Let's walk into the current heated competition in Crypto AI, exploring TrueNorth's unique positioning, core technological advantages, and future product iteration paths.

Written by: Deep Tide TechFlow

In a Crypto AI track where an AI Meme can be issued in seconds, TrueNorth stands out as the first AI-driven value discovery engine in the Crypto industry.

Taking advantage of the important opportunity of TrueNorth's internal testing, Deep Tide TechFlow engaged in an in-depth conversation with TrueNorth's co-founders Willy and Alex.

"TrueNorth is at the forefront of generative UI/UX, where the front end can dynamically adjust UI/UX in real-time based on user investment preferences. Meanwhile, our Agent search can now achieve latency of under 10 seconds across multiple data sources, and with optimization, it can even provide user-level feedback in a few seconds. Currently, no other Crypto application can achieve this," Alex explained.

At the same time, TrueNorth captures the core demands of Crypto users. Regarding the uniqueness of Crypto AI, the two founders believe:

"On one hand, from the distance between user intent and the realization of final goals, Crypto is the farthest, but AI can significantly shorten this distance; on the other hand, Crypto is very close to money, and user demands are straightforward—make more money or lose less. In simple terms, the problems Crypto AI addresses are more focused and have greater feasibility."

Through this dual perspective of Web2 and Web3, Willy shared insights on how to quickly help users establish recognition of TrueNorth:

"Crypto is an adventurous journey, and TrueNorth hopes to guide everyone like a compass through the industry noise to find the best results."

In this issue, let’s follow Willy and Alex's perspectives as we delve into the current heated competition in Crypto AI, TrueNorth's unique positioning, core technological advantages, and future product iteration paths.

AI can solve the most painful points in Crypto

Deep Tide TechFlow: It's a pleasure to have the opportunity for an in-depth conversation with you. First, could you both introduce yourselves?

Willy:

Hello everyone, I am Willy, co-founder of TrueNorth.

From mid-2022 to the end of 2024, I worked at WOO, a centralized exchange that also has a decentralized trading platform called WOOFi. I initially served as COO and later took on the role of Acting CEO. During my tenure, I led the company's expansion in Europe, Southeast Asia, and South Korea, significantly increasing business scale. I was mainly responsible for the overall strategy of the company, including business development, legal compliance, and more importantly, the construction of the WOO ecosystem, overseeing the establishment of the WOO ecosystem, DeFi business expansion, cross-chain integration (including 14 chains such as EVM chains and Solana), and WOO Token Listing. This was my first journey in the Crypto world.

Before entering Crypto, I was a Web2 founder. From 2015 to 2021, during the peak of the internet SaaS era, I founded a SaaS company focused on CRM and URP business, with nearly 200 employees. We raised funds from angel round to Series B, with major investors including Shunwei Capital, co-founded by Lei Jun. In 2021, I chose to exit and began exploring Crypto.

Alex:

Hello everyone, I am Alex, co-founder of TrueNorth.

I have a background in AI, having obtained my PhD from the University of Michigan, Ann Arbor, focusing on AI eigendomain specific computer direction. Previously, I worked as a researcher at Intel Labs, focusing on research related to Machine Learning acceleration.

In my second year of PhD, I joined an AI chip company called TianShu ZhiXin as my first entrepreneurial venture, mainly responsible for the technical aspects of software and hardware systems, leading R&D in North America.

After graduating, I returned to Shanghai around 2020 to join McKinsey, serving clients in various industries including semiconductors, cloud service providers, AI unmanned retail, and gaming, mainly responsible for product go-to-market strategies and the implementation of new business models.

Later, I joined Temasek, a sovereign wealth fund in Singapore, mainly responsible for technology investments in Greater China and the Asia-Pacific region, covering AI, semiconductors, and Crypto, focusing on primary market direct investments, secondary markets, and some Founder Funds.

