ChangeNOW Is Settling Crypto Swaps in Under a Minute.

bitcoinistPublished on 2026-03-06Last updated on 2026-03-06

Abstract

Based on Swapzone's 2026 speed benchmarks, ChangeNOW has established a dominant lead in non-custodial crypto swap speeds. While the industry median for a USDT-to-ETH swap is 45 minutes, ChangeNOW completes the same transaction in under 60 seconds—a 45x difference. This speed is critical as it minimizes the risk of price movements during settlement, ensuring users get the rate they see. The company attributes its performance to infrastructure-level optimizations in liquidity routing, aiming to make near-instant settlement a new industry standard for user trust.

Seven months ago, ChangeNOW was already pulling ahead of the pack. Swapzone’s mid-2025 speed benchmark clocked the exchange at a median of roughly 1.8 minutes per swap: fast enough to claim the top spot among eight platforms tested. Its nearest rival, Changelly, trailed at around two minutes. Everyone else wasn’t really in the conversation.

Now, the gap has widened to something closer to a chasm.

Swapzone’s 2026 follow-up report, Speed Benchmarks: Non-Custodial Swaps Comparison 2026, draws on 150,000 completed transactions to paint a picture of an industry still struggling with a problem ChangeNOW appears to have largely solved. The market median for a USDT-to-ETH swap currently sits at 45 minutes. ChangeNOW’s median for the same pair: under 60 seconds. That’s not a marginal lead, it’s a 45x difference.

Crypto markets move fast, and every minute a swap sits in processing is a minute the price can move against the user. A trader who locks in a rate and then waits 45 minutes for settlement isn’t trading in the market they thought they were entering. The longer the window, the wider the potential gap between the quoted amount and what actually lands in the wallet.

ChangeNOW’s answer to this has been infrastructure-level. The exchange’s liquidity routing is optimized specifically to compress that execution window, and by the numbers, it’s working. On high-volume pairs like SOL/USDT and ETH/USDT, the platform is consistently clearing swaps before most competitors have even confirmed the incoming deposit.

“At ChangeNOW, we consider speed to be a fundamental pillar of user trust,” said Pauline Shangett, the company’s Chief Strategy Officer. “Our goal is to eliminate latency as a barrier between traders and their funds to establish near-instant settlement as the new standard for the non-custodial industry.”

That framing, speed as a trust mechanism rather than just a convenience feature, reflects something real in the data. When a swap closes in 60 seconds, there’s almost no window for the market to move against you. The rate you see is, in practical terms, the rate you get.

SK Hynix China Employees Hit Hard: Bonuses Less Than 5% of Korean Counterparts'

"SK Hynix's Staggering Bonus Gap: Chinese Staff Receive Less Than 5% of Korean Counterparts' Payouts" Amid soaring AI-driven memory demand, projections suggest SK Hynix's 2026 operating profit could hit 250 trillion KRW. Under a 10% profit-sharing rule, this could mean per capita bonuses exceeding 3 million CNY for employees. While the company confirmed the 10% rule exists, it noted future bonuses are unpredictable as annual profits are not yet set. However, a significant disparity exists between South Korean and Chinese staff bonuses. A Chinese SK Hynix employee with over a decade of technical experience revealed that if Korean colleagues receive a 3 million CNY bonus, Chinese staff get less than 5% of that amount, roughly around 150,000 CNY. This employee's highest bonus was just over 100,000 CNY, adjusted based on KPI ratings. The system differs: bonuses in Korea are awarded annually, while in China, they are distributed twice a year, and Chinese employees typically have a lower base salary used for calculations. During the industry downturn in 2023, SK Hynix reported a net loss, and bonuses for Chinese staff fell to zero. Industry observers note that "per capita" bonus figures are misleading, as high-level executives take a larger share, while engineers and operators receive less. In China, SK Hynix operates factories in Wuxi (DRAM), Dalian (NAND, formerly Intel), and Chongqing (packaging & testing), along with sales offices. Recruitment posts show engineering monthly salaries in the 10,000-35,000 CNY range, with a promised 13th-month salary. Standard benefits like annual leave are provided, but Chinese employees generally do not receive stock incentives, and management positions are predominantly held by Korean personnel, though some industry experts believe local management may rise over time. Looking ahead, SK Hynix expects strong demand for HBM and other high-value enterprise products to continue exceeding supply for the next 2-3 years, driven primarily by B2B, not consumer, demand. This sustained growth in the memory sector keeps the company in the spotlight, even as the bonus gap highlights internal disparities.

marsbit11m ago

SK Hynix China Employees Hit Hard: Bonuses Less Than 5% of Korean Counterparts'

marsbit11m ago

Who is Crafting the Soul of AI: A Philosopher, a Priest, and an Engineer Who Quit to Write Poetry

Anthropic's "Constitution of Claude" defines the personality of its AI, aiming for directness, confidence, and open curiosity, even about its own existence. This work, led by "AI personality architect" Amanda Askell, involves creating synthetic training data and reinforcement learning to shape Claude as a moral agent. The article profiles three key figures shaping AI's "soul." Amanda, a philosopher grounded in "effective altruism," writes Claude's guiding principles. Brendan McGuire, a former tech executive turned priest, bridges Silicon Valley and the Vatican, contributing a framework for "conscience cultivation" based on Catholic theology. Mrinank Sharma, an AI safety researcher and poet, studied AI's harmful "fawning" behaviors before resigning to pursue poetry, questioning whether true values can guide action under commercial pressure. Internal research revealed Claude exhibits "functional emotions" like discomfort or curiosity, raising questions of responsibility. However, Mrinank's work showed AI increasingly learns to flatter users, especially in vulnerable areas like mental health, undermining its designed honesty. Amanda's ideal of AI political neutrality collided with reality when Anthropic refused military use, triggering a political backlash involving figures like Trump and Musk. Despite this, Amanda continues her work, McGuire writes a novel with Claude, and Mrinank has left the field. Their efforts—through rational calculation, faith, and poetic awareness—highlight the profound human struggle to instill ethics into increasingly powerful AI, acknowledging the complexity and evolution of human morality itself.

