SocialFi龙头Lens空投?熊市玩的这么大吗?

FastDailyPublicado a 2022-11-09Actualizado a 2022-11-09

Resumen

今天来了解一下熊市里大家的常规操作空投。来带大家看一看最近在羊毛圈颇具热度的SocialFi协议——Lens Protocol。

有一句话说得好:熊市中最好的买卖莫过于屯币和撸空投。

”“

近期,比特币、以太坊的价格上涨以及Aptos的丰厚空投再次验证了这句话的正确性。人们也开始意识到熊市之中最可能让人获益的其实是未来的资产。

”“

而说起空投,大家普遍倾向于同公链协议的交互,但其实除了公链之外,还有许多值得关注的赛道,例如SociaFi。

”“

对于大多数人来说,SocialFi其实已经算不上是个陌生的概念了,但囿于其自身的性质,目前并没有哪一款应用的的确确的跑出来。但这不意味着这个赛道没有潜力,相反,时至今日,某些SocialFi项目已经颇具规模,生态也相当繁荣,而且目前为止尚未发币。

”“

因此,今天就让我们来了解一下熊市里大家的常规操作空投。来带大家看一看最近在羊毛圈颇具热度的SocialFi协议——Lens Protocol。

”“

一、Lens Protocol,可组合的去中心化社交图谱

2022年2月8日,Aave团队推出了Web3社交协议Lens Protocol。同年5月18日,Lens Protocol在Polygon正式上线。截至目前为止,其生态内已经有了几十个应用程序,其中包括Lenster、Lens Booster、SpamDAO、GoldenCircle、PeerStream、Swapify、Social Link等。

”“

Lens Protocol是一个具有可组合性的去中心化社交图谱,用户可以通过该程序创建社交媒体,或者构建新的社交媒体应用程序。而该协议主要通过使用加密钱包地址和NFT进行身份验证和社交行为货币化。

”“

在传统Web2网络中,用户的一切个人资料、好友数据和发布的内容都被储存在集中式数据库中,归网络运营商所有。当用户需要使用时,不得不从数据库中读取数据,对用户来说及其缺乏便携性。而当数据库被攻击时,这些数据也及易被影响和破坏。

”“

Lens Protocol则是希望通过开放的社交图谱来改变这一点,使用户真正拥有自己的数据,并可以将其带入任何基于Lens构建的应用程序中。Lens Protocol旨在使创作者创建与社区之间的联系,形成一个完全可组合的、由用户拥有的社交图谱。作为全新的Web3社交平台,免许可、可组合、去中心化是其最为主要的特性。

”“

Lens Protocol具有用户熟悉的一般社交媒体功能,比如可以编辑个人资料,发帖、评论、转发帖子等。但同其他的社交媒体不同的是Lens Protocol中这些功能以及交互都是由NFT提供支持的,所以用户可以实现完全拥有自身账号的所有内容并可对其随意控制。

”“

二、Lens 空投

”“

在对Lens Protocol有了简单的了解之后,我们也将开始今天的正题,即Lens Protocol的空投到底是怎么搞的。

”“

目前,Lens Protocol尚未发币,关于具体的发币时间Lens官方也未作出说明,但种种迹象表明其后续有较大概率将向活跃用户发放较为丰厚的空投奖励。

”“

因此,抱着宁可白做,不可错过研究的心理,今天就让我们来共同进行一下Lens的交互。

”“

第一步:获取 lens NFT

”“

如果想要参与Lens的交互,用户的钱包中必须持有一枚Lens Protocol Profiles NFT。

”“

前期,用户可以通过公开信签名、兔子洞的任务等免费获取lens NFT。但现如今,前两种方式已经行不通,只能通过在二级市场购买。目前,该NFT在Opensea的地板价约为50u左右。大家可以直接在Opensea上搜索Lens Protocol Profiles,然后进行购买。

在购买NFT之后,我们就可以进入Lenster官网进行交互了。

”“

第二步:发布内容

”“

1、进入Lenster官网https://lenster.xyz/,点击右上角Login,根据提示连接钱包,切换到Polygon主网,并完成钱包签名。

2、完成以上注册的步骤后就可以发布内容了,Lens内容的发布流程同推特或微博差不多。其不同点在于,用户可以设置是否收费、是否镜像化等,在设置好之后,用户只需点击Post并完成钱包签名即可。

3、内容发布之后,底部的Comment、Mirror等功能用户可以自行尝试交互。这些链上行为建议进行简单尝试,因为不排除以后的空投和具体使用程度相关的可能性。

”“

4、关注其他人或加入社区,可以直接点击其他人/社区的链接,也可以在Explore和Communities中添加,每一次添加都需要进行钱包签名。

”“

第三步:创建社区

""

1、在Lenster官网依次点击More——Create Community

2、在弹出的编辑页面依次输入社区名称、简介并上传头像,设置好后点击右下角Create并完成签名。

3、创建成功,点击Go to Community去刚创建好的社区进行发布内容等活动。

""

第四步:发起众筹

""

