Founder's Account: From Start to Abandonment, Why I'm No Longer Doing Web3 Payments

marsbitPublished on 2025-12-26Last updated on 2025-12-26

Abstract

In this candid reflection, a serial entrepreneur shares their decision to step away from Web3 payment ventures after six months of deep immersion. Initially drawn by the promise of faster, more transparent, and globally efficient settlements—especially for cross-border and remote work scenarios—the founder quickly realized that the industry’s core challenges aren’t product-based but structural. Through on-the-ground research in places like Yiwu, Mexico, and Shuibei, they observed that real-world adoption of Web3 payments remains fragmented, relationship-dependent, and far from the scalable, product-driven opportunity often portrayed. The critical barrier? Dependence on banking relationships, compliance, licensing, risk management, and regulatory navigation—areas where small, agile teams lack the resources and long-term leverage. The author emphasizes that many seemingly profitable payment operations actually profit from risk tolerance, not operational excellence, and that sustainability hinges on resilience to regulatory and financial shocks. While still believing in Web3 payment’s long-term potential—especially as a back-end upgrade for global treasury management—they concluded that the sector demands deep industry assets, patience, and risk capital ill-suited to their team’s strengths. Instead, they plan to focus on the next layer: helping users navigate on-chain asset management and risk-aware investing, turning payment flows into sustainable value. This isn’t a rejecti...

Over the past six months, I transitioned from being an observer of Web3 to delving deep into the payments industry. And now, I've chosen to stop and no longer continue with Web3 payments.

This isn't a retreat after failure, but rather a judgment adjustment made after truly stepping into the arena. During these six months, I visited Yiwu, Shuibei, Putian, and even Mexico, exploring the most talked-about places in reports to see how payments are actually made. I also got my hands dirty—built an MVP for Web3 payments, integrated accounts, developed Web3 payment collection tools, and tried to run the imagined path from the first step to the last.

But the deeper I went, the clearer I realized one thing: this isn't an industry where "making a good product guarantees victory." Payments aren't about features; they're about banking relationships, licenses, capital efficiency, and long-term risk management capabilities.

Many seemingly "profitable" payment businesses aren't actually earning ability premiums but risk premiums—they just haven't encountered issues yet. What truly determines how far a payment company can go isn't how much money it has made, but whether it can withstand and survive before risks become apparent.

This article isn't meant to negate the industry but to remove the filters, lay out the real structure, and leave behind some sober judgments for those who come after. (A few weeks ago, I also recorded a podcast with former Kun Global VP Robert, Nayuta Capital CEO, and former Didi Financial CEO Alex, discussing the same issues.)

1. Why Did I Enter Web3 Payments?

As a serial entrepreneur, I ended a multi-year startup project last year. During the company's closure, I also allowed myself some downtime, returning to a more "cleared" position to seriously consider where to focus my energy next.

Six months ago, a friend invited me to Hong Kong to explore Web3 payment-related entrepreneurship. At the time, I wasn't very familiar with Web3 itself and had little understanding of the payments industry. But from a macro perspective, it was clearly a large-scale industry still on an upward trajectory, and there was potential synergy between Web3 and AI.

In previous entrepreneurial ventures, we had handled cross-border business and built platforms and software for remote work. Through these practices, I repeatedly encountered the same reality: business can go global quickly, but the flow of funds always lags. Slow settlements, fragmented paths, opaque costs, and uncontrollable payment terms—these issues might be manageable with experience and patience when the scale is small, but once the business scales, they aren't solved by "management capabilities"; they only get magnified. Money doesn't flow as freely as information, which itself is an invisible cap for many global businesses.

It was against this backdrop that when I began to systematically understand the practical use of Web3 payments in clearing and settlement, it presented not an abstract technical narrative but a solution that logically addressed these pain points directly: faster settlement speeds, higher transparency, and near-24/7 clearing capabilities.

In my judgment at the time, this seemed like a direction that could solve real problems and was Day 1 Global—I didn't enter because of Web3 itself, but because in the specific context of payments, it seemed to offer a superior structure—at least logically, it looked capable of leveraging those long-existing yet often ignored frictions.

But looking back now, I've also come to realize that, like many others, I assumed a premise that was later constantly challenged by reality: as long as clearing and settlement efficiency is high enough, payments would naturally migrate on-chain. It was even simplified into an intuition—payments are just about matching transactions; as long as the process works, you can "handcraft" cash flow.

Given my lack of understanding of Web3 and the payments industry, I decided to first spend three months truly immersing myself in the industry, understanding its structure, and then deciding what to do and from what position.

