Recently, @biteyecn and @xhunt_ai founder @defiteddy2020 sat down for an in-depth interview with @SentientAGI APAC’s @Anitahityou, sharing his latest insights on AI entrepreneurship, Vibe Coding, OPCs (one-person companies), and the differences between the AI ecosystems in China and the US.
Here’s a concise summary of the conversation and a breakdown of its key takeaways 👇
🌟 I. Key Takeaways at a Glance
Teddy’s views in this interview can be summed up in eight points:
1. AI has lowered the technical barrier to starting a business, but raised the bar for fundraising.
2. AI is a means of starting a business; what truly matters is still solving users’ pain points and achieving Product-Market Fit.
3. As coding gets easier, Marketing, GTM, and founders’ personal brands will become even more important.
4. AI-generated content can support production, but content with soul and sound judgment still needs a human touch.
5. By contrast, on the AI side, Vibe Coding is changing how teams work, and AI can already take the lead in coding.
6. OPC (One-Person Company) creates new entrepreneurial opportunities for ordinary people, but it is better suited as a side business than as a career choice for everyone.
7. China has an advantage in AI applications, but still lags behind the United States in funding for foundational models and the environment for long-term innovation.
8. When AI can replicate code and content, the hardest things to replicate are soul and brand.
🌟II. A Closer Look at the Key Ideas
1️⃣ AI Has Lowered the Technical Barriers to Entrepreneurship, but Raised the Bar for Fundraising
As a veteran entrepreneur, Teddy believes that in the past, founders needed to assemble a team with development skills to turn an idea into a software product. Now, with Vibe Coding, even people without programming experience have the opportunity to build apps independently.
This means the barriers to software development are falling significantly, and more people will be able to start businesses.
At the same time, however, the fundraising environment is changing.
In the past, a small team with a promising app might have caught investors’ attention. Now that more and more people can build apps, simply having a software product is no longer enough to provide a competitive advantage.
In today’s fundraising environment, investors are paying more attention to large language models, embodied intelligence, world models, and deep-tech fields such as physics, biology, and materials science. It has become harder for startups focused on mainstream applications to raise funds.
AI enables more people to start businesses, but that doesn’t mean more people will be able to raise funding.
2️⃣ AI Is a Means of Entrepreneurship; Solving Users’ Pain Points Is What Matters
When offering advice to AI entrepreneurs, Teddy particularly emphasized that they should not make the technology itself the core of their business simply because AI is advancing rapidly.
For entrepreneurs, the first question to answer is still:
What specific pain point does your product solve for users?
AI can speed up development and lower costs, but it cannot create user demand automatically. If a product does not address a real pain point, then even the highest development efficiency is unlikely to drive sustained user growth.
Therefore, for AI entrepreneurs, Product-Market Fit (PMF) still comes first.
Don’t rush to build something just because AI can do it. First identify what users need, then consider how to use AI to solve their problems more effectively.
3️⃣ As Coding Gets Easier, Marketing and GTM Will Become Even More Important
Teddy believes that the widespread availability of AI coding capabilities is changing the core skills entrepreneurs need.
In the past, a startup team might have needed to invest a great deal of time and resources in product development.
Now, development cycles are shorter and implementation is easier. In turn, entrepreneurs need to devote more effort to areas beyond the product itself.
Teddy particularly emphasized two areas.
1. GTM: Finding the Right Path to Market
Entrepreneurs need to carefully consider how to promote their product, reach their target users, and bring the product to market effectively.
If development is no longer the biggest obstacle, the ability to reach the market may become a key factor in startup success or failure.
2. Personal Brand: Help Users Get to Know the Founder—and the Product
Teddy recommends that every entrepreneur consider building their own personal brand by consistently sharing their ideas and perspectives.
Creating and sharing content can help entrepreneurs build trust, and may also directly increase product exposure and user growth.
Compared with relying entirely on paid advertising, founders who proactively share content have another way to market their products.
This idea is directly relevant to the social media and attention economy in which XHunt operates: as product development becomes easier, capturing attention, building trust, and reaching the right audience become even more important.
When everyone can build products faster, those who can find users and earn their trust may have a greater advantage.
