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Sweat Economy on NEAR Protocol Exploited, Draining 13.71B Sweat Tokens

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Sweat Economy, the move-to-earn project behind $SWEAT tokens, primarily on NEAR Protocol was exploited on April 29, 2026. An attacker exploited a vulnerability in the SWEAT token contract around 13:36 UTC. They drained approximately 13.71 billion SWEAT tokens roughly 65% of the total supply at the time from multiple Sweat Foundation and top holder accounts in about 30 seconds.

The attacker used a custom Rust-based drainer contract and routed funds through Ref Finance a major NEAR DEX and cross-chain bridges like Wormhole/Portal. Blockaid, a blockchain security firm detected and publicly flagged the exploit in real time, including the exploiter address and a key transaction.

The value of the drained tokens was estimated at around $2–3.5 million depending on the exact price at the moment of the attack. The team responded rapidly: They paused the token contract immediately. MEXC froze the attacker’s account, and Rhea Finance halted SWEAT trading to prevent liquidation.

As a result, all affected external user balances were restored. The protocol later deployed a patched contract. This is one of the rarer cases where most funds were recovered before the attacker could fully cash out, thanks to the pause functionality, quick coordination, and real-time alerts. User funds appear to have been restored for external accounts.

The team has stated they will file a law enforcement report and conduct a full forensic analysis and post-mortem. The exact root cause has not been publicly detailed yet in the sources. If you hold or interact with SWEAT on NEAR, check your wallet and revoke any unnecessary approvals for Sweat-related contracts.

Be cautious with older or less actively maintained projects — this incident highlights risks in ecosystems with emerging DeFi activity. This event is part of a broader wave of DeFi exploits in April 2026, but the fast mitigation here stands out compared to cases where funds were permanently lost.

The Sweat team has stated they will conduct a forensic review and publish one, along with filing a law enforcement report. The attack started around 13:36 UTC on April 29, 2026. Within roughly 30 seconds, the attacker drained approximately 13.71 billion SWEAT tokens, about 65% of the total supply at the time, valued at roughly $2–3.5 million depending on the spot price during the dump.

Multiple Sweat Foundation-controlled accounts and top holder accounts were emptied to zero. A vulnerability in the SWEAT token contract on NEAR; written in Rust, as is standard for NEAR smart contracts. The exact bug has not been disclosed publicly. It allowed rapid, unauthorized token transfers or balance manipulation and draining across many accounts.

The attacker deployed and used a custom Rust-based drainer contract. Blockaid identified a crate and module named exploit-resolve in the drainer, suggesting it was purpose-built for fast batch extraction and resolution and transfer of tokens. This enabled highly automated, near-instantaneous calls that targeted multiple high-balance accounts likely via some form of bulk transfer, approval abuse, or unauthorized mint/transfer logic in the vulnerable token contract.

Funds were then routed through Ref Finance for swaps and through cross-chain bridges such as Wormhole/Portal to move assets off NEAR and complicate tracking. Some early speculation suggested possible admin-key compromise or access to foundation-controlled accounts rather than a pure reentrancy, oracle and manipulation bug in user-facing logic. However, reports consistently describe it as a token contract vulnerability that the drainer exploited.

The response was unusually fast and effective for DeFi: The team immediately paused the token contract, halting further malicious transfers. They coordinated with MEXC which froze the attacker’s account and Rhea Finance which halted SWEAT trading/liquidity actions on NEAR. As a result, all affected external user balances were restored. A patched token contract was later deployed.

This pause functionality in the token contract was critical — many token exploits become irreversible without such admin controls. Root cause unknown publicly: It could involve access control issues, a logic error allowing unauthorized ft_transfer or similar calls, or compromised keys enabling the initial vector. The upcoming post-mortem should clarify this. User actions: Revoke approvals for any Sweat-related contracts via a NEAR explorer or wallet tools.

