Roam has launched an Enterprise eSIM, a customizable management dashboard to empower Web3 teams in cross-border collaboration.

According to Farside's monitoring, US spot Bitcoin ETFs saw a net outflow of $185.4 million yesterday, marking the seventh consecutive trading day of large net outflows.

Erik Voorhees(@ErikVoorhees), an early #Bitcoin supporter and founder of ShapeShift, spent 4.75M $USDT to buy 2,504 $ETH at $1,896 in the past hour.

The #EthereumFoundation-linked wallet (0x5CBC) dumped another 1,000 $ETH($1.9M) an hour ago. Over the past 5 days, this wallet has sold 5,000 $ETH ($9.92M) at an average price of $1,983.5.

According to HTX market data, Bitcoin has rebounded to break through the $67,000 mark, with its 24-hour decline narrowing to 2.65%.

According to data from Alternative, today’s Crypto Fear & Greed Index dropped to 12, down from 20 yesterday. The market has remained in the "Extreme Fear" zone for multiple consecutive days, with sentiment hitting rock bottom. The cryptocurrency market is sentiment-driven: greed dominates during price rallies, while fear takes over when prices fall. In bull markets, investors often buy blindly due to FOMO (Fear Of Missing Out); in bear markets, they tend to sell irrationally out of panic. The Fear & Greed Index is designed to help people cut through emotional noise and view the market in a calmer, more rational, data-driven manner. Note: The index ranges from 0 to 100, with weighted components as follows: Volatility (25%), Market Volume (25%), Social Media Buzz (15%), Market Surveys (15%), Bitcoin’s Dominance (10%), and Google Trends Analysis (10%).

Beating AI News: LangChain announces a $300 million Series C funding round, bringing its valuation to $3 billion. The round was led by CapitalG, the investment arm of Google parent company Alphabet, with participation from Singaporean sovereign wealth fund GIC and other institutions. LangChain first gained prominence for its open-source AI development framework, which helps developers connect large language models (LLMs) to databases, search engines, and external tools. As model vendors launch their own agent development tools, these core functionalities have become increasingly easy to implement. LangChain has since focused on expanding its commercial platform, LangSmith. LangSmith primarily addresses the management challenges enterprises face after deploying AI agents in real-world operations. It tracks details such as which tools agents call, why they fail, how to fix errors, and how to restrict access to sensitive data and control model costs. Enterprises can also freely select models from different vendors without being locked into LangChain’s framework. LangChain states that over 7,000 organizations use LangSmith, including Nvidia, Toyota, and Salesforce. AI sales automation platform Clay monitors hundreds of millions of agent runs monthly via LangSmith. Enterprise HR and finance software giant Workday used LangChain’s tools to build its internal AI platform, cutting the time to develop a test-environment agent prototype from 4-5 months to less than a day. LangSmith also offers auto-improvement features that analyze agent run logs, identify errors, and generate suggestions for code and prompt modifications. Lead investor CapitalG disclosed that LangChain’s open-source projects have exceeded 350 million monthly downloads. However, LangChain has not disclosed its revenue figures, nor has it specified how many of the over 7,000 organizations are paying customers.