ECR Minerals plc, a U.K.-based gold exploration company focused on Australian projects, announced on Aug. 7, 2025, that its board has formally adopted a bitcoin and digital asset treasury management policy. Gold Miner ECR Adopts Bitcoin Treasury Strategy Under the non-binding policy, ECR Minerals (LSE: ECR) intends to allocate up to 50% of its future
Blockchain Association CEO Summer Mersinger praised U.S. President Donald Trump’s newly signed executive orders on Thursday, calling them “a historic shift in how the U.S. treats digital assets and the innovators building in this space.” Summer Mersinger Praises New Executive Orders On August 7, Trump signed two executive orders: one permitting crypto and other alternative assets in 401(k) plans, and another penalizing banks for “debanking”—or denying customer service based on ideological reasons. Following the announcement, Mersinger issued a statement via the association’s official X account, calling the directives “landmark” actions. The following statement is attributed to Blockchain Association CEO @SKMersinger following today’s Executive Orders from @POTUS : pic.twitter.com/7QkUSESk7m — Blockchain Association (@BlockchainAssn) August 7, 2025 “Ending the discriminatory practice of debanking lawful crypto companies sends a clear message: the era of ‘reputation risk’ being used to justify financial exclusion is over,” Mersinger said. “At the same time, allowing Americans to include regulated, diversified crypto exposure in their 401(k) retirement accounts, the administration is expanding consumer choice and empowering individuals to responsibly build wealth using some of the best-performing assets of the past decade.” “We applaud this landmark action and whole-of-government approach to cement American leadership in financial innovation and protect the freedom of individuals and businesses to participate in the digital economy,” she added. Financial Access or Reputational Risk? Trump’s “debanking” order is largely seen as a win for financial access advocates, though critics have raised concerns over possible reputational risk issues. Meanwhile, crypto supporters view Trump’s 401(k) move as a step toward mainstream adoption of digital assets in the U.S. Trump has long campaigned on transforming U.S. financial policy, especially regarding blockchain technology . For example, He recently appointed businessman Paul Atkins to lead the United States Securities and Exchange Commission in an effort to establish a crypto-friendly regulatory agenda. Just last month, the U.S. Federal Housing Finance Agency (FHFA) Director Bill Pulte ordered Fannie Mae and Freddie Mac to explore how cryptocurrencies could factor into mortgage risk assessments. Trump’s latest executive actions mark another step in his broader push to reshape the U.S. financial system. The post Trump’s Executive Orders Mark A ‘Historic Shift,’ Blockchain Association CEO Summer Mersinger Says appeared first on Cryptonews .
The brothers invested an undisclosed amount in American Bitcoin, the mining company co-founded by two of Trump's sons and others.
BitcoinWorld Decoding the Future: Why AI Coding Startups Grapple with Unprecedented Costs For those immersed in the fast-paced world of cryptocurrency, the narrative of rapid innovation, sky-high valuations, and sudden market corrections is all too familiar. Now, a similar story is unfolding in the equally dynamic realm of artificial intelligence, particularly among AI coding startups . While the promise of AI assistants revolutionizing software development is immense, a closer look reveals a challenging economic reality: many of these seemingly booming ventures are grappling with massive expenses and razor-thin, often negative, margins. This parallels the infrastructure costs and scaling challenges seen in blockchain networks, where the underlying technology can be incredibly resource-intensive, impacting profitability despite high demand. The Alarming Reality of High LLM Costs The core of the financial struggle for many AI coding startups lies in the prohibitive LLM costs . Large Language Models (LLMs) are the engines powering these sophisticated coding assistants, enabling them to generate code, debug, and understand complex programming queries. However, utilizing these cutting-edge models comes with a hefty price tag, impacting the very viability of these businesses. Consider the case of Windsurf, an AI coding startup that, despite attracting significant venture capital interest and achieving a valuation of nearly $3 billion, found itself in a precarious financial position. Insiders revealed that Windsurf, and many “vibe coders” in general, operated with “very negative” gross margins. This means the cost to run their product exceeded the revenue generated, a critical red flag for any business. Why are these costs