Electric Capital:研究超1500个项目后,我们发现了什么?

Odaily星球日报Publicado em 2024-07-15Última atualização em 2024-07-15

Resumo

DeFi成为加密的主要类别,NFT支撑着整个加密应用。

原文标题:《Introducing the Crypto Market Map》

原文作者:Electric Capital 

原文编译:Peisen,BlockBeats

编者按:

Electric Capital 追踪整个加密领域的 1, 500 多个项目后绘制出了加密市场地图,将加密项目分为六个技术层次,包括核心基础设施、扩展、互操作性、开发者工具与服务、协议和应用程序,分析得出 DeFi 现在已成为加密的主要类别;NFT 现在支撑着整个加密应用;扩展性和互操作性项目正在成熟;面向消费者的应用程序和协议正在增长;创新技术已经从理论阶段转向实践阶段。

加密市场地图追踪整个加密领域的 1, 500 多个项目。加密市场地图的目标是帮助人们理解和将项目置于加密环境中的上下文中。它清晰地展示了行业结构及不同公司和项目所扮演的角色。

该网站是社区掌握不断扩展的加密空间的一个重要去处。

加密市场地图是首个将每个主要项目在生态系统中的角色置于上下文中的工具。加密市场地图分为六个技术层次,从基础设施项目底层到面向最终用户的项目顶层。这些层次反映了加密基础设施成熟的进展过程。

加密市场地图的六个技术层次包括:

核心基础设施:这一基础层包括比特币和其他 Layer 1 区块链项目,这些项目在比特币初始设计的基础上进行了扩展,提供了改进和不同的权衡。矿业服务、硬件制造商和其他基础设施级别的项目都包括在此层次中。

扩展:随着比特币、以太坊和其他 Layer 1 的使用增加,出现了解决可扩展性问题的项目。这一层包括 Layer 2、Layer 3 和模块化区块链项目。

互操作性:随着链的增多,跨链信息传输能力变得至关重要。这一层的项目专注于实现跨链通信、数据共享和资产转移。

开发者工具与服务:这一层列出了对开发者和用户至关重要的工具、服务和数据提供者。它涵盖了从开发框架到数据分析工具的一切。

协议:这些项目的特征是大部分规则在链上执行。可以在这些协议之上创建许多不同的前端,以服务不同的用户群体。这些项目涵盖了 DeFi、NFT 与游戏、社交、身份和数据主权、隐私等多种用例。

应用程序:这些项目的特征是大部分规则不在链上执行。这些项目涵盖了中心化金融、创作者平台、NFT 与游戏、社交、身份和数据管理与主权、隐私等多种用例。

协议和应用程序之间的界限并不总是清晰,许多项目可以同时被视为两者。这是因为加密中的许多应用程序既有链下又有链上的组成部分。

在加密市场地图中,有 138 个项目被列入多个类别。

加密市场地图旨在通过视觉方式展示加密领域大多数项目的建设方向。每个层次的高度显示了项目数量。最高的层次拥有最多的项目。在每个层次中,项目更多的类别位于左侧,项目较少的类别位于右侧。

随着加密技术的成熟,加密变得越来越专业化和复杂化。我们创建了加密市场地图,以提供对快速扩展的加密行业的概览。

Electric Capital:研究超1500个项目后,我们发现了什么?

从 2019 年 6 月起,Electric Capital 市场地图已纳入 500+个项目。尽管只考虑到重要项目, 2024 年加密市场地图中包括了 1, 500+个项目。

自 2019 年发布第一版市场地图以来,加密领域发生了重大变化:

DeFi 现在已成为加密的主要类别。2019 年,由于还不足以与非协议化金融应用分开,DeFi 类别未出现在市场地图中。像 Uniswap 和 Compound 这样的项目是在不到一年前推出的。如今,拥有 340 亿美元流通供应量的第三大稳定币 DAI 当时尚未推出。当时整个 DeFi 的总价值锁定 (TVL) 还不到 5 亿美元。如今,DeFi 拥有 850 亿美元的 TVL,并且是加密市场地图中最大的类别,涵盖 394 个项目,涵盖了 14 个子类别,包括全新的专业子类别如收益、流动质押、流动重新抵押等。

NFT 现在支撑着整个加密应用。2019 年,像 Cryptokitties 这样的最知名的 NFT 收藏品被纳入「游戏」类别。几乎没有独立的收藏品存在。大多数应用程序不使用 NFT。如今,NFT 已成为跨游戏、创作者平台、音乐、艺术、忠诚度、金融、身份等多个领域的资产标准。允许在 NFT 资产上进行借贷、借贷和衍生品的协议已经成为一个全新的类别,涵盖 49 个项目。

