurate? Because obviously online there's a lot of information, but how do you verify that information?

SPEAKER_03 4:06

Yeah, and you know, we use a lot of AIs. In our case, we have over 18 AIs in our system. And one of the things that I've always said is AI hallucinates or doesn't get the answers always correct. But what if you could take AIs and actually attach them to the actual databases and not attach them to every database, like Wikipedia or things or social media? But if you wanted social media, you could have the AIs attached to the social media to get a better answer to a better question. And our machine also gives you a better question to and a better answer to a question you might not even know to ask, meaning that you might have been asking about NVIDIA options, but what you really want to know is whether or not the people are actually buying NVIDIA chipsets. And so, how do I know that's true? And so to be able to attach to actual media companies, let's say Bloomberg or to Wall Street Journal um or Australia Papers, and I want to know what's going on down in Australia. So I want to attach down to the actual newspapers and actually figure out what's really going on and filtering out it.

SPEAKER_01 5:01

So not having social media actually on it if you do not want to. Okay, so the end user gets to choose their their source of truth ultimately.

SPEAKER_02 5:09

That's right, yeah.

SPEAKER_01 5:10

Yeah, and you have uh data inputs from all over the world and and data feeds from all over the world that have that have been gathered through through AI. Is that correct? That's very correct, yeah. Yeah, well, and uh and how many can you talk to us about your users on the platform and how many users you have? And are they institutions, individuals, or everyone across the board?

SPEAKER_03 5:31

Well, I appreciate that. It's a great question. And we have institutional and retail on the platform, and very soon we'll have a very free version of it because we have really special deals with Nasdaq and with ICE, uh Neurostat Exchange, uh, with data deals, so that we can give it away. But if you want institutional data, it'll be a hundred dollars US um per month, and it'll give you all the access to every data set we have on there, including the AIs, including how you can think a little bit better, and we have machines, machine learning LLMs inside the machine that you can talk to the machine and talk to it in a way that it becomes part of you and not just uh you uh getting a question and answer response like a Chad GPT or a Gemini.

SPEAKER_01 6:12

And is that across you mentioned stocks and you talked about in the video options?

SPEAKER_03 6:16

Is that across um other markets like FX and every single market, commodities, stocks, options, uh futures, every everything on the planet will actually be in the system.

SPEAKER_01 6:28

Yeah, and how did you come up with this idea to launch it? Where was the the the light bulb moment, as we would say, to say, well, this is what could we really work in the market?

Access, Pricing, And Product Scope

SPEAKER_03 6:40

Well, what it was very interesting is I've had a really good background. Um, and I worked in the White House and the State Department, and I've been in the highest level of governments where I know data is very important, and I've had the opportunity to be in TV all my life, and I've had the chance to be in in sports and data and technology, and all of that needed to converge into one platform, and there wasn't one of those platforms. If you think about it, in your phone right now, you probably have like 500 apps, and you only really use one or two. Um, and for me, I want to put all those apps into one place to make it very easy for a person because they get overwhelmed. And I don't want to overwhelm a person, I want to bring it down to everyone's level based on who they are. They might be a plumber, they might be a doctor, and be able to talk to you in that level of how to understand the world. For example, cocoa futures really affect people who love chocolate, uh Hershey's chocolate, or or uh let's think of rice, you know, or in uh in Australia, you know, we you have uh the Outback and when's the best time? When's the heat coming through? And uh when's a good time to go to the vet for the dog and and all those kind of fun things. And you may not understand, you may not really know, or you may not understand why sports really affect like Australia Reals football. How many Americans actually understand uh Australian rules football? Not many, right? And so what if I wanted to have expand that universe and we wanted to do that too? Because sports really do affect the financial world. Just the very second that a sporting event comes on, the trading world stops. I mean, think about it from the from our case that we just had the Super Bowl. Uh crypto trading slowed down during that time. Uh, think about it from the perspective of cricket, when cricket goes on in India, gold trading slows down a lot. So that is a is a things that people didn't really understand, but it can help you understand those positions.

