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Bitcoin and Ethereum are up — but these privacy coins have surged even harder

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  • Bitcoin and Ethereum rose this week.
  • But privacy coins got a bigger boost.
  • Leading privacy coins surge when crypto bigwigs talk about them.

Bitcoin and Ethereum made gains this week following US President Donald Trump’s announcement of a ceasefire with Iran.

The two biggest cryptocurrencies are up 8% and 9%, respectively, over a seven day period.

But the biggest winners this week are Zcash and Dash, having shot up by double digits, according to CoinGecko data.

Zcash is still well below its record set nearly a decade ago. Source: CoinGecko.

Zcash was trading for $371 on Saturday morning in New York — a 49% weekly rise — and Dash had shot up by nearly 53%. Dash, a smaller privacy coin, was priced at nearly $46.

Other privacy coins — including Monero — also made impressive gains: the original privacy cryptocurrency had risen by 7% over the past seven days.

The rise in privacy coins comes as top crypto entrepreneurs again pump the category:  crypto entrepreneur Arthur Hayes this week spoke on Bitcoin podcaster Anthony Pompliano’s show where he again pumped Zcash.

And Changpeng Zhao, founder and ex-CEO of Binance, spoke about the dangers of public blockchains.

Privacy coins got a boost last year after AngelList founder Naval Ravikant wrote on X that while “Bitcoin is insurance against fiat,” Zcash is “insurance against Bitcoin” — making note of privacy concerns around the biggest public blockchain.

Since then, crypto bigwigs have pumped privacy projects and Winklevoss Capital, the venture capital fund owned by billionaire twins Cameron and Tyler Winklevoss, even backed a Zcash treasury company.

Foundry Digital, the world’s leading Bitcoin mining pool operator, in March announced it was debuting a mining pool for Zcash.

Crypto market movers

  • Bitcoin was trading for $72,727 per coin on Saturday, up more than 8% over the past week. 
  • Ethereum’s price hit $2,244, a 9% seven-day jump.

What we’re reading

Mathew Di Salvo is a news correspondent with DL News. Got a tip? Email at mdisalvo@dlnews.com.

TAO Tanks 20% as Major Subnet Developer Accuses Bittensor Founder of ‘Decentralization Theatre’

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The founder of Covenant AI announced the project’s departure from Bittensor last night, kicking off public accusations from both sides, and sending the subnet ecosystem down 26%.

Bittensor’s TAO token is the worst performer among the top-100 large-caps today, April 10, after a major subnet operator announced their departure from the ecosystem.

Yesterday evening ET, TAO plunged from around $338 to a low near $253 — a drop of roughly 25% — erasing close to $900 million in market cap, per CoinGecko data. The asset is currently down 20% over the past 24 hours, trading near $270 at press time.

TAO 24-hour price chart. Source: CoinGecko

The sell-off was triggered by an extended X post from Sam Dare, founder of Covenant AI, announcing the project’s departure from Bittensor, a decentralized artificial intelligence (AI) protocol.

In his statement, posted on X yesterday evening ET, Dare accused Bittensor founder Jacob Steeves (known online as “Const”) of exercising unilateral control over a network that presents itself as decentralized, alleging Steeves suspended emissions to Covenant’s subnets, stripped their moderation capabilities, deprecated their infrastructure, and applied economic pressure through large, visible token sales timed to moments of operational conflict.

“The entire premise of Bittensor… is that no single entity controls it,” Dare wrote. “That promise is a lie.”

Covenant AI operated subnets SN3, SN81, and SN39 — specialized sub-networks dedicated to specific AI tasks — and was the team behind Covenant-72B: the model whose reveal catalyzed a 90% TAO rally after Nvidia CEO Jensen Huang and investor Chamath Palihapitiya endorsed Bittensor’s decentralized AI training model on the All-In Podcast, as The Defiant reported previously.

Steeves pushed back in an X response on April 10, disputing each claim. He acknowledged selling some of his alpha holdings across Covenant’s three subnets, but said it was because they “were not running, and were on near 100% burn code” — and that the sales amounted to less than 1% of his total investment in the project.

