Press Release
ACI quantitative robot-The power of reading the trends
In 1962, Everett-Rogers proposed the theory of innovative diffusion, designed to explain how, why, and how quickly new ideas and technologies were spread. The theory explains how a product or technology gains momentum and spreads across a specific population over time. The end result is that people apply a product, technology, or idea. One of the key implications is that the application of a new technology in the population does not occur simultaneously. Instead, certain people and groups are more likely to apply technology at different times, consistent with specific psychological and social characteristics. There are five established applicationcategories for new ideas or products. These categories are defined below.
A The Innovator. “Innovators are adventurous and willing to take the risks. They fundamentally wanted to be the first person to try something new. Their goal is to explore new technologies or innovation and to find opportunities to be drivers of change. 」
B Early App. “Once the benefits of a new innovation start to become obvious, early apps are eager to try. Early apps bought new technology to achieve revolutionary breakthroughs that gave them a huge competitive advantage in their industry. They like to gain more advantages than their peers, and they seem to have the time and money to invest. 」
C Early majority. “The early majority of the mainstream usually focused on innovation in solving specific problems. They look for complete products that are fully tested, adhere to industry standards, and are used by others they know in the industry. They are looking for gradual, proven ways to do what they are already doing. 」
D Later majority. “The late most are risk aversion, applying only new innovations to avoid the embarrassment of being left behind. 」
E The Times. “The outdated people stick to the end. They valued traditional methods of doing things and refused to apply new technologies until they were eliminated by previous systems and forced to do it. 」
Bitcoin has captured the human imagination. Bitcoin’s story is perhaps more tempting than any previous high-tech innovation. It brings the most cutting-edge innovation to one of the foundations of mankind: currency. Given the possibility of revolutionizing such a fundamental concept, Bitcoin underwent several speculative cycles in its brief history. However, it would be a serious mistake to use these cycles as grounds for denying Bitcoin. These cycles are a well-understood psychological phenomenon caused by man’s fascination with new things. Moreover, any excessive emphasis on foam is to see the trees without the forest. Because, in just 12 years, Bitcoin has grown to 135 million users worldwide, with a faster application rate than the Internet, mobile phone, or virtual banking tools, namely PayPal, in the comparable period. At the current application rate, Bitcoin will reach 1 billion users in four years. Bitcoin, like all previous innovative technologies, is following a predictable and transparent application curve, although accelerating.
Such an incremental user base, the dividend period retained to us ordinary people about how long still?
Which track should we choose during the dividend period, and what can we can and do on this track?
These will be left for everyone to sink down to think;
For me personally, why I choose quantitative trading this derivative as a long-term development track, why I choose ACI quantitative robot, below I explain this question from two aspects.
First, the above mentioned Bitcoin development rate and user growth base, then for this market must be more and more user growth base, because this is the market of mankind, is Bitcoin’s original design concept —— decentralization, in the future, more and more people will enter the huge market derived from the digital currency such as bitcoin, Ethereum; the longer time period, one year, two years or five years, this cycle youcan grasp the number of your wealth appreciation (the biggest wealth);
Second, the first thing new users enter the market must face the secondary market, retained in the secondary market will learn currency speculation and trading, so what is the biggest difference between quantitative and labor? To enter the secondary market to do trading, the first is to learn mathematics, physics and chemistry, the second is anti-humanity, to face and accept the market of every market fluctuations, the third is to establish a set of their own trading system and resolutely implement. These three points seem simple, but need the hard conditions: 1, talent; 2, systematic learning and combat; 3,5 or even over 10 years of full-time experience; otherwise why there has been a saying: one profit, two draws, two losses and seven losses. Ask, if every user can make money in the digital money market, where does the money come from? And quantitative trading it is more suitable for ordinary players, it also has a scientific name called algorithm trading, it will replace artificial strategy, with mathematical models and scientific strategy, to achieve a certain conditions, but its profit is a stable long-term absolute value, rather than the short term of wealth; because each of us enter the digital currency secondary market, the original intention is to improve life, achieve wealth growth, increase the happiness index;
Third, why do you choose the ACI quantitative robot as a tool to fry the currency?