SPEAKER_01 8:28

Yeah, it's interesting. Well, we have the cricket's a big sport in Australia, and we had the Ashes, which is Australia versus England. And uh we had 40,000 traveling uh British people come to Australia for the ashes, and that actually affected obviously Australia's a small place, so about 40,000 ponds, as we call them, uh drinking uh beers and eating out a lot affected inflation rates in Australia. So um it's it's quite it's quite interesting you you talk about that. I'm actually off to the to the US later this year to watch uh the World Cup. Australia's playing the US in Seattle, so I've got tickets to that game. And I was lucky to score tickets and I think I I bought them for 700 US a ticket, and now they're selling for about 5,000 US a ticket. And so I'm debating the uh the capitalist in me says, Well, I can make enough money to pay for some of my trip, but also the special.

SPEAKER_03 9:21

And if you have the AI, my goodness, you can how you'll find out, hey, when's the best time to sell uh my tickets? Maybe I mean not right now. Wait a wait another month or two. Maybe, maybe you know, maybe this maybe the weather isn't gonna be good that time of year. There's a lot of factors, right? And those factors affect the pricing of things.

SPEAKER_01 9:36

So I love that. Yeah. Yeah. So well, it's sports, uh obviously in the US is big Super Bowls big. Who do you follow in the in the in the NFL?

Origin Story And Cross-Industry Insight

SPEAKER_03 9:45

I am a big Washington team. I I love both uh when I I started playing with the Redskins and of course now the commanders, but uh I love Washington and of course Tampa Bay Buccaneers. I live in Tampa Bay.

SPEAKER_01 9:55

Yeah, fantastic. So um how let's let's take a step back. You talked about um you know working in in politics and in tech and data. So can you bring us back to the start of your career and give us some insight into you know where you started? And for any of our listeners that obviously you're very entrepreneurial and you've set up something that is quite niche and unique in the market, that you know, with uh as as technology has evolved and AI has evolved, there's an opportunity for for new markets to be created. But let's take a step back. What did you study at university or or college, as you call it, in the States? And uh to talk us through your your early days.

Sports, Weather, And Market Flows

SPEAKER_03 10:31

Yeah, it's very simple. Um, well, yeah, I when kids wanted to be firefighters and astronauts, I wanted to be a stockbroker back in the day. And um I have always had that in the back of my head that I wanted to be in the financial markets. And I had an opportunity um in 1992, but I studied in school, I studied politics, poli sci, and business management. And I wanted to merge those two together. And I had two opportunities. One was to go to New York and one was to go to Washington, D.C. And I ended up on the campaign uh for Bill Clinton, and we won. And so I ended up in Washington, D.C. uh for eight years, um, and ended up being there over 16, to be honest with you. And I had the opportunity to be at the highest levels in the White House and State Department. And uh again, those are data points, right? I love that I got to be around some of the smartest tech people in the world. And of course, after that, I ended up in pro sports and NBA and NFL and PGA and the Olympics in the tech side, the TV side, and I got to learn that side of it too. But I was always in the finance world, of course. I was always a trader at heart, and I always traded and got to go to Washington, DC and New York City and the and and live there too, as well, and and and run, you know, with uh money.net and of course uh senior VP uh Benzinga and help build some of the platforms that people use today, and some of the data sets that they use today, and the charting systems that they use today, and the friends that we made throughout those systems, all throughout that, I was at the forefront of all those builds. And in fact, some of the things even used today around the world are things that I helped build. And so I realized that at one point it's either put up or shut up. So I was at the Bitcoin conference in Miami, at which I go to every Bitcoin conference. I'm a huge fan of cryptocurrency. And um, what I noticed was that there were a lot of modules, a lot of different pieces of the puzzle, but not one place that had everything, and not trading and not AI and not modules, and be able to put this in every different language around the world and to have every piece of that and to build a place for education and build a place that no matter who you were, retail or institution, but you can have a place to roost and be able to show off your your data, your your module, uh, who you are as an educator. And as I always say, just because you have a million followers on Instagram doesn't make you a good um educator, it makes you good at marketing. And I what I want to do is create a place for those people that are really have the understanding and the institutional knowledge of the markets and be able to bring that to and allow them to have a place where they can set up home and actually and educate.

