xBubble How to Break the Game VC Remarked OPC Economy
One Person CompanyIT IS MOVING FROM AN EYE-OPENING CONCEPT OF ENTREPRENEURSHIP TO ONE OF THE NEW MARKETS OF GREATEST INTEREST TO THE AI INDUSTRY。
A FEW YEARS AGO, THE "ONE MAKES A BILLION DOLLARS COMPANY" WAS A PIECE OF SILICON VALLEY TABLE. NOW, THE FOUNDERS OF THE WORLD'S TOP AI ARE SERIOUSLY TALKING ABOUT THIS:
Sam Altman had determined that the AI era might have seen the emergence of a company that had not existed in the past: without a single employee, a $1 billion valuation would be achieved by a single founder。
Dario Amodei, founder of Anthropic, in his speech at the Claude Development Conference, became more radical, “the first one-man billion-dollar company will appear around 2026”。
THE REAL CORE SIGNAL IS NOT THE BILLION DOLLAR FIGURE, BUT THE SILICON VALLEY IS STARTING TO REDEFINE THE COMPANY. IN THE PAST FEW YEARS, AI HAS ASKED WHETHER IT CAN MAKE PROGRAMMERS, DESIGNERS, AND OPERATIONS MORE EFFICIENT; NOW IT'S ASKED WHETHER IT CAN LET A MAN OR A VERY SMALL TEAM OUT OF A CLOSED BUSINESSI don't know。
Capital is already priced in code: Refrit completed $400 million in financing in March 2026, valued at $9 billion, hoping that non-developers would also turn ideas into software; and Loveable completed $330 million in round B in December 2025, valued at $6.6 billion, with narratives serving 99 per cent of those with ideas and no technical capacity. They do not necessarily use the word OPC, but do the same thing so that those who feel that a self-building technical team is not worth it can turn their ideas into operational business。
THE OPC IN THIS PAPER IS NOT JUST A NARROW “ONE-PERSON COMPANY”. IT REFERS MORE BROADLY TO SMALL BUSINESS NODES: INDIVIDUAL CREATORS, SMALL BUSINESSES, SMALL AND MEDIUM-SIZED ENTERPRISES, WHICH ALREADY KNOW WHAT TO SELL AND TO WHOM TO SELL, AND ORGANIZATIONS THAT DO NOT NEED A FULL-FLEDGED TECHNICAL OPERATIONS TEAM。
I. OPC IS BECOMING THE NEW LEAD FOR AI ENTREPRENEURSHIP
IN THE PAST FEW YEARS, THE MOST COMMON QUESTION FOR AI TO START A BUSINESS IS: CAN AI MAKE EXISTING EMPLOYEES MORE EFFICIENT
NOW, THE MARKET IS ASKING ANOTHER MORE IMPORTANT QUESTION: CAN AI LET A BUSINESS BE FORMED WITH FEWER PEOPLE
These two issues correspond to different markets. The former increases organized output, while the latter allows small businesses that could not afford fixed costs to enter the market。
FOR OPC, AI'S VALUE IS NOT JUST TO SAVE WORKING HOURS, BUT TO COST OFF OTHERWISE UNECONOMICAL BUSINESSI don't know. Websites and sales materials can be generated at lower cost and some duplicate processes can be gradually automated. When these costs fall simultaneously, the starting point of a company changes. The operator is no longer required to demonstrate that the business is sufficient to support a team to qualify for digital capability. He could do it at a lower cost before deciding whether to expand on the basis of real income。
AT THE SAME TIME, WITH THE LOSS OF JOBS DURING THE AI ERA, AN INCREASING NUMBER OF FORMER EMPLOYEES WITH INDUSTRY EXPERIENCE ARE LOOKING FOR INCOME ALTERNATIVES TO THE TRADITIONAL “GETTING A BIG COMPANY TO WORK”I DON'T KNOW. AI PROVIDES PRECISELY THE LEVEL OF IMPLEMENTATION THAT TRANSFORMS THESE PERSONAL RESOURCES INTO INDEPENDENT OPERATIONS。
Thus, OPC and AI business builder are not short-term concepts, but new markets that AI naturally creates when business costs are reduced. AI has changed not only in terms of staff efficiency but also in terms of how many people it takes to set up a business。
II. THE REPIT AND LOVable VERIFICATION: THE IA CODING NEEDS OF NON- TECHNOLOGIES ARE REAL
The establishment of a market depends ultimately on whether the user and capital have paid for it。
Refrit and Loveable provided the most direct verification. As noted at the outset, they have received nearly billions of valuations and a large number of well-known Silicon Valley institutions in recent financing。
THEY OBTAIN HIGH VALUATIONS NOT ONLY BECAUSE AI ALLOWS PROGRAMMERS TO WRITE CODES FASTER, BUT ALSO BECAUSE SOFTWARE DEVELOPMENT CAPABILITIES ARE MOVING FROM THE EXCLUSIVE ABILITY OF ENGINEERS TO SERVICES THAT ORDINARY USERS CAN CALL DIRECTLY. AN EDUCATED PERSON NO LONGER NEEDS TO RECRUIT A DEVELOPMENT TEAM TO HAVE THE OPPORTUNITY TO TURN DEMAND INTO A WEBSITE OR APPLICATION. PREVIOUSLY SEPARATED DEMAND PROPONENTS, USERS AND APPLICATION CREATORS BEGAN TO OVERLAP WITH THE SAME INDIVIDUAL OR SMALL TEAM。
There is a much larger market behind this than the developers ' tools: a large number of users need digital tools that fit their own business, without the time and effort to learn deeply about programming and without the value of forming technical teams for each idea。
Replit and Lovable have proven that such demand is not theoretical. AI coding is moving from being an efficiency tool for developers to a way to construct new applications for a wider audience。
