How Did the Idealism of Western Founders Get 'Taken Over' by Chinese Buyers?

比推Опубліковано о 2026-01-22Востаннє оновлено о 2026-01-22

Анотація

Over the course of two days, two major decentralized social protocols, Lens Protocol and Farcaster, were acquired—by Mask Network and Neynar, respectively. Combined, these protocols had raised over $200 million, with Farcaster recently valued at $1 billion. This follows the earlier acquisition of Steem by Tron in 2020, meaning two out of three prominent decentralized social protocols are now been taken over by Chinese-led teams. The author explores why Chinese buyers are stepping in. One reason may be pricing: these acquisitions often target once-prominent projects now in decline. For instance, Farcaster’s monthly revenue has dropped over 95%, and Lens has only 50,000 monthly active users. Another factor is cultural: while Western founders often approach decentralized social with idealism—emphasizing user-owned data and censorship resistance—Chinese acquirers tend to view it as a business opportunity, prioritizing usability and growth over ideology. Suji Yan, founder of Mask Network, explicitly aims to move “decentralized social from the lab to daily life.” However, past acquisitions like Steem—which led to a community fork—highlight risks when new ownership clashes with original values. The piece questions whether true decentralization is possible when protocols can be sold, suggesting that technical decentralization doesn’t prevent centralized commercial control. Ultimately, the piece argues that the vision for a better social infrastructure remains, but the builders a...

Author: David, Deep Tide TechFlow

Original Title: Web3 Social, Still Dominated by the Chinese


Within two days, two decentralized social protocols changed hands.

On January 20th, Lens Protocol announced it was being taken over by Mask Network. On January 21st, Farcaster announced it was acquired by Neynar, one of its clients.

These two protocols raised over $200 million combined. Farcaster was valued at $1 billion last year, with investors including a16z and Paradigm. Lens is backed by DeFi giant Aave.

Now, the founders have "stepped back from daily operations to work on new projects."

Including Steem, another well-known project acquired by Tron in 2020, two out of these three phenomenal decentralized social protocols have now been taken over by Chinese teams.

You might have forgotten about Steem. It was the pioneer of "writing to earn" launched in 2016, a benchmark project for the entire Web3 social track at its peak. After being acquired by Justin Sun, the community forked and left, which we'll discuss later.

The founder of Mask Network, which took over Lens, is Suji Yan. Chinese, dropped out of UIUC at 20 to start a business, previously wrote articles for Caixin and Jiemian.

Founded Mask in 2017, focusing on overlaying Web3 features on traditional social platforms like Twitter.

Mask has been on an acquisition spree: acquired two large Japanese instances of Mastodon in 2022, bought Orb, the most active client on Lens, last year, and now has taken over Lens itself.

Suji Yan positions himself as the "Tencent of Web3".

On the Farcaster side, the two founders of Neynar, which took it over, are of Indian descent, both former Coinbase employees. But the reality that two out of three protocols were taken over by Chinese teams still holds.

Why the Chinese?

One possible explanation is capability endowment. The two most successful countries globally in making social products are the United States and China. WeChat, Douyin (TikTok), Xiaohongshu (Little Red Book) – Chinese teams have proven they can scale social products to billions of users.

But this explanation has a problem. Building products and acquiring protocols are not the same thing. Protocols are infrastructure, not directly facing users. You can build products on them, but the protocol itself doesn't generate the user experience.

Another reasonable explanation is price.

Looking at Brother Sun's (Justin Sun) acquisition list: bought BitTorrent for $140 million in 2018, Poloniex in 2019, Steemit in 2020, and HTX (formerly Huobi) in 2022.

These targets have a common trait:

They were all once glorious but are on a downward trend. BitTorrent was the pioneer of P2P downloading, Poloniex was once a top US exchange, HTX was once one of China's top three exchanges.

Justin Sun isn't buying the best; he's buying the cheapest good stuff.

Now Farcaster is valued at $1 billion but its monthly revenue has dropped to $10,000, down over 95% year-over-year. Founder Dan Romero admitted last month in a post that "after 4.5 years of trying the social-first approach, it didn't work";

Lens has only 50,000 monthly active users, and the Aave team wants to offload it to focus on its DeFi core business.

The most valuable time for these protocols has passed, but the technical foundation and brand remain. In A-share market terms, this is called:

Fallen out of value (Undervalued).

There's a more subtle line of thought: decentralized social is a belief in the West, but a business in China.

Western founders in this space often carry a degree of idealism. Users should own their data, social graphs should be portable, platforms shouldn't have censorship power... Farcaster's slogan is "sufficiently decentralized", Lens's is "user-owned social".

But after five years, users don't care.

Ordinary people don't care who owns the data, or whether the social graph can be taken away. They care if there are people to chat with, if there is interesting content, if there are associated assets that can skyrocket.

Chinese buyers taking over is, in a way, taking this business from the idealists and handing it to the pragmatists.

Suji Yan says what Mask wants to do is "bring decentralized social from the lab into daily life". Translating that:

Stop talking about ideals, first make people willing to use it.

Of course, the last time a Chinese entity acquired a decentralized social protocol, the outcome wasn't pretty.

