贝恩资本合伙人：DAO像21世纪初的B2B软件

Odaily星球日报Опубліковано о 2022-03-11Востаннє оновлено о 2022-03-11

Анотація

贝恩资本周二宣布专门成立一个新的加密团队

贝恩资本(Bain Capital Ventures，简称BCV)周二宣布专门成立一个新的加密团队——贝恩资本加密基金（Bain Capital Crypto，简称BCC），由一支5.6亿美元的基金支持。随着贝恩资本内部成立专门团队，致力于加密行业的风险投资基金数量本周有所增长。
BCC正在追随a16z的脚步
BCC资金规模达1550亿美元，是BCV规模最大的基金。根据周二晚间与该团队的谈话，BCC在加密生态部署了5.6亿美元资金，重点投资初期阶段的公司。
合伙人Stefan Cohen表示，“BCC已经运作了一年左右。BCV对加密行业并不陌生，投资组合中的公司包括BlockFi、Zero Hash、Risk Harbor和CoinDCX。”
Stefan Cohen自2016年以来一直担任BCV的合伙人，他表示，“贝恩资本认为需要成立一个专注于加密行业的团队，以在新兴的加密行业中增加竞争力。”
a16z成立了专门的加密团队，从某种意义上说，BCV正在追随a16z的脚步。另一方面，BCV不得不与Paradigm和Multicoin等大型加密行业风投公司以及Sequoia和Tiger等传统风投公司竞争。
"一年多以前，我们开始成立一个面向创始人的基金，以从初期帮助创始人成长，"Cohen补充说。"就关键的经济问题提供建议，与链上治理互动，提供流动性和质押。"
该基金的联合负责人亚历克斯·埃文斯（Alex Evans）说，该团队 "为我们提供了这样的结构"。
为此，鉴于加密市场的复杂性，该基金希望更多体现出"疯狂科学家"文化，而不是像传统的硅谷那样。
BCC不是传统的风险投资
Cohen表示，"加密货币风险投资与传统的软件投资不同：创始人和社区有一系列不同的需求，并且我们打算参与协议社区，代码级别的治理决策，并在我们感兴趣的基础设施上孵化项目。"
到目前为止，大型传统风投公司已经放弃在交易所交易的代币。一位女性发言人表示，贝恩还计划支持匿名创始人。投资规模将从100万美元到3000万美元不等。
新基金加入了近几个月融资的其他基金，包括Sequoia、Pantera和交易所FTX。随着不同的加密基金持续宣布成立，
然而，BCC周二宣布成立时并非毫无争议。一张全是男性的合影引发了网友的嘲笑和批评。周二晚间，合伙人Stefan Cohen道歉并承诺将雇佣女性、投资女性主导的项目。
BCC将大规模投资DAO
Cohen和Evans预计将大规模投资DAO。
虽然DAO已经存在多年，但在2021年，由于社区主导的病毒式公益事业（涉及购买一份罕见的美国宪法副本，或通过购买NFT支付维基解密创始人朱利安 · 阿桑奇的法律费用）的推动下，DAO在媒体中出现的比例大幅上升。在开发方面，DAO帮助管理Compound 到Uniswap等DeFi协议。
"随着Web3叙述的发展，出现了很多更具包容性的DAO。有文化底蕴的DAO，可以游玩的DAO，感觉很直观，"Daily Ape的Darren Lau在最近一集The Scoop中指出。"人们只是想找个地方和朋友出去玩，有一个DAO似乎是当下最酷的方式。"
与此同时，DAO的扩张创造了投资机会，引起了像BCC等公司的兴趣。
BCC计划投资为DAO提供治理、支付和启动时间营销等相关工具和服务的公司。
在采访中，Cohen指出Tarun Chitra的Gauntlet是这一领域公司的一个例子，强调了该公司的自动化治理平台。"我们的生活和工作方式将继续演变，并创造一个纯粹的加密货币原生的经济增长飞轮，"Cohen说。
此外，Cohen补充说，“DAO开始像21世纪初B2B软件的样子。