But they're mainly verifying the first half of the story: non-technical users are indeed willing to build applications directly。
IT'S THE SECOND HALF OF THE STORY THAT REALLY DECIDES WHETHER OR NOT AN OPC CAN APPEAR ON A LARGE SCALE: THESE APPLICATIONS ARE STABLE ON A CONTINUOUS BASIS AND CAN SUSTAIN REAL OPERATIONS。
III. Existing AI Coding tools, with one structural gap remaining
A large number of AI coding tools have now significantly reduced the cost of code generation, particularly “do a Demo/App social media presentation”. But when Demo is actually going to land, it still assumes that the user can manage the development processI don't know。
USERS STILL HAVE TO BREAK DOWN BUSINESS IDEAS INTO TECHNOLOGY NEEDS, JUDGE WHETHER THE RESULTS ARE REASONABLE, AND REPROCESS THEM ONLINE AND MODIFY THEM. THIS IS A NORMAL PROCESS FOR DEVELOPERS; IT IS THE MOST DIFFICULT LAYER FOR OPCS WITH A NON-TECHNICAL BACKGROUND。
AN OPERATOR MAY BE WELL AWARE OF WHAT HE SELLS AND TO WHOM, BUT NOT OF HOW A MALL SHOULD DESIGN THE ORDER STATUS OR JUDGE THE RELIABILITY OF THE BACK OFFICE AND DATABASE. AI CAN QUICKLY GENERATE PAGES IN ONE SENTENCE, BUT USERS STILL HAVE TO MAKE A LOT OF TECHNICAL JUDGEMENTS WHEN THEY NEED ACCESS TO PAY, RECORD ORDERS OR CHANGE BUSINESS RULES。
This is also the most easily overlooked distance between Demo and business。
Demo just needs to run at the demonstration. A real business is subject to constant change: commodities are updated, prices are adjusted and new demands are made by clients. As long as each change requires a new understanding of the code, a debugging environment or a search for outsourcing, so-called “low-cost entrepreneurship” is difficult to really establishI don't know。
Thus, there is a structural contradiction in the current AI coding market:
EXISTING PRODUCTS HAVE IMPROVED THE EFFICIENCY OF IT-RELATED PERSONNEL, SUCH AS DEVELOPERS ' PRODUCT MANAGERS, AND HAVE MADE IT POSSIBLE TO BUILD QUICKLY AND APPLY ONLINE, BUT THE COMPLETE REPLACEMENT HAS NOT YET BEEN FULLY ADDRESSED AND THE ZERO THRESHOLD HAS BEEN USED FOR LONG-TERM, STABLE OPERATIONS WITH AI. THEY GIVE INCREASING DEVELOPMENT CAPACITY TO USERS, WHO ARE STILL HELD ACCOUNTABLE FOR PRODUCT DEFINITION, OUTCOME ACCEPTANCE AND CONTINUOUS ITERATIVEITY。
FOR TECHNOLOGY USERS, THIS FREEDOM IS AN ADVANTAGE; FOR OPCS WITH A NON-TECHNICAL BACKGROUND, IT OFTEN IMPLIES NEW LEARNING COSTS OR ADDITIONAL MANPOWER AND OUTSOURCING COSTS。
THE NEXT PHASE OF COMPETITION ON THIS AI TRACK DOES NOT NECESSARILY INVOLVE ANYONE WHO CAN GENERATE MORE CODES, BUT WHO CAN FURTHER ENCAPSULATE THE DEVELOPMENT PROCESS, TRULY REPLACE TECHNOLOGY ALTOGETHER OR OUTSOURCE IT TO ALLOW NON-TECHNICAL USERS TO OBTAIN DIRECT BUSINESS RESULTS THAT CAN BE RUN。
IV. Entry point for xBubble: from Prompt-to-Code to SOP-to-Businness
The xBubble introduced by DAPPOS does not have a positive coding capability vis-à-vis a mature developer tool。
Its real entry point is to change the delivery unit of AI coding. The normal AI coding product primarily transforms Prompt into a code or application, while xBubble tries to turn operational objectives into an enforceable business pathI don't know。
Users no longer start with the technical architecture, but start with business issues. All he needed to do was to indicate what goods or services he intended to provide, what clients he was looking for and how he wanted the business to run. xBubble then translates this information into a specific process through SOP to complete the connection between the page, payment and order backstage。
This is the change from Prompt-to-Code to SOP-to-business。
The difference between the two is not that Prompt is shorter, but that more links requiring user judgement are organized ahead of schedule. Normal AI coding gives users a development assistant; xBubble takes on further demand dismantling and process management, allowing users to start business without learning to manage AI development。
FOR OPC, THIS CHANGE IS MORE IMPORTANT THAN SIMPLY INCREASING THE SPEED OF GENERATION。
What they lack is not a stronger code editor, but a technology implementation system that is sufficiently low-cost and can continue to be modified when it is online。
the core judgement of xBubble is that the capability of the bottom-up large model will continue to increase, but business needs will not automatically become standard. Users still need to express rules, style and outcome requirements. A truly valuable product is not just a powerful tool, but a complete alternative to technology development or outsourcing as a service that delivers results directly。
V. How xBubble translates operational objectives into operational results
the core highlight of xBubble is the SOP system and the third-party service provider network。