so high? Inference Costs: Each time an AI coding assistant processes a user’s request – whether it’s generating a line of code or suggesting a fix – it incurs an “inference cost” for querying the underlying LLM. These costs accumulate rapidly, especially with a growing user base. Model Sophistication: The market demands the most recent and advanced LLMs. Model makers like OpenAI and Anthropic constantly fine-tune their latest models for improvements in coding and debugging. To remain competitive, AI coding startups are pressured to adopt these newer, often more expensive, models. Computational Resources: Running and accessing these large models requires immense computational power, often leased from cloud providers, adding another layer of significant expense. Nicholas Charriere, founder of Mocha, a vibe coding startup, bluntly stated, “Margins on all of the ‘code gen’ products are either neutral or negative. They’re absolutely abysmal.” He suggests that the variable costs across these startups are remarkably similar, indicating a systemic challenge rather than isolated incidents. Navigating the Fierce Landscape of AI Development Beyond the internal burden of LLM costs , AI coding startups face an intensely competitive market. This environment, ripe with rapid AI development and constant innovation, forces companies to spend heavily to keep pace, further eroding margins. Key competitors include: Established Tech Giants: Companies like GitHub CoPilot (backed by Microsoft) and Anysphere Cursor already boast massive user bases and significant resources, making it difficult for smaller startups to gain market share. LLM Providers as Competitors: OpenAI offers Codex, and Anthropic offers Claude Code. These model makers are not just suppliers; they are increasingly direct competitors, leveraging their foundational technology to offer their own coding assistants. This creates a precarious dependency for startups, as their suppliers can also become their biggest rivals. This dual role of model providers puts startups in a difficult position. As one insider noted, “It’s a very expensive business to run if you’re not going to be in the model game.” The Build vs. Buy Dilemma in AI Development One seemingly straightforward path to improving margins for AI coding startups is to build their own proprietary LLMs, thereby cutting out the cost of paying external suppliers. This strategy offers potential benefits: Cost Control: Eliminating supplier fees could significantly reduce operational expenses in the long run. Customization and Differentiation: A custom model can be tailored precisely to the startup’s specific use cases and user needs, potentially offering a unique competitive edge. Reduced Dependency: Less reliance on external providers mitigates the risk of those providers becoming direct competitors or raising prices unexpectedly. However, this path is fraught with its own set of challenges and immense investment: Enormous Expense: Training a state-of-the-art LLM requires colossal computing power, vast datasets, and a team of highly specialized AI researchers and engineers. This is an undertaking that can cost hundreds of millions of dollars. Time and Expertise: It takes significant time and a deep pool of talent to develop, fine-tune, and maintain a competitive LLM. Risk of Obsolescence: The pace of AI development is so rapid that a custom model could become outdated quickly if not continuously updated and improved. Windsurf’s co-founder and CEO, Varun Mohan, ultimately decided against building their own model due to the prohibitive costs. In contrast, Anysphere, the company behind Cursor, has publicly announced its intention to develop its own model, even attempting to hire key personnel from Anthropic’s Claude Code team. This highlights the diverging strategies and the high stakes involved in this crucial decision. The Volatility of Tech Innovation and Venture Capital The rapid cycles of tech innovation and the accompanying fluctuations in venture capital interest add another layer of complexity for AI coding startups . High valuations can quickly give way to difficult funding rounds or even sales, reflecting the underlying economic pressures. Windsurf’s journey is a prime example. After talks of a $2.85 billion funding round led by Kleiner Perkins fell through, the startup planned to sell itself to OpenAI for a similar valuation. While that deal also famously collapsed, the motivation to sell was clear: to secure a high return before the company’s financial structure, burdened by negative margins, could undermine its value. The eventual outcome for Windsurf saw its founders and key employees joining Google, resulting in a significant payout for shareholders, while the remaining business was acquired by Cognition. This complex exit strategy, while criticized by some for