2. What Payments Really Compete On Is Never the Product

When I arrived in Hong Kong, the initial idea wasn't complicated. The starting thought was simple: leverage some existing resources and relationships from friends, start with OTC or relatively simple payment scenarios, get cash flow running, and then determine the next steps based on real needs.

I wasn't here to do studies or observe long-term; I wanted to see—was it possible to first build something that works and then calibrate the direction based on real business?

But soon, the external environment accelerated significantly. In May, the U.S. passed the GENIUS Act, and the entire industry was almost instantly ignited. Capital, projects, and entrepreneurs flooded in rapidly. Web3 payments transformed from a relatively niche infrastructure topic into a frequently discussed "new opportunity." From the outside, this was a positive; but for a startup team just getting started, this sudden buzz wasn't necessarily a good thing.

The more mixed, noisy, and consensus-driven the moment, the easier it is to掩盖 real issues. Internet giants, financial institutions, banks, traditional Web2 payment companies, and Web3 native teams entered the scene one after another. Everyone talked about opportunities, but few discussed the structure. I felt it was even more crucial to dive into the front lines and truly understand this industry.

1. The "Buzz" in Reports and What You See on the Ground Are Not the Same

After truly running on the ground, the first thing I did wasn't to optimize the product plan but to see: who is actually using Web3 payments? Why? And where? I first went to Yiwu, often cited in reports.

In many studies and shares, Yiwu is frequently held up as a representative sample of "Web3 payments already being scaled." But after actually visiting, I saw a different picture. Stablecoins do exist, but they are more sporadic, relationship-driven, and used behind the scenes.

They haven't become a standardized, productized, replicable settlement method as described in reports. Many transactions aren't based on "optimal efficiency." I later visited Shuibei, Putian, and Mexico, and also learned about penetration rates in places like Africa and Argentina; the situation wasn't fundamentally different.

Web3 payments do exist, but they are far from forming a stable, scalable main path. More often, they are just a "patch" embedded within the existing system. The real penetration rate doesn't match the heat felt in reports, communities, and discussions.

But it was during these exchanges that I gradually shifted my perspective from "can we build a product" to the industry structure itself. I began to realize that the incremental market for stablecoins likely isn't within the "crypto circle" but in those already existing Web2 business scenarios slowed down by traditional clearing and settlement systems.

This isn't a narrative migration but more like a slowly unfolding fintech upgrade. At the same time, questions emerged: if real usage is so fragmented, is the productization path even solid?

2. When We Actually Started Building Applications, All Problems Pointed to the Same Place: Channels

From July to September, while continuing field research, I began systematically engaging potential clients. HR companies, insurance, tourism, MCN agencies, service trade, cross-border businesses, gaming companies... the needs varied, but the core issue was highly consistent: money should flow faster, cheaper, and more stably.

Payroll, task settlements, B2B payments—these scenarios are logically very suitable for stablecoins. Initially, we also thought the application layer was a viable entry point. But soon, an unavoidable premise emerged: you must have stable, compliant, sustainable fiat ⇄ crypto channels.

We started integrating with several service providers that seemed good on the market, but the actual experience showed that it's hard to say any channel is "long-term reliable." To meet business needs, we even tried to build our own channels, but upon actually attempting it, we realized: this isn't a product problem; it's an infrastructure problem.

Banking relationships, licensing structure, KYB/KYC compliance, risk control capabilities, quota management, regulatory communication... the entire channel layer heavily relies on long-accumulated credit, experience, and capital. These aren't capabilities a small internet-background team can补齐 in the short term.

It was here that I truly realized for the first time: payments aren't an industry where "making a good product guarantees victory."

3. You Think You're Making Money, But You're Actually Eating Risk Premiums

During this process, one statement deeply触动 me: payments aren't about how much money you make, but how much money you can spend. Many seemingly "successful" Web3 payment paths aren't本质上 ability premiums but risk premiums.

The more dangerous part is: many don't know what risks they are承担, or where the risks specifically lie.

  • Is it the compliance issue of the trading counterparty?

  • Is it the mismatch in fund pool structure?

  • Is it the lag in risk control rules?

  • Or is it the gray area of regulatory interpretation?

If a business's viability is based on "nothing has happened yet," then it's not a structure that can be安心 scaled.

4. The Essence of Payments Is a "Water Flow" Business.

Slowly, I began to understand payments from a simpler perspective. The essence of payments is actually a "water flow" business. Whoever controls the waterway makes money; the greater the flow from the tap, the greater the earning potential. If water passes by your door, you can take a cut—it sounds like an almost "passive income" business.

But precisely because of this, payments are never a simple business. Not every company "by the water" can make money. The payment companies that make money long-term are often those with extremely strong control over water volume, pressure,回流, pollution, and leakage.

