English translation of the Chinese post originally published 2026-07-08. Translated 2026-11-05 with AI assistance. Historical figures and claims have not been updated or independently verified. 中文原文
Full text — English translation
Verification notes (2026-10-29):
1. The post does not identify the author or original source. “I” in the text refers to the original author, not Robin. #慢創業 is a post tag, not an author credit. This article presents personal experience and views, without data that can be checked.
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Becoming a Technology Entrepreneur: A Shift in Identity and Mindset
Research and entrepreneurship differ in at least two ways.
First, research is like exploring a route. Much of the process is free exploration, continually trying new objectives. Entrepreneurship, by contrast, must create a complete cycle of value and build an integrated system. It is more like building a road: the direction is known, and after considering cost, efficiency, quality, and other factors, you must complete construction on schedule and to a high standard, then maintain the road over the long term.
Second, research involves the free collaboration of humanity’s knowledge and intelligence. Even if I do not possess certain technologies myself, I can add value on top of them. Any recognized scientific knowledge or technological achievement can serve as a foundation and premise for research. Entrepreneurship, however, requires building a system of your own. External support and collaboration are inevitable, but you still have to build the core elements yourself from scratch.
In other words, research needs clever insights; entrepreneurship cannot escape immense hard work. Technology may be their common ground, but the actual experiences differ greatly.
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Many technologies are so new and so far ahead of their time that finding a suitable application is a headache. Redefining the core technology—and even the entrepreneur’s own core skills—is precisely the painful, deeply affecting path of growth that research-based entrepreneurs must travel.
Many needs that research-based entrepreneurs imagine do not yet exist at this stage. In some applications, other technologies can solve the same problem, perhaps more slowly but far more cheaply. In others, demand exists, but not at a level that makes your technological advantage stand out: it is overkill. Finally, the market may be more interested in another technology trend, creating a mismatch between the timing of the startup and the technology’s readiness for industrial adoption.
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Find Real Problems
Frontier technologies often determine their own development paths in distinctive ways, rather than following the applications first imagined for them. The real world’s “nails” are not factory-standardized. How could business opportunities be standardized? If everyone can see and understand something, can it still be called an opportunity? Set aside some of your pride in your “hammer” and look for real market problems first.
What is a real problem? Is proposing a different sequence from an existing solution—others do A, then B, then C, while you do C, then A, then B—focusing on a real problem? No. That is looking for differences, not problems. It is the “novel contribution” claimed in many papers, not genuine innovation. Being different does not mean being better. If efficiency has not improved, costs have not fallen, and hidden risks remain, why would customers buy what you offer?
A business faces just one real problem: genuine demand. It comes from the market, not the laboratory. Research-based entrepreneurs often imagine an “ultimate scenario” in which a single solution resolves many major industry problems. But once you get involved, you realize that objective reasons have kept those problems unsolved. Complex networks of systems are intertwined, and solutions must be developed step by step, disentangling one layer at a time. People without manufacturing experience, for example, like terms such as “intelligent systems,” imagining a definitive, once-and-for-all solution. Doing the work reveals that data sources are a major problem, as is data maintenance. Ensuring the accuracy of incoming data alone requires enormous expenditure; a piece of intelligent software cannot easily do it. Good solutions to many real problems involve not just technology but system optimization. As an entrepreneur, your chance of survival lies in making your technology part of that system.
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Learn to Say No and Stay True to Your Original Purpose
Why would a research-based startup turn down large projects? Large projects are large for a reason. People spending substantial sums expect you to solve all their problems. You may become an automation solutions contractor, trapped in delivering projects for one specialized industry after another. Every customer and production line has unique needs. Once you enter the solutions business, you must understand all kinds of nonstandard production-line designs, send staff on-site when problems arise, deal frequently with customers, and maintain relationships. Long periods at customers’ factories absorb time and energy. Unplanned work proliferates, and you need more staff. Taken together, profits may actually be lower, your core competitive advantage less distinct, and you may even compete directly with your customers.
Many entrepreneurs are fortunate: honors and awards arrive soon after the company is founded. The attention brings a flood of opportunities. The company may not yet have a product operating at scale, but those honors and awards have already borrowed against its future. Overwhelming good fortune can arrive unexpectedly, without the entrepreneur being ready to handle it. Attracted by the honors, many large companies want to know what the technology can do and where it could go.
When large companies extend invitations, research-based entrepreneurs must not find themselves unable to refuse any of them. Too many opportunities make people greedy. Learn to choose, focus, and say no courageously. Devote more attention to a few customers—focus on one out of ten—and you may reach self-sustaining cash generation and profitability sooner, accelerating the company’s growth.
Not all money is worth earning at the expense of your original purpose. After a detour, return to that purpose. Abandoning your core technology to chase sales and try to displace upstream and downstream partners, turning them from partners into competitors, costs more than it gains. Instead, build long-term relationships with a few high-quality companies, explore potential applications, and grow together. Some of those large companies may even become shareholders. This is how research-based businesses can endure.
Research-based entrepreneurship requires taking the commercial path one solid step at a time until you reach the destination. Learn to adapt rather than treating technology as supreme. “Nails” are found, and “hammers” are refined; neither is merely imagined.
Learning to turn down apparently excellent customers is painful for a CEO. Say no to some seemingly attractive opportunities. Many things will need to be done sooner or later, but doing them at the wrong time can disrupt the entire company’s rhythm of growth. Survival comes first: you must stay at the table. As long as you retain your technological advantage, those opportunities will still be there two or three years later.
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Grow Alongside Customers
What seems an impossible path often becomes the most practical one, leaving you to “make the best of a wrong turn.” Your current customers may be limited to top-tier international companies, with industry-wide demand still far off. But by growing with customers and witnessing the technology mature, you can see economies of scale bring costs down until applications spread across industries. That is when research-based entrepreneurship reaches its harvest.
#慢創業
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Robin: “Research-based entrepreneurship is not simple. Many mindsets need substantial revision, and many capabilities must be built anew. But you can find a well-resourced venture capital platform to connect and integrate markets, technology, management, and funding.”
These articles are personal notes, book excerpts, and collected reprints. Figures and events reflect the time of the original publication, are not current information, and do not constitute investment advice.
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