leaving employees without roles, was reportedly designed to maximize outcomes for all involved, underscoring the tough choices founders face in this high-stakes environment. Pricing Challenges and Customer Loyalty in AI Services For startups like Anysphere, even with a popular product like Cursor, managing LLM costs and maintaining profitability is a constant balancing act. The desire to pass on costs to users can backfire, impacting customer loyalty in a highly competitive market. Anysphere recently adjusted its pricing structure, particularly for its most active users, to reflect the increased costs of running Anthropic’s latest Claude model. This move, which surprised some users of the $20-per-month Pro plan, led to an apology from CEO Michael Truell for unclear communication. This incident highlights a critical dilemma: Cost Recovery vs. User Retention: How much can a startup charge before users seek cheaper alternatives? Transparency in Pricing: Users expect clarity, especially when additional charges appear. Despite Cursor reaching an impressive $500 million in ARR by June, investors caution that user loyalty might not be absolute. If a competitor develops a superior or more cost-effective tool, even popular applications could see user churn. This constant threat forces startups to innovate rapidly while carefully managing their financial models. What Does This Mean for Broader AI Development? The struggles faced by AI coding startups , a sector generating hundreds of millions in revenue annually and among the fastest-growing applications of LLMs, raise significant questions for the broader landscape of AI development and tech innovation . If even this popular and revenue-generating sector has difficulty building sustainable businesses on top of foundational model makers, what does it imply for other, more nascent AI industries? Many emerging AI applications across various sectors – from healthcare to finance, creative arts to logistics – are similarly reliant on expensive LLMs or other complex AI models. Their profitability and long-term viability could face similar pressures. The hope for many in the industry, including venture capital investors like Eric Nordlander of Google Ventures, is that “the inference cost today, that’s the most expensive it’s ever going to be.” The expectation is that technological advancements and increased competition among model providers will drive down these costs over time. Indeed, OpenAI’s introduction of GPT-5 with significantly lower fees than Anthropic’s Claude Opus 4.1 offers a glimmer of hope. Anysphere’s immediate adoption of GPT-5 for Cursor users demonstrates the industry’s quick response to cost-saving opportunities. However, it’s not entirely clear if costs will consistently fall. Some of the latest, most advanced AI models have seen costs rise, as they require more computational resources for complex, multi-step tasks. The future trajectory of LLM costs remains a critical variable for the entire AI ecosystem. Conclusion: Navigating the AI Gold Rush The journey of AI coding startups like Windsurf and Anysphere offers a compelling, if cautionary, tale about the current state of AI development and tech innovation . While the demand for AI coding assistants is undeniable, the underlying economic model, heavily burdened by LLM costs and intense competition, presents formidable challenges. Success in this arena will likely hinge on a delicate balance: the ability to secure significant venture capital , strategically decide between building or buying foundational models, innovate rapidly to stay ahead of competitors, and manage pricing with extreme care to retain a loyal user base. The future of AI will depend not just on technological breakthroughs, but on sustainable business models that can withstand the immense financial pressures of this new era. To learn more about the latest AI market trends, explore our article on key developments shaping AI models and their institutional adoption. This post Decoding the Future: Why AI Coding Startups Grapple with Unprecedented Costs first appeared on BitcoinWorld and is written by Editorial Team
