In short
AI agents and open vs closed AI models; China’s role in AI/data advantage; and crypto market maturation (Bitcoin as “digital gold,” Ethereum as utility gateway), plus practical guidance for retail crypto investing.
Guest background
Tech entrepreneur and early crypto adopter. Grew up in Tianjin, China; studied in Canada (computer programming) and later earned an MBA in France. Became a VC investor in China (Beijing-based, 2013) focused on mobile apps, then shifted to Web3 after joining a Singapore VC around COVID. Co-founder/CEO of LabEx Exchange; team includes engineers who previously built trading platforms for investment banks.
Key claims
Model differences will converge; the biggest impact comes from application ecosystems. Open models (e.g., DeepSeek) lower access barriers, while closed models drive curated ecosystems; they’ll coexist like app stores. Bitcoin risk is lower now due to institutional adoption/spot ETFs; Ethereum is the likely Wall Street/real-world-assets gateway.
Notable examples
Bought Bitcoin at $200; invested in BTCChina/OKCoin/Huobi era. TikTok/Douyin algorithm built from China’s large user data base, then globalized. Meta’s reported ~$2B acquisition of Manus for global AI-agent use. DeepSeek open-source model; Tesla testing in China for driving data. Spot ETFs (2024) and ARK/Tesla/Elon adoption; DCA and top-5 spot trading advice.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAI Models and Globalization Trends
0:00 to 0:45
Learn about the differences between AI models and their global implications.
“Eventually, the models will be very close to each other.”
The Unique Origin Story
1:31 to 2:38
Explore the guest's fascinating background growing up in China and its impact on their career.
“Like you started a little bit in the green room and I, and I cut you off because it was so good, but you have a very unique kind of origin story.”
Education and Early Career in Canada
2:39 to 5:35
Discover how studying and working in Canada shaped the guest's career in tech and investments.
“It has like 13 million populations right now.”
Investment Journey into Blockchain
5:36 to 7:29
Understand the guest's early investments in blockchain and their reflections on those experiences.
“2012, I saw there's a bunch of opportunities back in China because I learned all this knowledge from both on the technical side and the business side.”
The Rise of Web3 and LabX Exchange
7:30 to 10:24
Learn about the transition to Web3 investments and the founding of LabX Exchange.
“So as a VC investor as well, I looked into many of the platforms at the time.”
Personal Struggles and Business Focus
10:25 to 11:48
Explore the guest's personal challenges and how they maintained focus on business success.
“So I was able to actually form a very strong team.”
Entrepreneurship in China vs. the West
11:49 to 13:13
Compare the entrepreneurial landscape in China with that of Canada and the U.S.
“I mean, I appreciate you going through all that.”
The Evolution of Chinese Entrepreneurs
14:00 to 18:19
Explore how China's entrepreneurial landscape has developed over the years.
“So they set their goals, they work everything out of themselves to try to accomplish it.”
Market Dynamics and Product Testing in China
18:20 to 22:21
Understand how the size and nature of the Chinese market impact entrepreneurship.
“the feedback and the cycle is very quick.”
AI Competition and Chinese Innovations
22:22 to 23:49
Discuss the competitive landscape of AI between the US and China.
“I think the US and China, they're racing for AIs very, very competitively.”
Show all 26 chapters
The Future of Open Source AI
23:50 to 28:06
Examine the potential of open source AI models versus closed models.
“And eventually – but that kind of backfired because you're forcing the Chinese government to invest more to build their own chips.”
AI Models and Their Applications
28:06 to 30:01
Exploring the similarities and differences among AI models and their applications in various industries.
“Even TikTok has their own AI it's called Doubao as well, right?”
The Role of AI in Trading
30:01 to 33:11
Discussing how AI tools are being used to enhance trading platforms and investor performance.
“So the point I'm trying to make is that it's the closed model versus open model.”
Transformative Power of Manus AI
33:11 to 34:53
Highlighting the capabilities and advantages of Manus AI in podcast production and beyond.
“and they actually added a feature before.”
Global Business Dynamics
34:53 to 36:26
Examining the interplay between politics and global business in the tech industry.
“And that was a really interesting acquisition, particularly born out of China, moved to the U.S.”
Bitcoin's Market Evolution
36:26 to 42:00
Analyzing the maturation of Bitcoin's market, institutional adoption, and future potential.
“What we've seen maybe over the last three to four years in particular is this of altcoins and meme coins and all this kind of stuff.”
Wall Street's Future with Blockchain and Bitcoin
42:00 to 44:36
Learn about the potential for Wall Street to adopt blockchain technology and Bitcoin's integration into traditional finance.
“And it's one of the basics for Wall Street to access blockchain.”
Understanding the Crypto Market Dynamics
44:36 to 48:23
Discover the differences in market dynamics for Bitcoin and Ethereum compared to previous cycles and how retail investors are affected.
“And also, there's another side note is that during last cycle, the Chinese market, the Chinese retail can still have easily access to cryptos.”
Investment Strategies for Beginners in Crypto
48:23 to 52:22
Get insights on effective strategies for new investors entering the cryptocurrency space, including dollar cost averaging.
“or should I be thinking more, hey, let me just put my money in Bitcoin and ride the wave or do I YOLO and chase the Reddit boards?”
Navigating Trading Challenges and Risks
52:22 to 56:01
Understand the complexities and risks of trading cryptocurrencies and the importance of commitment and strategy.
“What's the perpetual is the futures contract.”
The Reality of Trading: A Job, Not a Side Hustle
56:01 to 56:51
Learn why successful trading requires dedication and time commitment.
“I think if you're very smart and you know what you're doing, I think there's an incredible amount of money to be made trading.”
Understanding Trading Platforms: From Buying to Futures
56:51 to 58:05
Explore how trading platforms provide opportunities for both beginners and experienced traders.
“So you can only beat them with luck or you beat them with time.”
Navigating the Entrepreneurial Journey Across Borders
58:05 to 59:03
Discover insights from a venture capitalist's experiences around the world.
“And also we have definitely like across all this sales marketing, we have this welcome bonus and everything.”