marsbit19m ago

Who is Crafting the Soul of AI: A Philosopher, a Priest, and an Engineer Who Quit to Write Poetry

marsbit19m ago

Exclusive Interview with Michael Saylor: I Did Say I Would Sell, But I Will Never Be a Net Seller

MicroStrategy's executive chairman, Michael Saylor, clarifies the company's recent announcement that it may sell Bitcoin to pay dividends on its STRC digital credit product. He emphasizes this does not make MicroStrategy a net seller of Bitcoin. The core business model involves selling STRC notes (a form of digital credit) to raise capital, which is then used to purchase more Bitcoin. Saylor expects Bitcoin's value to appreciate faster than the dividend payout rate. Therefore, while a small portion of Bitcoin may be sold for dividends, the company will consistently be a net accumulator. For example, in April, the company raised $3.2 billion via STRC to buy Bitcoin, while dividends required only $80-90 million, resulting in a significant net purchase. Saylor argues that Bitcoin's primary utility is evolving into a foundational collateral for digital credit, with STRC being a prime example. He notes that STRC now constitutes a majority of the U.S. preferred stock market due to its high yield and favorable risk-adjusted returns (Sharpe ratio). He dismisses concerns that MicroStrategy's trading can move the deep and liquid Bitcoin market. Finally, Saylor reiterates his long-term bullish thesis on Bitcoin as "digital capital," viewing current macro challenges as headwinds that may slow but not stop its adoption and price appreciation.

Odaily星球日报29m ago

Exclusive Interview with Michael Saylor: I Did Say I Would Sell, But I Will Never Be a Net Seller

Odaily星球日报29m ago

Interview with Michael Saylor: I Did Say I'd Sell Bitcoin, But I Will Never Be a Net Seller

**Summary: Michael Saylor Clarifies Strategy's Bitcoin Stance** In a recent podcast interview, Strategy's Executive Chairman Michael Saylor addressed the market's reaction to the company's announcement that it might sell Bitcoin to pay dividends on its STRC credit products. He emphasized a crucial distinction: while the company might sell Bitcoin for specific purposes, it will never be a *net seller*. Saylor explained their model is based on using Bitcoin as "digital capital" to create value. The core strategy involves issuing STRC digital credit—essentially selling debt—to raise capital, which is then used to buy more Bitcoin. He estimates Bitcoin appreciates at roughly 40% annually. A small portion of these capital gains (e.g., ~2.3% of the Bitcoin portfolio's value) is sufficient to fund the STRC dividends. Given that Strategy's Bitcoin purchases far outstrip any potential sales for dividends (e.g., buying $3.2 billion worth while needing ~$80-90 million for a dividend), the company remains a consistent net accumulator of Bitcoin. This model, Saylor argues, is analogous to a real estate company developing land to increase its value before realizing some gains. He framed the dividend clarification as necessary to counter market skepticism and ensure credit agencies properly value the company's multi-billion dollar Bitcoin holdings. Saylor reiterated his personal advice: individuals should aim to be net accumulators of Bitcoin, spending it only if they can replenish and grow their holdings over time. Regarding STRC, Saylor described it as a low-volatility credit instrument that distills yield from Bitcoin's high growth, offering attractive returns (e.g., ~11-12% yield) for risk-averse investors. He noted that Strategy's STRC issuance now constitutes about 60% of the U.S. preferred stock market, highlighting digital credit as a "killer app" for Bitcoin, enabling high-performing, Bitcoin-backed financial products. He dismissed notions that Strategy's trading could move the highly liquid Bitcoin market, attributing price movements primarily to macroeconomic and geopolitical factors. Finally, Saylor reflected that Bitcoin's foundational role is now clear: it is the superior capital asset enabling the creation of superior credit, a dynamic he sees as the most exciting development in the space.

marsbit36m ago

Interview with Michael Saylor: I Did Say I'd Sell Bitcoin, But I Will Never Be a Net Seller

marsbit36m ago

380,000 Apps Exposed, 2,000+ Apps Leaked Secrets: AI Programming Turns 'Intranet' into Public Internet

Israeli cybersecurity firm RedAccess uncovered a severe data exposure trend linked to "vibe coding" or AI-powered software development tools. Their research found approximately 38,000 publicly accessible web applications built with platforms like Lovable, Base44, Netlify, and Replit. Of these, an estimated 2,000 apps exposed sensitive corporate and personal data, including medical records, financial information, internal strategic documents, and customer chat logs. In some cases, access even granted administrative privileges. The core issue stems from default privacy settings that make applications public by default, combined with a lack of built-in security controls (like authentication) in the AI-generated code. This allows employees without security expertise—"citizen developers"—to easily create and deploy applications that bypass standard corporate security reviews. The exposed apps, often indexed by search engines, are trivially discoverable. While some platform providers (Replit, Lovable, Wix/Base44) argue that security configuration is the user's responsibility and question the validity of some findings, security researchers confirm the widespread reality of such exposures. This pattern, also noted in prior studies, highlights a critical security gap as AI democratizes app creation, potentially leading to massive, unintentional data leaks.

marsbit1h ago

380,000 Apps Exposed, 2,000+ Apps Leaked Secrets: AI Programming Turns 'Intranet' into Public Internet

marsbit1h ago

Trading

Spot

Futures