The Winklevoss twins, Cameron and Tyler, have reportedly invested in American Bitcoin Corp., a new crypto mining company tied to Eric Trump and Donald Trump Jr., according to a report by Bloomberg . The venture, backed by a private placement, combines assets from Hut 8 Corp. and an entity linked to the Trump sons. The exact size of the Winklevoss twins’ investment was not disclosed, but Asher Genoot, CEO of Hut 8, confirmed it was part of a recently closed private placement. JUST IN: BILLIONAIRE INVESTORS CAMERON & TYLER WINKLEVOSS INVEST IN TRUMP-BACKED MINER AMERICAN #BITCOIN MINING ABOUT TO GO MAINSTREAM. HUGE pic.twitter.com/6ImUhRKBy1 — The Bitcoin Historian (@pete_rizzo_) August 7, 2025 That round reportedly raised about $220 million in a mix of cash and Bitcoin. Genoot described it as “oversubscribed” during the company’s latest earnings call. American Bitcoin Corp Targets Public Listing With Winklevoss Investment and Trump Ties American Bitcoin Corp. launched in March through a partnership with publicly traded miner Hut 8, which currently holds an 80% stake in the venture. The remaining 20% is controlled by American Data Centers, a firm backed by Eric Trump and Donald Trump Jr. Eric Trump serves as the chief strategy officer of the company. He is also expected to see his equity stake rise in value when the company goes public, with Bloomberg previously reporting it could be worth as much as $367 million. American Bitcoin has announced plans to go public via an all-stock merger with Nasdaq-listed Gryphon Digital Mining Inc. The merged entity is expected to trade under the ticker symbol “ABTC.” The transaction is targeted to close by early September, pending shareholder approval. Shareholders of Gryphon began voting this week on the proposed merger. If approved, American Bitcoin will emerge as a new player on the Nasdaq with a focus on building a strategic Bitcoin reserve through its mining operations. American Bitcoin plans to build up a reserve of mined Bitcoin, positioning itself as both a mining and holding firm. The twins, who run Gemini Exchange and have long been vocal supporters of Bitcoin, made their contribution in BTC, according to the same report. A Gemini spokesperson declined to comment. The investment also indicates a deepening alignment between the Trump family and the Winklevoss twins. The twins have previously donated to Donald Trump’s campaign and were seen at a crypto summit hosted at the White House in March. They also attended the signing of recent crypto legislation, part of broader industry engagement with policymakers. While the merger still requires shareholder approval, Genoot said the firm expects the transaction to close on schedule. “We believe this structure gives us the scale, capital, and leadership to build something that can stand at the center of American crypto mining,” he said. As of now, American Bitcoin’s next step is completing its public listing under the ABTC ticker. If successful, it will become one of the most politically connected mining firms in the country, backed by some of the most recognizable names in both crypto and American politics. American Bitcoin Leverages $220M Raise to Expand Strategic BTC Mining Footprint On July 1, American Bitcoin announced it had raised $220 million, which marked a major move in its mining ambitions. The venture was launched with a focus on large-scale Bitcoin mining and building strategic BTC reserves. Trump son Eric Trump-backed American Bitcoin intends to use the net proceeds from $220 million raised in a new share issuance to fund for Bitcoin equipment purchase. #EricTrump #AmericanBitcoin #Hut8 https://t.co/23zTABD4tb — Cryptonews.com (@cryptonews) July 1, 2025 A recent filing by Hut 8 Corp. confirmed that a portion of the funds had already been deployed. Specifically, around $10 million worth of newly issued equity was sold for Bitcoin instead of dollars, hinting at a deeper accumulation strategy. Donald Trump Jr. previously noted that mining, not just holding Bitcoin, would play a major role in the broader opportunity the asset represents, especially when economic conditions support it. While American Bitcoin ramps up, the broader mining sector is still shaped by China’s deep-rooted legacy in the space. Despite Beijing’s 2021 crackdown, the Chinese capital and manufacturing continue to dominate hardware supply chains. Companies like Bitmain and MicroBT, which once led domestic mining operations, have since shifted production to the U.S., contributing to America’s rise from 4% to 38% share in global hashrate. Meanwhile, Bitcoin mining difficulty, a key indicator of network competition, has fluctuated in recent weeks. Bitcoin mining difficulty reached a new all-time high of 127.6 trillion on August 2, but it is expected to decline slightly in the next adjustment on August 9. Estimates suggest a 3% drop to around 123.7 trillion, with average block times currently at 10 minutes and 20 seconds, according to CoinWarz . Source: CryptoQuant CryptoQuant data show mining difficulty dropped in late June and the first half of July, reaching a low of 116.9 trillion. However, the trend reversed in late July as difficulty resumed its upward trajectory. As mining economics tighten and competition intensifies, players like American Bitcoin are positioning to benefit from both accumulation strategies and the physical infrastructure that underpins Bitcoin’s network. The post Winklevoss Twins Back Trump Brothers’ Bitcoin Mining Empire – Bloomberg appeared first on Cryptonews .