SPEAKER_01 13:04

Yeah, well, I I think as AI is is is becoming more uh involved in our everyday life, I think there's gonna be two types of people people that embrace it and use it to learn more rapidly, and people that I guess reject it like most technology and and fall behind. So the fact that you've created a platform which is accessible to anyone around the world in any language to get any data set around markets or or sports, it creates a you know an equal playing field for whether it be a retail investor or also an institutional investor.

SPEAKER_03 13:39

You got it 100%.

SPEAKER_01 13:41

Yeah, well that's fantastic. Well, let's let's talk more about your current business from when you the light bulb moment in your mind to actually launching the product. Can you talk us through that process and and and maybe even a little bit around the funding of that? And um to because it's it's I I don't know, tell me, is it expensive to build this platform?

Build, Funding, And Global Rollout

SPEAKER_03 14:01

Absolutely. I mean, one of the two things that you need to have in building fintech is you need to have developers, you need to have money. And I was very fortunate to partner with Kiwi Tech out of DC, one of the largest developer firms, where a lot of companies have two or three, or I've got a guy who does you know development. I have 1,100 developers at my disposal. And one of the things I loved about Kiwi Tech is the CEO and founder there, also a friend, is also the chairman of my board. So we made a partnership that allowed me to do that. And uh we started the process of friends and family rounds, and we raised over three and a half million dollars and we built the machine. And here in a few months, we'll have access to that. And we've also got uh reg A's and reg CFs, and we've have investor partners that are big ones that are coming in very shortly. Uh it's very exciting. And yes, in order to do all of that, in order to build the TV shows and and stations and educators and all of that in every language, it takes money and it's not easy. And even the big firms can't do it because they don't have the right developers, or they don't. The thing that's changed now with AI is now the technology is actually caught up with my ideas. It took a while for the that technology, but I've been talking about AI for 15 years, and even the AIs had not caught up. Now they have LLMs and natural language modeling, has now caught up as well as every language now that we have, um, as well as Web3 side of this, as well as GUI3, which is coming out very shortly from Google. Um, and all of those things really weren't even around the last five years. But I started the process of building it early. Why? Because all the platforms you have today just are built on old technology, on old stacks. And I wanted to build everything on a new stack in a way that you didn't even need an app. You don't even need anything. It doesn't matter if you're in your Oculus, your Apple Vision Pro, whatever. It's automatically built and it's automatically changes to what you're looking at.

SPEAKER_01 15:48

Yeah, that makes a big, big deal for someone like me who's not technically advanced. I'm not a coder, know nothing about software, but I I know what information I want to find and what to look for. So it's it's great that platform. So um and and you mentioned that at the moment it's only a paid version, but soon there will be a a free uh version available to to everyday investors or retail investors or everyday people, I should say, because it can benefit everyone.

SPEAKER_03 16:18

That's right, 100%. I mean, I wanted to build it where the access to the data was free. Um, you know, I I I said in the past that the difference between the haves and the have nots is how much money you have in the bank. And in the future, the haves and the have nots will how much data do you have access to? And when people ask me about, you know, what company should I invest in in AI, and I always say the same thing. The companies that have the data, Amazon, Google, Facebook, they already have all that data on you. They're the companies to invest in. And you're also gonna need companies like security, like CrowdStrike and Cloudflare and the backends for Amazon has AWS. They already have the data, they already have the sets. What they don't have is the platform to do this on. And so we wanted to build all of that out. And that's right. So in order to do that, I wanted to make it free. I want to make it in a way that, but if you wanted the institutional, very big hard data, all of that, um, then I made it as cheap as possible,$99 a month. So we did it in a way you don't even need a half off and whatever the deal is of the week. Um, I think that's wrong. I think I just want to make it a place where it's as cheap as I possibly can, for as good as I possibly can, and as much as I possibly can get into the machine.