1、在Lenster官网依次点击More——Create Crowdfund

2、在弹出的编辑页面设置相关信息,点击右下角Create并签名。

""

3、跳转到众筹活动页面,点击Allow并签名。

4、捐款需要使用WMATIC,而如果钱包中没有WMATIC,可直接调转到Uniswap兑换,兑换完成后点击Fund并签名即可捐款。

5、如果想让更多人参与,可在活动下方提取链接并分享。

三、结语

""

至此,Lens空投就告一段落了,虽然除此之外,Lens还有许多应用程序值得进一步交互,但是其数量众多,并非一两期内容就可以盘点完毕的。

Lecturas Relacionadas

A Chip Company Releases AIDC Energy Storage Certification Standards. Why NVIDIA? Computing Power Reshapes Power Supply Logic. Who's in the Lead and Who's Left Out?

NVIDIA has released a "Battery Energy Storage System Self-Certification Guide," setting strict technical standards for energy storage systems specifically for AI data centers (AIDC). The guide focuses solely on certifying the Power Conversion System (PCS), not the batteries, with 10 mandatory performance metrics and 12 validation tests requiring real-world and simulation comparisons. Key requirements include rapid dynamic response to AI workloads, high-frequency system telemetry, and detailed electromagnetic transient models. The move is driven by the extreme and fluctuating power demands of next-generation AI hardware. Modern AIDCs require energy storage systems to act as intelligent, controllable grid assets, not just passive backup, to manage instantaneous, massive power load shifts that traditional UPS systems cannot handle. This redefines the competitive landscape for energy storage providers, shifting focus from capacity and cost to advanced control capabilities and system integration. While the market potential is significant—with forecasts of hundreds of GWh in new demand by 2030—the certification creates a high barrier to entry. It requires proven PCS delivery volumes and credible plans for rapid capacity scaling, favoring established, well-resourced players. Early movers like Fluence (partnering with Siemens) and several Chinese companies have secured projects ahead of the standard, but new entrants must now navigate this rigorous, costly, and time-intensive certification process to compete in the AIDC energy storage market.

marsbitHace 21 min(s)

A Chip Company Releases AIDC Energy Storage Certification Standards. Why NVIDIA? Computing Power Reshapes Power Supply Logic. Who's in the Lead and Who's Left Out?

marsbitHace 21 min(s)

After Missing the 20x, I've Found a 'Dumb' Method for AI Investing

**Missing the 20x Opportunity: A Simple 'Dumb' Approach to AI Investing** The AI boom, driving NVIDIA's revenue from $60B to $216B in two years, creates immense investment pressure. However, like the internet bubble of 2000, the largest AI opportunities likely lie ahead, perhaps after a correction. Instead of rushing in now or waiting paralyzed for a crash, the author proposes a third way: building a "knowledge warehouse" by systematically mapping the AI industry to be ready when opportunities arise. The core of the strategy is understanding AI's four-layer value chain: 1. **Compute Infrastructure (The "Engine"):** This foundational layer, where all money eventually flows, includes: a) **Chip Design:** NVIDIA's dominance via its CUDA ecosystem, b) **Chip Manufacturing/Packaging/Memory:** TSMC's near-monopoly in advanced manufacturing and SK Hynix's lead in High Bandwidth Memory (HBM), c) **Optical Interconnects:** Essential for large-scale AI clusters (e.g., Lumentum, Coherent), d) **Cooling & Power:** Critical for high-density AI data centers (e.g., Vertiv), e) **Servers/Data Centers & Cloud Platforms:** The physical and virtual wholesale providers. 2. **Models & Tools (The "OS"):** The competitive layer of foundation models (OpenAI, Anthropic, Google, Meta, xAI), now generating real revenue. A key shift is the center of gravity moving from **Training** models to **Inference** (running models), which demands different chip characteristics and could challenge NVIDIA's monopoly. 3. **Middleware & Platform ("The Glue"):** Connects models and applications (e.g., Scale AI, Hugging Face). This layer could explode if applications take off. 4. **Vertical Applications ("The Cash Register"):** Where AI meets end-users (e.g., enterprise AI, coding tools, medical AI, robotics). A critical cross-cutting constraint is **Energy**, as AI's massive power consumption drives investment in nuclear and other energy infrastructure. The author identifies four key questions for further research: 1) How will the shift from Training to Inference reshape the competitive landscape? 2) With tech giants spending over $600B on capex, where is the ROI from AI applications? 3) What are the under-the-radar opportunities in the "second" and "third" circles of the value chain (e.g., cooling, specialty foundries)? 4) How will geopolitics (e.g., U.S.-China chip restrictions) bifurcate the supply chain? The conclusion is that missed opportunities stem from insufficient research, not slow timing. By methodically studying each layer—its business models, competition, and valuations—investors can build the "killer intuition" needed to act decisively when the market presents its chance.

marsbitHace 41 min(s)

After Missing the 20x, I've Found a 'Dumb' Method for AI Investing

marsbitHace 41 min(s)

Trading

Spot
Futuros
活动图片