The SOP here is not a longer Prompt, but a structured implementation process around a specific missionI don't know. It covers models, tools and results standards and is then called by the system according to user needs. Users are responsible for explaining business objectives and xBubble for translating targets into software processes。
For example, a small businessman selling around the World Cup. He already has flows, commodities and potential customers, and what is lacking is an independent marketing system. On the face of it, he simply wanted to “do a mall page”; but when he really needed to actually get a customer and deliver, he needed more than just a display page with no big problems at first sight, but a single-style product material, a page that could complete the transaction, and an order backstage that could be kept up to date。
If common AI Coding is used, users need to supplement their requirements on a case-by-case basis and to judge whether each generation meets business needs. Using SOP, the system can first recognize this as a nearby commercial city scene and then complete the application construction along the already organized process. Users continue to determine commodity, price and sales rules, but do not have to comb the relationship between the page, order and back office。
THE SECOND CHANGE BROUGHT BY SOP IS TO SHIFT THE FOCUS FROM SINGLE GENERATION TO SUSTAINED STABILITYI don't know。
For real business, Demo was not the hardest part to produce for the first time in the AI era. What really affects the use experience is whether the system can continue to function as it continues to replace commodities, adjust prices or modify order processes. Rather than an amazing Demo, OPC needs a delivery path that can be repeated and continuously modified。
Bubble Engineering is responsible for generating and optimizing SOPs based on case and outcome criteria, and settling certified business requirements and execution patterns; Bubble Pilot is responsible for understanding current needs and calling for a more appropriate SOP. Users are faced with business portals, and model selection and mix of tools remain within the system。
In addition, xBubble addresses infrastructure issues from code to real business online through third-party service providersI don't know。
A WEBSITE IS EVENTUALLY OPERATIONAL AND USUALLY REQUIRES DOMAIN NAMES, SERVERS AND PAYMENT SERVICES. FOR NON-TECHNICAL USERS, EVEN IF AI IS ABLE TO PROVIDE AN OPERATIONAL DESCRIPTION, THE PURCHASE OF ACCOUNTS, THE CONFIGURATION OF THE ENVIRONMENT AND THE COMPLETION OF DEPLOYMENTS REMAIN A STRANGE PROCESS。
instead of locking all applications into a single hosting platform, xBubble separates software construction from infrastructure services. Users can choose a trusted third-party service provider or AI can match the appropriate service provider. Service providers are responsible for the procurement of resources, environmental configuration and deployment of applications; xBubble continues to be responsible for software generation, business processes and subsequent modifications. Different service providers can use different cloud platforms, domain name services or payment schemes, and users can also know what resources they use, by whom they are provided, and at what cost。
It is worth noting that users can pay for these infrastructure services directly using xBubble creditsOne step, rather than cumbersome registration of accounts of various infrastructure service providers, is reviewed through a variety of platforms。
(Relations between users and service providers in xBubble, source: official blog)
In this system, service providers are no longer traditional outsourcing companies, but more like “field-based service engineers” of OpenAI/Anthropics. Most of the duplicate development was done by the SOP of xBubble, while the user ' s infrastructure needs, such as those requiring manual services and external links, were performed by xBubble ' s network of service providers。
As a result, XBubble delivers no longer as a generated application, but as a more complete business start-up path: Users propose business goals, SOP completes software build, third-party service providers are deployed, and subsequent needs can continue to be modified via xBuble。
This is the whole meaning of moving from Prompt-to-Code to SOP-to-Businness。
(XBubble and Cursor, Loveable, AI coding technical comparison)
VI. WHY XBubble GETS THE CHANCE TO OSC
Demand for OPC-oriented AI tools is growing rapidly, and direct build-up applications by non-technical users have become a clear thread of interest for Silicon Valley products and capital. The opportunity for xBubble is to further move the "building application" to "starting business" so as to accurately satisfy an existing group of goods, services or customers without the need for an OPC with a technical team。