Sector Insights: What Tech Areas Hold Promise?
59:03 to 1:01:05
Learn which tech sectors may surprise investors with their potential growth.
“When you can kind of sit in your spot and you look out over the ecosystem, maybe you put your VC hat back on for a second.”
Ethereum's Role in the Future of Blockchain
1:01:05 to 1:03:08
Understand why Ethereum is seen as a key player in blockchain adoption.
“And people can buy shares of it or buy the coins.”
Connecting with Harvey: Final Thoughts and Resources
1:03:08 to 1:04:39
Find out how to follow Harvey's work and insights in the crypto market.
“to not start to invest and go down the rabbit hole.”
Transcript
Automatic transcript. May contain errors.0:00Eventually, the models will be very close to each other. Ordinary users can't really tell. Too much difference between like a Groke and like a DeepSeq or ChatGPT. What's going to be making the huge difference is focusing on the application side. There's an interesting trend. Meta actually just bought a Chinese company for I think$2 billion.
0:25Ryan Hanley:$2 billion, yeah, Manus. Yeah, Manus. The company, the entrepreneur, they move out of China because they want their application, the AI agent can be used globally because they don't want sanctions from the states. They are a very strong team. The point is, it's a closed model versus open model. Compared with Google App Store and Apple App Store, they will coexist. Forget what you know about the future. While everyone is distracted by the latest AI hype and meme coins, the real revolution is happening right under our noses. My guest today, a tech entrepreneur and early crypto adopter, is here to explain why the next wave of disruption isn't coming from where you expect.
1:09Ryan Hanley:We're talking about the quiet giant that's about to tokenize the world. If you want to know where the smart money is really going, you're in the right place. Welcome to Finding Peak. this is the way.
1:30Ryan Hanley:Let's go through your journey. Like you started a little bit in the green room and I, and I cut you off because it was so good, but you have a very unique kind of origin story. And although, you know, I usually don't start with origin stories because, you know, I think people hear a lot of the same stuff. Yours is so unique. I think it's really important to hear. So maybe take us all the way back to your father's an entrepreneur. You're growing up in China. Like, what was that like? I mean, my audience is predominantly U.S. And I know for a lot of people in the U.S., China could essentially be another planet.
2:04Ryan Hanley:And I don't mean that in a bad way. It's just so far away. And I think and I, you know, being having spoken to as many people as I have in this show provides me a lot of opportunity to reach out of the states and understand what's going on beyond. I don't think as many people do. And I would love for you to explain a little bit like, what does it mean growing up in China, having experienced both the Eastern world and the Western world? You know, what are some of the differences? And, you know, and just just start to walk us through that process, because it is such a unique journey to getting to where you are today.
2:34Yes, it is. Yeah. Yes, let's get started. I was growing up in Tianjin, China. It's a very big city. It has like 13 million populations right now. I think including the populations actually temporarily working there is like 20 million plus. And I grew up there very early in the 80s. I was born in the 80s. I grew up in a very traditional Chinese family. My father used to work for the government. And then later on, he started his own business in the 90s. And he has been one of the role models for me. So because that's why since I had very strong goals when I grew up, I just want to become someday someone like my father.
3:29He's my role model. And when I was young, I was really interested in computer games. And so I had a goal when I grew up, I wanted to be a computer programmer. I can develop my own games. Then I decided after my high school, I decided to go study abroad. At that time, my English wasn't good, so I studied really hard. I got admitted to one of the universities in Canada. So in 2001, I went abroad, studied Canada alone, and that's where I started to learn English, speak English, and at the same time, I was studying in computer programming as well. After graduation, I was working for one of the internet companies in Canada.
4:22And during that time, I was taking care of operations and daily developments of some of the tools we use for business. But also, because I was growing up in China, I lived in Canada. I studied there. I started to realize there are actually greater opportunities. Like I started to invest.
5:13to more education on the business side. So I decided to apply for one of the top business schools in Seattle, in France. I was lucky enough to get in. And after studying for one year full-time in France, Fountainboot, France, I graduated with an MBA degree. And then at that time, it was booming in China. It was 2012. 2012, I saw there's a bunch of opportunities back in China because I learned all this knowledge from both on the technical side and the business side. I think there's a great opportunity for me to go back to China and start to actually be part of these booming opportunities back in China.
6:02I went back, actually, I got in, joined one of the top local venture capital firms in China. in 2013, where I invest in mobile app companies, startups in China. I was based in Beijing. I looked around projects. I think over the years, I looked into like hundreds of projects
6:30across all these Chinese major cities, Shanghai, Beijing, Guangzhou, Shenzhen. At the same time, actually, it was very interesting. My friends were looking into blockchain and they looked at Bitcoin and everything. So I was in those investors groups with them. I started learning into blockchain. In 2013, that's the first time actually I invested in blockchain. a BTC, a Bitcoin at$200, I remember. And then that was one of the times we really, we couldn't really find too much information at the time. I was really still just at the early stage, understanding blockchain. But over the times we studied together, we realized this is really the next big thing.
7:32So as a VC investor as well, I looked into many of the platforms at the time. I think one of the biggest ones at the time was Huobi.com, BTCChina.com and even OKCoin. It's OKX today. Like that's their founding members was actually forming the company in 2013, 2014 back in Beijing. and that's when I looked into those projects as a venture capital side. I looked into them. So from that time I learned
8:11for certain things you have to get in early and you need to study them, you need to believe them because I made my mistakes over the times. When I was first investing in Google and Apple shares, I sold them too early because I didn't understand, like, the business can grow or at the time I didn't have too much knowledge on the financial side. And that's why I decided to went to business school. Also, for Bitcoin, I bought 200. I sold them like 300, 400. And I wanted to wait until they come down and buy it back. and then they never come down. And the reason why is just because we didn't really research deep enough and understand what's really, the technology side, what's really actually make a difference.