扩展性和互操作性项目正在成熟。2019 年,Layer 2 项目有 17 个。跨链和互操作性项目有 8 个。如今,扩展性和互操作性作为加密市场地图中独立的「技术层」存在,涵盖了许多类别和子类别。现在有 73 个重要的 Layer 2 项目。Layer 3 项目已经出现。模块化区块链是扩展性内的一个新类别,有 60 多个重要项目,比 2019 年所有 Layer 2 和跨链项目的总和还要多。意图和账户抽象是互操作性层内的一个新类别,有 11 个项目。

面向消费者的应用程序和协议正在增长。游戏、社交和其他面向消费者的应用程序正在迅速扩展。2019 年,只有 30 个主要的游戏项目;如今,在游戏、游戏平台和元宇宙领域共有 121 个项目。社交应用程序和协议现在有 110 个项目。

创新技术已经从理论阶段转向实践阶段。2019 年还处于理论阶段的创新如今已经有了活跃的项目。例如,零知识技术从 Zcash 等少数先驱项目发展到在加密市场地图中被 159 个项目使用。

随着各个类别的成熟,一些类别经历了整合。2019 年,智能合约平台和交易所是加密项目中最大的两个类别。由于用户和开发者已经整合到更少的平台上,这两个类别的项目数量没有显著增长。随着各个类别的成熟,我们预计同样的整合效应也会影响到其他类别。

专业化在加密货币领域变得至关重要,以便跟上不同类别的进展。每个领域都需要独特的专业知识。随着加密货币的扩展,全面理解所有垂直领域变得越来越具有挑战性。加密市场地图旨在通过提供整个行业的概述来解决这一问题。

加密市场地图意图仅包含主要项目,并且在加密货币空间中低估了所有项目的数量。加密市场地图的目的是包括具有重要行业或文化影响力和长期性的项目。

该市场地图中的项目来自成千上万个加密项目的池子。要包含在市场地图中,项目必须具备以下至少一项特征:

自 2019 年以来融资超过 2 百万美元,并且自 2024 年 3 月以来有活跃更新

自 2019 年以来融资超过 5 千万美元,并且自 2024 年 3 月以来有活跃更新

2024 年有 50 名以上开发人员参与

在 Coingecko 上市值排名前 100 

在 DefiLlama 上其所在链上的主要 DeFi 项目

具有超过 1 万个 Twitter 粉丝的显著社区支持的个别项目

在某条链的生态系统中担任领导或显著角色的个别项目

即使符合以上标准,也排除了参加黑客马拉松的项目以及不显示出有意出货其最初宣布的产品或其出货时间表可能太远的项目。

加密市场地图尚未完成且处于测试阶段。请帮助我们改进它!此地图仍处于测试阶段且远未完成。

我们已审查了成千上万个加密项目,以便纳入市场地图,但我们预计仍存在空白。由于数据来源的缺失,某些项目可能会缺席。分类可能是主观的,因此某些类别中可能会缺少项目。

此外,随着时间的推移,新项目变得日益重要,保持地图的最新将是社区的共同努力。

通过公开构建加密市场地图,我们旨在为加密行业中的所有人提供一个有价值且社区驱动的工具。

缺少项目?分类错误?一般反馈?请在此处贡献以完善和扩展加密市场地图。

原文链接

Leituras Relacionadas

U.S. Bonds, AI, Inflation: You Can't Have All Three – What's Bitcoin Betting On?

Title: U.S. Treasury Bonds, AI, and Inflation: A Trilemma Facing Washington, and Where BTC Fits In Core Thesis: The U.S. government faces a trilemma: stabilizing the Treasury market, sustaining the AI investment cycle, and controlling inflation. The likely political choice is to prioritize the first two, accepting higher inflation for longer. This creates a sustained tailwind for both gold and Bitcoin by injecting liquidity and shifting duration risk away from the private sector. Key Pressures on Treasuries: * Long-term yields (e.g., 10-year ~4.70%) are near multi-decade highs due to persistent inflation risks, high fiscal supply, weaker demand for long duration, and new competition from AI infrastructure financing. * AI investment, requiring massive capital (estimated ~$300B in investment-grade bond issuance), is now competing directly with the Treasury in long-duration debt markets. * Geopolitical tensions (e.g., Iran conflict) add upward pressure on oil prices and defense spending. Policy Response: The Treasury, under Secretary Besant, is focusing on market stability through measures like supporting the Yen (to prevent forced Japanese Treasury sales), increasing repo operations for long-dated bonds, and potentially shifting issuance toward the short end. This "aggressive Treasury issuance" can function like "stealth QE," easing financial conditions. Impact on Assets: * **Gold** has already benefited (up ~90% from Aug 2024 to Aug 2026), driven by declining trust in the USD, inflation fears, and a "monetary debasement" narrative. * **Bitcoin** is now showing stronger correlation with this theme. Recent outperformance vs. gold (BTC +22.2% vs. Gold +5.9% in late Aug) coincided with Treasury's enhanced repo actions, suggesting the market may be pricing it as a liquidity/ debasement hedge, not just a speculative tech asset. Conclusion: If high inflation, large deficits, and AI capital demands persist, the cost of stabilizing bonds and growth will be shorter debt maturity, constant liquidity support, and tolerance for higher inflation—a favorable environment for gold and BTC. This view would be challenged only by a return to ~2% inflation, credible fiscal consolidation, or AI becoming self-funding.