How much water you can handle depends on how much risk you can bear; how long you can keep the water flowing depends on your tolerance within compliance, risk control, and regulatory environments. Many paths that seem to have "great water flow" are本质上 just暂时没人来关闸. It was during this process that I developed a more complex, yet more real,敬畏 for the payments industry.

Its charm isn't in who made another new product, but in—it very honestly tells you, in the real world, which industries are actually making money and which are just making noise. Standing by the waterway, you can see where the real money is flowing, not who is constantly PRing outside.

5. Payments Are a Good Business, But Not One We Can Excel At

Reaching this point, I had to face a judgment that isn't easy for entrepreneurs but is very important. Payments are a good business, but they aren't the type of business we can excel at. This isn't a negation of the direction but a respect for resource endowment.

What the payments industry truly needs isn't rapid trial-and-error, iterative product capabilities, but long-term stable banking relationships, sustainable compliance systems, mature risk control capabilities, and credit accumulated through repeated博弈 in regulatory environments. These capabilities aren't "something you can拼出来," nor can they be补齐 in the short term through smarts or hard work. They are more like industry-level assets, often only formed gradually within specific types of teams and specific time windows.

After truly viewing payments as a "water flow business," I also became more clearly aware: what determines whether a team can stand by the waterway long-term isn't whether you want to, but whether you have that pressure-bearing structure in hand.

Under this premise, continuing to push was no longer a rational investment for us but more like using time and luck to fight against an industry structure that isn't on our side. This issue ultimately led me to the next choice.

3. I Still Believe in Payments, Just See Its True Battlefield Clearly

Let me be clear: I chose to stop doing Web3 payments not because I'm bearish on the industry. On the contrary, over the past six months, I've become increasingly convinced: the structural opportunities in the payments industry are still very large.

But when I truly拆开 these opportunities, I also gradually realized something more残酷 but equally important—payments are a business with longer time cycles, heavier structures, and higher resource requirements. The opportunities are real, but they aren't evenly distributed at the feet of every startup.

1. The Increment in Payments Isn't a Short-Term红利, But a Long-Term Rebuild

If you zoom out, cross-border payments aren't a question of "whether they can explode" but a ongoing infrastructure rebuilding process. The continued溢出 of global supply chains, growth in cross-border service trade, and acceleration of distributed team collaboration are all放大 the friction of traditional clearing and settlement systems.

In this process, the value of Web3 payments isn't体现在 "cheaper" but in three things:

  • Significant improvement in turnover efficiency

  • Transparency of clearing paths

  • Unified settlement capability across currency zones and regulatory zones

This is a structural improvement, not a tactical optimization. And precisely because of this, it naturally belongs to a cross-decade-scale project, not a market that can be leveraged by product sprints.

2. What's Truly Difficult Isn't "Collecting Money," But the Fund System Within the Marketplace

After接触 enough real scenarios on the front lines, I became increasingly clear: the difficulty of payments no longer lies in "collecting money" itself. Especially in Marketplace scenarios, payments are never an independent component but an entire ecosystem-level fund system.

Buyers, sellers, platforms, logistics, streamers, riders, taxes, frozen accounts, subsidy accounts—all roles are interconnected in the same fund chain. In such a system, what truly determines the threshold isn't the payment interface but:

  • Escrow and freezing mechanisms

  • Split accounting and payment term design

  • Risk control and anti-fraud capabilities

  • Cross-regional compliance and regulatory obligations

Once such systems stabilize, they naturally have room to extend into financial capabilities; but同样, they also place extremely high demands on the team's capital strength, risk control system, and long-term patience.

3. Web3 Payments: Not a Front-Office Revolution, But a Back-Office Upgrade

One thing this half-year made me increasingly sure of: the true scaling of Web3 payments won't happen on the user side.

It won't explode because users start actively using wallets, but because corporate back offices start upgrading their Treasury, reconciliation systems, cross-border settlement paths, and fund pool management methods.

In other words, the mainstream path will likely be: front office remains Web2, back office gets Web3. This is a "hidden" upgrade. And this upgrade恰恰 means it relies more on system stability, compliance certainty, and long-term operational capability, not market education.

The real爆发点 also isn't in the most mature markets. If we look geographically, the increment is同样 not balanced.

Asia-Pacific is already a relatively mature market. The real structural growth is more likely to occur in regions like Latin America, Africa, the Middle East, and South Asia:

  • Payment systems are severely fragmented

  • High costs, complex paths

  • Users and merchants have stronger migration willingness

But the other side of these markets is: high localization, strong regulatory differences, strong operational requirements. They need not "cleverness" but long-term深耕.

