Desbloqueo de tokens de la semana: STRK desbloquea aproximadamente el 4.6% de la oferta circulante

marsbitPublished on 2026-02-07Last updated on 2026-02-07

Abstract

Resumen de desbloqueo de tokens: Esta semana, Starknet (STRK) desbloqueará 127 millones de tokens (4.6% de la oferta circulante), valorados en ~$6.34M. Starknet es una capa 2 de Ethereum que utiliza zk-STARKs para mejorar la velocidad y reducir costos. Además, Kamino desbloqueará 12.5 millones de tokens, valorados en ~$13.63M. Es una solución de liquidez automatizada en Solana que mejora la eficiencia de capital para proveedores de liquidez.

Starknet

Twitter del proyecto: https://twitter.com/Starknet

Sitio web del proyecto: https://starknet.io/

Cantidad desbloqueada esta vez: 127 millones de tokens

Monto desbloqueado esta vez: aproximadamente 6.34 millones de dólares

Starknet es una capa 2 de Ethereum que utiliza tecnología zk-STARKs para hacer que las transacciones en Ethereum sean más rápidas y con tarifas reducidas. La empresa matriz de StarkNet, StarkWare, fue fundada en 2018 y tiene su sede en Israel. Sus principales productos de desarrollo son Starknet y StarkEx. Al utilizar STARK, Starknet verifica transacciones y cálculos sin necesidad de que todos los nodos de la red verifiquen cada operación. Esto reduce significativamente la carga computacional y aumenta el rendimiento de la red blockchain.

La curva de liberación específica es la siguiente:

Kamino

Twitter del proyecto: https://x.com/kamino

Sitio web del proyecto: https://kamino.finance/

Cantidad desbloqueada esta vez: 12.5 millones de tokens

Monto desbloqueado esta vez: aproximadamente 13.63 millones de dólares

Kamino es una solución de liquidez automatizada basada en el mecanismo de creador de mercado de liquidez concentrada (CLMM). Los proveedores de liquidez (LP) que buscan mejorar la eficiencia del capital pueden utilizar el sistema automatizado de creación de mercado de Kamino para aumentar las tarifas y el rendimiento esperado de los retornos. Kamino fue incubado por Hubble Protocol.

La curva de liberación específica es la siguiente:

OpenAI Audited Financial Report: $38.5 Billion Loss in 2025, $19.2 Billion Burned on R&D, Microsoft Takes $17.2 Billion in a Year

OpenAI's audited financials reveal staggering losses. In 2025, the company reported a net loss attributable to OpenAI of $38.53 billion, a dramatic increase from a $5.1 billion loss in 2024. While revenue grew from $3.7 billion in 2024 to $13.07 billion in 2025, costs skyrocketed to $34 billion. A massive $41.55 billion loss from the fair value change of convertible equity and warrant liabilities, tied to its shift to a for-profit structure, significantly contributed to the 2025 result. Research and development spending reached $19.18 billion in 2025. The filings also show OpenAI paid Microsoft approximately $17.2 billion in 2025 for services, including $10.59 billion categorized under "research and development," likely for model training costs. Other major payments included $867 million from SoftBank and $303 million from Microsoft to OpenAI. The report raises serious concerns about the AI company's path to sustainability and profitability, highlighting financial figures far exceeding external expectations.

marsbit4m ago

OpenAI Audited Financial Report: $38.5 Billion Loss in 2025, $19.2 Billion Burned on R&D, Microsoft Takes $17.2 Billion in a Year

marsbit4m ago

With Daily Active Users Reaching 3-4 Times That of the Industry's Second Place, Which Crack in the Office Agent Market Has Tencent's WorkBuddy Torn Open?

Tencent's AI office assistant, WorkBuddy, has achieved daily active users (DAU) 3-4 times that of the industry's second-place product, primarily driven by non-technical users like HR, operations, and administrative staff. Its rapid growth, starting with a public beta in March 2026, highlights a key strategic divergence from competitors like OpenAI's Codex and Anthropic's Claude Code. Unlike those tools, which originated as developer-focused assistants (in command lines or IDEs) and are now expanding towards office scenarios, WorkBuddy was built from the ground up for non-technical office workers. Its development was user-driven, initiated after腾讯云's team observed non-technical employees using their CodeBuddy coding tool for general tasks. WorkBuddy's design is defined by three core decisions aimed at lowering barriers: 1) Using natural language instead of technical concepts, so users describe their goal without needing to understand prompts or agents. 2) Providing pre-packaged "Skill" templates for common office tasks like data processing, content creation, and research. 3) Natively integrating into existing腾讯 ecosystems like腾讯 Docs and WeChat, making the agent a seamless part of the user's workflow rather than a separate tool. This "scenario encapsulation" approach, prioritizing the shortest path for users to get work done, contrasts with the "underlying capability" focus of Codex and Claude, which offer more flexibility but require more technical setup. Analysts confirm WorkBuddy's leading market position in China by mid-2026, with massive user and request growth following its launch. Recognizing the same trend of surging non-technical adoption, OpenAI and Anthropic are now pivoting their products with features like role-based plugins (Codex) and a simplified desktop interface (Claude Cowork). However, adapting tools built for developers requires significant changes to interaction models and integrations. WorkBuddy currently holds an estimated six-month lead in delivering a complete solution for non-technical office users. Its recently launched enterprise version aims to solidify this advantage. The competition underscores two valid paths: embedding agent capabilities directly into familiar work environments versus building powerful, general-purpose agents that users must learn to access. WorkBuddy's early success demonstrates the effectiveness of the former strategy for mainstream office adoption.