Be cautious with any unverified interactions involving older contracts. The incident highlights risks in token contracts that handle large supplies and have admin privileges, especially when combined with custom drainers built in Rust for NEAR’s environment. NEAR contracts benefit from Rust’s safety features, but access control and upgrade patterns remain common weak points if not audited rigorously.

Impacts of Pump.fun’s 36% Supply Burn and Upcoming Token Unlock

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PumpFun, the popular Solana-based memecoin launchpad, announced a major token burn and a new revenue-sharing model, which drove a quick positive price reaction in $PUMP.

Pump.fun permanently burned all the PUMP tokens it had repurchased over the past 9 months using 100% of its platform revenue. This totaled roughly $370 million worth of tokens, equating to 36% of the circulating supply. The burn was executed via on-chain transactions sending the tokens to a dead address.

Going forward, the platform will direct 50% of net revenue from bonding curve fees, PumpSwap, Terminal, etc. to an automated, programmatic buyback-and-burn mechanism via a locked, irreversible smart contract. The remaining 50% will fund operations, hiring, marketing, and longer-term growth initiatives; positioning Pump.fun beyond just memecoins toward broader tokenization.

This shift aims to rebuild community trust after earlier uncertainty around what the team was doing with bought-back tokens, while creating ongoing deflationary pressure on supply. $PUMP gained roughly 7% on the day of the announcement, with trading volume spiking significantly. It traded around the $0.0017–$0.0019 range post-move, still well below its all-time highs from mid-2025.

The move is classic deflationary tokenomics: a large one-time supply shock + a predictable, revenue-tied buy-and-burn flywheel. In theory, if Pump.fun maintains strong revenue; it has generated hundreds of millions cumulatively and continues seeing solid usage as a memecoin launchpad, this creates sustained buying pressure and reduces sellable supply.

Burning 36% of circulating supply is one of the larger single burns in recent memory. Hardcoding half the revenue into burns adds transparency and reduces team discretion risk. There’s mention of a sizable upcoming unlock, which could offset some of the scarcity effect if vested tokens hit the market. Pump.fun operates in the highly volatile, hype-driven memecoin space—platform usage and revenue can swing wildly with market sentiment.

Broader Solana and meme coin cycles still dominate price action. Pump.fun itself is a high-volume launchpad where anyone can create and trade tokens via bonding curves. Its native $PUMP token captures value from platform activity but has seen steep drawdowns since its 2025 launch/ICO.

Overall, this is a shareholder-friendly move that directly tackles supply concerns and aligns incentives with ongoing revenue. It explains the immediate 7% pop, though sustainability will depend on actual revenue generation and execution over the coming months. In crypto, big burns often spark short-term rallies—follow-through depends on fundamentals and market conditions.

36% of circulating supply permanently removed $370M worth at the time. Creates immediate scarcity and reduces selling pressure from previously accumulated tokens. PUMP gained ~6-10%; commonly reported as ~7% in the 24 hours following the announcement, trading volume spiked sharply. Token traded near $0.0018–$0.0019 post-move, still far below 2025 highs.

50% of net platform revenue from bonding curves, PumpSwap, Terminal now automatically buys and burns PUMP via an irreversible smart contract for at least the next year. Remaining 50% funds operations, hiring, marketing, and growth shifting from prior 100% burn model.

Aims to create sustained buying pressure tied to actual revenue; platform has generated over $1B cumulatively. Positive for rebuilding community confidence by burning held tokens instead of holding them and adding transparency and predictability. Signals Pump.fun is maturing beyond pure hype toward a sustainable business model.

Large upcoming token unlock ~$193M mentioned in reports could increase supply pressure. Revenue is still tied to volatile memecoin launch activity; slower markets mean smaller future burns. Shift from 100% to 50% revenue allocation drew some criticism as less aggressive for tokenholders.

Strong short-term bullish catalyst via massive supply reduction and automated burns, but long-term price support depends on Pump.fun maintaining healthy revenue and broader Solana and meme market conditions. The move balances tokenholder value with business longevity.