He also denied having any ability to unilaterally suspend emissions, said Dare deprecated his own channels, and noted that visibility in token sales is “impossible to avoid” given his position.

Not everyone in the community is sympathetic to Dare’s account. Prominent Bittensor community member @DreadBong0 alleged that Dare dumped 37,000 TAO worth of subnet alpha tokens across the Grail, Basilica, and Templar subnets on the way out — a move that “completely destroyed the investments of everyone who followed and trusted these guys.”

DreadBong0’s X post called the alleged move a “rug for max extraction,” adding: “Maybe that’s wrong but that’s exactly how it looks to me.” The dump allegation has not been independently verified, and Dare has not publicly addressed it.

Subnet Ecosystem Suffers

The Bittensor subnets sector more broadly is down nearly 26% on the day per CoinGecko, with τemplar (SN3) — which had surged around 400% over the prior month to an over $150 million market cap — now down almost 63% in the past 24 hours.

Nearly $10 million in TAO long positions were liquidated in the past 24 hours, per CoinGlass data.

The Defiant had covered the TAO rally last month, noting the surge in Bittensor subnet tokens and the outsized role Covenant AI’s model played in driving enthusiasm.

The network has also attracted a wave of institutional interest, with publicly traded companies building TAO treasuries and, more recently, the potential conversion of the Grayscale TAO Trust into a spot ETF on the horizon.

This article was written with the assistance of AI workflows. All our stories are curated, edited and fact-checked by a human.

284K New Users Flood Network In Q1

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Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Ethereum processed more transactions in the first three months of 2026 than in any quarter in its history — 200 million in total, a 43% jump from the previous quarter.

That milestone came alongside a sharp rise in new users, with 284,000 first-time participants joining the network between January and March, according to on-chain analytics provider Artemis.

New User Growth Accelerates Across The Board

Active addresses climbed to 12.6 million during the quarter, based on data from DeFiLlama. The 82% quarter-over-quarter increase in new accounts drew attention across the industry, with analysts pointing to cheaper transactions made possible by Layer-2 scaling networks as a key factor drawing people in.

DeFi applications, token activity, and NFTs were all cited as areas where new participants have been showing up.

Capital has also been moving into the network. Ethereum recorded net inflows of more than $2 billion among leading blockchains in early 2026, Artemis data shows. That kind of money flow suggests institutional and retail interest has not dried up, even as the token price has stayed mostly flat.

Price Stays Stuck While On-Chain Numbers Climb

ETH traded in a narrow band around $2,105 to $2,200 through much of the quarter — far below the highs the asset hit in prior cycles. The gap between record-breaking network usage and a stagnant price has puzzled market watchers.

ETHUSD now trading at $2,247. Chart: TradingView

Reports indicate that capital flows and exchange deposit activity have become stronger indicators of price movement than on-chain usage figures, a shift from patterns seen during earlier market cycles.

Exchange reserves have also been falling. One analyst noted that holders appear to be pulling ETH off platforms and keeping it, a sign that selling pressure may be limited at current price levels.

Layer-2 Networks Draw Credit For Lower Barriers

Much of the growth in new users has been attributed to the continued build-out of Layer-2 infrastructure, which has cut the cost and time required to complete transactions on the network.

Reports say entry barriers have dropped significantly as these systems have matured, opening the door to users who might have avoided the network when fees were higher.

Analysts who track new address creation consider the numbers a marker of real adoption rather than short-term speculation. Whether the price eventually reflects that activity remains an open question.

Featured image from Unsplash, chart from TradingView

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Bitwise Hyperliquid ETF Filing Updated — Launch Could Be Near, Analyst Says – Crypto News Bitcoin News

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Key Takeaways:

  • Bitwise filed a second amendment for its BHYP ETF on April 10, 2026, signaling a U.S. launch may be near.
  • Four issuers, including Grayscale and Vaneck are racing to offer spot HYPE exposure to U.S. investors.
  • HYPE is up 200% in the past year, fueled by Hyperliquid’s fee buyback mechanism and record perps volume.