SPEAKER_01 17:26

Yeah, fantastic. And how many can you share some insight into the current users, the adoption, and what the plan is over the next three, five, seven, ten years?

SPEAKER_03 17:35

I can tell you the adoption rate is now faster than anything on fintech right now. And I'm I'm I'm really appreciative of all the people that are on our platform. We don't really give out numbers for obvious reasons. I don't want to embarrass anybody, but um, we are growing fast as I mean it this has just been awesome, the the speed at which we're growing at. And of course, our own our own TV show, Quasar Markets Live and Quasar Markets, we're coming out with a TV as well. Uh another another show coming out. And then spotlighting, or we're gonna be spotlighting and inventions and things of that nature. So with a with a very with a very uh uh long-term crew, shall we say? Very uh got that that uh pedigree behind them. Pretty soon you'll be you'll be like looking at people that you you know who they are uh that want to come over and work work with us.

SPEAKER_01 18:17

Fantastic. That's great. Thank you for sharing that. Um and then on that, do you do you see the is there an opportunity to potentially trade through the platform as well? Is that available now or is that maybe available?

Brokerage, Localisation, And Scale

SPEAKER_03 18:28

It will be available very soon. I appreciate you asking that this question. Yes, we've already been approved for a brokerage, and that's already done. So yes. Um, and you'll you'll do it ride through the platform too, as well.

SPEAKER_01 18:37

Yeah, and that is that across will that be across all markets? All markets, including bonds. Yeah, okay.

SPEAKER_03 18:43

Um, and if you had uh obviously founded in the US and That's correct, but we're also building we're building it in every every country too, as well, in their language and in their abilities. So in other words, it is their machine. Uh in Japan, it'll be in Japanese, obviously, but it'll be a Japanese company, not a US company. In Australia, it'll be an Australian company, not uh US company in Australia. So I'm very excited about bringing Australian data to the Australian platform. I I'm really excited about that.

SPEAKER_01 19:12

Yeah, well, that's great. We'll have to uh have a discussion. Have you looked at have you launched in any other countries yet, or is it just in the US?

SPEAKER_03 19:20

Uh yes. We've already have it in every language already.

SPEAKER_01 19:23

Yeah, and it has been launched like in Australia, for example.

SPEAKER_03 19:27

So it we we we have an Australian version, uh, but I want to I want to make it even better. I'm such a perfectionist uh that I want to make it with the Aussie colours and the Aussie flag and all the fun things behind it. Um of course my wife is from Ireland, so obviously uh Ireland and Australia, but uh I I I love that side of it, the sports side of it, and putting the sports it into it, the weather data into it, and the news did it. So I want to go be in Sydney and in and in Melbourne and actually ask, you know, what data sets you want to see in the system.

SPEAKER_01 19:56

Yeah, well, let me know when you're coming and I can share a lot of information with you and introduce you to the right people. So I love it. And especially Australia, com Australia is very much a commodities-based uh country, so you know, weather can can play a big part, uh but also supply and demand globally, um, especially from China too, which is uh reducing now, uh thankfully. So um what else should we uh as an end user, or what else do we need to know about your platform, or can you share any additional information that maybe we haven't spoken about or discovered yet?

Multi‑AI Strategy And Moat

SPEAKER_03 20:31

Oh, I like that. Well, one of the cool things about it is I've I've always built a lot of the modules around um fintech, some of the biggest like unusual options and things of that nature to the companies. I now have a playground to build whatever I want, and other companies have a playground to build whatever they want too in the machine. You can build modules inside the system and and and resell those as well, as well as some of the some of the coolest ideas for AI that no one has. We will have them in our platform and things that I can't even begin to explain to you that I've have to walk my developers through because they don't even understand it sometimes. So you'll sort of see some of those things come out in April and May and June of this year. Um, products and platforms that just aren't available anywhere else because they can't even come up with the ideas.