First of all, the target of xBubble's OPC is clear and not smallI don't know。
the xBubble is not targeting the “bloat one-man company” that is the most visible in the media, but rather a broader and more realistic kind of business. Points: THEY ALREADY HAVE CUSTOMER RELATIONSHIPS, DISTRIBUTION CHANNELS OR STABLE GOODS AND SERVICES THAT CAN SUSTAIN BUSINESS BY UNDERSTANDING THE SUB-MARKET, BUT TECHNOLOGY IS NOT THEIR CORE COMPETENCE. FOR THIS TYPE OF OPC, THE QUESTION IS USUALLY NOT “WHAT TO SELL, TO WHOM”, BUT HOW TO CONVERT EXISTING COMMERCIAL RESOURCES INTO ON-LINE OPERATIONS AT SUFFICIENTLY LOW COST。
This is the area where xBubble's SOP model is best suited to work and has the most access to market shares。
Second, xBubble's SOP has the opportunity to build up a capability independent of the bottom model, making the user's business start-up experience more friendly, mature and stableI don't know。
The Agent workflow generated by a single code can easily be smoothed with the upgrading of the underlying model; however, a process that is re-adjusted by real business encompasses not only codes but also needs understanding and outcome standards. The more cases are handled, the more the SOP has the opportunity to cover common problems in the same type of business, and the resulting reduced costs of subsequent delivery。
the network of XBubble service providers allows this accumulation to be distributed. Many users of xBubble have chosen to subscribe to xBubble to start their business after trusting a service provider who understands their industry and can demonstrate similar mature business cases. Service providers bring client needs into the system and mature SOPs to more similar clients。
AS A RESULT, PRODUCT USE AND MARKET EXPANSION CAN BECOME CIRCULAR: MORE BUSINESS BRINGS MORE CASES, MORE MATURE SOP REDUCES DELIVERY COSTS, AND LOWER DELIVERY COSTS MAKE MORE SMALL BUSINESSES WORTH STARTING。
Finally, XBubble-supported crypto seed payments are more in line with the actual needs of some of the OPCs: small-scale operators for global users, digital services or community transactionsI don't know。
For them, the real challenge is to access the collection, order and settlement system at a lower cost on an hourly basis. Wallet login, stable currency payments and chain reconciliations can be directly sealed into business processes, reducing the complexity of cross-regional payment access. xBubble further combines these capabilities with the delivery of the mall, backstage and SOP, so that the operator will be able to verify a crypto-native or cross-border operation more quickly without having to understand the Web3 technology in depth。
Such capabilities do not replace all traditional means of payment, but they cover subdivision needs that are not easily met by universal AI coding and standardized station tools and therefore constitute another layer of differential opportunities for xBubble in the OPC market。
Of course, xBubble cannot create goods and customers for users, nor will it replace the professional teams required by complex enterprise systems. It really needs to prove whether SOP can be used steadily between different users, whether it can be continually modified after business goes online and whether it can significantly improve delivery efficiency with the intervention of service providers。
If these conditions are established, xBubble is not just an AI coding product that is easier to use, but may become an OPC business start-up system, or even an OPC-era business infrastructure。
Summary
The trend created by the OPC economy, particularly by the participation of non-technical users in software, has become the main line of validation by both real use and capital input. At the same time, products such as Reflit and Loveable also shed greater light on the market ' s bottom gaps: applications can be constructed quickly, but operations still need to be organized and run on a continuous basis。
the opportunity of xBubble comes from different solutions to this gap. It does not require the OPC to learn the full AI Coding process first, but rather to translate operational objectives into implementation paths through the SOP and then replace those parts that are temporarily not fully automated by service providers。
From this point of view, xBubble does not need to prove that he can write codes better than all AI Coding products. It needs to prove that SOP-to-Businness is more valuable than a powerful blank input box before a small business gets its first income。
SILICON VALLEY HAS PROVEN THAT AI IS HANDING OVER SOFTWARE CREATIVITY TO MORE PEOPLE。
what xBubble wants to prove is whether this ability will make it possible for more people without a technical team to actually start business。