Four Asset Managers, Including Grayscale and Vaneck Race to Launch U.S. HYPE Spot ETF

Balchunas posted on X that the update typically precedes a near-term listing, noting that HYPE is up 200% over the past year and that Bitwise appears to be moving while market conditions favor the product. The firm originally filed its S-1 registration statement in September 2025 and submitted Amendment No. 1 on Dec. 15, 2025, which added the BHYP ticker, the fee, and an 8-A registration statement. Both actions are standard late-stage markers in the SEC’s ETF review process.

The U.S. spot ETF has not yet received approval. It remains under SEC review. However, the repeated amendments indicate Bitwise has finalized its offering structure and is ready to list. The 0.67% fee sits above the 0.20-0.25% range common among bitcoin spot ETFs. Bitwise frames the higher cost as reflecting direct exposure to a high-margin decentralized finance (DeFi) perpetuals platform, where fees from trading activity drive an on-chain buyback-and-burn program tied directly to HYPE’s value.

One day before the latest U.S. filing update, on April 9, 2026, Bitwise Europe launched the Bitwise Hyperliquid Staking ETP on Deutsche Boerse Xetra under the same BHYP ticker. The European product carries a 0.85% total expense ratio, holds HYPE in cold storage, tracks the Kaiko HYPE Reference Rate, and targets approximately 1% net staking rewards annually.

Bitwise is one of four asset managers currently pursuing U.S. spot ETF exposure to HYPE. 21shares filed an S-1 on Oct. 29, 2025 for its 21shares Hyperliquid ETF with no finalized ticker. Grayscale filed for the Grayscale HYPE ETF on March 21, 2026, proposing the GHYP ticker on Nasdaq with Coinbase Custody as custodian. Vaneck has confirmed plans for a HYPE spot staking ETF under the proposed ticker VHYP, with filings referenced alongside its European ETP announcements in September 2025.

No filings from Blackrock, Fidelity, or others have been made public at the time of writing. Hyperliquid is a layer one (L1) blockchain built specifically for onchain derivatives trading. Its core engine, Hypercore, supports fully onchain perpetual futures and spot order books with sub-second block times, single-block finality, and throughput exceeding 100,000 orders per second. A companion layer, HyperEVM, provides EVM compatibility for smart contract applications that interact directly with the exchange.

The platform runs on HyperBFT consensus and handles order execution in milliseconds with no off-chain components. Hyperliquid recorded billions of dollars in perpetuals volume during macro volatility events in 2024 and 2025, including oil and gold perps, positioning it as the leading onchain perps exchange by volume. Amidst its growth, Hyperliquid has seen a wide variety of competitors nipping at its heels.

The HYPE token launched Nov. 29, 2024, via an airdrop to more than 90,000 early users. Total supply is fixed at 1 billion tokens. The token is used for governance, staking, gas on HyperEVM, and as the primary economic beneficiary of platform revenue. A significant portion of Hyperliquid‘s trading fees flow into an Assistance Fund that continuously buys back and burns HYPE, creating a direct link between platform activity and token value.

Annualized protocol revenue runs into the hundreds of millions of dollars, with margins that analysts estimate above 97%. The buyback mechanism gives HYPE a deflationary structure that functions differently from most governance tokens.

The exchange-traded product filings represent an attempt by traditional financial (TradFi) institutions to package that fee-generating machine into a brokerage-accessible product. Whether or not the SEC approves any of the four pending U.S. applications, the European products are already live and adding institutional access to HYPE staking returns.

Approval timelines for the U.S. filings remain tied to the SEC review calendar. All four issuers are waiting.

Coinbase CEO Brian Armstrong Backs Treasury Secretary Scott Bessent’s CLARITY Act Push

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Coinbase CEO Brian Armstrong publicly supported Treasury Secretary Scott Bessent’s call to pass the CLARITY Act, citing the urgency of crypto regulation.

Coinbase CEO Brian Armstrong backed Treasury Secretary Scott Bessent’s push to pass the CLARITY Act on Friday, April 10, 2026. Armstrong publicly agreed with the urgency around crypto regulation and thanked Bessent for advancing the issue forward with bipartisan support in the Senate.

