本轮周期区块链行业到底发生了什么

币界网Опубліковано о 2024-08-07Востаннє оновлено о 2024-08-07

币界网报道:

关于VC

- 上个周期节奏正常的VC都赚钱了。

- 这些VC在本周期都3-10倍扩大了基金规模再次融资,导致手上资金过多。

- 但好项目又不够多,为了花出去钱,只好增加轮次融资抬高估值,甚至拿到并不需要的资金。

- 三年前已经失败的老项目也能出来重新融资。

- 这大幅提高了好项目的VC成本和币民心理预期。

- VC和项目方都不傻,本质变成了割LP的游戏。项目投完后发不出币,开会时尴尬不已。

- 好不容易有一个好项目发币了,赶紧PR,6个月或12个月后解锁即卖币,未解锁也得套现。

- 总之,VC不赚钱,LP最惨。

关于新项目

- 成熟创始人做小项目或大项目投入的时间相同,卖币也是一样卖,所以他们只做大项目。

- 大项目 = 高估值 = 基础设施(infra)。

- 基础设施项目扎堆出现,但没有应用或收入,只能自补刷量。

- 自己的钱从VC那里来,反正是免费的。

- 明白了上币开盘Playbook,目标是开盘卖币,高估值开盘卖出最少的币,换来最多的钱。

- 开盘买盘枯竭,但还是要卖币,不卖币不可能。

- 一个币开盘后买盘结束只能跌,通常1-3天,基本撑不过三天。

- 之后制造波动继续卖币。如果市场好,偶尔上涨,然后继续卖币。

- 总之,做项目的第一性原理是卖币,极少部分项目创造价值或靠协议收入。

- 部分刷量项目实际上是假用户项目,上线即归零,没有任何交易量,市值毫无意义。

关于老项目

- 死透的项目用三年前投的优质Cap table再次融资,大部分用KOL round,少部分找基金接盘。

- 为了上市,继续融资刷数据,但没有真用户和真用例。

- 无法上交易所,只能贿赂其他交易所或DEX上币。

- DEX上币=归零,贿赂交易所=归零(贿赂的钱需通过卖币赚回来)。

- 总之,这类项目只能归零,因为他们大概率不会认真做了。

关于头部交易所

- 交易所为项目方提供链上池子服务。

- 给一个币加池子对项目是好事,所以项目肯定会给交易所钱,这是商业常识。

- 交易所需取悦的大户,符合大户利益的项目需要上线,所以LRT项目都得上。

- 符合自己利益的项目也要上,有用户的、新东西的、能竞争其他交易所的项目都得上。

- 因为流动性为王,上交易所成为做项目最重要的一环。

- 交易所起到了用户教育和流动性提供的重要作用,应该获得重要地位和匹配的利润。

- 那你的本金他就默默收下了。

综上,做项目变成了创造一个虚幻的东西,不用做实事,只要能卖币即可。VC币和meme币没有区别。

关于ETH

- 大户改变思路,变成POS,反正不是POW,也不是炒币思路,更不是入金买单思路,就是白嫖思路。

- 大户不参与真正的建设,不对ETH币价有直接正面影响,包括但不限于,做memecoin、拉盘优质memecoin、创造独特的ETH文化等。他们不作为。

- ETH本周期唯二的买入理由是再质押和ETF,但这与散户无关,所以ETH没有强有力的买入理由。

- ETH依然有最多的开发者、节点和生态项目,是最健壮的区块链。

- 但ETH上的项目都心怀鬼胎,想把空气币卖给散户,只为自己赚钱。

- 总之,ETH上散户难赚钱。

关于SOL

- 大户抱团,有大格局,了解散户的想法。

- 大户的量级是40w-2mil SOL,他们花1w SOL做个邪教memecoin或找人做memecoin,轻松无比。

- 抱团拉盘meme,做一堆小池子的memecoin,送到100-500mil。

- 散户看到这么多memecoin眼花缭乱并疯狂FOMO。

- KOL通过喊单赚取注意力,完成财富转移,这些币还真涨。

- KOL形成梯度和喊单区间,Hsaka、Ansem等顶流一档,一些100k followers一档,其他一档(主要是KOC),分别喊不同市值范围的币,500mil+、100-500mil、10-100mil以及10mil以下的彩票选手。