9:10So make you believe that you can hold on to it for a longer time. So then after that, around the COVID time, because, you know, like at the end of the COVID time, like the Chinese has, the government has a big lockdown in Shanghai and Beijing. And in 2021, 22, then I was lucky enough to join another venture capital for me in Singapore, where actually I invested more on Web3 projects rather than just mobile app projects. and then that's when I had the idea to start the current projects at LabEx Exchange because me as a trader during the time I trade lots of coins, crypto coins as well also I trade lots of stocks and also I look at like on the VC side I looked at lots of projects over the time so I know where the traders or the users really look for on a trading platform.
10:23And I had the technology knowledge and I have VC resources. So I was able to actually form a very strong team. Our tech team has a very strong background building trading platforms for the investment banks, one of the bigger banks. So our team is really focused on the tech side, and my goal was building a platform really deliver the traders experience and make them feel the platform really put them at the center stage where we can provide them the tools they can succeed. So that's how I came along to became the co-founder and CEO of LabX from my journey.
11:15You know, there's many failures and many experiences, like even on the personal side. I'm a father of two daughters. I got divorced as well, and I had this personal up and downs. At the same time, I was able to focus more on the business side, on the work, so I can deliver the projects and deliver the user experience to our users. and I think in the long run there's lots of things to come and I think that's how it is right now.
11:52Ryan Hanley:Yeah, awesome. I mean, I appreciate you going through all that. There's a lot to unpack. I got a lot of questions for you. Of course, of course. Yeah, so I'm going to go back and I'd love to start. In Dubai, it's a little bit hot here. You're good, you're good. Yeah. So I'd love for you to maybe compare and contrast for us. Like when you look at, say, entrepreneurship in Canada and France and kind of the Western world versus compared to like China. And is there a difference in how entrepreneurship is approached? like here, you know, I know in the States, especially since the rise of say Facebook, Google, Apple, et cetera, you know, people wear entrepreneurship like a badge of honor, right?
12:38Ryan Hanley:They get it tattooed on their body. I'm, I'm, everybody wants to be an entrepreneur. And there's like this whole culture to it. And, uh, you know, the, there's like failure porn now where people are failing and then they're, they're using that to launch careers. And it's all now it's been very, like entrepreneurship is very commercialized. Do you see the same things coming out of China? Is it a more mature entrepreneurial market? Is it still a developing entrepreneur market? Like, where do you see the major differences in entrepreneurship in general between the two? I think before, let's say, let's go back to early 2000.
13:15I think 2000, maybe after 2001, 2002, Chinese, especially on the tech side, they just start to have these smaller tech companies. I remember back there, there's like China.com, NetEase.com, Alibaba, they all started very, I think, late 90s, early 2000. That's the time I think the entrepreneur is my previous generation. They are more traditional and they didn't really have too much college education but they are very dedicated, very diligent, very determined. So they work really hard, I would say. So they set their goals, they work everything out of themselves to try to accomplish it. And that's one time the entrepreneurs are like It's people just hardworking.
14:19It's just doing the daily routines. And then they gather the experience from maybe some failures. So they evolve onto that, like based on that. And at that time, I think China didn't really have too much technology base to build on. And then they relied more on the foreign investment. I think that's one of the times the U.S., the Europeans has actually invested lots of investment and technology back into China. I think even Taiwan, especially for the semiconductor industry, and Taiwan, Japan, and Korea during that time, they invest a lot in China to help develop the technology. I would say it's like the first generation of entrepreneurs in China.
15:18They start most of them from scratch, right? So they didn't have too much base to build up. But after, I think, after 2008, especially after the financial crisis, also after 2008 is the Olympics, right? So Beijing Olympics, the Western world understands more about China. And even I think the general living standards in China has grown up, like grow very rapidly after that. So the second generation from the first, like those people has been becoming a richer by doing business themselves. The first generation has generated wealth. So they have their second generation, has better education. And most of them actually went abroad and learned from the Western world and see how they do business, how they do entrepreneur, and had the knowledge.
16:20And then when those generations started to actually build their own business or start getting into entrepreneurship, and I think that's when the second wave actually came. I think it's the early that's when actually I went back it's 2000 after 2010 I think the Chinese especially the VC industry and the internet industry actually has seen a tremendous tremendous growth after 2010 especially 2015 to 2000 right before the COVID and that's when you see Tencent, Alibaba and this big giant came out and also the smaller ones because people had experience working for the big companies start to build their own business as well and you see softwares like mobile apps like DD, we have the Chinese version of Uber it's called DD and also there's like the different services of China like the apps in China because the Chinese population is very, the density is very high.
17:33So the delivery has been very, growing really fast. And also because the Chinese has a bigger market, entrepreneurship is kind of, it works differently than the Western world in the ways that because the market is big enough and you can have, you would say like if you have idea, you have a quick technology base, you can quickly develop your product. Even if it's like 60%, 70 % complete. And to actually prove your ideas, you can always go to the market and let the market do the stress test on your products. And you can iterate after that. If you see some failures, you can gain from the feedbacks from the users.
18:23the feedback and the cycle is very quick. It's not like the States, for example, in Canada. You don't have too much marketing to test because it costs you too much to actually do marketing nationwide. In China, it's different. You've got a small market. In one city, you get 10 million population. and you can easily get like a million users and you know you can get quickly feedback from the product you roll out. So that's different ways I see it for the entrepreneur side. Yeah, that's really interesting.
19:07Ryan Hanley:I hadn't thought about the market size being such an advantage. I mean, essentially two larger Chinese cities is bigger than the entire country of Canada. and Canada is just barely bigger than the state of California. And then we think of the U.S. market as being large at what, 360 million, but that's a third of or less than a third of the overall Chinese market. That's really interesting. And I'm assuming because I know the U.S. has the highest like paid ad rates, like CPMs are often the highest in the U.S. So even though the market's not as big as China, you're also paying much higher CPMs if you're trying to, you know, test ideas or run ads into a market to try to do some product testing.
19:50Ryan Hanley:So basically what you're saying there is that market size and the dynamic of it allows you to push products out and get feedback at a large scale very rapidly to understand, like, do we have something here or do we need to iterate or is this just a complete miss? Yeah, and I think that's just one example is TikTok, right? because TikTok started in China. It's ByteDance. It's the Chinese version. It's called Douyin in China. They started. Actually, I had a chance as a VC investor. I had a chance to invest in the early stage of the TikTok mother company back in China. That was 2013. When I actually first joined the firm, I looked into their project.