After two years at Temasek, I joined a portfolio company, Suiyuan Technology, currently the largest AI chip company in China, with a post-investment valuation of around 20 billion. I am responsible for the entire product, strategy, and capital market-related business, with products mainly including the fourth generation of GPUs, and we have also built the largest data center in Western China. In the capital market, I mainly assist the company with its listing, working on listing-related tasks last year, hoping to complete the Sci-Tech Innovation Board listing this year.

I met Willy during my time at Temasek. Since I have always been in the AI field, I saw the potential for the combination of Crypto and AI with the rise of Agentic AI, and I resonated with Willy.

Deep Tide TechFlow: Both of you have rich experiences in Web2 and have firmly chosen the Crypto + AI track. Could you share what you find most attractive about this track?

Willy:

When I first entered Crypto from Web2, my biggest feeling was: Web2 flattened information, so Web3 should flatten money. This "flattening" means that everyone can more easily access the benefits that technology brings to users and society. Based on this foundation, I began to think that if we combine Crypto and AI, we could do many different things.

Balaji Srinivasan, former CTO of Coinbase, wrote a book called "The Network State," which inspired me a lot: from a macro perspective, for example, the US-China competition will accelerate the formation of cultural circles, which do not exist in the form of nations but are based on networks, where everyone's digital identity, assets, etc., exist in a decentralized form.

I was excited by this idea, so I entered Crypto. However, over the past three years, I believe the progress of Crypto in terms of adoption has been slow, due to many reasons such as user experience and compliance issues. Although there have been some technologies developed during this period, such as chain abstraction and AA wallets, users still lack a good entry point into Web3 and to enjoy the advantages brought by Crypto. It wasn't until early last year when I talked to Alex that I saw the important role AI could play in this area and recognized it as a significant opportunity, which led to the creation of TrueNorth.

Alex:

I want to add that when I was in Web2, I observed many SaaS companies, and many ToB-related businesses landed in the AI direction. Early on, I realized that the wave of AI, especially the rise of Agentic AI, would significantly change user interaction interfaces or habits.

Web2 actually has several phenomena, including those who previously worked in SaaS, who all hoped to provide a very standardized product so that it could be widely adopted, which would then reduce costs and increase efficiency. However, standardized products cannot adapt well to diverse needs, especially in complex scenarios, which often require high customization.

Until the emergence of Agents, which can significantly shorten the distance between human intent and the realization of final goals, enhancing user experience. This shortening of distance has already occurred in Web2, for example, in very vertical fields like law and healthcare, where the interaction relationship between users and AI has changed. I noticed this change a year before Agents entered the mainstream, and I believe this change is comparable to the Mobile Revolution, akin to the new UX/UI impact created by the first iPhone's smart multi-touch screen.

Agents represent a paradigm shift. The imagination that OpenAI brings to users might be that you chat with an Agent by typing, but many current Agents aim to proactively output to users based on their preferences, informing them what they should pay attention to. This was an important new assumption we envisioned during the Agent revolution.

As for why Web3, it’s because we believe that in all user journeys, the distance between user intent and the realization of final goals is the farthest in Crypto, simply put, it has the most friction. A very intuitive example is that in Crypto, decentralized infrastructure defines user experience, rather than user experience defining infrastructure in reverse.

Based on this, we believe that Agentic Technology can effectively address the most painful points in Crypto, helping users better acquire Alpha, financial opportunities, etc. As Willy mentioned, the combination of AI and Crypto can further flatten information and opportunities, better serving personalized needs and smoothing the entry barriers of DeFi. We hope to combine AI with Crypto to better address the pain points of the Crypto community or enhance the experience for more users entering Crypto in the future.

Crypto AI is closer to money and has greater feasibility

Deep Tide TechFlow: The narrative of Crypto + AI is heating up, but there are still some doubts from many Web2 AI developers regarding the development of Web3 AI, whether it’s about AI development capabilities or products. How do you view these perspectives? What do you think is the core value of Web3 AI?