Трендові криптовалюти

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

ZRX（0X）ZRX

PancakeSwapCAKE

Пов'язані матеріали

Microsoft CEO Satya Nadella's Latest Warning: Betting Entirely on a Single AI Model Hands Over a Company's Lifeblood

Microsoft CEO Satya Nadella warns that companies relying solely on a single AI model could jeopardize their survival. He argues that over-dependence leads to "vendor lock-in," where businesses risk ceding control over their core data, memory, contextual history, and AI usage patterns. This dependence essentially outsources a company's critical thinking and operational know-how to an external provider. The deeper a company integrates with one AI system—feeding it prompts, internal data, and workflows—the more it reveals its unique business methods and competitive edge. This accumulated knowledge could become accessible to the AI supplier. Furthermore, switching providers becomes extremely costly and complex, as companies would need to rebuild their entire AI-augmented workflow, memory, and tool integrations from scratch. Nadella's solution is "decoupling." Companies should separate their proprietary data, memory, and control layer (or "harness") from the underlying AI models. By retaining metadata from every AI interaction, businesses can preserve their operational "brain" or institutional knowledge. This allows them to flexibly use different AI models (e.g., from OpenAI, Anthropic, Microsoft) for specific tasks without losing their accumulated expertise. The core idea: companies can rent the smartest models available, but they must keep their own "brain" and operational control firmly in-house.

marsbit40 хв тому

Microsoft CEO Satya Nadella's Latest Warning: Betting Entirely on a Single AI Model Hands Over a Company's Lifeblood

marsbit40 хв тому

KOSPI Index Halts Trading Due to Eighth Price Limit Up Circuit Breaker Trigger of 2026

The South Korean KOSPI index has triggered a market-wide trading halt for the eighth time in 2026, falling another 8% and losing over 28% in the past month. This latest plunge is driven by a severe sell-off in semiconductor and AI-related stocks. Key contributors include a sharp decline in shares of SK Hynix (down 50% from its June high) and heavyweights like Samsung, which comprises 50% of the index. The drop followed a sector-wide weakness triggered by the IPO of Changxin Memory Technology and falling US chip stocks like Nvidia (-4.4%). Analysts point to massive AI financing deals (like Nvidia's $250B support for OpenAI) raising debt cost concerns and questioning AI scalability viability. The article notes Bitcoin's correlation with AI stocks has weakened, but KOSPI's volatility could redirect some liquidity to crypto markets. Blockchain-based exchanges are exploring KOSPI-linked perpetual futures to allow speculation on further declines or a short squeeze, as traditional altcoin trading in South Korea diminishes amid the index's dramatic swings.

cryptonews.ru40 хв тому

KOSPI Index Halts Trading Due to Eighth Price Limit Up Circuit Breaker Trigger of 2026

cryptonews.ru40 хв тому

Miners Advised Not to Buy GPUs for AI and to Focus on Infrastructure

A founder at an energy investment forum advises bitcoin miners not to purchase GPUs for AI themselves, but to instead focus on infrastructure like power and data center space. Mike Alfred of Alpine Fox stated that while AI infrastructure demand is a long-term, 20-30 year trend, it presents a key choice for miners. The first, riskier model involves owning and operating GPUs, which requires financing expensive hardware that quickly becomes obsolete. The second, more conservative model is akin to real estate: providing colocation services where clients bring their own servers, and the miner sells space, power, cooling, and water. Alfred noted this model is easier to finance. Most existing bitcoin mining sites are difficult and expensive to convert for AI, as AI data centers require far higher construction costs, redundant fiber connections, backup power, complex cooling, and near 100% uptime. A hybrid model, where mining acts as a flexible load to use excess power during AI data center construction or from generation facilities, was discussed. However, participants concluded this is only viable with very cheap power; otherwise, developers are better off focusing solely on AI. Miners are increasingly being evaluated for their available power capacity and project portfolios rather than just bitcoin output. Panelists also warned of risks in the AI sector, predicting at least one major default or contract breach among AI tenants, lenders, or landlords before bitcoin's next halving in 2028.

cryptonews.ru50 хв тому

Miners Advised Not to Buy GPUs for AI and to Focus on Infrastructure

cryptonews.ru50 хв тому

Millisecond 'Pay-to-Cut': How Did Hyperliquid's Priority Fee Turn into a Multi-Million Dollar Business?

