Wang Xin Returns to Web3: A New Entrepreneurial Journey from Technological Innocence to Technological Fairness

From “Technology is Innocent” to “Technology is Fair”: Wang Xin’s New Journey in Web3

During the golden age of Internet development in China, Kuaibo was a legend in the hearts of countless people. This video player once accounted for 80% of the domestic video traffic, serving over 500 million users. As the founder of Kuaibo, Wang Xin experienced the ups and downs of his career.

After regaining his freedom, Wang Xin returned to the public eye with a brand new image. However, his second venture did not go smoothly, and as the popularity of the new product faded, he gradually slipped out of the public view and remained silent for many years.

Until early 2025, Wang Xin regained his entrepreneurial passion, announcing his full commitment to Web3 and focusing on the intersection of AI Agents and the crypto economy. He also proposed the concept of “technological fairness” and viewed it as the core value of the next stage of entrepreneurship.

Recently, Wang Xin candidly shared his reflections on the past, his commitment to fair technology, and his belief in starting anew in the wave of Web3.

Interview with Wang Xin: From "Technology is Innocent" of Kuai Bo to "Technological Fairness" in Web3

Two Encounters with Blockchain

In 2011, Wang Xin first came into contact with Bitcoin. Out of curiosity for decentralized currency, he read the Bitcoin source code and mined some coins briefly. However, as he was focused on the KuaiBo business at the time, he did not conduct in-depth research. At that time, BTC seemed more like a geek’s experimental product to him: highly volatile and with an uncertain future.

“The mindset towards Bitcoin looks completely different now.” More than a decade has passed, and Wang Xin’s view on Bitcoin has changed drastically. On one hand, he genuinely admires the innovation of blockchain technology; on the other hand, Bitcoin has gradually grown from being ignored to a mainstream asset on par with gold. Wang Xin stated that Bitcoin, with its community-driven and decentralized institutional endorsement structure, has established global trust, overturned his initial doubts, and provided him with many insights.

In February 2018, Wang Xin was released and made a “high-profile comeback” during a small gathering with several well-known entrepreneurs. At that time, there were rumors that Wang Xin was going to enter the blockchain industry.

However, in the end, Wang Xin chose to establish Yun Ge Artificial Intelligence in Shenzhen, focusing on the social and AI sectors, and successively launched “Toilet” and “Lingge AI”. Due to his previous experiences, Wang Xin stated that he could not let the team take policy risks. “At that time, if we fully invested in blockchain, we were afraid of crossing the red line,” Wang Xin admitted.

Around 2018, although the heat of the ICO boom had not yet dissipated, regulatory policies were highly unclear, and the domestic blockchain entrepreneurial environment suddenly tightened. As a responsible entrepreneur towards the team and company, Wang Xin, after the incident with Kuai Bo, once demanded the company to dismiss employees so that they could apply for labor arbitration to obtain compensation. Therefore, during his second startup, with a responsible attitude, he was unwilling to let the team bear any risks. However, within the company, a small team still remained to continuously pay attention to the blockchain industry and maintain their learning and research on the technology.

Exclusive Interview with Wang Xin: From KuaiBo's "Technology is Innocent" to Web3's "Technology is Fair"

Return to Web3 After Years of Silence

After launching the social app “Toilet” and the recruitment product “Lingge AI” focused on flexible employment, Wang Xin once faded out of the public eye for nearly three to four years. Regarding this “period of retreat”, Wang Xin stated that it was intentional on his part and also due to the circumstances.

“Lingge AI” and “Toilet” attracted attention at the beginning of their launch due to Wang Xin’s “star entrepreneur” halo, but did not create much of a stir afterwards. Both products fell short of expectations, with the “Toilet” project even being halted before its launch. This ups and downs experience made him realize the need for calm reflection. Wang Xin stated: “Such adjustments are very important for a serial entrepreneur like me. I have had glory and also experienced lows, and I need a stronger mindset and clearer goals. I believe that by solidifying myself, I can go further.”

Although he has not officially entered the field, Wang Xin has always had a deep connection with the blockchain industry. The P2P technology of Kuangdian allows all users to publish and share files, making it difficult to be controlled by a central system, which is similar in concept to blockchain network systems. In addition, Kuangdian once launched a traffic mining project, which essentially utilizes a shared economy model to create a CDN( content distribution network). To some extent, this is also the prototype of today’s DePIN.

With the rapid development of the AI industry, the popularization of large models like ChatGPT, and the gradual clarification of Web3 policies in places like Singapore and Hong Kong, Wang Xin realized that these two technologies, which significantly enhance productivity and improve production relations, could be integrated. This entry point also became his “entry point” into the Web3 industry.

Exclusive Interview with Wang Xin: From "Technology is Innocent" of Qvod, to "Technology is Fair" in Web3

Focus on Web3 + AI agent

In the field of AI, Wang Xin’s exploration time and understanding may surpass that of many current Web3 practitioners.

Based on his personal entrepreneurial and investment experience, Wang Xin pointed out that small companies and teams face enormous cost pressures if they create general AI platforms. Computing power expenses often account for 80-90% of the budget, making it difficult for entrepreneurs to sustain. He believes that rather than creating a general platform, it is better to focus on vertical scenarios and develop “small but beautiful” practical products, or to take a different approach by combining AI with Web3 to find new business models.

“AI is highly centralized, including large models which are super centralized, and it seems to have little connection with Web3. At this point, we think about which part of AI will connect with individuals? That would be the AI agent,” Wang Xin said.