Alphabet Reports Strong Q1 2026 Earnings with Stock Surging Approximately 6%

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Alphabet, Google’s parent company, ticker GOOGL/GOOG reported strong Q1 2026 earnings after the bell on April 29, 2026, beating expectations and driving a roughly 5-6% surge in the stock price the next day, pushing it to a new all-time high.

Revenue: $109.9 billion, up ~22% year-over-year from $90.2 billion. This topped consensus estimates around $107 billion. EPS: $5.11 (GAAP), significantly above expectations of $2.62–$2.63. This included a large one-time boost from equity investments ($2.35 per share); the net income figure of ~$62.6 billion also reflected a big gain on equity securities.

Google Cloud: A standout performer, reaching over $20 billion in revenue; first time crossing that mark with 63% year-over-year growth, well ahead of estimates ~$18.4 billion. This highlights strong demand for AI infrastructure and cloud services. Google Search and advertising showed solid resilience while the company continues investing heavily in AI.

The stock closed around $349–$350 on April 29 near or at recent highs, then jumped in pre-market and early trading on April 30, trading in the $365–$377 range with gains of ~5–6%; some reports noted intraday or after-hours moves approaching that level. It hit a new all-time high during this move. Investors focused on the revenue beat, accelerating Cloud growth, and overall momentum in Google’s core advertising business despite AI-related shifts like Search overviews.

The results marked one of the stronger growth quarters in recent years. Heavy AI capital expenditures remain a watchpoint—Alphabet has guided for substantial 2026 capex in the $175–$190B range in some commentary—but the top-line strength and Cloud performance outweighed near-term margin/Fcf concerns for many.

Note that reported EPS/net income was inflated by a large non-operating gain; core operating results were still robust but the headline beat looked even bigger because of it. After-hours reactions can vary; some early reports noted modest dips before the broader surge, but the overall next-day move was clearly positive.

This fits the ongoing AI investment cycle among big tech: hyperscalers like Alphabet, Microsoft, and Amazon are seeing Cloud re-acceleration tied to AI workloads, even as they pour money into data centers and custom chips. Alphabet’s stock has performed well YTD into this report, though valuation remains elevated (forward P/E in the high 20s to low 30s depending on estimates).

Earnings season reactions often hinge on guidance and commentary as much as the numbers—watch for updates on AI monetization, Search competitive dynamics, and capex phasing. Shares surged ~5–7% on April 30, 2026; trading day after the report, hitting a new all-time high. The move was driven primarily by the revenue beat and explosive Google Cloud performance, validating heavy AI investments.

Google Cloud recorded $20B+ revenue for the first time (+63% YoY), with operating income tripling and margins expanding sharply to ~33%. Cloud backlog nearly doubled to ~$460–462B, signaling strong future AI infrastructure demand.

Advertising and Search remained resilient ~15–19% growth in key segments, with AI features boosting engagement. Company raised 2026 capital expenditure guidance to $180–190B up from prior range, raising investor worries about near-term free cash flow pressure and margin dilution from continued data center and AI infrastructure spending.

Mixed initial after-hours reaction with some early dip before the broader next-day surge, as the market weighed growth against spending intensity. Positive read-through for big tech/AI plays — Cloud acceleration highlights enterprise AI demand, similar to trends at Microsoft and Amazon. Stock trades at a premium, the reaction shows investors prioritizing AI growth momentum over short-term cost concerns for now.

Alphabet raised its quarterly dividend, modest ~5% increase. The report reinforced Alphabet’s AI positioning and Cloud momentum as key growth engines, outweighing capex worries for most investors on the day. Markets move quickly — check real-time quotes for the latest.

Bitcoin Could Crash to $40K Before Massive Rally, Analyst Warns

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A prominent crypto analyst @cryptorbion on X, has stirred fresh debate in the digital asset space, warning that Bitcoin could be heading for another major correction potentially dropping into the $40,000 range before a significant retracement to the upside.