SPEAKER_01 21:16

Yeah, interesting. And what's your take on um, and I'm not sure exactly when this will come to air, but we've seen the last month or so since the new Claude um AI tool, you could call it, has come out. A lot of these uh SaaS businesses have been sold off substantially, um, because the ability to build your own platform or or compete, and maybe you know, the IP that these big tech companies have is is maybe not as uh uh far advanced now with with new uh coding technology. What's your what's your take on that and how does that affect your business?

SPEAKER_03 21:54

Does that affect me one bit? In fact, it it proves that I was right the whole way through that uh this is what we're supposed to be doing. The problem is that a lot of companies just use one AI to attach, uh whether it's Claude or ChatGPT or Gemini, and they they're perplexity and they hope they're hoping and praying that that one AI is gonna be the answer. But the we all know that the problem is not one AI. We we know that we have an AI is for music, and when AI is for regular data, and AI is for fintech, and AI is for finance, and an AI. I want to put all of it into one machine so the machine decides what's the best route, what's the best way of pulling down data and understanding that and having a back end that's created based on that specifically? And of course, that's been patented.

SPEAKER_01 22:37

Yeah, and and obviously that depends on you know making sure that there is a source of truth around that that data. You got it. Yeah, so being able to find that. So uh no, that's great. Thank you for sharing. And and what do you think the biggest competitive advantage that you have as a founder and CEO is it your background in in politics, in sports, in markets? Because that's quite unique and diverse. That I, from my experience, haven't come across anyone with that background.

Personal Edge And Market Linkages

SPEAKER_03 23:11

Well, I appreciate that. That's absolutely right. I mean, I'm one of those guys who just wants to do everything. I just love life, and I can't wait to be an actor too at some point, I guess. But I mean, when you look at the markets in general, most people don't really understand just how markets work. That in order to get a commodity to market, you need someone to dig it up out of the ground or to separate the wheat the chaff, shall we say, or sports, or how does weather affect that commodity or that stock? And right now we're talking about NVIDIA chips because is there a chip crunch? Are we not getting enough memory chips? Is that gonna cause a problem with margins on sales? How's that gonna affect Apple phones? Or how's that gonna affect Samsung phones or Google? Or is there are we gonna need more cloud services? Are we gonna need all of those things revolve? And we will find through AIs that there are connections that we didn't even know that existed that they will find before we even understand it. And there are people who may not understand that level, right? But the machine will be able to explain to them or give the person that asking the question, hey, you're asking about new clothing. You want a new shirt? Great, but you know what? So there's a new shirt coming out of Australia that you might like. And guess what? It's a good time to buy it because it's their summer down there right now. Or and or they'll be dumping their summer clothes on us. We don't know, right? Those are some serious, crazy questions that you don't know, but will affect the price. And people, well, why did the price of petrol or gas go up? Well, I don't know. Well, I can tell you why. I don't know why this why did the stock price fall? I can tell you why. Right? And I want to be able to make the user, whether they're institutional retailer, a much smarter investor, a much smarter person, and be able to pull that data down much faster and in a way that they understand it and in their language.

SPEAKER_01 24:56

And if the data is so accurate, then is there's an efficient market pricing hypothesis, I think it is called, that if all the data is available, does the market then correctly price every asset?

unknown 25:11

No.

Forecasting, Cocoa Case Study

SPEAKER_03 25:13

Because every single person is different. We think every particular person on the planet thinks differently, right? You might be uh you might be a plumber, you might be um a car mechanic, you're gonna think differently than a person that works on Wall Street, you're gonna think differently than the farmer in Illinois, than the farmer in Australia. There's a there's two different different commodities, right? And in people that are in coal or in oil and gas don't think the same as the people that have meat, like cattle and pigs. They're different and they think differently and they work differently and they act differently and they ask questions differently. And each person has a different level of education and in each different level of background and who they are. The machine will actually come around to that person as who they are persona-wise.