BitcoinWorld Core Scientific Buyout: Crucial Shareholder Opposition Rocks $9 Billion CoreWeave Deal The cryptocurrency world is currently buzzing with a significant development that could reshape the landscape for a major player. The proposed Core Scientific buyout by CoreWeave, an ambitious $9 billion offer, has encountered a formidable obstacle due to crucial shareholder opposition . This unfolding situation highlights the complex dynamics at play within the rapidly evolving digital asset and artificial intelligence sectors. What’s Stirring the Pot in the Core Scientific Buyout? A powerful and unexpected voice has emerged against the proposed deal: Two Seas Capital. This firm isn’t just any investor; it stands as Core Scientific’s largest active shareholder, holding a substantial 6.5% stake. They have made their intentions unequivocally clear, publicly announcing their firm decision to vote against the CoreWeave acquisition offer . Why such strong opposition? According to reports, Two Seas Capital firmly believes the $9 billion offer significantly undervalues Core Scientific. They argue that the terms of the deal unfairly favor CoreWeave, potentially shortchanging existing Core Scientific shareholders and their investment. Why the Shareholder Opposition to This CoreWeave Acquisition? This isn’t merely a disagreement over the purchase price; it’s about perceived fairness and strategic value. Two Seas Capital’s bold stance underscores a critical principle: shareholders expect to receive fair value for their investments. For a prominent crypto mining firm like Core Scientific, which boasts extensive infrastructure and significant future potential, an offer deemed undervalued can indeed trigger robust reactions. The firm specifically points out that the deal disproportionately benefits CoreWeave. This allows CoreWeave to rapidly expand its crucial AI data center capacity at what Two Seas Capital considers a bargain price. Such a move, if unchecked, could dilute the value for existing Core Scientific stakeholders. Interestingly, the market reacted positively to this news. Following the letter announcing Two Seas Capital’s opposition, Core Scientific shares experienced a noticeable bump, rising 3% to $14.38. This immediate increase suggests that at least some investors agree with the “undervalued” sentiment, signaling potential for a higher offer. Impacts on the Crypto Mining Industry and AI Data Center Growth This contested acquisition carries broader implications beyond just the two companies directly involved. Core Scientific holds a significant position as a leading crypto mining firm , meaning its future direction could influence trends across the entire crypto mining industry. CoreWeave’s strategic interest with this CoreWeave acquisition was primarily driven by its ambition to substantially expand its AI data center capacity —a vital resource in the booming artificial intelligence sector. The convergence of crypto mining operations and AI data centers is becoming increasingly evident. Many large-scale crypto mining facilities possess robust energy infrastructure, advanced cooling systems, and substantial land, which can be repurposed or optimized for the demanding requirements of high-performance computing, directly boosting AI data center capacity . This proposed buyout, therefore, highlights a burgeoning trend of synergy between these two technologically intensive fields. Navigating the Core Scientific Buyout: What Happens Next? With a major shareholder expressing such strong shareholder opposition , the path forward for the Core Scientific buyout becomes notably uncertain. Here’s what stakeholders might anticipate: Revised Offer: CoreWeave may find it necessary to sweeten its offer, proposing a higher valuation or more favorable terms to gain the necessary shareholder approval. Proxy Contest: Two Seas Capital could potentially rally other shareholders, initiating a proxy fight to vote down the current deal. Strategic Rethink: If the acquisition ultimately fails, CoreWeave might explore alternative strategies to expand its AI infrastructure, possibly through organic growth or other partnerships. Market Volatility: Core Scientific shares are likely to remain volatile as the situation unfolds, reflecting ongoing investor uncertainty and speculation about the deal’s outcome. This situation serves as a compelling real-world example of how active shareholder engagement can significantly shape the trajectory of major corporate deals. It is a powerful reminder that even multi-billion dollar acquisitions are subject to the careful scrutiny and ultimate approval of those who hold a financial stake in the company’s future. The unfolding drama surrounding the Core Scientific buyout is a fascinating narrative for anyone tracking the intersection of cryptocurrency, artificial intelligence, and corporate finance. It powerfully underscores the critical importance of transparent valuations and how strong shareholder opposition can lead to re-evaluation in executing significant business transactions. We will continue to monitor this developing story closely, bringing you the latest updates as they emerge. Frequently Asked Questions (FAQs) Q1: What is the primary reason for the Core Scientific buyout opposition? A1: Two Seas Capital, Core Scientific’s