Weekly Token Unlocks: STRK Unlock Accounts for Approximately 4.6% of Circulating Supply

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

Abstract

This week's major token unlocks feature significant releases from Starknet and Kamino. **Starknet (STRK)** * **Unlocked Amount:** 127 million STRK * **Value:** ~$6.34 million USD * **Details:** Starknet is an Ethereum Layer 2 scaling solution utilizing zk-STARKs technology to enable faster and cheaper transactions. This unlock represents approximately 4.6% of its circulating supply. **Kamino (KMNO)** * **Unlocked Amount:** 12.5 million KMNO * **Value:** ~$13.63 million USD * **Details:** Kamino is an automated liquidity protocol built on the Concentrated Liquidity Market Maker (CLMM) mechanism, designed to improve capital efficiency for liquidity providers. It was incubated by Hubble Protocol. Both projects have provided their respective token release schedules.

Starknet

Project Twitter: https://twitter.com/Starknet

Project Website: https://starknet.io/

This Unlock Amount: 127 million tokens

This Unlock Value: Approximately $6.34 million

Starknet is an Ethereum Layer 2 that utilizes zk-STARKs technology to make Ethereum transactions faster and cheaper. StarkNet's parent company, StarkWare, was founded in 2018 and is headquartered in Israel. Its main products include Starknet and StarkEx. By using STARKs, Starknet verifies transactions and computations without requiring all network nodes to validate each operation. This significantly reduces the computational burden and increases the throughput of the blockchain network.

The specific release schedule is as follows:

Kamino

Project Twitter: https://x.com/kamino

Project Website: https://kamino.finance/

This Unlock Amount: 12.5 million tokens

This Unlock Value: Approximately $13.63 million

Kamino is an automated liquidity solution based on the Concentrated Liquidity Market Maker (CLMM) mechanism. Liquidity Providers (LPs) seeking to improve capital efficiency can utilize Kamino's automated market-making vaults to enhance the expected yield from fees and returns. Kamino was incubated by Hubble Protocol.

The specific release schedule is as follows:

How Much of the Subscription Fee You Pay to Claude Can Optical Module Companies Get?

How much of your $20 Claude Pro subscription actually goes to AI model companies like Anthropic? A viral breakdown image highlights the fundamental valuation challenge for AI applications versus traditional SaaS. Unlike SaaS with high software margins, AI subscriptions face variable "inference costs": every user query consumes GPU time, power, and cloud resources. This creates a tension between fixed subscription fees and usage-driven expenses. While the specific dollar splits are illustrative, the core question is whether AI revenue can achieve SaaS-like margins as usage scales. Currently, infrastructure providers (cloud platforms, GPU makers like Nvidia, HBM suppliers, power/data centers) capture more certain revenue from growing AI usage. Their financials reflect pricing power and faster earnings validation. The bullish case hinges on efficiency improvements: model optimization, caching, smaller models, and custom chips could lower per-token costs over time. The key debate is whether cost declines can outpace increases in user workload complexity and volume. Ultimately, for AI companies to command high SaaS-like valuations, they must demonstrate not just user growth but also improving gross margins after accounting for inference costs. Investors will scrutinize not just subscriber numbers, but usage patterns, enterprise pricing tiers, and real efficiency gains.

marsbit5m ago

How Much of the Subscription Fee You Pay to Claude Can Optical Module Companies Get?

marsbit5m ago

OpenAI's Hyperliquid Pre-IPO Pricing Venture: Why Did It Last Only Half a Year?

The article discusses the rise and fall of Pre-IPO pricing markets on the Hyperliquid blockchain. Trade.xyz, an anonymous team, successfully built the largest pre-market for SpaceX (SPCX) by launching a contract with a clear anchor: the eventual Nasdaq listing price. This provided inherent price stability and validation. In contrast, Ventuals, a team backed by Paradigm, failed despite holding exclusive contracts for highly sought-after companies like OpenAI and Anthropic. Its key mistake was its pricing mechanism. For companies with no near-term IPO date, Ventuals' oracle relied partly on opaque private market transactions and, critically, partly on its own contract's moving average price. This created a self-referential feedback loop where prices were artificially propped up and detached from genuine supply and demand, leading to illiquid markets. Ventuals shut down after nine months, settling positions at final prices of $1,341.80 for OpenAI and $1,618.90 for Anthropic. Ironically, some employees and late-stage investors of these very companies reportedly used these flawed Ventuals prices for valuation reference, highlighting the acute demand for any price signal in illiquid private markets. The article concludes that while demand for pre-IPO trading is real and growing, with players like Coinbase now entering the space, the fundamental challenge remains: without a public listing to provide a definitive price anchor, these markets struggle to establish truly accurate and liquid pricing. The need for a transparent, self-correcting market is the critical lesson from Ventuals' failure.

marsbit21m ago

OpenAI's Hyperliquid Pre-IPO Pricing Venture: Why Did It Last Only Half a Year?

marsbit21m 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

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.

marsbit29m 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

marsbit29m 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.

marsbit30m 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?

marsbit30m 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."

marsbit1h ago

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

marsbit1h ago

Trading

Spot

Futures

Hot Articles

How to Buy STRK

Welcome to HTX.com! We've made purchasing Starknet (STRK) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Starknet (STRK) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Starknet (STRK)After purchasing your Starknet (STRK), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Starknet (STRK)Easily trade Starknet (STRK) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

2.9k Total ViewsPublished 2024.03.29Updated 2026.06.02

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 STRK (STRK) are presented below.