Stacks стал лидером среди L2 по соцактивности

cryptonews.ruPublished on 2021-08-08Last updated on 2025-05-08

Stacks (STX) стал самым обсуждаемым решением 2-го уровня (Layer 2) на крипторынке, опередив всех конкурентов по социальной активности. По данным LunarCrush, STX занял 1-е место по росту числа упоминаний среди всех подобных проектов, включая такие платформы, как Arbitrum (ARB) и Mantle (MNT). Причем лидерство сохраняется уже несколько дней подряд, что свидетельствует о стабильном росте интереса к данной экосистеме.

Общее число социальных взаимодействий с контентом про STX превысило 400 тыс. Для сравнения, лидирующие блокчейны 1-го уровня, такие как SUI и S, в среднем получают от 2 млн до 3 млн. Однако в контексте Layer 2 это очень высокий результат. Анализ показал, что более 99% всей социальной активности вокруг Stacks приходится на платформу Twitter или X, которая остается главным источником обсуждений в криптосообществе.

Интересно, что несмотря на доминирование данной площадки, пользователи YouTube демонстрируют самый высокий уровень позитивного отношения к STX. Именно на этой платформе зафиксирована наибольшая доля бычьих настроений в обсуждениях Stacks. Общий уровень позитивных сообщений о STX составляет 86%, и за весь 2025 год он опускался ниже 80% лишь 2 раза.

Внутри экосистемы Stacks тоже наблюдается всплеск внимания к дочерним токенам. Наибольшее число упоминаний получают: sBTC, LEO, Welsh, Nothing Token и Flat Earth. Кроме того, по данным индекса AltRank, в который входят показатели социальной активности и рыночного поведения, высокие позиции также занимают ROO, Velar, Alex Lab, ABTC и Diko.

Существенный рост зафиксирован и по числу KOL’ов (лидеров мнений), публикующих контент о Stacks. На сегодняшний день более 800 создателей упоминают STX, и это число продолжает расти. Учитывая эти метрики, аналитики называют Stacks одним из главных претендентов на усиление позиций в сегменте Layer 2 в ближайшее время.

Ошибка в тексте? Выделите её мышкой и нажмите Ctrl + Enter

Trending Cryptos

Related Reads

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

This article explains the three primary methods for Codex to interact with a computer, each with distinct use cases, permission boundaries, and trust levels. **1. Computer Use:** This offers the broadest access, allowing Codex to visually control and interact with the graphical user interface of authorized macOS/Windows apps, system settings, and even iOS simulators. It's ideal for tasks lacking APIs or structured tools, such as operating legacy software or multi-app workflows. However, it's the slowest method and has the widest permission scope, requiring careful supervision for sensitive actions. **2. Chrome Extension:** This grants Codex access to the user's logged-in Chrome browser state, including cookies, profiles, and open tabs. It's best for tasks requiring user identity across websites like Gmail, LinkedIn, Salesforce, or internal dashboards. Its key advantage is multi-tab control for complex workflows. While more powerful for browser-based tasks than Computer Use, it carries higher sensitivity as actions are performed under the user's identity. **3. In-App Browser:** This is a browser isolated within the Codex thread, separate from the user's personal browsing data. It excels in web development and debugging scenarios—previewing local servers, testing responsive layouts, or annotating designs directly on the page. Its isolation is a strength for development but a limitation for tasks requiring login sessions. The core principle is to choose the narrowest, safest, and most structured interface for the task. Use plugins or MCPs first, resort to visual control (Computer Use) only for GUI-dependent tasks, employ the Chrome extension for identity-reliant browser work, and prefer the In-App Browser for isolated development. **Appshots** are clarified as a fourth, complementary tool for *inputting* context—capturing a screenshot of a window to point Codex to something—rather than a method for Codex to *act*. Together, this layered approach highlights a key to AI agent productization: not granting unlimited permissions, but constraining them within clear boundaries for specific tasks while preserving user oversight.

marsbit1h ago

How Does Codex Use a Computer? Three Entry Points and Permission Boundaries

marsbit1h ago

The "Iron Rule" of Chip Equipment Is Being Broken

For years, the semiconductor equipment industry followed an unwritten "iron rule": suppliers offered steep discounts for new tool introductions (Design-in) and faced consistent price pressure during repeat orders, especially during market downturns. This long-standing buyer's market dynamic is now being upended. Recently, SK Hynix's primary equipment suppliers have reportedly requested a 3-4% price *increase*, a nearly unprecedented move. This shift is driven by a severe supply-demand imbalance fueled by the AI compute boom. Securing equipment has become an urgent arms race as chipmakers' expansion speed dictates their ability to fulfill massive AI chip orders. Key areas feeling the strain include: **TCB (Thermal Compression Bonding) Equipment:** Demand is exploding, driven by the simultaneous needs of HBM4 memory stacking, AI chip Chip-on-Substrate (C2S), and logic Chiplet Chip-on-Wafer (C2W) packaging. Players like Hanmi Semiconductor, Hanwha Semitech, and ASMPT are receiving major orders. While hybrid bonding is seen as the future, TCB remains the pragmatic choice for HBM4 mass production, with its lifecycle extended by relaxed specifications and ongoing technological upgrades. **Test Equipment Bottlenecks:** Ironically, AI-driven shortages are now crippling test equipment manufacturing. Critical components like FPGAs, Driver ICs, and CPUs face severe shortages and extended lead times (up to 52 weeks for FPGAs), as AI data center and server vendors prioritize supply. This creates a paradoxical cycle: AI chip shortages drive fab expansion, which requires more test equipment, whose production is delayed because its key parts are diverted to make AI chips. The industry is entering a broad, AI-powered upcycle. SEMI forecasts global semiconductor equipment sales to hit a record $156 billion by 2027, fueled by investment in advanced logic/foundry, HBM-driven DRAM, and advanced packaging (like CoWoS). Major players like TSMC, SK Hynix, and Micron are aggressively ramping capital expenditure. In conclusion, leading equipment vendors are no longer just selling tools; they are selling the critical capability to deliver AI-era capacity. Pricing power is shifting decisively to those with indispensable technology in key process nodes like advanced logic, HBM, and advanced packaging, rewriting the industry's traditional power structure.

marsbit1h ago

The "Iron Rule" of Chip Equipment Is Being Broken

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of LAYER (LAYER) are presented below.

活动图片