SPEAKER_01 25:55

Yeah, okay, and give them give them information based on where they're at. And and do you do and so then you can does your platform create like forecasting?

SPEAKER_03 26:07

Yes, of course. But not the one, not the way that it tells the person how to act, but to give them a better question to a better answer, to a better question, to a better answer that they didn't even know to ask in the first place. A good example of that would be I was looking at at commodity prices, cocoa prices in the Ivory Coasts. And I knew through my weather that there was going to be El Nino coming across the Atlantic to hit and it hit the Ivory Coast and it affected it. But what I didn't know that there was geopolitical issues going on in the ivory coast that even pushed it even further. So they couldn't get the cocoa even out, and the price of cocoa tripled in price. And then when El Nino passed through and they and the and the geopolitical issues went away, the price cratered. Today, cocoa is the lowest price since it's been in 20 years, because we knew the answer to that, not an uh after the news came out, but months before it happened. Because I wanted to know that before it even happens.

Availability, Devices, And Next Steps

SPEAKER_01 27:01

Yeah, of course. Um, and then then obviously, if you you know, once you have the trading capability through the platform, you can have the information available and and trade then and there. That's right. Yeah, no, that's great. So um no, we're looking forward to uh launching your Australian business. Obviously, it's still avail it's available currently to Australia if they go on. What's the what's the we'll we'll add the link to your website, but uh is there an app at this point?

SPEAKER_03 27:27

Yeah, it's all the same thing. It's on the same machine, quasarmarkets.com. Whatever you're looking at, if you're looking on your phone or you're looking at an Apple Vision Pro or your Oculus or your desktop, laptop, iPad, whatever you're looking at, the machine will automatically transform to what you have.

SPEAKER_01 27:42

Yeah, no, thank you for sharing that. That's great. Um, we're looking forward to we're looking forward to seeing the business grow and expand. Um, and based on what you've told me, it looks like it's it's uh all guns blazing, as we might say, um, and and good times ahead. So uh look forward to maybe I might see you at the USA versus Australia game in Seattle in uh in I think it's in end of June. Will you be heading?

SPEAKER_03 28:09

I I I'm definitely going up to Seattle. So we'll we'll uh we'll be on the opposite ends, I think. I'm gonna root for USA though.

SPEAKER_01 28:17

No, that's understandable. But they uh well they can I was gonna say there can only be one winner, but there can be a draw with football. That's right.

SPEAKER_02 28:23

We can't we can't have a draw. I will say though, though, we'll go have a we'll have a beer afterwards, after the game.

Closing Thanks And Listener Links

SPEAKER_01 28:28

Most definitely. Well, thank you, Stephen, for coming on the podcast. And I understand it's late where you are at the moment and early morning uh in Australia, but uh thank you for sharing uh your background and your insights about the business and and a unique proposition which the our Australian or Australian audience will definitely be interested in exploring.

SPEAKER_03 28:47

Well, I appreciate having me. This is a fantastic platform, and I love your podcast, and I wish you all the best and I look forward to doing this again with you, my man.

SPEAKER_01 28:55

Cheers. Thank you.

SPEAKER_02 28:56

Cheers.

SPEAKER_01 28:59

Thanks for listening this week. Stay tuned for our next episode and keep up to date with us by following the Finance Friends podcast on Instagram and TikTok. Plus, connect with us and our guests over on our LinkedIn page, all linked in the show notes.

SPEAKER_00 29:18

Disclaimer: This podcast exists for informational and entertainment purposes only. The personal opinions of the speaker and guests do not represent the view of any other party. If this recording contains a reference to financial products, that reference does not constitute advice nor recommendations and may not be relied upon.