largest active shareholder, opposes the deal primarily because they believe CoreWeave’s $9 billion offer significantly undervalues Core Scientific and disproportionately favors CoreWeave. Q2: Who is CoreWeave, and what is their goal with this CoreWeave acquisition? A2: CoreWeave is a specialized cloud provider for AI and machine learning. Their goal with the proposed CoreWeave acquisition of Core Scientific is to significantly expand their AI data center capacity , leveraging Core Scientific’s existing infrastructure. Q3: How might this shareholder opposition impact Core Scientific’s stock? A3: Following the announcement of shareholder opposition , Core Scientific shares initially rose by 3%, suggesting that some investors agree with the undervaluation claim and anticipate a potentially higher offer or the deal’s failure. Q4: Is Core Scientific primarily a crypto mining firm or an AI data center provider? A4: Core Scientific is primarily a crypto mining firm . However, its robust infrastructure and energy capacity make it an attractive target for companies like CoreWeave looking to expand their AI data center capabilities. Q5: How does the acquisition relate to AI data center capacity? A5: The proposed acquisition is a strategic move by CoreWeave to leverage Core Scientific’s extensive infrastructure and power capabilities to rapidly boost its AI data center capacity , meeting the growing demand for high-performance computing in artificial intelligence. If you found this insight into the Core Scientific buyout and the unfolding shareholder opposition valuable, consider sharing this article! Your shares help us bring more crucial updates and analysis to a wider audience interested in crypto, AI, and market dynamics. Spread the word! To learn more about the latest crypto market trends, explore our article on key developments shaping the future of crypto mining and AI infrastructure . This post Core Scientific Buyout: Crucial Shareholder Opposition Rocks $9 Billion CoreWeave Deal first appeared on BitcoinWorld and is written by Editorial Team
Litecoin and Uniswap are on the cusp of major movements this week. Chart formations suggest critical junctures for both cryptocurrencies. Traders and investors should pay close attention, as significant gains or losses could emerge. Is this the time for growth, or will market pressures send prices tumbling? Get the latest insights and predictions here. Litecoin Surges: Key Price Levels Highlighted for Traders Over the past month, Litecoin experienced a strong surge with prices climbing nearly 40%, while a look over the past six months shows a steady gain of around 17%. Price action highlights periods of rapid rises mixed with regular pullbacks, reflecting a market that is both active and resilient. Fluctuations have provided opportunities for traders during bursts of buying pressure and moments of consolidation. Historical performance suggests that Litecoin has managed to balance volatility with sustained upward momentum, allowing both short-term speculators and longer-term investors to find entry points over time. Current pricing places Litecoin within an active range from roughly $85 to $125, where key levels clearly stand out. The nearest support rests at about $63.72, while resistance appears first at $143.51, with an additional layer at $183.40. The coin shows mixed signals as the RSI hovers near 67, suggesting some overbought conditions even though the overall trend remains undefined. Bulls have pushed prices upward recently, but the lack of a clear breakout pattern means caution is warranted. Trading ideas include accumulating near lower support levels and watching for a decisive momentum burst to test the $143 level. Uniswap Price Action: Recent Momentum and Key Levels Uniswap experienced a substantial price jump of nearly 31% over the last month and a moderate gain of 7.7% over the past six months. Price fluctuations between $6.68 and $11.87 reflect a period of active movement, with a slight weekly decline of about 3.3% indicating minor pullbacks amid overall gains. Historical performance shows that traders have reacted dynamically to market shifts, resulting in a volatile yet upward-trending environment over these intervals. Currently, Uniswap trades within the range bounded by $6.68 at the low and $11.87 at the high, facing resistance at $14.37 and support at $4.00. A further resistance level appears at $19.56, which could lead to bullish activity if surpassed. Market indicators present a mixed situation: the Awesome Oscillator at 0.158 suggests some upward pressure, while a negative momentum of -0.720 and an RSI near 52.67 indicate a balanced market. Bulls lack a clear dominance, and bears maintain pressure, suggesting no strong trend. Trading strategies should consider entering positions near support and monitoring movements toward resistance at $14.37, with stop losses set below support to mitigate risks. Conclusion LTC and UNI are at crucial points. Their upcoming price moves are critical. Both coins have shown clear patterns that suggest significant changes. Traders should watch these patterns closely. How these coins perform this week could set the tone for future movements. The next few days are vital for both LTC and UNI. Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.