20:36They started as like a news app. So they basically post different kind of news on their apps and people seeing it, and they use the algorithm. Basically, they call it algorithm. At the time, they developed a database because people look at different news. They mark their interest on those news. They actually put tags, right? So at the back end, the algorithm will put tags on all these news people looked at and start pushing for what they are interested. So in that way, people always see what they're interested. So they really like the app. So that's because over time, like TikTok actually, they build up their algorithm because there are so many people using it, they start building the big database.
21:34Imagine if they started up the startup in Canada they don't have enough samples, right? They don't have enough users to help them build the user base. And that's actually, I would say at that time, it's definitely an advantage because they have enough user base to test out ideas and improve the products, improve the algorithm. Then once they have that advantage, they went globalized, right? So they start up TikTok and went viral quickly because they already had all this database algorithm they built up from the local Chinese market. They just applied it globally. And I think similar stories for AIs.
22:23I think the US and China, they're racing for AIs very, very competitively. But I think, I'm not sure if you know DeepSeek, it's also an AI model. It's back in China. DeepSeek actually, they have their advantage because they had more, I would say, like local Chinese market data, right? So that's something that's really important. And even Tesla, they want to have their like auto drive tested in China. and they treat Chinese markets as one of the most important markets globally because they have, in China, you would have like a thousand more like road accident or condition cases than the States, right?
23:19Because the States is all straight roads, highways. In China, you've got this small road in nowhere and the village roads and then Tesla, the IIs can learn all these different kind of driving conditions and it will help to improve their user case eventually. I think that's the reason why right now there is a certain advantage in China in the AI competition, but they're lacking of the chips because the U.S. actually blocked the chips it exports to China. And eventually – but that kind of backfired because you're forcing the Chinese government to invest more to build their own chips. Yeah. Yeah.
24:02Ryan Hanley:Actually, there was a really good – I don't know if you listened to the All In podcast with Chamath Palihapitiya and David Sachs and those guys. If you don't, it's okay. But it's one of the larger entrepreneur podcasts out there, and they were just having this discussion, this exact discussion around the merits of denying. the Chinese market, the Nvidia chips and the Tesla chips, et cetera, these advanced chips. And the argument that was being made is that while everyone on the call could see the kind of defense argument to it from a very short term, maybe scarcity or narrow view, at the same time, they're like, look, like all this tension between China and Taiwan and the state, this could all be solved if we could figure out a way to sell these chips in.
24:57Ryan Hanley:And I think it was David Sachs. His argument was essentially, well, wouldn't we rather sell China our chips, know what they have, and reap the benefit of selling them the chips versus creating, one, this kind of self-imposed friction that doesn't necessarily need to be there. And two, all Chinese entrepreneurs are going to do, as you're describing, is eventually develop their own chips. And I think as we've seen, one of the things, and I follow DeepSeek pretty closely because I'm really interested in the fact that it's also an open source model. And they just came out with, and I'm going to butcher some of the technicalities to it.
25:35Ryan Hanley:I was reading about it. I'm not necessarily, I'm not trained in any kind of programming stuff. So I understand the usage and the ideas, but I couldn't make my fingers make the magic box do the things. but you know this new model they just came out with is essentially created an entirely new framework for how to set certain boundaries and how to uh compartmentalize research so it's not getting lost in context and larger in larger prompts etc and it's and it's you know you see this you know deep seek will move ahead and some of the open source chinese models will take a step ahead and then you see open ai but i do think it feels to me and i'm interested as a technologist yourself, like what your take is on this to like, you look at, you look at say WordPress, right?
26:19Ryan Hanley:WordPress, open source websites. So now we're talking like early two thousands, 2000, 2010 is really when WordPress separated itself so quickly. And so rapidly became the most widespread platform because it was open source. Right. And at that time, you know, I was marketing and sales has always been my side of the house. Right. At that time, And the argument was, well, they're open source. So it's kind of like it got labeled as like amateurish or somehow like the code wasn't as good. And what was really interesting, and I think this is what we're going to eventually see with open source models versus these closed models with AI, is WordPress won because so many programmers were able to get their hands on it and play with it and fix it.
27:03Ryan Hanley:And they don't want their stuff getting hacked. So the entire argument of it not being as secure went out the window really fast. and that WordPress continued to ascend and take over the number one platform in the country or in the world. And many platforms tried, but I truly believe it was the open source nature of WordPress that did that. So do you see something similar happening with open source AI models versus the closed models? Like over time, they'll battle for a while, but open source eventually will win. Or I'm talking widespread use. I think there'll always be very specific use cases for closed models, but I can see these open source models taking the larger everyday user market segment.
27:46Well, I think we need to look at two things. We're talking about models. Models is actually the computing power or the AI models, right? So they have this, they can generate tokens so people can query them and apply to things. but I think eventually it doesn't matter like if the chips getting blocked from the states or China invents their own chips I think it would eventually the models will be very close to each other and there's not too much difference I think you can't really I mean like for ordinary users like you can't really tell too much difference between like a Groke and like DeepSeek or ChatGPT, they all do similar things, right?
28:40Even TikTok has their own AI it's called Doubao as well, right? So they all have kind of similar logic behind it and you know more ironic about it like many of the Chinese scientists actually is working for those AI companies right? Yeah, yeah, yeah. You look at like the Tesla, like they introduced their AI team as many Asian faces. But that's just, it's not very important, I would say. Like the difference will be very, very minimum. And what's going to be making the huge difference, I think right now is focusing on the application side. I think there's an interesting trend. I'm not sure if you see the news.
29:34Meta actually just bought a Chinese company for, I think,$2 billion.
29:40Ryan Hanley:$2 billion, yeah, Manus. Yeah, Manus. The company, the Chinese company, the entrepreneur, they move out of China because they want their application, their AI agent can be used globally because they don't want sanctions from the States. but I think they are very strong team. They actually found it like only eight months old, I think. Yeah. Yeah, if I remember right. So the point I'm trying to make is that it's the closed model versus open model. I think eventually it's going to be, I would compare with like a Google App Store and Apple App Store, and they will coexist. But I think eventually what's going to be big differences to the applications that will be going to come out, like the AI agent that will be going to use.