Alex:

Let me first answer the first question: What makes Crypto AI different?

In my view, Crypto is an industry that is very close to money because all transactions in Crypto occur on a transparent, public, and decentralized ledger. This means that, to some extent, as long as you dig deep enough, all secrets can be laid bare in the sunlight. I think this is the biggest difference between Crypto and traditional finance; it’s just that there weren’t many participants in Crypto before, so not much information was mined and exposed to the light.

Based on this perspective, as more and more people enter Crypto and begin to analyze this data, you will find that since a large amount of on-chain data is a public fact, how can we process this data in a more real-time and transparent manner, and present this information in an inclusive way to help more people easily establish a clearer understanding of Crypto?

On the other hand, precisely because Crypto is close to money, from an AI perspective, user intent is more direct, and there are fewer forks in the process of helping users achieve their ultimate goals.

For example, when you ask a question in a search engine, your thinking is very divergent; you might ask about the weather, food, etc. The loop between your question and your intent has many different paths. However, in Crypto, users' questions are very simple and straightforward, summarized as: How do I make money? How do I make more money? Or how do I lose less money? The closed-loop path between the user's initial intent and the realization of the endpoint is clearer in Crypto, and AI can use existing data to equalize information, helping users better manage their assets, or simply put, helping to discover more wealth opportunities. I think this is what makes Crypto AI special. Compared to Web2 AI, Crypto AI addresses more focused problems, and based on on-chain data, as long as it can better aggregate information and adapt to personalized needs, Crypto AI has greater feasibility.

After sharing the uniqueness of Crypto AI, the second question is: Why do people feel that Crypto AI is not landing effectively?

Upon closer observation, you will find that the grand narrative of Web2 AI is about how to break through in general capabilities. For example, OpenAI can do everything; it can help you with financial analysis and track F1 racing progress. It aims to continuously enhance general capabilities to further drive landing, which is a high vision but also a significant challenge. Therefore, the truly core talents are somewhat converging in this direction.

However, many Web3 Agents are dedicated to solving practical problems, including UI/UX, user personalization, and information over-dispersion. As mentioned earlier, the problems that Crypto AI aims to solve are more focused, but in the process of solving these problems, Crypto AI has two stages.

First, Crypto AI can be quickly validated or falsified because the most direct point of combining Agents with AI is consumer-facing; users can easily feel whether the product is good or not. In the past, it was actually very difficult to falsify Crypto; for example, creating a chain and following the narrative for three to five years while changing with the cycles required a long time for everyone to truly see the project. However, the pace of Crypto AI is fast; the first wave of AI was basically all memes, which from a technical stack perspective is indeed quite low, and its real value is actually unclear. For example, when GOAT was born, everyone thought it was fun, but no one really cared about what GOAT was saying. In summary, in such a cycle that is easily falsifiable, user-facing Crypto AI will indeed face stronger impacts.

However, problems come with opportunities. Since everyone realizes that Crypto AI is not just memes, how can we do better on this basis? In other words, how can Crypto AI more precisely solve the problems users encounter? For example, in some high-frequency, essential scenarios, using AI to help users understand why prices rise or fall, what to pay attention to, and what actions to take, I believe there are many real problems waiting to be solved, which is also what we want to address through TrueNorth.

Deep Tide TechFlow: Based on your answer, if there is an opportunity to attract more Web2 AI developers to enter Web3, what do you think that opportunity would be?

Alex:

From a visionary perspective, the product we are building is precisely that opportunity.

What TrueNorth is doing is quite simple: every morning when you wake up, you will definitely check your wallet to see if you made a profit. TrueNorth aims to help you achieve better asset allocation—whether to buy or sell, and why prices are rising or falling. We are committed to smoothing out the entire path and making it very seamless, allowing AI to provide personalized services for each user.