The endorsement from Armstrong, one of crypto’s largest institutional figures, adds pressure on Congress to act on the cryptocurrency regulation framework. The CLARITY Act aims to provide regulatory clarity for digital assets and their classification across U.S. financial regulators.

Sources: Brian Armstrong

This article was generated automatically by The Defiant’s AI news system from publicly available sources.

Carles Reina: Customer success must evolve into a revenue-generating function, AI will reshape sales teams, and human interaction is critical for outbound effectiveness

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Key takeaways

  • Customer success should evolve into a revenue-generating function rather than just focusing on customer satisfaction.
  • The Chief Revenue Officer’s role is to strategize for future revenue rather than just focusing on current earnings.
  • Outbound sales strategies are becoming less effective due to their transactional nature and lack of personalization.
  • Human interaction is essential in outbound sales to maintain effectiveness and engagement.
  • AI tools can significantly enhance customer success management by automating and personalizing communication.
  • Future sales teams will likely be smaller but more efficient due to AI integration.
  • Sales quotas should be challenging yet fair to effectively motivate top performers.
  • Each million dollars in revenue can substantially increase a company’s valuation.
  • Customer success should focus on building community and trust, not just transactional interactions.
  • AI integration in sales can lead to higher efficiency and better compensation for smaller teams.
  • The traditional view of customer success is shifting towards a model that emphasizes financial outcomes.
  • Building a community through customer success can lead to long-term retention and growth.

Guest intro

Carles Reina is VP of Sales at ElevenLabs. He was the first investor and fourth employee there, scaling the revenue organization from Day 1 to over $350M in just 3 years. Carles is also an active investor with stakes in ElevenLabs, Revolut, Happy Robot, and more.

The evolving role of customer success

  • Customer success should be a revenue-generating function for businesses. “Customer success needs to be a money generation function for the business.” – Carles Reina
  • The focus should shift from customer satisfaction to financial outcomes. “I actually am a big believer of customer success… customer success needs to be a money generation.” – Carles Reina
  • Building community and trust is more important than just providing a transactional service. “If it becomes a services business only… you’re not building a community.” – Carles Reina
  • Customer success should contribute to long-term business growth by fostering community. “You’re not retaining of the long term.” – Carles Reina
  • The role of customer success is evolving in tech startups due to increased competition.
  • Customer success strategies should aim to create lasting relationships rather than short-term gains.
  • The integration of AI in customer success can lead to more personalized customer interactions.
  • Customer success should aim to enhance overall business valuation by driving revenue.

The future of sales teams

  • AI integration will lead to smaller, more efficient sales teams. “I think that we will end up seeing the fact that like people are becoming much more efficient.” – Carles Reina
  • Smaller teams will be better compensated due to increased efficiency from AI tools. “I prefer to manage a smaller team that would get super well compensated.” – Carles Reina
  • Sales quotas should be challenging yet fair to motivate top performers. “You need to put a quota that is challenging but also fair.” – Carles Reina
  • The role of the Chief Revenue Officer is to focus on future revenues. “The role of a CRO is fundamentally thinking about… the revenues of tomorrow.” – Carles Reina
  • Outbound sales strategies need a human touch to remain effective. “Outbound is dead unless you do it with humans.” – Carles Reina
  • AI tools can automate and personalize communication, enhancing customer success management.
  • Future sales strategies will require a balance between AI tools and human interaction.
  • The shift towards AI in sales will change workforce dynamics and productivity expectations.

Challenges in outbound sales

  • Outbound sales strategies are failing due to a transactional approach. “The majority of these tools track everyone… and people hate it.” – Carles Reina
  • Response rates on outbound emails have dropped to their lowest point. “The response rates on outbound emails has dropped to the lowest of any point in time.” – Carles Reina
  • A more personalized approach is needed to improve outbound sales effectiveness.
  • Human interaction is critical in outbound sales to maintain engagement. “Outbound is dead unless you do it with humans.” – Carles Reina
  • AI tools currently lack the personalization needed for effective outbound sales.
  • Sales strategies need to adapt to changing consumer preferences for better results.
  • The failure of outbound sales highlights the need for innovation in sales tactics.
  • Companies must rethink their approach to outbound sales to improve response rates.