30:38I think Tesla is more using their AI system for daily, like a transport or robots and that kind of things. DeepSeq is open source so it's the access the barrier to entry to utilize their model is very low and ChatGPT on the other side I think it is currently I think it's a little bit more advanced and it has more resources because they got the biggest investment from the Nvidia and from SoftBank, all that kind of thing. They got more Yeah, Microsoft. Yeah, yeah, they got more firepower. I think they're going to be the strongest. But I think eventually it's depending on the ecosystem, like how they use their models to actually apply to affect the daily life of regular users, right?
Read the full transcript
31:38So for us, we are also interested in, because we are doing the trading platforms, we also often look at like AI tools to help traders or investors to do better investment. And there's many applications to that as well. I'm not sure if you read the story. Actually, DeepSeek, the founder, initially invented the model just to help them to do stock tradings. basically. So they made lots of money to stock trading. Then they decided to make this model publicly available with open source because they see there's lots of applications you can use with the open source, make it more wildly adapted. It's helped more people rather than just keeping them closed.
32:31Yeah. Yeah.
32:32Ryan Hanley:I think the acquisition of Manus by Meta was really interesting. So I've been using Manus almost since day one, since like its first day that it was available in the States. I've been using it. And watching how quickly that team has deployed like level two and level three functionality has been, in my mind, incredible. I mean, personally, I use it. So for let's just say for the production of this podcast, 90 % of the post-production that happens with this podcast is the result of Manus. So I've created a series of prompts. I take the transcript. I take a few screenshots. I take a few headshots.
33:11Ryan Hanley:I pop it into Manus, and then I have a set of prompts that I work through, and essentially everything that I then need, everything from podcast, YouTube, show notes page, what I'm sharing on social, the graphics that come out, and it gives me all these different options, and it's all incredibly high quality. and they actually added a feature before. This was to me, and this is why I think these AI agents. So for guys, for those of you listening at home who may not know the difference, Manus is not necessarily working off its own model per se. It does have its own model, but what it does that is so particular and where in my mind they've stepped ahead and I think shown the everyday user market, something they haven't seen in the other models, is this ability to create on-the-fly agents that then go out and execute off other models.
33:59Ryan Hanley:So it's pulling in Nano Banana Pro 2 graphics, and then it's pulling in, you know, maybe it's pulling in a video from Sora, and it's pulling in, you know, it's using these different resources, and then it also has the ability to go out and hit the web, which it could do that before OpenAI could. So Manus, because it used different models, actually had the ability to go out and do deep research and deep analysis of websites inside a flow before OpenAI could do that. And it's this idea of AI agents, I think, which is really going to be the next level. And we'll look back on these, you know, single chat flow, you know, the kind of early days.
34:41Ryan Hanley:We'll look back and laugh at how remedial, you know, that stuff was when we see these agents and, you know, how quickly voice is coming and visual recognition and all this kind of stuff. It's really wild. Yeah. but the what what man is what the acquisition of man has showed me and i was i was i wish it wasn't meta that bought them because i think meta's ai is kind of whack compared to the other ones personally but um but was how important this idea of multi-agent functionality is to high production like if you really want to get high output you need to be able to run multiple agents they need to be able to talk to each other and they need to know how to layer and I honestly, I don't think there's a better retail user product on the market than man is when it comes to that.
35:31Ryan Hanley:And that was a really interesting acquisition, particularly born out of China, moved to the U.S. or at least, you know, had a U.S. headquarters and now being bought by a U.S. company. It just shows how global this stuff is and how, you know, I often, you know, it's funny, like I love watching politics because it's like watching like Real Housewives of, you know, Washington DC kind of, cause it's all just so it's all performance art, you know? And like, there's, you see these problems, um, you know, ah, the Chinese are doing this, the U S is doing this and everyone's, and you see all these and underneath, it's just all the business people and regular people just working with each other, do it, do it, getting business done.
36:07Ryan Hanley:Like, it's just funny how, you know, you can, you can get caught up in headlines, but you know, I always tell my buddies in particular, and I'm blessed to have this show and be able to talk to people like yourself. I'm like, the people that are actually getting shit done, like it, I don't know you don't even think twice about this crap you're like we're doing business or not you know what i mean obviously there's always a little bit of something you gotta work through but um i want to move over to blockchain and particularly um uh what you're doing there because obviously if you were in early on btc i have made the mistake twice as you did of buying feeling amazing about myself when it go up selling and then watching it go down a little and then go way up again i've played that game multiple times now and i'm now just in a i'm I'm just going to hold this shit until, you know, for a decade or so before I sell any of it.
36:54Ryan Hanley:Big believer, big believer in the tech. What we've seen maybe over the last three to four years in particular is this of altcoins and meme coins and all this kind of stuff. And, you know, there was for a while there were all these core networks that still exist, Solana, et cetera. But it feels like Bitcoin is really one, at least for now, as the gold standard cryptocurrency. Today, if you walk into your local bar or your card game or your golf match or whatever, and you say, hey, I bought some Bitcoin today. People are like, oh, okay. Three years ago, people would laugh at you and say you're playing with video game money or whatever.
37:41Ryan Hanley:um what do you like when you're you know being having a trading platform seeing all this stuff having people being able to trade bitcoin as much as you know wolf coin 133 or whatever right um what has been maybe some of your high level takeaways of this maturation and where do you see the market continuing to mature as we go yeah i think uh like like you mentioned i i bought it early i sold it early too but i i think uh there's a reason why i wasn't really a true believer at the time uh because uh there is no institutional adoption at the time it was too early right so the people didn't really like there's value definitely there's values in bitcoin and but at the time there's not many people actually understand it or can realize or can agree on the value of Bitcoin.