When I placed these opportunities together, I had to face a clear conclusion: payments are indeed a good business, but the resource endowment they require—

  • Long-term stable banking relationships

  • Mature, sustainable compliance systems

  • Risk control capabilities that withstand stress tests

  • Credit accumulated through repeated博弈 in regulatory environments

—are not within our team's current capability boundaries. This isn't a negation of the direction but a respect for reality. The battlefield for payments still exists, just not under our feet. It was under this judgment that I ultimately chose to stop and rethink: if not standing by the waterway, where else can I stand to continue participating in this ongoing structural change?

4. After I Decided to Stop Doing Payments

When I truly made the decision to stop doing Web3 payments, there wasn't a strong sense of "ending." It felt more like an exploration had finally reached a point where it should stop. I haven't left the industry. I've just shifted from trying to stand on the waterway to collect water, to standing beside the waterway,重新 observing how the water flows and where it ultimately goes.

In the process of repeatedly拆解 the payment structure, one judgment became increasingly clear: payments solve the flow problem—whether money can move and how fast; but what truly determines long-term value is never the flow itself, but—where the money stops after flowing, and how it is managed.

If we look back at the development path of China's fintech over the past twenty years, this logic is actually very clear. Payments are just the entrance; balances are the transfer station; what truly formed scale and barriers were the subsequent fund management and asset allocation systems. Yu'ebao, Tian Tian Fund, Tian Hong didn't succeed because they "did payments better," but because they stood behind payments,承接 and reorganizing the already large-scale fund flow.

Payments are the doorway, not the destination. Placing this structure back into the Web3 world, I see similar issues gradually emerging. The chain already has大量 not激进 but sufficiently robust asset forms—lending, short-duration RWA, neutral strategies,组合化 products... they are more like on-chain money market funds, short-term bond funds, and stable allocation tools. The real problem isn't "whether there are assets" but: most people don't know what risks they are facing and lack an entrance to understand, compare, and judge these assets.

As more and more funds start flowing on-chain, this issue will only become more prominent. It was at this node that I began to realize: if I don't continue with payments, I can still stay within this change in another way. Not by competing for the waterway, but by clarifying the structure of the water flow, laying out the boundaries and risks, letting people know which places are worth staying and which require extra caution. This is also the direction my team and I will continue to explore next.

This article isn't meant to draw conclusions about Web3 payments or advise anyone to enter or exit, it's just trying to clearly explain why I chose to stop doing payments. I hope it can serve as a reference for those who come after, perhaps helping them avoid some detours.

Related Questions

QWhat was the author's initial motivation for entering the Web3 payments space?

AThe author, a serial entrepreneur, was drawn to Web3 payments not because of Web3 itself, but because it appeared to offer a structurally superior solution to the long-standing frictions in global business, such as slow settlement, fragmented paths, opaque costs, and unpredictable payment cycles. It seemed like a 'Day 1 Global' opportunity that could solve real problems with faster settlement, higher transparency, and near-24/7 clearing capabilities.

QWhat key realization did the author have after conducting on-the-ground research in places like Yiwu and Mexico?

AThe author realized that the reality of Web3 payments on the ground was fragmented, relationship-driven, and used as a 'patch' within existing systems, rather than the standardized, productized, and scalable solution often portrayed in reports. The actual penetration rate did not match the perceived hype, indicating it had not yet formed a stable, scalable mainstream path.

QAccording to the author, what are the true core competencies required to succeed in the payments industry, rather than just product features?

AThe author states that payments are not an industry where 'building a better product wins.' The true core competencies are long-term banking relationships, licenses and compliance, capital efficiency, and long-term risk management capabilities. It is a 'water flow' business where success depends on controlling the volume, pressure, and risks of the capital flow, not just the product interface.

QWhat did the author mean by stating that many seemingly profitable payment businesses are actually earning 'risk premium'?

AThe author meant that the profitability of many Web3 payment operations is not based on a superior ability or service (ability premium), but on the fact that they have not yet encountered a major risk event. Their viability is built on the premise of 'not having had an accident yet,' meaning they are profiting from taking on risks that are not fully understood or priced in, rather than from a sustainable and secure business model.

QAfter deciding to stop building Web3 payment products, what new direction does the author see for participating in the ecosystem?

AThe author shifted focus from trying to control the 'water flow' (payments) to helping people understand the structure of that flow. The new direction involves creating an entry point for users to understand, compare, and judge the various on-chain assets (e.g., lending, short-duration RWA, neutral strategies) that emerge as capital moves on-chain. The goal is to provide clarity on where funds can be parked safely and what risks are involved, essentially acting as a guide for capital management after the payment is made.

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This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

566 Total ViewsPublished 2025.01.14Updated 2025.01.14

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