初五迎财神！速览 Starknet 代币空投细则

foresightnewsPublished on 2024-02-14Last updated on 2024-02-14

Abstract

本次 Starknet 共发行超 7 亿枚 STRK，占总供应量 7%。

本次 Starknet 共发行超 7 亿枚 STRK，占总供应量 7%。


撰文：Peng SUN，Foresight News


2024 年 2 月 14 日对东西方来说都是一个好日子，西方情人节与中国农历「破五节」交汇。


大年初五迎财神，牛市初起，新春龙吟，Starknet 则选择在今日公布 Provisions 分配大纲，其表示将于 2 月 20 日 20:00 进行 STRK 代币分配。值此佳节，Foresight News 快速整理了 Starknet Provisions 细则，以便读者朋友们快讯查阅空投详情以及自己是否符合空投认领资格。


注：Starknet 代币发行计划称为「Provisions」，基金会并未使用「空投」一词。


空投详情


Starknet 代币 STRK 总供应量 100 亿枚，总分配额超 7 亿枚 STRK，占总供应量的 7%。此次 Starknet 代币发行约有 129.7 万个钱包符合分配资格，认领时间持续至 6 月 20 日（共 4 个月）。


Provisions 门户网站现已开放，任何人均可查看是否符合分配资格。用户可使用 Braavos、Argent 等 Starknet Wallet 认领代币。


代币分配细则


符合代币分配资格的用户包括：


（1）Starknet 用户、生态系统贡献者与开发者：

  • Starknet 建设者与用户可根据可核实的过往活动自动获得资格；
  • 2000 多名参与「早期社区成员计划」（ECMP）的用户，同时在分配标准中排名最高的用户将获得 18 万枚 STRK 代币分配；
  • 与 dYdX、ImmutableX、Rhinofi 和 Sorare 等由 StarkEx 驱动的 DApp 交互的用户；

（2）以太坊建设者与与质押者：

  • 包括 Protocol Guild 成员、EIP 作者与以太坊开发者将有资格获得分配；
  • 以太坊信标链创世前后的个人质押者以及以太坊流动性质押代币用户也将有资格认领；

（3）非 Web3 开源开发者：将根据 GitHub 贡献分配。


具体分配详情：


  • 51.33% 代币分配给 506,896 名 Starknet 用户
  • 9.05% 分配给 2098 名 Starknet ECMP 成员
  • 2.14% 分配给 1540 名 Starknet 开发者
  • 9.62% 分配给 622,996 名 StarkEx 用户
  • 0.22% 分配给 160 名以太坊 Protocol Guild 成员
  • 3.36% 分配给 13,432 名以太坊开发者
  • 0.19% 分配给 695 名 EIP 作者
  • 21.99% 分配给 19,006 名 ETH 质押者
  • 2.12% 分配给 137,256 名 GitHub 开源开发者。



STRK 认领规模：


1、Starknet 用户：

  • 符合下方基础条件的单个 Starknet 用户最多可获得 500 至 10000 枚 STRK；
  • Starknet 开发者可获得 10000 枚 STRK；
  • Starknet 早期社区成员可获得 10,000 至 180,000 枚 STRK；


2、以太坊开发者：

  • 信标链创世前的 Solo 质押者每个验证节点可获得 3600 枚 STRK；
  • 信标链创世后 Solo 质押者每个验证节点可获得 1800 枚 STRK；
  • 每个 Protocol Guild 成员可获得 10000 枚 STRK；
  • 每个 EIP 作者可获得 2000 枚 STRK；
  • 每个以太坊开发者可获得 1800 枚 STRK；
  • 每个流动性池或 CEX 中的验证节点可获得 360 枚 STRK；


StarkEx DApp


  • 每位使用 dYdX、ImmutableX、Rhinofi 或 Sorare 的用户可认领 111.1 枚 STRK。



空投资格与积分规则


基础条件


（1）至少在 3 个月内使用过 Starknet

（2）进行至少 6 笔交易

（3）累计交易额至少 100 美元

（4）2023 年 11 月 15 日快照前钱包中至少有 0.005 枚 ETH


若上述条件均满足，即可获得 1 分，该 1 积分可获得 500 枚 STRK 代币。


额外条件


1、在 7 至 10 个月内使用过 Starknet 的用户可获得 1 分；使用 Starknet 至少 11 个月的用户可获得 2 分。


2、累计交易额：在 7000 至 3.5 万美元之间的用户可额外获得 1 分；累计交易额超 3.5 万美元的用户可额外获得 2 积分。


3、交互合约数：20 至 39 之间可获得 1 分，40 及以上的可额外获得 2 分。


积分与代币分配


  • 1 分 = 500 枚 STRK
  • 2 分 = 650 枚 STRK
  • 3 分 = 850 枚 STRK
  • 4 分 = 1200 枚 STRK
  • 5 分 = 1800 枚 STRK
  • 6 分 = 3600 枚 STRK
  • 7 分 = 10000 枚 STRK