marsbitHá 14m

U.S. Bonds, AI, Inflation: You Can't Have All Three – What's Bitcoin Betting On?

marsbitHá 14m

HBM is Being Redefined

HBM is being redefined as AI-driven demand for computing power shifts the performance bottleneck from processing units to memory bandwidth, making High Bandwidth Memory the critical component for advanced AI hardware. At HotChips 2026, Samsung and SK Hynix unveiled new technical roadmaps for HBM4, moving away from the traditional approach of simply increasing DRAM speed and stacking layers. The focus for HBM4 has shifted from DRAM optimization to a comprehensive system-level redesign of the Base Die. Key innovations include upgrading the Base Die to advanced logic processes (e.g., Samsung's 4nm), adopting hybrid bonding for 3D stacking, and exploring heterogeneous packaging solutions like Intel's EMIB alongside the established CoWoS. This marks HBM's evolution from a simple memory component into an integrated system involving "memory + logic + packaging + IP + EDA." This transition brings benefits like better signal integrity, higher I/O bandwidth (up to 2048-bit), and potential for in-memory computing. However, it also introduces significant complexity. DRAM manufacturers now must deeply collaborate with logic foundries, extending design cycles and increasing supply chain challenges. Furthermore, the industry is moving towards multiple advanced packaging paths, with EMIB emerging as an alternative to CoWoS to alleviate capacity constraints, while hybrid bonding is being developed for future ultra-high (16+ layer) stacks. New core barriers have emerged beyond manufacturing. High-speed PHY/SERDES IP, crucial for HBM4's higher data rates, is concentrated among a few established players, creating an entry barrier for smaller firms. Similarly, the industry lacks mature 3D heterogeneous EDA toolchains capable of co-simulating the coupled electrical, thermal, and mechanical effects across the logic base, memory stacks, and interposer. These "soft" capabilities in IP and EDA are now critical determinants of HBM4's performance and yield. In summary, the HBM industry is entering a new era of systemic competition. The standardized approach is giving way to divergent vendor roadmaps, with multiple technologies coexisting. Success will depend on integrated architecture, packaging, process, and ecosystem capabilities, fundamentally reshaping the competitive landscape for AI memory.

marsbitHá 18m

HBM is Being Redefined

marsbitHá 18m

The Era of Earning 200,000 from a 3,000 Investment Is Over; AI Comic Dramas Are Not a Get-Rich-Quick Trend

The era of turning 3,000 yuan into 200,000 yuan is over. AI-generated comic dramas are no longer a low-barrier gold rush. A wave of sudden account suspensions has hit creators in AI comic dramas, AI art, and AI tutorials, primarily triggered by new content and copyright compliance rules implemented by Tomato Novel on August 17. This "last straw" exposed the underlying issues: tightening platform rules, rising copyright requirements, increasing costs, and severe content homogenization. The business model was fundamentally unsustainable for most creators. One creator detailed the math: producing five minutes of content daily cost around 510 yuan in AI computing and editing, while a video with 60,000 views might only earn 45 yuan. While a few early viral hits like "Huo Qubing" and "Zombie Cleaner" achieved high returns with minimal investment, they were exceptions. The reality for most solo creators was barely covering costs or operating at a loss. The new regulations mandate formal authorization from original authors for adaptations, limit video length and the amount of原著 content used, and ban terms like "Episode 1" in titles. This directly dismantled the previous "produce first, authorize later" model. Faced with the inability to afford版权 costs and the threat of penalty, many creators chose to halt updates. While some fans expressed frustration, the rules protect original authors who often faced侵权 with little recourse. The shutdowns signal not the failure of AI technology, but an inevitable industry shift from wild growth to regulated refinement. The previous model prioritized quick cash over quality content, leading to formulaic, "AI-face" saturated dramas that audiences grew tired of. The future belongs to creators who use AI as a tool to serve solid storytelling, not replace it. Some are now seeking formal licenses, a slower but necessary process. Upcoming national regulations further underscore this move towards standardization, weeding out those seeking only fast money and making space for genuine creators.

marsbitHá 19m

The Era of Earning 200,000 from a 3,000 Investment Is Over; AI Comic Dramas Are Not a Get-Rich-Quick Trend

marsbitHá 19m

Trading

Spot
活动图片