Currently, the penetration rate of Crypto is only 5%, and there are already some CeFi users willing to use similar AI products to manage assets and capture wealth opportunities in Crypto or DeFi. So, could the product we are working on today be the first product for the next wave of 5% of users entering Crypto?

I think this is a goal we genuinely want to achieve: every user entering Crypto will have asset management needs and will need to know what opportunities they should discover and capture in this industry. However, with information being so explosive and noise being so prevalent, they need a product that can help them seamlessly handle these issues, thereby guiding more people into this industry. I believe TrueNorth will be one of the important opportunities you mentioned to attract more Web2 developers into Web3.

In simple terms: When people first encounter Crypto, they will think of TrueNorth; TrueNorth is the essential product for them to enter the crypto world.

Deep Tide TechFlow: Indeed, many friends encounter Crypto for the first time, and even some very simple, basic terms can confuse them. For example, a friend recently wanted to use USDT to purchase a membership on an external website, and he didn’t even know how to buy USDT, how to transfer it, or what a TRC address or EVM address is. There are many fundamental issues that need to be resolved. As Alex just shared, if we are targeting very novice users and want to bridge the gap between Web2 and Web3, we indeed need to put in a lot of effort in content or product design, which also represents a significant market space.

Willy:

I completely agree with your statement. I have many friends like that around me, and recently, during some user interviews, we learned about many friction points they encounter when entering.

Regarding how to attract more talent to build in Crypto, I think it is much harder to do Crypto now than before, especially since some altcoins are basically hard to come back from. Therefore, I believe that current Crypto projects need to have a very strong ability to discover real needs. This has a lot in common with some Silicon Valley methodologies in Web2, which is that you need to find a very specific pain point and then solve the problem through an application. If you can clarify this, on one hand, you can influence users because you have identified their actual needs, and on the other hand, you can also attract excellent talents to join in solving real problems.

After identifying the pain points, entrepreneurship is often a competition of cognition, including the technical implementation of the project, the realization path, and strategic thinking, which are also important factors in attracting talent.

The third point is execution capability. A few days ago, I shared a picture on Twitter. As Alex mentioned, many things in Crypto are difficult to falsify, but from the perspective of applications, we need to clearly measure product performance through some basic dimensions. This aspect of execution capability is reflected in timely product delivery capabilities, among others.

TrueNorth: 7 x 24 Hours of Crypto OG Partners

Deep Tide TechFlow: Earlier, we talked about some product visions: when people first encounter Crypto, they will think of TrueNorth. The project name often reflects the important vision of the project. Does the name "TrueNorth" have a deeper interpretation?

Willy:

TrueNorth was actually proposed by Alex because we feel that for most users, they are like adventurers embarking on a Crypto journey. Crypto can be quite dangerous; not only is it easy to lose money, but there is also a vast amount of information, many traps, and high complexity. Therefore, we believe this adventure needs a guiding force. "TrueNorth" is like the compass that guided humanity in its first exploration of the Arctic, like the Northern Lights, illuminating a lamp for adventurers on the cold earth, pointing out a path and making the journey less lonely.

Additionally, there is a lot of noise in the industry now, and the "True" in our project name also hopes to guide everyone through the fog to find the truth, helping everyone truly reach their destination.

Deep Tide TechFlow: For users encountering TrueNorth for the first time, how would you describe the product in the simplest terms to help them quickly understand TrueNorth's unique positioning in the Crypto market?

Willy:

In simple terms, TrueNorth is the first AI-driven value discovery engine in the Crypto industry, which means TrueNorth can integrate diverse data to assist users in timely grasping market dynamics, enhancing investment decision-making and efficiency.

In addition, TrueNorth also has significant advantages in personalized experience. TrueNorth can provide tailored investment information and advice based on users' levels of crypto knowledge and preferences, optimizing users' asset management levels through intelligent portfolio management. This is our AI Portfolio, which continuously monitors the market around users' assets and outputs signals based on users' habits, preferences, and future needs. These signals can assist users in making investment decisions and provide effective risk management, making the entire trading process simple and efficient.