AI’s impact on customer success

  • AI tools can automate email drafts and personalize communication. “I have like an AI custom success manager… each one of the customers ends up getting a slightly different message.” – Carles Reina
  • AI integration can lead to more efficient customer success management.
  • Personalized communication through AI can enhance customer relationships.
  • AI tools offer practical applications for improving customer interactions.
  • The use of AI in customer success can streamline processes and improve efficiency.
  • AI-driven personalization can lead to better customer engagement and satisfaction.
  • The integration of AI in customer success is a growing trend in tech startups.
  • AI tools can help businesses scale their customer success efforts effectively.

The importance of human interaction in sales

  • Outbound sales require a human touch to be effective. “Outbound is dead unless you do it with humans.” – Carles Reina
  • Human interaction is essential for maintaining engagement in sales.
  • Personalized communication is key to successful sales strategies.
  • AI tools should complement, not replace, human interaction in sales.
  • The effectiveness of sales strategies depends on balancing AI and human elements.
  • Human involvement is crucial in building trust and relationships with customers.
  • Sales teams need to adapt to incorporate human elements alongside AI tools.
  • The future of sales will involve a blend of technology and human interaction.

The strategic focus of a Chief Revenue Officer

  • The CRO’s role is to strategize for future revenue. “The role of a CRO is fundamentally thinking about… the revenues of tomorrow.” – Carles Reina
  • A forward-looking approach is essential for successful revenue management.
  • The CRO should focus on long-term financial outcomes rather than short-term gains.
  • Strategic planning is key to driving future revenue growth.
  • The CRO’s responsibilities include anticipating market trends and adapting strategies.
  • Effective revenue management involves balancing current and future revenue streams.
  • The CRO plays a critical role in shaping a company’s financial strategy.
  • A strategic focus on future revenue can enhance overall business valuation.

Building community through customer success

  • Customer success should focus on building community and trust. “If it becomes a services business only… you’re not building a community.” – Carles Reina
  • Building community can lead to long-term customer retention and growth.
  • Trust and relationships are more important than transactional interactions.
  • Customer success strategies should aim to create lasting relationships.
  • The focus should be on fostering community rather than short-term gains.
  • Building community through customer success can enhance brand loyalty.
  • Long-term growth is driven by strong customer relationships and community.
  • The evolving role of customer success emphasizes community building.

The correlation between revenue and valuation

  • Every million dollars in revenue adds $33 million in extra valuation. “For every $1,000,000 in revenues… it’s a benefit for everything.” – Carles Reina
  • Revenue generation has a significant impact on company valuation.
  • Sales-driven business models emphasize the importance of revenue for valuation.
  • Increasing revenue can substantially enhance a company’s market position.
  • The correlation between revenue and valuation highlights the importance of sales.
  • Effective sales strategies can drive significant increases in company valuation.
  • Revenue growth is a key driver of business success and market competitiveness.
  • Understanding this correlation is crucial for strategic business planning.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

Crypto TradFi perpetuals are predicting the direct of Wall Street’s Monday open with 89% accuracy

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Crypto exchanges are starting to take on a new role: pricing traditional assets while Wall Street is closed.

The growing market for perpetual futures contracts tied to traditional financial instruments including commodities like gold and oil that runs around the clock on cryptocurrency exchanges is responsible.

Data from Binance Research suggests these markets, which hit $31 billion in weekly trading volume on commodities volatility, are doing more than filling idle hours. Weekend price moves in gold-linked perps correctly predict the direction of Monday’s opening in traditional futures about 89% of the time, Binance found. The correlation between the two sits near 0.80, indicating a strong relationship.

The report finds a median “capture ratio” of 57%, meaning more than half of the expected move is already reflected in crypto markets before traditional exchanges open.

The extreme volatility seen over the war in Iran serves as an example. As tensions rose over the weekend of February 28 to March 1, trading volume in these contracts surged to $8.1 billion, far above typical levels. Traders used the market to hedge and react in real time while traditional venues were closed.

Weekend activity has grown steadily over the past month as volumes now average about 38% of weekday levels, according to Binance’s data.