Contrary to the widespread projections that Bitcoin has entered a new bull market, this analyst argues that the bear market is far from over and that it will end only after BTC hits its final cycle bottom.

According to Orbion, the move to $79,000 marked the final bull trap of its bear market cycle. This comes as Bitcoin traded as high as $79,435, on Monday before retracing to $76,000 price zone.

Orbion’s outlook, shared on X, goes beyond Bitcoin short-term price action, presenting a broader critique of the current state of the crypto market and its evolving dynamics.

At the core of his argument is the belief that the structure of the crypto ecosystem has fundamentally changed. He asserts that market capitalization—a metric long used to gauge value—has become increasingly meaningless, particularly as many top-ranked tokens have failed to deliver on their promises.

According to him, a significant portion of the top 50 cryptocurrencies consists of “ghost coins” and underperforming governance tokens, reflecting a disconnect between valuation and real-world utility.

He also highlights what he describes as a “broken long tail,” where the traditional high-risk, high-reward nature of smaller crypto projects has deteriorated into what he calls “high risk, guaranteed zero.” In his view, speculative opportunities have been overshadowed by rampant scams and rapid “rug pulls,” making it harder for retail investors to exit positions profitably.

Another major shift, he argues, is the increasing correlation across the market. Unlike previous cycles where different sectors such as DeFi, NFTs, or Layer-1 tokens could move independently, the current environment sees nearly all assets moving in tandem, particularly during downturns. This convergence, he claims, has effectively erased the advantage of sector-based investing.

Perhaps most controversially, the analyst declares that the era of “altcoin season” is over. He attributes this to an oversupply of tokens and a migration of speculative activity away from traditional crypto markets.

Retail traders, he suggests, are now drawn to alternative high-risk arenas such as short-term stock options, while institutional capital has shifted its focus toward artificial intelligence and other emerging technologies.

This transition ties into his broader claim that crypto is no longer the “frontier” it once was. The narrative appeal that fueled previous bull runs has weakened, replaced by new technological trends capturing both attention and capital.

As a result, strategies that once defined crypto investing—such as buying deep corrections with the expectation of new all-time highs have yielded diminishing returns in the current cycle.

Looking ahead, the analyst outlines a macro-driven forecast spanning the next three years. For 2026, he predicts heightened geopolitical tensions, sustained high oil prices, and a broader market downturn, with the S&P 500 potentially falling to 5,200 and Bitcoin stabilizing around $55,000.

By 2027, his outlook turns more optimistic. He expects easing geopolitical pressures, declining oil prices, and aggressive monetary policy shifts, including multiple rate cuts. In this environment, Bitcoin is projected to bottom early in the year before staging a significant recovery, potentially doubling by year-end.

The long-term vision culminates in a highly bullish 2028 scenario, where Bitcoin could surpass $400,000, equity markets reach new highs, and investors who held through the downturn reap substantial rewards. He frames this as a recurring cycle, suggesting that while the path may be volatile, the eventual outcome rewards patience and resilience.

Ultimately, the analyst’s perspective underscores a key shift in crypto investing: timing alone is no longer sufficient. In a more complex and interconnected market, both timing and asset selection have become critical.

SoftBank Eyes $100bn AI Infrastructure Spin-Off as Masayoshi Son Doubles Down on America’s Data Center Boom

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SoftBank Group is preparing a new high-stakes wager on the artificial intelligence boom, with plans to create and list a standalone U.S.-based AI and robotics company that could become one of the year’s most closely watched public offerings.

According to a report by the Financial Times, the proposed company, to be called “Roze,” would focus on building data centers and deploying robotics systems to automate and accelerate AI infrastructure construction. The venture is reportedly being spearheaded by SoftBank founder Masayoshi Son, who is targeting a valuation of roughly $100 billion and aiming for a listing as early as this year.

If completed, the move would mark another dramatic escalation in Son’s attempt to position SoftBank at the center of the global AI infrastructure race, where the battle is increasingly shifting from software models to the physical systems required to power them: data centers, energy networks, advanced chips, and automation.

