ExchangePrediction Market

In the Web3 infrastructure sector, matching speed and trading depth are increasingly becoming “entry requirements” rather than competitive moats. As the industry struggles with liquidity fragmentation and user churn, full-stack infrastructure provider SoonTech presents a contrarian insight that challenges conventional wisdom:
The root cause of most platform failures is not inefficient execution, but excessively high user decision-making costs.
Recently, SoonTech CMO Kathryn joined a live AMA session hosted by Feixiaohao, where she unpacked SoonTech’s modular infrastructure approach to reshaping the crypto trading ecosystem. This session covered liquidity traps, the emerging RWA narrative, and the future competitive logic of exchange platforms.
Below is the full transcript of key insights.
Q. There are many technical service providers in the exchange and DeFi space, yet despite the growing number of platforms, only a few survive. How does SoonTech view this issue, and what makes your approach different?
A. We have a clear internal view: most platforms start with the wrong optimization focus.
The industry is primarily optimizing liquidity, matching speed, and trading depth. However, these belong to execution-layer competition—essentially making trades happen faster.
The real problem, however, is not execution but decision-making.
Information is not scarce; in fact, it is overwhelming. The issue is that it is fragmented and unstructured. Users must filter, interpret, and evaluate it themselves, which creates high cognitive cost and frequent decision errors.
So the issue is not that users lack decision-making ability—it is that platforms fail to reduce decision-making costs.
SoonTech’s approach is to reorganize information into more understandable, comparable, and actionable structures. We do not make decisions for users; we make it easier for users to form decisions.
From this perspective, a platform’s long-term value lies not only in facilitating trades, but in how effectively it structures information and lowers the barrier to decision-making.
Q. Many teams can now launch platforms within weeks, but after launch they quickly lose traction. Where does the problem come from?
A. “Being able to launch” and “being able to operate sustainably” are two completely different things.
Many platforms experience a clear disconnect after launch: the system is complete and liquidity may be integrated, but users do not know what to do or why they should participate.
On the surface, it looks like a user acquisition problem. In reality, it is not about traffic or features—it is about the lack of structured, actionable decision pathways.
Most platforms provide raw data: prices, order depth, candlesticks, and analytics. But all of this requires users to interpret and synthesize it independently, which creates high cognitive friction.
The problem is not insufficient information, but the lack of transformation into actionable structure.
Our design approach is inverted:
we first define decision scenarios, then design trading logic, liquidity mechanisms, and incentive systems around them.
In other words, we are not adding features—we are reducing the cost of decision-making.
A platform only begins to function meaningfully when users clearly understand what they can do and why they should do it.
Ultimately, a platform does not “run” because the system matches trades, but because users continuously make decisions.
Q. Many teams face cold-start issues: order books remain thin and users do not trade. How do you address this problem?
A. A common misconception is treating liquidity as a solution.
Liquidity itself does not create value—it amplifies existing behavior.
If users do not know how to act, liquidity only amplifies confusion rather than growth.
Our approach addresses three layers simultaneously:
Once users can form basic judgment, the market begins to self-operate.
As we often say:
Liquidity does not solve bad decisions—it amplifies them. The same is true for good decisions.
Q. Are RWA and prediction markets real demand or just a temporary narrative?
A. We see this not as a trend, but as a structural shift.
In traditional markets, most information is non-tradable—it exists only as analysis or reference.
RWA and prediction markets change this fundamentally by turning information, opinions, and expectations into priceable and tradable signals.
For enterprises, the real value is not more data, but quantifiable probability-based judgment.
This is why we build infrastructure not only to expand asset classes, but to enhance how enterprises process information and support decision-making.
Over time, this capability will become a key incremental layer in enterprise financial systems.
When information becomes tradable, decision-making gains real value.
Q. With increasing regulatory pressure, how does SoonTech approach security and compliance?
A. Today, the main concern is no longer whether a system can be built, but whether it can operate safely after launch.
In financial systems, security and compliance are not post-launch add-ons—they must be embedded at the architectural level.
From the beginning, we design systems with:
The goal is not zero risk, but controllable and containable risk.
True security is not about eliminating all failures, but ensuring they can be isolated and managed when they occur.
Q. Where will future exchange platforms differentiate? Should companies build from scratch or adopt white-label/modular solutions?
A. Over the long term, competition will not happen at the trading layer.
Liquidity will become infrastructure, matching efficiency will converge, and functional differences will diminish.
The real differentiation will lie in:
How effectively a platform structures information and influences user decision-making.
The winners will be those who enable users to understand markets faster, evaluate risk more clearly, and act with greater confidence.
From this perspective, technology selection itself becomes a strategic decision.
Building from scratch solves “existence,” but comes with long cycles and high infrastructure costs.
Modular and white-label approaches are not just about speed—they allow companies to focus resources on differentiation: information architecture and decision experience design.
Ultimately, platforms will not compete on system speed, but on whether their users truly understand what they are doing.
Infrastructure should not be a burden—it should be a growth multiplier.
Beyond a high-performance, rapidly deployable compliant system, SoonTech delivers a decision framework that empowers business growth. Through modular white-label solutions, we help builders move away from infrastructure complexity and focus on designing differentiated user decision pathways.
Be the first to get the latest updates
By submitting this form, you agree to receive marketing information via the email address you provided. Your personal data will be processed in accordance with the Privacy Statement.