“While the magnitude of price discovery still has room for improvement, directional accuracy is already compelling,” the firm wrote. “Weekend perpetual price movements correctly predict the direction of Monday’s opening gap 89% of the time. For traders seeking to position ahead of Monday’s open or manage weekend risk, this level of directional reliability makes TradFi-perps a valuable signal source.”

These products also offer other advantages by bringing financial instruments that would otherwise have forced crypto holders to off-ramp to access directly into their platfforms.

Read more: Traders are the big winners as 24/7 stocks will finally end the after-hours price ‘manipulation’

Top Strategies for Laravel Performance Optimization to Boost Website Speed

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In today’s fast-paced digital landscape, website performance is no longer optional—it’s a necessity. Whether you’re building a SaaS platform, an e-commerce store, or a content-driven website, speed directly impacts user experience, search engine rankings, and conversions.

Laravel, one of the most popular PHP frameworks, offers elegant syntax and powerful features. However, without proper optimization, even a well-built Laravel application can suffer from slow performance. That’s why mastering Laravel performance optimization is essential for developers and business owners alike.

In this guide, we’ll explore the most effective strategies to optimize Laravel performance and ensure your application runs at peak speed.

What is Laravel Performance Optimization?

Laravel performance optimization refers to the process of improving the speed, efficiency, and scalability of Laravel-based applications. It involves fine-tuning different layers of the application, including:

  • Server infrastructure
  • Database queries
  • Application code
  • Caching mechanisms
  • Asset delivery

The goal is simple: reduce load times, handle more traffic, and deliver a smooth user experience.

Why Performance Matters for Laravel Applications

1. User Experience

Slow websites frustrate users. A delay of even one second can significantly increase bounce rates.

2. SEO Benefits

Search engines prioritize fast-loading websites. Optimizing Laravel performance helps improve your rankings and visibility.

3. Higher Conversions

Speed directly impacts revenue. Faster websites lead to better engagement and higher conversion rates.

Understanding Laravel System Requirements

Before optimizing your application, it’s important to ensure your server meets Laravel’s official system requirements.

Running Laravel on an inadequate environment can severely limit performance, regardless of how optimized your code is.

Common Performance Bottlenecks in Laravel

Understanding the common issues helps you fix them effectively:

  • Inefficient database queries
  • Lack of caching
  • Poor hosting environment
  • Overuse of middleware
  • Unoptimized assets

One of the biggest mistakes developers make is ignoring hosting limitations. For example, shared hosting often creates serious limitations for Laravel, especially under high traffic.

Top Strategies for Laravel Performance Optimization

1. Choose the Right Hosting Environment

Your hosting provider plays a crucial role in performance.

Many developers start with shared hosting due to low cost, but it often leads to:

  • Limited resources
  • Poor scalability
  • Slower response times

This is why understanding the limitations for Laravel is critical when choosing hosting.

A better alternative is managed cloud hosting, which offers:

  • Dedicated resources
  • Better scalability
  • Optimized server stacks

If you want a reliable solution, you can explore trusted recommendations from Woblogger.

2. Use High-Speed NVMe Storage

Storage speed significantly affects your application’s performance, especially database operations.

Traditional SSDs are fast, but NVMe storage is even faster due to:

  • Lower latency
  • Higher IOPS
  • Faster data access

To understand how this impacts hosting performance, read this detailed guide on NVMe in web hosting.

3. Enable Laravel Caching

Caching is one of the most powerful optimization techniques in Laravel.

Use built-in commands to cache important components:

  • Config cache
  • Route cache
  • View cache

Caching reduces processing time and speeds up request handling.

4. Optimize Database Queries

Database performance is often the biggest bottleneck.

Best Practices:

  • Use eager loading instead of lazy loading
  • Add indexes to frequently queried columns
  • Avoid N+1 query problems
  • Use query caching when possible

Efficient queries can drastically reduce load times.

5. Use Queue Workers for Background Tasks

Heavy tasks such as sending emails or processing uploads should not run during user requests.

Laravel queues allow you to:

  • Offload time-consuming tasks
  • Improve response time
  • Enhance scalability

This ensures your application remains fast and responsive.

6. Optimize Composer Autoloading

Composer optimization helps improve class loading performance.