The proposed structure is also part of a major shift underway across the technology sector. As AI models grow larger and more compute-intensive, companies are no longer competing solely on algorithms or applications. Increasingly, advantage is being determined by access to electricity, land, cooling systems, semiconductors, and construction capacity. That has transformed AI infrastructure into one of the most capital-intensive industries in the world.

Roze appears designed to capitalize on that transition.

The company would reportedly combine existing SoftBank infrastructure assets with robotics capabilities, including ABB Robotics, which SoftBank agreed to acquire last year. The strategy points to an effort to industrialize AI infrastructure deployment itself, using automation to cut labor costs, speed construction timelines, and reduce bottlenecks that have emerged as hyperscalers race to build capacity.

The move comes when global demand for AI compute has surged far beyond expectations over the past two years, driven by enterprise adoption, generative AI services, and autonomous systems. Major technology firms are collectively expected to spend hundreds of billions of dollars annually on AI-related infrastructure, with shortages already emerging in power supply, networking equipment, and advanced chips.

Masayoshi Son has increasingly framed this moment as a once-in-a-generation technological transition, comparable to the rise of the internet or smartphones. His strategy has evolved accordingly. Once known primarily for venture capital-style investments through the Vision Fund, SoftBank is now concentrating more aggressively on foundational infrastructure tied directly to AI expansion.

The company’s involvement in the Stargate initiative illustrates that shift. Earlier last year, SoftBank joined forces with OpenAI, Oracle, and other partners on the planned $500 billion Stargate project aimed at expanding U.S. data center capacity.

SoftBank has also accelerated work on its own facilities, including a large-scale development project in Ohio. The Roze venture would likely serve as an extension of that broader buildout strategy, consolidating infrastructure assets into a dedicated vehicle capable of attracting external capital.

At the same time, the proposed IPO could help address growing investor concerns about SoftBank’s financing commitments.

The company has pledged tens of billions of dollars toward AI initiatives, including more than $30 billion tied to OpenAI. Those commitments have fueled questions about leverage, liquidity, and exposure to an industry still struggling to convert rapid adoption into sustainable profitability.

An IPO of Roze could partially ease those concerns by monetizing infrastructure assets while creating a separate publicly traded entity capable of raising its own capital. In effect, SoftBank may be attempting to replicate a familiar playbook from earlier technology cycles: spinning out capital-intensive operations into vehicles investors can value independently.

Still, the scale and timing of the plan underscore the risks involved.

The Financial Times noted that some SoftBank executives view the valuation target and timeline as highly ambitious, particularly given geopolitical uncertainty and market volatility linked to the Middle East conflict. Rising energy prices and supply chain disruptions have complicated infrastructure economics globally, especially for power-hungry data center projects.

Those pressures matter because AI infrastructure economics depend heavily on stable energy access and long-term financing conditions. Higher borrowing costs or prolonged geopolitical instability could materially alter projected returns on large-scale projects.

There is also a deeper question surrounding the broader AI investment cycle itself.

Investors have recently become more cautious about whether current infrastructure spending levels are sustainable, particularly as some leading AI firms struggle to meet aggressive revenue projections. Concerns have grown that the sector could face periods of overcapacity if enterprise monetization fails to keep pace with infrastructure expansion.

Yet Son appears determined to lean further into the cycle rather than retreat from it.

SoftBank’s Vision Fund posted a $2.4 billion gain in the December quarter, helped significantly by appreciation tied to OpenAI. That performance has strengthened Son’s conviction that AI infrastructure will become one of the defining investment themes of the coming decade.

The proposed Roze listing indicates that SoftBank no longer sees robotics and data centers as adjacent businesses to AI. Instead, they are increasingly being treated as core strategic assets in the race to dominate the next phase of computing.

If the deal scales, Roze could become one of the first major publicly traded companies built specifically around the physical backbone of the AI economy rather than the software layer sitting on top of it.