38:39So at that time, there was higher risk than now, right? I'm not sure if you do lots of investment, you always hear about like a reward over risk. There's a ratio, right? So the higher, the reward with higher risk. But right now, Bitcoin might already have a higher price. You won't get that kind of tremendous growth if you bought like$300. But right now, the risk is way lower. The reason why is because I think over the years, especially in 2023, 2024, because of the institutional adoption, because of the spot ETFs, the Wall Street adoption, all the big institutions coming in and realize there's value.
39:40Also, Cassie Wood from ARK and Tesla, Elon, and they all bought Bitcoin, right? So this is when there is common recognition on the value of Bitcoin. And it's obviously they bring up the price, but I think at the same time, it has reduced the risk tremendously. So the volatility on Bitcoin price has been down even like over the last year or two, people are talking about this four-year cycles, right? So we're supposedly, people are arguing if there is still another four-year cycle for Bitcoin. And right now, even if there is still four-year cycles and the volatility will be way less, right? Because all this institutional money and spot ETFs, traditional finance institutions has access to Bitcoin as a storage of value, right?
40:43So because Bitcoin is treated as digital gold because it's a scarcity. It has limited the quantity of 21 million. And even a big chunk of that belongs to Satoshi, but Satoshi's Bitcoin is no longer moving. So it's not in the supply. So the supply is limited. And there is definitely application of Bitcoin on payment or the other things we can use as Bitcoin, as a blockchain even. And I think it definitely, there is a value for Bitcoin itself. On the other side, I think it's Ethereum. It's no need to be mentioned is that Ethereum has a different utility, I would say. I think Tom Lee has been the biggest bullish follower for Ethereum because he's seeing Ethereum as one of the only layer one blockchain that has never been done since gone online.
42:01And it's one of the basics for Wall Street to access blockchain. Basically, I think in the near future, we're going to see real world assets like bonds and stocks. They're all going to be going on chain. And Ethereum is going to be one of the most viable chains they're going to adapt. So I think the 2024, when the spot ETF for Bitcoin came out, that's the Wall Street adoption for Bitcoin. And 2025 this year, because of Tom Lee and Bitmain, he's one of the biggest ETH holders for a listed company right now. So he's holding, I think, over almost 5 % of the float of Ethereum. And I think he is one actually, that's actually a bookmark for Ethereum getting a Wall Street adoption, like the institutional money actually supporting that.
43:12And also on top of that, this cycle, the bullish cycle is way different than the last one in 2017. Because like you mentioned, there's millions of meme coins, altcoins out there. And I would say most of them has no value. and that's also the reason why even the major coins Solana and Ethereum they're not going up as much percentage-wise as last cycle because there's so many coins to select, especially for the retails. They follow for KOLs. they are often very excited and pushing for a couple of meme coins, and then eventually this came down and crashed, and it has no value, and people just lose money on that.
44:11It's distracted all this potential money can invest in the major coins, the Bitcoin, Ethereum, Solana, where they do have values. So that's why I think this bull market is more like institutional driven rather than like we have like a retail really making lots of money on the last cycle. And also, there's another side note is that during last cycle, the Chinese market, the Chinese retail can still have easily access to cryptos. But right now, because the Chinese government has very strict rules on trading cryptos in the mainland China, it's not easily accessible to any trading platforms. So that's potentially has reduced the money flowing to the market as well.
45:07So, but it could be a potential opportunity. Maybe I think in one day there's going to be an open policy and for the Chinese can get access to crypto trading. And that will be like potentially boost the market a little bit more higher, I think.
45:27Ryan Hanley:Yeah, that's a really good insight. And so I have a couple of things I'd like to clear up for the audience. because you talked a little bit about this. And let's just stick with Bitcoin and Ethereum for now for this part of the conversation, right? We have Bitcoin, which I think it's maybe more naive detractors. You know, it's not worth, it doesn't do anything. You know, it's really that idea of a store of value, right? It's not, no one's running applications on the Bitcoin network to a certain, you know, for the most part. Like it's basically just, I buy this because it has value. And I also have some gold and I also have some mutual funds and I'm diversifying and whatever.
46:04Ryan Hanley:OK. And then you have networks like Ethereum, which have incredible utility. Right. My industry that I grew up in was the insurance industry here in the States. And there has been talk for a long time. And while the insurance industry in the States seemingly believes it's 20 years in the past technology wise from anything that's actually happening today, They tend to just be massive laggards. The conversation around insurance policies are an incredible use case for using blockchain technology, a coin or otherwise. And the conversations around that have been if the industry were to start to make a move, Ethereum would be the network in which an insurance policy blockchain would be built on.
46:53Ryan Hanley:Okay, so if I'm sitting here and I'm just a retail investor, I got 5%, 10 % of my portfolio I like to play around with. I like to put it in some different things. How do people start to gauge like a Bitcoin investment, which as you said, and I've seen it as well as just a retail investor, volatility is down. And even though you saw a move recently, you know, if you pull out a little bit, you can just see the dips and the highs are not as big. And you're kind of seeing a natural kind of up and down progression with up and to the right being the overall course. Where Ethereum seemingly is going up but has been much flatter.
47:39Ryan Hanley:It's kind of been around that$2 ,800 to$4 ,000 mark for a long time. And as you said, if I'm just a YOLO Reddit investor who looks for the next hype cycle on some Reddit board deep down in Reddit and I put a bunch of money in whatever coin, that could be going to an Ethereum. It could be going to one of these other chains. So should I be thinking more Ethereum, Solana, et cetera, like one of these that haven't moved in a long time but have a tremendous amount of utility, have thousands if not in some case hundreds of thousands or even millions of applications being built on them, like seemingly are going to be around for a long time because of the tech?
48:23Ryan Hanley:or should I be thinking more, hey, let me just put my money in Bitcoin and ride the wave or do I YOLO and chase the Reddit boards? Like how do I start to think through where I should play? Because I have so many friends, so many, who when you get a couple whiskeys in them, will tell you about all the ridiculous coins that they put money in that they felt amazing about for about 20 minutes and then all of a sudden their account was at zero when everyone crashed out. So how do you start to think through this as a, we'll call it a unsophisticated crypto retail investor? Yeah, I think if you are a beginner, I think it's always to start to get, for example, if you're new to the crypto trading, I think you always get to start with the spot trading.