此外，Starknet 还表示，Provisions 是支持 Starknet 生态系统的几项计划之一，未来还将有更多 Provisions 公布，同时目前与未来的 Provisions 将排除那些将网络游戏化或刷代币分配的钱包。

Related Reads

XRP Reversal Setup Forms Around Harmonic Pattern And Key Support Zone

XRP is trading at a critical technical support zone, according to a June 20 TradingView analysis. This area combines multiple layers of confluence, including the 0.618 Fibonacci retracement level and the point of control for the current range. Such convergence can intensify the battle between buyers and sellers at this level. The analysis suggests this support could form the basis for a broader harmonic reversal pattern. While not a guarantee, such setups provide a structured framework for identifying potential trend changes, invalidation points, and price targets. For the reversal thesis to gain credibility, XRP needs a decisive bullish reaction from this zone—specifically, a sustained bounce with volume that reclaims nearby resistance, not just a brief wick. Failure to hold support or repeated tests of the area would weaken the bullish argument. The setup is notable but requires confirmation from market price action.

bitcoinist1h ago

XRP Reversal Setup Forms Around Harmonic Pattern And Key Support Zone

bitcoinist1h ago

Vitalik's Algorithmic Stablecoin Vision: Interpreting the Mechanism and Challenges from an Options Perspective

Vitalik Buterin's recent algorithmic stablecoin proposal envisions using an option-like mechanism to create a stablecoin without the liquidation risks inherent in traditional collateralized debt position (CDP) models. The design splits one unit of ETH into two components: a 'stable' leg (P) that maintains value up to a certain strike price, and an 'upside' leg (N) that captures any appreciation above that price. Together, they always sum to one ETH, eliminating the need for debt or liquidation mechanisms. From an options perspective, the stable leg essentially functions as a synthetic, covered call position. However, significant challenges exist. For the stable asset to maintain its peg, it must continuously roll deep in-the-money call options, leading to potential rollover slippage, predictable trading paths vulnerable to front-running, and liquidity issues. Crucially, the system's scalability depends on a constant demand for the upside leg—a form of leveraged ETH long position without funding rates or liquidation risk. It's unclear if such persistent, specific demand will materialize from speculators or market makers who have simpler alternatives like perpetual swaps. The author, drawing from experience with Rysk, argues that DeFi options have struggled as standalone trading products due to complexity and fragmented liquidity. Their potential lies instead as foundational infrastructure underpinning more complex financial primitives like stablecoins, structured yields, or index products—transforming from a direct product into a core pricing and risk distribution engine for the next generation of on-chain finance.

marsbit1h ago

Vitalik's Algorithmic Stablecoin Vision: Interpreting the Mechanism and Challenges from an Options Perspective

marsbit1h ago

SpaceX, AI, and XRP: Why the Next Wealth Transfer Might Be Different?

The article posits that the global economy is transitioning into a new phase of infrastructure investment. Capital, facing slowing traditional growth engines, is flowing towards emerging foundational systems. This includes space infrastructure (exemplified by SpaceX), AI computing power, satellite networks, data centers, and global payment systems. A key driver is a potential new commodity supercycle fueled by industrial demand from these sectors. Concurrently, the role of blockchain is evolving from speculative assets to a critical settlement layer for the future economy. Digital assets like XRP and XLM, focused on payments and interoperability, are highlighted as potential rails for cross-border settlement, tokenized assets, and machine-to-machine (AI Agent) transactions. The narrative connects figures like Ripple's Jed McCaleb to space ventures, suggesting convergence. The argument emphasizes a shift from speculative narratives to utility-driven value. As AI and space commerce generate new economic activity, and regulatory clarity improves, blockchain networks may underpin real-time value transfer. The conclusion urges investors to consider which networks will form the backbone of this integrated next-generation economic infrastructure.

marsbit2h ago

SpaceX, AI, and XRP: Why the Next Wealth Transfer Might Be Different?

marsbit2h ago

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbit4h ago

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbit4h ago

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbit4h ago

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbit4h ago

Trading

Spot
Futures
活动图片

Hot Categoriesright-arrow

Hot Tagsright-arrow