Alex:

I hope TrueNorth is the first app that Crypto users open every day. As we just discussed, Crypto users need to manage wallets, accounts, and understand market trends. In summary: What has happened? Why did it happen? What actions should I take?

These three questions are concentrated together, theoretically, they can be launched on multiple platforms. We hope that the launch on these multiple platforms can be based on the user's own needs, aggregating information to a place the user trusts, helping them find the truth behind the data. In summary, it can be said: a trustworthy partner guiding you to find direction in the chaotic crypto industry.

Furthermore, TrueNorth has many functions. If we were to personify it, it would be like your 7 x 24-hour crypto OG partner. You can turn to it for any questions you have in Crypto, and when you wake up every day, you first check the crypto market trends through it.

Deep Tide TechFlow: The next interesting question is that sometimes AI can also lie, and issues like AI hallucinations are often criticized. TrueNorth itself outputs a lot of information to users. How can users trust that the output results from TrueNorth are reliable? Or how do you ensure the authenticity of the information?

Alex:

This is a great question. On one hand, TrueNorth has a sufficient number of data sources that are real-time. Our data sources include both on-chain and off-chain data: on-chain data includes real-time data from various chains like Solana, EVM, etc.; off-chain data includes signals from TG groups, some exchanges in Alpha groups, and even sentiments from Crypto Twitter.

We aggregate a large amount of data with precision, and the underlying Agent uses reinforcement learning to further learn how to refine this data based on real-time market changes. With a sufficient number of real-time data sources, the AI cross-verifies the logic to form a closed loop, using the capabilities of large models to integrate these elements and arrive at a truth that is closer to reality.

For example, today you might find many people shouting signals on Twitter or offering enough rewards to push a project into more people's view, but is this project really a good one? Sometimes it is not. Evaluating the quality of a project requires more data, such as Market Cap, on-chain liquidity, future planning of the project, etc. Therefore, TrueNorth is essentially a multi-dimensional due diligence tool that presents the most diverse data to users as truthfully as possible, without distorting the output results through other incentive mechanisms.

I think this is one of the unique aspects of TrueNorth; it provides the most authentic feedback based on market data, which is completely different from many signal marketing strategies. I believe this will also provide users with a very different experience.

"Personalized" Front-End Experience, Ultra-Low Latency Back-End Efficiency

Deep Tide TechFlow: Alex has already shared some technical logic or thoughts, so I would also like to ask both of you to share which technologies TrueNorth is leading in. What problems have deeply troubled the team when tackling related technical issues? Could you share some interesting stories behind the technical development?

Alex:

Our technical foundation consists of three major modules:

• Generative UI/UX: TrueNorth adopts a dynamic, super-personalized interface that actively adapts based on each investor's interaction behavior and the ever-changing market conditions.

• Agentic Flow: Our unique scalable intelligent architecture seamlessly integrates discovery and execution functions through advanced multi-agent collaboration. TrueNorth can infer intent based on users' historical behavior and preferences, coordinating complex investment workflows to reduce cognitive load and simplify operations.

• RL Bootstrap: TrueNorth employs advanced reinforcement learning techniques, including self-play, multi-agent reinforcement learning, and human feedback-based reinforcement learning, to continuously optimize the performance of the agents.

I believe generative UI/UX is a very cutting-edge concept. Although many people are starting to pay attention to it now, our application has a core goal: to achieve true personalization.

Initially, when Willy and I discussed, someone mentioned that customization was also attempted in the Web2 era, but the results were always unsatisfactory. However, we believe that through Agents, we can solve the past challenges of achieving personalized experiences.