In 2020, Justin Sun bought Steem. After the acquisition, he collaborated with exchanges to take control of Steem's network governance. The original community's reaction was a collective fork to create a new chain, Hive, using code to exclude Justin Sun's wallet.

A fork is the most extreme form of protest in the blockchain world – we're not playing with you anymore, we'll copy everything and leave on our own.

Steemit is still running, but more active users have long since moved to Hive.

So the question is, will it be different this time?

Regarding Mask taking over Lens, the official term is "stewardship", not the word "acquisition". The founders will continue as advisors, and the protocol remains open.

But the fact that a "decentralized protocol" can be acquired itself already says something. Contracts can be transferred, codebases can be transferred, Apps can be transferred. So where is the "decentralization"?

After the disillusionment, decentralization is just a technical architecture, not a business model. Technically decentralized does not prevent someone from having the final say commercially.

After Lens changed leadership, Vitalik posted. He said every post he made in 2026 was through Firefly, which is precisely the multi-platform client under Mask Network.

He also said: "If we want a better society, we need better tools for mass communication."

This is true. But who builds this tool, who operates it, who decides what it looks like – decentralization doesn't answer these questions.

The answer now might be: the Chinese will build it.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7605174

Пов'язані питання

QWhat are the two decentralized social protocols that recently changed ownership, and who acquired them?

ALens Protocol was acquired by Mask Network, and Farcaster was acquired by Neynar, one of its clients.

QWhy are Chinese buyers particularly interested in acquiring these Western-founded decentralized social protocols?

AChinese buyers see these protocols as undervalued assets with strong technical foundations and brand recognition, and they approach them from a pragmatic, business-oriented perspective rather than idealistic beliefs in decentralization.

QWhat was the outcome of the previous acquisition of a decentralized social platform by a Chinese buyer, specifically Tron's acquisition of Steem?

AAfter Tron acquired Steem, the original community forked the chain to create Hive, effectively excluding Tron's wallets and moving most active users away from Steemit.

QHow does the acquisition of decentralized protocols like Lens and Farcaster challenge the notion of 'decentralization'?

AThe ability to acquire these protocols highlights that decentralization is primarily a technical architecture rather than a governance model, as ownership and control can still be centralized in the hands of a few entities.

QWhat is Mask Network's stated goal for Lens Protocol, as mentioned in the article?

AMask Network aims to move decentralized social protocols 'from the laboratory into daily life,' focusing on practicality and user adoption rather than idealistic principles.

Пов'язані матеріали

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbit1 год тому

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbit1 год тому

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbit1 год тому

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbit1 год тому

Beyond the Stadium: The Profitable Games Surrounding the World Cup

"Beyond the Pitch: The Profit Game Around the World Cup" The FIFA World Cup transcends being a sporting spectacle, evolving into a massive global arena for speculation and profit-seeking. The 2026 tournament has amplified this dynamic, creating a multi-layered ecosystem of financial opportunism alongside the football. **Prediction markets** have surged into the mainstream. Platforms like Polymarket and Kalshi saw trading volumes for World Cup contracts soar, attracting new users with their financial trading model and high-profile, chain-based wealth stories that overshadow traditional sports betting in terms of growth and narrative. However, **traditional sportsbooks** remain the dominant force, leveraging established user habits, legal markets, and comprehensive product offerings to handle the vast majority of speculative wagers, with projections suggesting record-breaking betting volumes. Capital markets also react. **"Concept stocks"** in countries like South Korea and Japan experience volatile price swings based on team performance and anticipated fan spending on items like chicken, beer, and viewing parties, effectively becoming a stock market reflecting fan sentiment. The **ticket resale market** has become a sophisticated arena for arbitrage. Prices fluctuate wildly based on team draws and star power, with sellers sometimes listing tickets they don't yet own in a practice akin to short-selling, while FIFA's own "Right to Buy" tokens add another layer of speculative trading. **Collectibles and merchandise** offer another avenue. Panini sticker albums, with their inherent scarcity and nostalgic value, can become high-value collectibles. Limited-edition or locally themed jerseys command significant premiums on secondary markets, and even counterfeit vendors profit from fans' desire for affordable match-day identity. The **cryptocurrency** space has seen a frenzy of speculative, unauthorized World Cup-themed meme coins on chains like Solana. These tokens, often exploiting team names and player imagery, experience extreme pump-and-dump cycles, creating stories of massive gains for a few early entrants and steep losses for many others. Finally, an entire industry thrives on **providing information and tools** to other speculators. Developers create platforms like SeatSidekick to track ticket inventory and prices, while paid Telegram groups and subscriptions sell betting tips and predictions, monetizing the widespread desire for an informational edge. In essence, the World Cup has become a compressed, global laboratory for speculation. While the games determine champions on the field, a parallel, complex network of financial transactions—spanning prediction contracts, bets, stocks, tickets, collectibles, crypto, and information services—settles its own scores in the global market.

marsbit2 год тому

Beyond the Stadium: The Profitable Games Surrounding the World Cup

marsbit2 год тому

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbit3 год тому

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbit3 год тому

Торгівля

Спот
Ф'ючерси
活动图片