The essence of the AI Agent is an orchestrated automated workflow that requires human involvement for tuning and decision-making. The human’s choice of results is, in fact, a participation in the “training” of the Agent. Wang Xin believes that when a community or KOL repeatedly optimizes the same type of task, they possess the core value of this Agent. At this point, the ownership and profit distribution of the Agent should rightly belong to these contributors themselves. With the help of the Web3 public/private key system, each Agent can have a unique on-chain identity, and smart contracts record every contribution and corresponding profit in real-time, ensuring that “data contributors” truly become “value recipients.”

In addition, Wang Xin pointed out that the two core elements of Web3 are asset issuance and asset transfer. The former has an increasingly lower threshold, while the latter’s infrastructure is becoming more refined. The real challenge lies in how to ensure that the issued assets continue to appreciate in value and how to allow community participants, operational teams, and ordinary users to each find their place within the ecosystem. He believes that the solution lies both in enhancing product capabilities and in effectively utilizing Web3 to reshape production relationships, which contains a wealth of potential innovations. For example, addressing the pain points of Web3’s high learning costs, private key management, and Gas fee settings to avoid alienating the vast majority of internet users. Only when the on-chain experience is sufficiently close to people’s daily operations can new professions, new communities, and new entrepreneurial opportunities emerge.

Exclusive Interview with Wang Xin: From "Technology is Innocent" of Qvod to "Technology Fairness" in Web3

The View of Game Giants on Blockchain Games

In addition to the video player, the gaming platform “Kuaiwan Game Box” under Kuwo was once an important source of revenue for the company. This platform, which integrates a vast number of games, opened the door to the world of single-player games for countless players. At its peak, it even rivaled a well-known gaming platform in the Chinese market, with monthly active users exceeding one million, surpassing the vast majority of blockchain game projects. However, in the Web3 field, the once highly anticipated gaming sector has remained sluggish for a long time.

“Playability and decentralization are difficult to achieve simultaneously.” When discussing whether he is optimistic about the prospects of Web3 games, Wang Xin admitted that truly enjoyable games do not rely on Web3 for existence. In fact, whether it is a blockbuster game or past classic web games and single-player games, what players pursue is immersion and fun, rather than the underlying technical implementation. When developers blindly treat blockchain as a “fundraising tool” or “token issuance channel” and overlay it on top of the game, it often affects playability. Players need to learn private keys, worry about transaction fees, and concern themselves with asset security, which completely deviates from the original intention that “games should make people happy.”

“If a new game incorporates both innovative gameplay and Web3 models, the chances of success are extremely low.” Wang Xin pointed out that the core of a game is always its content. Regardless of how technology iterates, players seek storyline, graphics, controls, and social experiences. The correct approach should start from “a certain aspect.” For example, using low-cost on-chain payments to replace traditional credit card and app store revenue sharing can save 3-10% in fees, alleviating the pressure on game developers to acquire users and monetize. Additionally, during the process of cross-border distribution, using stablecoins or multi-chain wallets to complete player deposits, profit sharing, and withdrawals allows developers to reduce costs without the need for expensive advertising.

When payment and profit-sharing are smoothly integrated into the game in a “seamless” way, players enjoy the traditional gaming experience while unknowingly using Web3 infrastructure. Developers will also reduce intermediary profit-sharing, allowing them to obtain greater revenue and continuously provide better products. “So how to make them profitable, I think this must be achieved through the changes in these production relations of Web3.”

Exclusive Interview with Wang Xin: From "Technology is Innocent" of Qvod to "Technology Fairness" in Web3

Reasons for Supporting Meme Coin Fair3

After entering the Web3 industry, Wang Xin’s role seems to have shifted from a serial entrepreneur to a supporter and evangelist. He often shares his views on artificial intelligence and blockchain technology on social media, and sometimes directly mentions Fair3, which he is supporting. According to Wang Xin, Fair3 is not a “project” in the traditional sense, but an ecosystem centered around the core concept of “technological fairness.”

Wang Xin stated that Fair3 originated from a purely Meme coin. After a group of core members ( and the CTO team ) took over, they began to think about a deeper vision: not only to reflect the cultural attributes of the community but also to build a truly decentralized ecosystem that allows every participant to benefit. Fair3 aims to leverage the power of Web3 to challenge various unfairness caused by centralized algorithms and platform monopolies in the traditional internet, transforming the culture of ‘building a tower from tiny grains of sand’ into tangible ecological value.

“Every historical change in production relations has addressed the core issues of its time: agriculture solves food, and industry solves capital,” Wang Xin further explained. In today’s “knowledge stage” and “attention stage,” the monopoly of data and algorithms has led to the exploitation of ordinary users and content creators. Mainstream platforms impose high commission rates on creators, with e-commerce customer acquisition costs reaching 30-40%, and content distribution cuts even reaching 90%. These are unfair practices. What Fair3 aims to do is to gather the “grains of sand” from countless small individuals, and through community cohesion and expression, make the unfairness evident, and leverage decentralized technology to achieve a transformation from cultural construction to ecological implementation.

For example, the CTO team has organized several small-scale meme culture creation and sharing events, where community members independently record “unfair stories” to document personal experiences and support each other. Recently, the community also initiated the “Fair Delivery” campaign, encouraging members to support a certain delivery platform, and airdropping tokens to participants, revealing and correcting the unfairness of platform subsidies and commissions through actual consumption behavior.

Wang Xin revealed that the current size of the Fair overseas community has reached 20,000 to 30,000 people. As the ecological construction progresses, the Fair3 plan will introduce more open-source projects and tools, including investment analysis, airdrop information push, and a consumption matching platform, to provide real value for token holders and consumers.

Exclusive Interview with Wang Xin: From "Technology is Innocent" of Qvod to "Technology Equity" in Web3

The Connotation of Technological Fairness

In the interview, Wang Xin mentioned “technological fairness” multiple times. He elaborated on the specific connotation of this concept: to truly achieve technological fairness, it is necessary to meet both algorithm transparency and data…

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