49:18and so if you know your trading platforms, for example, Binance, OKEx or even NAS, LevX, and you can get in there and you can open your account and deposit your USDT or your coins and do spot trading to start with. Just get familiar with the features and get familiar spot trading, Bitcoin, Ethereum, the major ones, not the smaller ones, right? So you just go on Core Market Cap. It's one of the website you use. You just go down to the list. On the top, I would say top five. Aside, like top five is like first one is Bitcoin. Second, Ethereum. After that is Binance, Solana, XRP. I think until that point, XRP is the, I think is the most riskiest ones you want to invest in.
50:16So just start there and then maybe start slowly as well. And then one strategy you can use is called the dollar cost average. You can do DCA. And over the times you can build, for example, let's say today is 92K for Bitcoin. You buy 10 % on your portfolio. and tomorrow it came down or next week, the same day, next Monday it came down and then you buy another 10%. It doesn't matter the price and you just, in 10 batches right now, like you can just slowly go down, right? Maybe in 10 weeks it came down to 80K and you started at 90K so your average is like 85, right? So then when they start to go back up, maybe in the next month or so, and you can always make money, right?
51:16So you don't have to worry about liquidation and everything. And that's one strategy for the beginners. They just get used to how the market moves and they get a sense how it's trading, right? Then once you start making some money and you can use your profit, you can take some of the profit out and sell them, and you can start looking to some of these more aggressive ones, right? So if you started with Bitcoin, you can move into Ethereum or even Solana or XRP. And you can do the same strategy, right? So you can just buy a spot and start making your regular buys and eventually you can make some profit.
52:04Just make sure the money you put aside is like the investment money, not the money you need to pay the everyday cost, right? So once you have made some successful trade and you can go to the next level and you can start looking at perpetual trading. What's the perpetual is the futures contract. Basically, you can have leverage. but you're going to do leverage very smart because I think in the long run, people lose money because they over leveraged. And leverage, in a certain sense, I would say my business school professor always tells me leverage will, if you use it the right way, it's the only way to make you like a richer, make you to the next class, right?
52:59So like even retail, the same. Like if you're buying a house using mortgage, that's a leverage. You start a company and you raise money, that's a leverage. And trading stocks using margin, that's a leverage. So trading crypto and using perpetual contracts, that's a leverage as well. So you understand the leverage and then you use it only partially of the capital you have. I think the best case is you made money trading spot and use that profit and you do leverage trading when the market is actually very clear, not when the market is in the range bonding. Right now, I think the market is still in range bonding.
53:47It's not a great time to use leverage to trade, but we can still building the spot at this moment, just doing DCAs. I do see in the first half of the year, we might see some downside. Personally, I'm waiting for Bitcoin because I sold my spots and I'm waiting to buy back my spot, maybe under 80K, even though I think currently there's a bounce. I think there's still a little bit more downside and wait until the water is cleared and the trend is clear, I will buy some spots and then I will do some leverage, very low, like 3 to 5x. And that's normally my play.
54:32Ryan Hanley:Basically, we need to wait till CNN and Fox News are saying that Bitcoin's dead and it's going to zero. And the minute they say that, that's when we probably should start. That's when you start buying. Or you see the headline news is that there's like over the last 24 hours, It's like a hundred million, a hundred billion, uh, like a market value lost in the crypto market and things like that. Yeah. Yeah. Yeah. Those, but I basically, um, cause I'm not smart enough, nor do I have the, uh, self discipline to trade I've tried. And I just like my ADD goes off the rails and I, I just want more, you know, I want action.
55:11Ryan Hanley:I just set up, um, I just invest. I just DCA every week. I literally have it just set up auto by a certain amount every week, and I don't even think about it. And that's when I see, oh, it was at 127, and now it's at 92. And I'm like, meh. I'm not – who cares? I'm not investing today for a quick lift for the type of investor I am for Bitcoin in particular. It's just I think there will come a day where it could be five years from now. It could be a decade from now, 300, 200, 500 ,000 if you're just DCAing or if you're doing it in chunks. There's going to be a time in the future when you're very happy that you just – you didn't try to time it.
55:58Ryan Hanley:You didn't try to get out at certain times. Exactly. I think if you're very smart and you know what you're doing, I think there's an incredible amount of money to be made trading. I think for a lot of the people listening, especially if you're a business owner and you don't have the time, right? This is where you get caught, I think, in futures trading, at least my friends who've really lost decent chunks, has been they don't have the time to invest. They think it's like this side hustle where I can show up for 20 minutes and open up my app and do some – and you just can't be successful long term that way.
56:30Ryan Hanley:It's a job. Trading is a job. This is what people do all day long. It's harder than the daily job. And you have to compete against people, like, for example, the financial firms or professional traders, they have invested maybe 10 millions in developing a software trading against you. And how do you think you can successful beating them, right? So you can only beat them with luck or you beat them with time. Like you can use, you can like broaden your time frame and then you slowly put your money in and you get an average, your cost down and then play the long game. So because the professional traders, they're looking for a short run, right?
57:15Or you wait until maybe the AI tools came out and they can help you to trade. And we, like as a trading platform, we actually look into those features as well. we're in the middle of developing those so so we hope this can help the traders improve their trading uh success rate yeah so with your platform right um i can buy and hold right it's not is it
57:42Ryan Hanley:only trading or i can just go like let's say today i'm listening to this you're like you know i like this guy i've been wanting to buy some bitcoin i've been wanting to get in i've been saying i'm going to do it for a while i can just go download the app you know put my information in i can buy and hold but then if i do want to start playing around and maybe like you said take take some profits here and there and and actually make put some bets in do a little futures trading on the side i want to learn that game i can your platform will allow me to do that as well so i kind of the full spectrum of opportunities to play in the game definitely definitely we have uh well we have a spot trading we have futures trading you can even do using the spot as a collateral to do some kind of leverage to trade as well.
58:25And also we have definitely like across all this sales marketing, we have this welcome bonus and everything. You can maybe just come sometime. We have promotions going out. You can come and deposit some money, get some trading credits, and you can trade with the trading credits. It's not costing your own money. And it's a good way to get used to some of the trading features as well. Yeah.