"Millisecond 'Paid Queue-Jumping': How Hyperliquid's Priority Fee Became a Multi-Million Dollar Annual Business" In traditional finance, high-frequency trading firms spend millions on infrastructure for millisecond advantages. Hyperliquid has translated this race onto the blockchain with its "Priority Fee" system, creating an open economic game for speed. This system auctions two types of priority: **Gossip Priority** for faster data feeds (via a Dutch auction every 3 minutes), and **Order Priority** for front-of-queue trade execution (users bid a fee for lower latency). This converts a hardware race into a transparent, market-priced mechanism. Since launch, this feature has generated over $5M in protocol revenue. Projected annualized buybacks from this income exceed $30M, accounting for ~7% of total protocol revenue. The demand stems from large traders and market makers on Hyperliquid, for whom milliseconds can mean the difference between profit/loss or avoiding liquidation. Market makers pay these fees as "protection" to ensure their orders execute first, which in turn improves liquidity for all users. Crucially, Hyperliquid internalizes Maximum Extractable Value (MEV) that typically leaks to external validators or searchers, creating a new revenue stream beyond trading fees. The mechanism also strengthens HYPE's tokenomics. While 97% of trading fees fund secondary market buybacks (via the Assistance Fund), Priority Fees are **directly burned**, adding a second deflationary engine. Furthermore, fees for order priority are deducted from users' undelegated HYPE balances, encouraging large traders to hold and lock up tokens, reducing circulating supply. However, a key challenge remains: balancing the speed needs of institutional players with fair market access for retail users, as those who cannot pay high fees may suffer worse slippage during volatility. In summary, Hyperliquid's Priority Fee is a novel model that monetizes latency, captures MEV for the protocol, and enhances its native token's value through burning and lock-ups.

marsbit55 хв тому

Millisecond 'Pay-to-Cut': How Did Hyperliquid's Priority Fee Turn into a Multi-Million Dollar Business?

marsbit55 хв тому

Jito Seizes User Traffic with JTX, Why Is It Still Undervalued by the Market?

Jito, a Solana infrastructure provider, has launched a new product called JTX, which is shifting its business model from being a price-taker on Solana block space to becoming a price-setter for user transaction flow. Despite this strategic shift aimed at capturing and monetizing user traffic, the market continues to undervalue its native token, JTO. Analysts present a valuation case for JTO, arguing the market still prices it as backend infrastructure. Their base case scenario assumes JTX captures 15% of Solana DEX volume by Q2 2027, generating significant annualized revenue. Applying a conservative 30x P/S multiple to this revenue implies a JTO price of $1.18, representing ~57% upside from current levels (~$0.75). A probability-weighted target, including bullish (40% probability, 25% market share) and bearish (10% probability, 5% share) scenarios, points to a target of $2.75, suggesting ~267% potential upside. The thesis hinges on JTX's early positive performance data and its potential to benefit from the expected growth of on-chain trading, particularly from tokenized stocks and real-world assets. Furthermore, an estimated 80% of JTX's net revenue is slated for JTO buybacks, creating a potential value-accrual flywheel. The report concludes that Jito's transformation via JTX is not yet reflected in its valuation.

marsbit1 год тому

Jito Seizes User Traffic with JTX, Why Is It Still Undervalued by the Market?

marsbit1 год тому

Торгівля

Спот

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни UNI (UNI).