In Web3, generative UI/UX is the key path to solving problems. During users' exploration of Crypto, regardless of whether they care about technical indicators, TLDR summaries, personalized signals, or even a feature we have called "look through someone's sight," which allows users to view issues from the perspective of a KOL or influencer, how do we visualize these user concerns? This is what generative UI/UX does—using AI to generate visual content in real-time on the front end, including data modules and charts, similar to the widgets in Apple's health app, completely set according to user preferences.

For example, if Willy is a long-term investor and I am a meme investor, the content we focus on is different, and the product we see on the front end is also different. TrueNorth dynamically adjusts the UI/UX based on users' investment preferences, which was completely unachievable before because traditional methods were templated. Our breakthrough in generative UI/UX is an important innovation and one of the core highlights of our product.

In overcoming this technical challenge, the biggest issue was how to achieve better customization. The advantage of Web3 lies in wallet connections, where users' transaction records, purchasing behaviors, etc., can be seen, providing a solid foundation for personalized cold starts. Based on this, we have already achieved stunning results in our product prototype.

The second story is about Agentic Flow. This concept sounds simple, and people might say it’s the second mainstream framework like langchain, but while it’s easy to create a toy application, achieving a production-level application is very challenging.

For example, our Agent search can now achieve latency of under 10 seconds in the case of multiple data sources, and even after optimization, it can provide user-level feedback in a few seconds. Currently, there should be no Crypto application that can achieve this.

Moreover, in the future, we need to support tens of thousands or even millions of DAUs. If we use existing open-source frameworks, even the best frameworks in Web2 cannot meet such technical specifications.

The core challenge we face, besides achieving ultra-low latency, is designing an efficient Agent organizational structure. Behind every front-end generative UI, there is an Agent. How does it quickly find answers and present them personalized according to user preferences? This involves a series of complex technical challenges. Our core team members have previously been responsible for production-level architectures for the largest e-commerce and media platforms in Southeast Asia, so we planned for production-level scalability from the very beginning. To achieve sub-second responses, we had to build our own infrastructure and technical system from scratch. This is also an issue that many teams (whether Web 2 or Web 3) have not yet prioritized in AI development, while we have already laid the groundwork and completed these technical breakthroughs.

Deep Tide TechFlow: TrueNorth is currently in beta testing. How has the feedback been so far? Good or bad, can you share some of your observations? What new features or updates can users expect from TrueNorth?

Willy:

In this process, we have found that there are significant differences between different users. For example, veteran Crypto players and newcomers have completely different understandings of the same event or data, as well as different expectations for how the product should present results. Additionally, different users have varying needs for the entire user journey. New users may not have as many assets and are more focused on exploration and discovery, while professional users expect rapid iteration to keep up with the market. We have drawn some conclusions from our research, but there are also uncertain aspects. We hope to better meet these different needs through generative UI/UX.

Another challenge lies in users' trust in AI. Our product not only provides data but also analyzes this data to derive results or summaries. However, getting users to trust AI's judgments is a challenge. We believe that by providing personalized services through generative UI/UX and combining external information endorsements, we can gradually build users' trust in these results or insights.

Alex:

Regarding future product planning, we have several key directions:

The first direction is continuous personalization. We hope the product can provide a unique user experience for each user, serving different user journeys and helping them form their own exclusive development paths. Therefore, personalization is one of the core functions.

The second direction is the expansion of asset categories and dimensions. From a single token to the aggregation of multiple events, we will approach this from two directions. First, we will focus on topics, making assets and events time-sensitive and periodic, such as the US-China competition. The second is the expansion of product categories, whether mainstream or small-cap, and many on-chain products, such as RWA, providing users with more choices and discoveries through more refined granularity.

Additionally, I think one of our significant characteristics is that we are very focused on deeply understanding user intent and proactively recommending. For example, a common question users ask is, "Should I buy BTC now?" Many times, the Agent responds that it shouldn't be bought, and the topic ends there. However, what users really want to know is, "When is the right time to buy BTC?" This is also a very important function of TrueNorth, which will deeply understand the intent behind the questions, and for every question a user has asked, the Agent will provide an answer at an appropriate time in the future, ensuring that every inquiry is addressed.