marsbit5m ago

With Daily Active Users Reaching 3-4 Times That of the Industry's Second Place, Which Crack in the Office Agent Market Has Tencent's WorkBuddy Torn Open?

marsbit5m ago

Bitcoin Mining Farm Transforms into AI Data Center: Sangha's 'Sell-Out' Decision

"Sangha, a cryptocurrency mining company, is considering selling its recently operational Genesis bitcoin mining facility in Texas. Despite being profitable due to low-cost power (approximately $32/MWh), the company is exploring a sale, joint venture, or strategic partnership, advised by Marathon Capital. The core value of the 19.9MW site lies not in the mining hardware but in its established, scalable power infrastructure—a direct connection to a 180MW solar farm with plans to expand to 110.4MW. This makes it an attractive, ready-to-use asset for AI or high-performance computing (HPC) companies seeking to avoid lengthy permitting and grid connection processes. Sangha's move reflects a broader industry trend where mining operators are pivoting towards higher-value AI compute opportunities. The decision represents a strategic shift from building a long-term 'win-win-win' mining model to capitalizing on the current premium demand for AI-ready power and data center infrastructure."

marsbit36m ago

Bitcoin Mining Farm Transforms into AI Data Center: Sangha's 'Sell-Out' Decision

marsbit36m ago

Dalio's Latest Warning: Don't Get Carried Away by AI, Real Returns on US Stocks in the Next 5-10 Years Could Be -5% to -10%

Ray Dalio, founder of Bridgewater Associates, warns investors against excessive concentration in AI stocks. He argues the current market, dominated by a few AI giants, mirrors historical patterns where revolutionary new technologies lead to high risk, volatility, and uncertainty. While acknowledging AI's transformative potential, Dalio emphasizes that most investors fail at this stage of the cycle by over-concentrating in a handful of leading companies. He cites inherent risks: companies cannot accurately forecast investment needs or external shocks (e.g., monetary policy, geopolitics, taxes), face potential disruption from future technologies and international competition (notably from China), and experience significant price swings. Dalio's core advice is diversification, calling it his "Holy Grail of Investing." He presents a mathematical case that a well-diversified portfolio of 15-20 uncorrelated, good bets offers a superior risk-adjusted return compared to a concentrated position. Dalio also offers a cautious outlook, suggesting U.S. stocks may deliver real returns of -5% to -10% over the next 5-10 years based on valuation and bubble indicators. He concludes that in the face of high uncertainty, the prudent strategy is not to avoid betting entirely, but to avoid large, concentrated bets where one lacks sufficient informational edge. Instead, investors should build a strategically balanced, diversified portfolio.

marsbit1h ago

Dalio's Latest Warning: Don't Get Carried Away by AI, Real Returns on US Stocks in the Next 5-10 Years Could Be -5% to -10%

marsbit1h ago

Rain Valuation Approaches $20 Billion: The Battle for U-Cards Extends to Rewards Systems

Rain, a stablecoin payments infrastructure company, is shifting the competitive focus for U Cards from simple issuance to user retention and repeated usage. On June 15, Rain launched "Rain Rewards," an embedded loyalty program capability within its card-issuing infrastructure. This allows partner businesses—like fintech platforms and neobanks—to configure branded loyalty points, earning rules, redemptions, and merchant promotions directly within their card products. The system, built from the 2025 acquisition of Uptop, ensures points are only issued upon final transaction settlement, preventing liabilities from refunds. Trials, such as with Avalanche Card, reportedly boosted spending by 25% among enrolled users. Founded by Farooq Malik and Charles Yoo-Naut, Rain evolved from a tool for managing Web3 company expenses into a full-stack enterprise platform. It is a Principal Member of Visa and Mastercard, enabling partners to issue stablecoin-backed cards and wallets while leveraging traditional payment networks. Notably, the popular U Card Plasma One is issued by Rain under Visa's authority. Rain also integrates with Visa's stablecoin settlement pilot, using USDC for network settlement. Rain's rapid funding reflects growing institutional interest in stablecoin payment infrastructure. It raised a $245 million Series A in March 2025, a $58 million Series B in August 2025, and a $250 million Series C in January of this year, reaching a $19.5 billion valuation. Annualized transaction volume exceeds $3 billion, serving over 200 partners including Western Union and Nuvei. Beyond cards, Rain is expanding into programmable payments. Its June 2026 "Agent Control Layer" allows businesses to set spending rules—like merchant categories, amounts, and frequency—for AI agents before transactions occur. This positions Rain not as a single product but as an operating system for stablecoin payments, handling everything from card issuance and wallet management to rewards, on/off-ramps, and automated compliance. The goal is to enable seamless, often invisible, real-world spending of on-chain assets.

Foresight News1h ago

Rain Valuation Approaches $20 Billion: The Battle for U-Cards Extends to Rewards Systems

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2.9k Total ViewsPublished 2024.03.29Updated 2026.06.02

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