58:51Ryan Hanley:So I want to finish with like, you've had this dynamic entrepreneurial journey, not just in China, across the world. You've been in multiple different places, interacted with a ton of different people. You're sitting in Dubai today while we're talking, which just makes this so incredible to begin with. Doesn't have to be crypto. It can be whatever you want. When you can kind of sit in your spot and you look out over the ecosystem, maybe you put your VC hat back on for a second. Like what's the one tech sector, et cetera, where you're like maybe the market doesn't understand how much further this has to go, right?
59:30Ryan Hanley:Like we keep hearing like AI is a bubble. It's going to pop and it's going to become – or crypto or is it energy? Is it nuclear? Is it space tech? Like if you were sitting there today and we're, you know, something that really got you excited, what's that thing that you're like, man, this is going to move. Like I don't know, maybe know when, maybe not sure which company, but this sector's got legs and it's going to hit here in the next few years. Well, I think AI is already, everybody is already talking about. I think AI agents like Amedes, I think definitely there's more. I think AI agent is like the application on top of AI models.
1:00:17There's going to be lots of use for AI agents as well. But I think one thing I'm currently looking at, I think I still have lots of hope in Ethereum. Because like we talk about, well, I think Tom Lee sometimes overstated some points. But I do agree with him on certain degrees because Ethereum is the utility-wise, like it is the gateway for the whole Wall Street or traditional finance to access blockchain. And that's something going to be really huge. Like you mentioned, the insurance, even real estates, right? So in Dubai, they already put some of the buildings, real estates, got tokenized and put it on a blockchain.
1:01:14And people can buy shares of it or buy the coins. So basically owning a partial share ownership of that building. I think also there's many, many applications you can use. Also Polymarket, right? So Polymarket, you can do all this betting and forecasting on blockchain. I think there's whole many things you can do.
1:01:42Ryan Hanley:Polymarket's on Ethereum, built off Ethereum? I think they definitely utilize the Ethereum blockchain network. I think you're right. I just wasn't 100 % sure. Yeah, yeah. Yeah, we can double check. Well, I love that. I mean, to be honest with you, Ethereum had definitely fallen off my radar a little bit, mostly just because I don't think about crypto every day. But I think you're right. I mean, Bitcoin is essentially paving the path, I think, culturally for people to accept, doing air quotes for those that are listening, kind of crypto in general. It's kind of that beachhead. Crypto is kind of establishing the beachhead.
1:02:21Ryan Hanley:But I'm listening to you and I can't find a hole in the idea that the next wave is going to be these actual utilitarian chains that where people are building. I mean, and guys, just so you know, like it's not like there's a few applications on Ethereum. Like we're talking some major, major applications, major platforms. I mean, entire business models, companies, you know, regulatory, I know regulated industries that are starting to either, that are currently using or dipping their toes in. And I think once you start to see, like you said, finance, insurance, these highly regulated industries start to grab onto these, I think that's where the dominoes really start to fall because once the regulated industries are in, there's not really an excuse for anyone else to not start to invest and go down the rabbit hole.
1:03:13Ryan Hanley:Harvey, man, I could talk to you about this stuff all day. I know it is late where you are. I appreciate the heck out of you guys. It's probably close to 1 a.m. now in Dubai where Harvey is. So I appreciate you taking this time. It's been a wonderful conversation. where could people learn more about your company? And then if they want to follow along with you personally, do you create, do you share thoughts anywhere? Is there any platform that you'd like to push people to? Yeah, actually we have our official website is www.levex.com. And also I'm on Twitter as well. My account is at Harvey Levex.
1:03:51And our official Twitter handle is at LevX. That's our official account. So if you want to learn more information about us, just hop on to one of the platforms and look for us. And also, I will be on Spaces every Tuesday. There is a quantum economic Spaces. I will talk there, talking about the market every Tuesday. I think it's 10 10 a.m. Eastern time I'll be there so if you guys want to listen you can always find me there as well and also thank you Ryan for inviting me and having this interview today and really love to talk to you maybe we can set up another show later on for AI or the other stuff we would love to talk about.
1:04:39Ryan Hanley:I would love that I'd love that we spent a lot of time on And we'll call them higher level psychology leadership type topics the last year. Coming into 2026, we're going to focus more on finance, on technology, on, you know, AI, et cetera. And I think it's a tough game, you know, when you're in a leadership position managing kind of the humans, right? You got the humans, which are really hard. And then you have the actual business that you're trying to build and the technology related to it. and we're trying to capture the full spectrum here and give people a place to have these conversations and learn.
1:05:20Ryan Hanley:So I just appreciate you. I know it's late. This has been a wonderful conversation and look, man, open invitation. We will definitely have you back. Anything comes up, you dropped that, some of the AI features you're talking about into Levex, come right back on, man. I'd love to have that conversation. Thank you so much. Yeah, thank you. Thank you, Ryan. Yeah. Yeah. It's very nice. yes, that puck thing, yeah.
From the publisher
Spartan philosophy, built in the black-ops lab of business: https://www.findingpeak.com
Finding Peak podcast: https://linktr.ee/ryan_hanley
He bought Bitcoin at $200. He had the chance to invest in TikTok before it was a global phenomenon. Now, venture capitalist and Levex founder Harvey Liu is revealing what he believes is the single biggest trade of the next five years.
In this episode, we go deep on:
- The real reason China's tech scene is crushing the West (it's not what you think).
- Why Harvey believes Ethereum is a better bet than Bitcoin right now.
- The simple, 4-step playbook for new crypto investors to avoid getting wrecked.
- How AI is about to change trading forever.
If you want to understand the hidden forces driving the global economy and where the smart money is moving next, you can't afford to miss this.
Connect with Harvey Liu:
- Website: https://levex.com/en/
- Twitter: https://twitter.com/HarveyLevex
This is the way.
This show is part of the Unplugged Studios Network — the infrastructure layer for serious creators. 👉 Learn more at https://unpluggedstudios.fm.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.