  • Use optimized autoloaders
  • Remove unused dependencies
  • Reduce package bloat

This reduces overhead and improves execution speed.

7. Use a Content Delivery Network (CDN)

A CDN helps deliver static content faster by using servers closer to users.

Benefits include:

  • Reduced latency
  • Faster global access
  • Lower server load

This is especially useful for applications with international audiences.

8. Minify and Optimize Assets

Frontend assets can slow down your application if not optimized.

Optimize by:

  • Minifying CSS and JavaScript
  • Compressing images
  • Using modern build tools

This reduces page size and improves load times.

9. Enable PHP Opcache

PHP Opcache stores compiled scripts in memory, reducing execution time.

Benefits:

  • Faster script execution
  • Reduced server load
  • Improved response time

Make sure Opcache is enabled and properly configured on your server.

10. Monitor and Test Performance

Continuous monitoring is essential.

Use tools like:

  • Laravel Telescope
  • New Relic
  • Blackfire

These tools help you identify performance issues and optimize accordingly.

Why Cloud Hosting is Ideal for Laravel Performance

Modern Laravel applications demand scalable and high-performance infrastructure.

Managed cloud hosting platforms provide:

  • Optimized server stacks (Nginx, Redis, Varnish)
  • Auto-scaling capabilities
  • Advanced caching systems
  • Dedicated resources

Unlike shared hosting, cloud hosting ensures consistent performance even under heavy traffic.

Exclusive Hosting Offer for Developers

If you’re serious about Laravel performance optimization, choosing the right hosting platform is crucial.

You can get started with managed cloud hosting through Woblogger.

New users can use the promo code WOBLOGGER to receive:

  • $30 in free hosting credits
  • Equivalent to ~3 months of free hosting on the DigitalOcean Standard Micro plan

This makes it an excellent option for developers looking to test high-performance hosting without upfront costs.

Final Thoughts

Laravel is a powerful framework, but performance depends on how well you optimize your application.

To recap, the most important Laravel performance optimization strategies include:

  • Choosing the right hosting environment
  • Leveraging NVMe storage
  • Enabling caching
  • Optimizing database queries
  • Using queues for background tasks
  • Monitoring performance continuously

By combining these strategies, you can build fast, scalable, and high-performing Laravel applications that deliver exceptional user experiences.

If you’re ready to take your Laravel projects to the next level, start by optimizing both your code and your hosting environment—and you’ll see a significant difference in speed and performance.

Bitcoin Millionaires Are Disappearing By The Thousands, And The Figures Are Shocking

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Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

The number of Bitcoin millionaires has significantly dropped amid the BTC downtrend since the start of the year. This comes as long-term holders (LTHs) remain underwater, with BTC well below its current all-time high (ATH) of $126,000. 

Number of Bitcoin Millionaires Crashes 14%

A Finbold research has revealed a 14% decline in the number of Bitcoin wallets holding at least $1 million in the first quarter of this year. This notably came as the Bitcoin price crashed from a yearly high above $97,000 to as low as $60,000 on February 6, pushing many wallets below the $1 million threshold. 

The research noted that the total number of Bitcoin addresses holding at least $1 million fell from 148,084 to 127,494 between January 1 and March 31, 2026. This represents a loss of almost 14% in the first quarter of this year. The report noted that this significant crash in the number of Bitcoin millionaires is likely due to the BTC crash in the first quarter rather than widespread selling activity. 

It is worth noting that the number of BTC millionaires has continued to decline since the end of the first quarter, with the figure currently standing at 119,878, according to BitInfoCharts. This comes despite Bitcoin’s recovery since its February 6 low, suggesting that some of these wallets have offloaded holdings as the price has recovered.  

However, it is worth noting that the number of BTC addresses holding $10 million or more has rebounded from the lows at the end of the first quarter. The Finbold research revealed that there were 14,261 addresses in this category at the end of the first quarter. At the time of writing, the number of addresses stands at 15,036, according to BitInfoCharts. 