These features are important measures designed around user needs, and we will continue to optimize and implement in these directions.

Crypto AI Trend: Bringing Outputs Closer to User Intent

Deep Tide TechFlow: The Crypto AI market is continuing to warm up. After experiencing the frenzy of AI memes, what do you think will be the next hot topic leading the Crypto AI market?

Willy:

I believe there are two.

The first category will be products like TrueNorth. TrueNorth does not showcase AI capabilities through a so-called Chat Bot. In the early days, some AI products allowed users to hand over their money for asset management, which I think is too direct, and I believe the current infrastructure is still not mature enough. Products like TrueNorth do not overly emphasize AI capabilities, but they do demonstrate AI's abilities well, especially in terms of User Journey. TrueNorth allows users to feel that AI can progress and be close to them.

The second point is how to define Agent or Agency, a question that both Web2 and Web3 face. I believe an Agent must possess autonomy and multi-step collaboration capabilities to fulfill complex user needs. However, this field still needs time to grow; only when the technology and ecosystem mature can we truly realize the so-called Agentic Economy, which is also TrueNorth's ultimate goal.

Alex:

Our market judgment is reflected in TrueNorth's goals, summarized in one sentence:

Bring user's intent infinitely close to the output.

This is an evolving process: starting from the user's intent, Google provides links, GPT provides answers, while Agents can push this boundary further, extending it to outcomes, even the best outcomes. This means we are expanding the capability of Discovery to that of Execution. In building all of this, there will inevitably be a process of establishing new norms, but our vision will not change. In the future, the role of humans in the entire delivery process will become less significant, while the ability for Agents to collaborate efficiently to achieve optimal results will become increasingly important. I believe this is an inevitable trend.

In this process, the current challenge is how to make users trust Agents, trust that the content they discover is real, and believe that the AI they will hand over in the future can uncover these truths, as well as trust that Agents can concretely realize these so-called outcomes.

This is a gradual process, but the development of AI technology is very rapid. The divergence between the intent of crypto users and the final outcome is not that high; most people are simply looking to achieve wealth effects or better manage their assets. So from this perspective, the entire development and landing loop of Crypto AI will be particularly fast.

This is also why, during our preparation process, we have already incorporated the development of the so-called Agentic Economy into the entire product stack. We believe that in the future, others will also provide very good capabilities, but whether they can work with us to provide better services to users at this Distribution Layer is crucial. We see ourselves as a core platform that can drive the complete loop from user intent to results, which we believe is the future direction.

Deep Tide TechFlow: The last question is about how macroeconomic factors such as crypto policies, regulatory bills, and tariffs are driving a closer connection between traditional finance and crypto finance. We are about to welcome a more prosperous on-chain financial ecosystem, but we will also face an explosion of on-chain information. Do you think this will be an important driving force for TrueNorth's better development?

Willy:

I definitely think this is a good thing.

When I was at WOO, I did a lot of work on License Strategy. Comparing two years ago to now, it can be said that the current regulatory environment for crypto is relatively lenient, especially in the United States. The Trump family is also doing a lot in this area, and they certainly have insider information regarding regulatory issues, so we can keep observing them.

Overall, the current regulatory environment for crypto is relatively lenient, with many regulatory agencies (such as the SEC, CFTC, DOJ) showing weak enforcement in related cases. After the implementation of Europe's MiCA, there has also been no significant enforcement action. This lenient regulatory environment is very favorable for the development of crypto in the next three to four years.

However, lenient regulation may attract some malicious actors who exploit regulatory gaps for bad activities. But I believe that this leniency is only temporary; in the future, tightening may occur due to exposed issues. Therefore, although the current environment is favorable, caution is still necessary, and it is not advisable to take overly bold actions.

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