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SharpLink just locked in $200 million in a direct offering led by four global institutional giants. Each share sold at $19.50. No middlemen. No fluff. Just a straight bet on the future of Ethereum. And that’s exactly where the money’s going, ETH. This raise powers SharpLink’s Ethereum treasury, now on track to surpass $2 billion once fully deployed. The mission? Accumulate ETH. Stake ETH. Grow ETH-per-share. NEW: SharpLink raises $200M in a direct offering led by four global institutional investors at $19.50/share This capital will be used to expand our Ethereum treasury, expected to surpass $2B upon full deployment At SharpLink, our mission is simple: Accumulate ETH. Stake ETH.… pic.twitter.com/ABv7CH9Cqt — SharpLink (SBET) (@SharpLinkGaming) August 7, 2025 Ethereum isn’t just a blockchain anymore. It’s becoming the core layer of global finance. A programmable engine of trust. A new infrastructure that replaces banks and auditors with cryptography and code. According to Etherscan, Ethereum processed 1.87 million transactions yesterday. Just shy of its all-time high of 1.96 million in January 2024. The spike comes from stablecoin flows, USDC, Tether and DEX activity on Uniswap, says Nansen. According to Etherscan, Ethereum recorded 1.87 million transactions yesterday, nearing the all-time high of 1.96 million set in January 2024. Nansen attributes the surge to activity from USDC, Tether, and Uniswap. DappRadar notes that ETF approvals and the GENIUS Act have boosted… — Wu Blockchain (@WuBlockchain) August 7, 2025 Add the GENIUS Act and recent ETF approvals to the mix, and on-chain confidence is roaring back. DappRadar confirms the trend: new users, higher volume, stronger conviction. And SharpLink is riding right at the center of it. “We’re not here to flip tokens,” says the team. “We’re here to build exposure to Ethereum’s core value, the asset itself.” Ethereum ETH Reaction To This Accumulation ETH currently trades at $3,837.86 with a market cap of $463.27B, per CoinMarketCap. But it’s not just about holding. SharpLink stakes ETH. That generates yield. That compounds. That increases ETH-per-share over time. This isn’t a hype play. It’s a protocol-first strategy. Staking ETH secures the network and earns passive returns. The more ETH SharpLink controls and deploys, the more protocol-native income flows in. That strengthens the treasury. And every new share becomes a growing slice of the Ethereum economy. The structure is simple. The value is transparent. And the roadmap is locked in. ETH adoption is rising. Developers keep building. Institutions keep circling. Regulators are finally catching up. And while others chase narratives, SharpLink keeps stacking ETH. That’s the alpha. This raise? It validates the model. Global institutions don’t throw nine-figure checks around for nothing. They see what’s coming. They see Ethereum taking the lead. SharpLink is a direct way to own that upside. No need to custody tokens. No need to worry about bridges or wallets or slippage. Just exposure to pure, protocol-native value. As the world wakes up to crypto’s real use case, decentralized, verifiable finance, Ethereum stands front and center. It’s not a bet anymore. It’s a base layer. SharpLink knows that. And now it’s armed with $200 million more to prove it. Disclosure: This is not trading or investment advice. Always do your research before buying any cryptocurrency or investing in any services. Follow us on Twitter @nulltxnews to stay updated with the latest Crypto, NFT, AI, Cybersecurity, Distributed Computing, and Metaverse news !