LTHs Still Well Underwater

In an X post, on-chain analytics platform Glassnode revealed that the 30-day SMA of the LTH Relative Unrealized Loss currently sits at 14% of Bitcoin’s market cap. They noted that this figure remains substantially below the levels at which BTC formed bottoms in previous bear markets, with the average at around 70% of market cap. 

Bitcoin
Source: Chart from Glassnode on X

This metric captures the total unrealized loss held by LTHs normalized by market cap, reflecting the huge losses that Bitcoin’s most convicted holders are sitting on. Based on historical cycles, the current figure suggests that BTC isn’t yet close to a bottom despite its recent recovery. Glassnode warned that there is still weak spot demand despite the recent recovery, with the softer futures activity suggesting that the recovery still lacks strong conviction. 

Related Reading: Higher Before Lower: How Bitcoin Price Will Get To $240,000

At the time of writing, the Bitcoin price is trading at around $72,800, up in the last 24 hours, according to data from CoinMarketCap.

Bitcoin
BTC trading at $72,762 on the 1D chart | Source: BTCUSDT on Tradingview.com

Featured image from Pixabay, chart from Tradingview.com

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Economists Said AI Wouldn’t Take Jobs—Some Now Admit They Got It Wrong

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In brief

  • A major multi-university study finds faster AI means fewer people working.
  • Economists now see real job losses alongside strong economic growth.
  • The debate has shifted to whether AI will replace the need for new jobs entirely.

For years, economists were the professionals most likely to tell you to calm down about any fear related to technology. ATMs didn’t replace cashiers, Excel didn’t replace bookkeepers and robotic vacuums didn’t replace maids. “Augment, not replace” was the consensus.

Well, that consensus is cracking.

A new paper from researchers at the Federal Reserve Bank of Chicago, the Forecasting Research Institute, Yale, Stanford, and the University of Pennsylvania surveyed 69 economists, 52 AI specialists, and 38 superforecasters about how AI will reshape the U.S. economy.

All three groups agree on one thing: Faster AI progress means lower labor force participation. That’s the polite way to say “fewer people working.”

The numbers are staggering. Under what the researchers call the “rapid” scenario—where AI surpasses human performance across most cognitive and physical tasks by 2030—economists forecast the U.S. labor force participation rate dropping from its current 62% to 54% by 2050.

About half of that drop, roughly 10 million lost jobs, would be directly attributable to AI rather than demographics or other trends.

The rapid scenario isn’t science fiction. It’s the world where AI can negotiate book contracts, assist in any factory or home, and replace all freelance software engineers, paralegals, and customer service agents.

Anthropic CEO Dario Amodei has already warned that the disruption is accelerating faster than most expect—and the study’s rapid scenario effectively validates that framing. GDP tells the other half of the story.

Under the same rapid scenario, economists project annual GDP growth hitting 3.5% by 2045-2049—approaching post-WWII boom levels. AI experts are even more bullish, forecasting 5.3% growth. Tremendous aggregate wealth creation, concentrated at the top, with a thinner workforce to share it. The researchers flag that under rapid AI, the wealthiest 10% of households could hold 80% of total wealth by 2050—higher than pre-WWII inequality.

But there’s a nuance that often gets lost in the AI jobs debate. The paper finds that expert disagreement isn’t mainly about whether powerful AI will arrive, but about what happens to the economy once it does. That’s a meaningful shift. The previous pro-tech arguments assumed that even transformative automation would eventually create new categories of work. The new question economists are wrestling with is whether AI, unlike ATMs, automates the task of inventing new tasks.

For now, the aggregate employment data still looks mostly stable. A Yale and Brookings study from late 2025 found no mass unemployment signal nearly three years after ChatGPT’s launch. But research cited in the new paper documents a 13% relative employment drop among workers aged 22-25 in the most AI-exposed occupations. The macro is stable. The leading edge is not.

On policy, economists and the general public part ways sharply. Economists favor targeted retraining programs (71.8% support) and largely reject job guarantees (13.7%) and universal basic income (37.4%). The general public is far more open to structural interventions. The paper’s authors note that optimal policy depends heavily on which scenario plays out—and right now, nobody knows which one will.

So, the “augment, not replace” parable isn’t dead, but it’s on life support, and the economists running the numbers have enough data to be worried.

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