- 这样增加了SOL的生态系统活力,让散户给他们的SOL抬轿子。

- 因为散户都持有SOL,自然形成SOL maxi军团,SOL flip ETH情绪高涨,忘记了SOL的回滚风险及memecoin本质是空气。

- SOL进入正反馈循环阶段,main character喊单,散户继续FOMO。

- 什么时候结束?不知道。当大家对memecoin反感时结束。

- 总之,SOL成为本周期最好的赌场和筹码,所有人都需要SOL。

判断

- memecoin supercycle成立,前百市值币中出现20个memecoin,大量memecoin在100-300mil之间,主要在SOL上。

- 成功的memecoin专注CEX出现。

- 项目继续高市值开盘,但开盘估值显著下调,PR稿称项目方估值合理化,格局大,爱惜羽毛。

- VC下一轮只能找web2融资,他们对行业很眼红,但与LP汇报会很痛苦。

- 不向VC过度融资(甚至完全不融资)的高质量真用例项目开始出现,使用其他更为体面的方式进行利益输送。

- 真正创造价值的审计/安全公司慢慢受到重视,优质审计成为行业的重要部分:BlockSec、Hexagate、Hypernative。

- 对于非meme项目,市场回归对有真实收入、垄断性、用例项目的青睐(希望他们能创新性地将代币和业务关联起来)。

Пов'язані матеріали

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

The article argues that blockchain's fundamental limitation is not the scalability trilemma (decentralization, scalability, security), which has been largely solved, but the lack of **privacy** and, until recently, clear **legitimacy**. Blockchain is described as a slow, expensive, globally shared computer whose core value is censorship resistance and verifiability. While ideal for native digital assets like money (e.g., stablecoins), its default transparency acts as a **tax**, exposing all transactions and enabling MEV extraction, which deters serious institutional capital. Simultaneously, its permissionless nature created regulatory ambiguity. The piece contends that **privacy** is the missing critical feature. It rejects the false choice between total transparency and complete anonymity. Modern cryptography (like zero-knowledge proofs) enables **compliant privacy**: users can prove facts (solvency, KYC status, compliance) without revealing the underlying sensitive data (specific holdings, identities). This preserves auditability for regulators and eliminates the leak of financial information. With recent regulatory progress (e.g., the GENIUS Act) addressing legitimacy, adding default, provably compliant privacy becomes a pure upgrade. It transforms blockchain from a costly, public ledger into a confidential settlement layer, finally bridging the gap to mainstream institutional and individual adoption of on-chain finance.

链捕手7 год тому

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

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Optical Chips: Collective Capacity Expansion

The global optical chip industry is experiencing a massive wave of expansion driven by surging AI data center demand. Major players across the US, Japan, Europe, and China are aggressively investing to ramp up production capacity. In the US, Coherent is expanding its 6-inch Indium Phosphide (InP) semiconductor fab in Texas, supported by CHIPS Act funding and a $2 billion strategic investment from NVIDIA. Lumentum is building a new factory for InP optical devices, and Nokia is scaling its advanced photonic chip packaging and testing capabilities. NVIDIA's investments aim to secure future supply of critical lasers and optical interconnect products for AI infrastructure. Japan's JX Advanced Metals, a leading InP substrate supplier, plans a multi-billion yen investment to increase its capacity 7-10 times, strengthening its grip on the crucial upstream materials market. In Europe, IQE and Tower Semiconductor settled a patent dispute and signed a multi-year InP epitaxial wafer supply agreement, highlighting that next-generation silicon photonics platforms will integrate high-performance InP components. STMicroelectronics and Sivers Semiconductors are also expanding silicon photonics production and partnerships. China is rapidly building out its domestic supply chain. Dongshan Precision's subsidiary, Source Photonics, announced a $12 billion project to expand optical chip and module production. Companies like Sanan Optoelectronics and Yunnan Germanium are scaling up InP chip manufacturing and substrate production, moving towards vertical integration from materials to modules. While debate continues around the exact future architecture—whether CPO (Co-Packaged Optics), NPO, or pluggables will dominate—analysts like Morgan Stanley argue the underlying driver is unchangeable: the explosive growth in bandwidth demand. This will inevitably increase the volume of optical engines, lasers, and related content per GPU, regardless of the final technical path. The competition for "more light" in the AI era has intensified into a global, full-chain capacity race.

marsbit10 год тому

Optical Chips: Collective Capacity Expansion

marsbit10 год тому

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

链捕手11 год тому

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

链捕手11 год тому

1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbit12 год тому

1996 or 1999? Walsh's First Test is 'How to View AI'

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