After Farcaster's Pivot, Lens Protocol Changes Hands, Leaving the Dream of Web3 Social in Shambles

marsbitОпубликовано 2026-01-21Обновлено 2026-01-21

Введение

Following Farcaster's pivot, Lens Protocol has been taken over by Mask Network, marking another major shift in the decentralized social space. Lens, originally created by Aave founder Stani Kulechov in 2022, was designed to challenge data monopolies by storing social graphs on-chain via NFTs. Despite raising over $46 million and developing technical solutions like its own chain on ZKsync, Lens struggled with user engagement. With 647,000 profiles but only about 45,000 weekly active users, it became clear that growth was driven largely by airdrop speculation rather than genuine social interaction. The original team, strong in DeFi but weaker in consumer product experience, is stepping back to an advisory role. Mask Network, which focuses on bridging Web2 and Web3 social ecosystems, will now manage Lens. This transition underscores broader challenges in decentralized social platforms, where financial incentives often overshadow real social use cases, fragmenting the original vision of disrupting traditional social media giants.

Author:zhou, ChainCatcher

On January 20, Mask Network announced its takeover of the decentralized social protocol Lens Protocol. This follows Farcaster, another decentralized social platform that recently announced a shift in its development focus.

Just last December, Farcaster announced a strategic pivot, abandoning its social-first strategy in favor of building a wallet-centric application model. The fact that two leading protocols adjusted their course in quick succession reflects, to some extent, the struggles and dilemmas of the entire decentralized social赛道.

It is reported that Lens Protocol was launched in early 2022 by Aave founder Stani Kulechov, who was prompted to build a system that challenges data垄断 and allows users to truly own their social relationships after being temporarily banned from a social platform due to言论 issues.

Lens's core is an on-chain social graph where user profiles, follow relationships, and content interactions exist as NFTs or on-chain data.

In terms of capital, according to RootData data, Lens Protocol has raised over $46 million cumulatively, with investors including Tencent, Robot Ventures, Wintermute, Circle Ventures, and Variant Fund. It was previously rumored to be planning a new funding round at a valuation of $500 million.


Over the past few years of development, Lens transitioned from the Polygon testnet to the mainnet, and achieved modular functionality through its V2 version in 2023. With the entry into a fully permissionless phase in 2024, and the落地 of its dedicated chain Lens Chain based on ZKsync in 2025, the protocol addressed the technical bottleneck of high transaction costs.

However, technical success did not translate into生态繁荣. According to Coingecko data, the protocol currently has a total of 665,000 NFTs, held by 575,000 unique holders, with a total market capitalization of $138,000.


Previously, the Lens official team mentioned in a migration announcement that in February 2025, the protocol had approximately 647,000 minted Profile accounts, with累计发布数 reaching 31 million, but weekly active users were only about 45,000. This means that most of the hundreds of thousands of accounts were likely registered early on to speculate on potential airdrops, with genuinely active users engaging in high-quality interactions being a minority.

This also reflects the shortcomings of the original Lens team. They might have had an edge in DeFi protocol design and smart contract governance, but their experience in polishing consumer-grade products was relatively weak. Stani stated that the management权 of Lens would be handed over to Mask Network, while the original team would transition to technical advisors, returning to their area of expertise in DeFi innovation.

As the接手方, Mask Network has long focused on bridging Web2 and Web3 social networks. It was founded in 2018 by Suji Yan, with the aim of allowing users to enjoy secure, decentralized social messaging, payment networks, file storage, and file sharing without leaving mainstream social media networks.

According to Rootdata data, Mask Network has raised over $57 million cumulatively, with investors including HashKey, Hash Global, DCG, YZi Labs, and others. It has launched its native governance token MASK, whose current FDV is approximately $60 million.

Currently, Mask旗下已拥有 the聚合 application Firefly, the identity protocol Next.ID, Web3.bio, and several other core components.


It is worth mentioning that as early as 2023, Mask Network participated in Lens's seed round of funding. It was an early supporter and生态 participant of Lens, and in 2025, it completed the strategic acquisition of Orb.club, a native social application on the Lens chain.

Mask founder Suji Yan stated that Mask's mission is to make decentralized social features easy to use and intuitive, which aligns with the next development stage of Lens.

However, for Mask, this might be an attempt to突围 at the application layer, but for the entire赛道, it is merely a清算 of the social dream.

Looking back over the past few years,所谓的流量爆发 were almost entirely driven by airdrop expectations and speculative博弈, not源于真实的交流需求.

SocialFi placed too much emphasis on the "Fi" and neglected the "Social". With the抽身 of the Lens founding team and the变道 of Farcaster, the grand narrative of Web3 social最初那个 "颠覆传统社交巨头" has already been shattered.

Click to learn about open positions at ChainCatcher

Похожее

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit33 мин. назад

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit33 мин. назад

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit1 ч. назад

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.2k просмотров всегоОпубликовано 2025.01.15Обновлено 2025.03.21

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.2k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

活动图片

Топ вопросы

Популярные категорииright-arrow

Популярные тегиright-arrow