4️⃣ AI-Generated Content Can Support Production, but Great Content Still Needs a Human Touch
Teddy encourages his team to make active use of AI, but he has a clear view of AI content creation: AI can boost efficiency, but it still cannot fully replace human creativity and judgment.
In Biteye’s day-to-day work, the team uses AI to spot trending topics, check that content complies with guidelines, and fact-check information.
However, Teddy believes that valuable analysis of fields such as AI and Web3 still requires independent human thought and original perspectives.
He sees AI as a copilot for content production, not as a replacement for human creators.
AI can help you create content faster, but people still need to decide what is worth writing about, what perspective to express, and how to offer something distinctive.
5️⃣ In Coding, AI Is Shifting from an Assistive Tool to the Primary Executor
Unlike in content creation, Teddy is more optimistic about the development of AI coding capabilities.
In the interview, he shared that he sometimes spends five or six hours a day doing Vibe Coding, mainly using GPT for development and Claude for a second round of verification. AI helps not only with writing code, but also with testing and deployment.
The XHunt team is also bringing Vibe Coding into product development and its daily workflows.
Teddy believes that AI can now take on an increasing number of coding tasks. This is changing the role of people: instead of carrying out every technical task themselves, they can define requirements, make adjustments, and verify results from an oversight position.
In Coding, AI can be the Driver, with people taking on more of a Copilot role—but people still need to define the requirements.
6️⃣ OPC Creates Opportunities for Solo Entrepreneurship, but It Isn’t for Everyone
As AI coding tools advance, it is becoming easier for one person to develop software independently and run a small business.
But Teddy takes a measured view of OPC. He does not believe it will turn everyone into a successful entrepreneur.
In his view, those who succeed through OPC typically need more than technical or product expertise: they also need to understand business models, user needs, and marketing. Work that once required a team may now be done independently by a well-rounded individual using AI.
For most people, he recommends starting with OPC as a side business.
For example, they could use AI to build a small app and try to earn extra income without taking on the full risks of a career change.
AI has lowered the barrier to starting a business on your own, but it has not eliminated business risks. Building a product and earning a sustainable income from it are still two different things.
7️⃣ China Has an Advantage in AI Applications, but Foundational Models Require Long-Term Investment
Discussing the startup environments in China and the United States, Teddy believes that Chinese entrepreneurs are highly competitive in application development, product deployment, and international expansion.
In particular, Chinese entrepreneurs can rapidly develop a range of tools at the AI application layer and turn technology into tangible products.
However, he believes there is still a gap between China and the United States in the field of foundational models.
Competition in foundational models depends on more than performance on a particular benchmark. It also involves computing power, data, investment, and long-term R&D capabilities. Leading US AI companies have invested heavily in these areas, while breakthrough innovations often require longer development cycles.
Teddy also emphasized the importance of taking a long-term view: if companies are constantly under pressure to deliver short-term returns or exit, it can be difficult to sustain investment in foundational technology R&D that takes time to pay off.
Rapid deployment at the application layer is important, but breakthroughs in foundational technology also depend on long-term funding and R&D investment.
8️⃣ When AI Can Replicate Code and Content, the Hardest Things to Replicate Are Soul and Brand
At the end of the interview, Teddy raised a more fundamental question: as AI becomes increasingly intelligent, what unique value will human entrepreneurs and creators have?
His answer: soul and brand.
Whether developing a product or creating content, it is essential to develop a distinctive identity. If a product has no differentiation or a creator has no original perspective, then even if AI enables them to produce quickly, their work can easily be replicated by others.
At the same time, the importance of brand will continue to grow.
Code can be copied and content can be generated, but a brand takes sustained effort over time to become established in users’ minds and earn their trust.
AI can copy your code, but it can’t simply replicate the brand you’ve built over time.
In the age of AI, the real question is not how to do things faster than AI, but how to create value that AI cannot easily replicate at low cost.
🌟III. Conclusion
From XHunt’s product experience to Teddy’s views on AI startups, content creation, and future competition, one clear idea runs through the entire interview:
AI is lowering the barriers to creating products, but that doesn’t mean competition in entrepreneurship will disappear. It will simply shift to new areas.
As technical execution becomes easier, understanding users, finding a market, building trust, consistently creating valuable content, and building a brand over the long term will all become more important.
AI makes it easier to create, but what ultimately determines how far an entrepreneur can go is still their understanding of users, business, and value.