1. Select any product to make a comparison, especially the financial industry; here put forward a core: withdrawal rate is linked to risk, and the secondary market price of digital currency fluctuates greatly, a careless will be a large withdrawal, so we choose the product is not its return rate, but two products, product recovery rate is 100%, and 50%, product 20 year rate is 70%, and the withdrawal rate is 10%, the choice is only product 2;
2. Fund utilization rate, not just play finance, as long as you do business you will understand that the nature of business is not related to fund utilization, the greater your capital utilization proves that the more you can do, the more pipeline to profit; (those who play Martin strategy)
3. The concept reflected by the ACI quantitative robot is also consistent with the personal development ideal, It is free and continuously updated and optimized for life, Of course there is no free lunch, After all, everything takes costs, It charges a small transaction fee, To mark 99.99% of the various products on the current market, All exceptions are the lowest 20% profit withdrawals, Take an example here, If 10,000 u profit 1,000 u, Excluding withdrawal servants and exchange fees, Only over 700 u, came up with While the same ACI quantized robot profits 1,000 u, with 10,000 u Remove fees, Final hand 935-940u;
4. API technology interface of trading platform, do quantitative is a core is security and stability, as the three head compliance trading platform —— currency network, I think I don’t need me to introduce, whether from the user base, trading depth or technical security, is the best choice, after all, security and stability is not what we want;
Simply summary, quantification is actually statistics
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Joshua DiChiaccio: Why Most Marketing Strategies Fail to Scale and the Systems CEOs Should Be Building Instead
San Francisco, CA, 20th April 2026, ZEX PR WIRE — For many growing companies, marketing success can feel unpredictable. A campaign performs well one quarter, only to stall the next. A new channel generates leads, but the results quickly plateau. According to marketing strategist and growth consultant Joshua DiChiaccio, the problem is rarely creativity or effort. Instead, it is a lack of scalable systems.
“Most marketing strategies fail to scale because they’re built like experiments instead of engines,” DiChiacchio explains. “Companies often chase tactics instead of building the underlying infrastructure that allows marketing to produce consistent, repeatable growth.”
Based in San Francisco, DiChiacchio has spent more than a decade helping companies in the $1 million to $100 million revenue range grow profitably. His career includes rapid advancement in the corporate world, where he earned nine promotions in just ten years before reaching the C-suite as a Chief Marketing Officer at a venture-backed startup. In 2022, he stepped away from that role to pursue entrepreneurship, building a portfolio of companies while advising founders, CEOs, and investors as a growth partner.
Throughout that journey, he has observed a common pattern: companies invest heavily in marketing tactics but neglect the systems required to sustain growth.
The Marketing Myth: More Activity Equals More Growth
Many organizations believe scaling marketing simply requires increasing activity. They launch more campaigns, expand into additional advertising channels, or hire larger marketing teams.
But according to DiChiaccio, this approach often produces diminishing returns.
“Marketing teams are incredibly talented, but they’re frequently forced to operate without a clear growth framework,” he says. “Without a system behind it, even great marketing becomes inconsistent.”
The result is what DiChiacchio describes as “random acts of marketing.” Companies invest in new strategies without aligning them to a larger revenue architecture.
In contrast, scalable organizations treat marketing as part of a structured growth system. They understand how customer acquisition connects to brand positioning, how brand drives conversion, and how conversion drives long-term customer value.
“When companies focus on building a marketing system instead of isolated campaigns, everything changes,” he notes. “Growth becomes predictable instead of accidental.”
Building the Growth Engine
DiChiaccio’s work with startups, mid-market companies, venture-backed organizations, and bootstrapped founders has led him to a clear conclusion: successful companies build marketing systems that function like revenue engines.
These systems typically include three key components.
First, companies establish a strong strategic foundation. This includes defining their ideal customer profile, positioning the brand clearly in the market, and articulating a value proposition that resonates with the target audience.
Second, scalable companies design repeatable acquisition processes. Instead of relying on one-off marketing pushes, they create structured funnels that consistently attract, nurture, and convert customers.
Third, they focus on retention and brand equity. Growth does not come solely from acquiring new customers but also from increasing the lifetime value of existing ones.
“Too many businesses focus exclusively on top-of-funnel activity,” DiChiacchio explains. “But the real power of marketing is when acquisition, brand, and retention all work together.”
Lessons from the Corporate Climb
DiChiaccio’s perspective is shaped by an unusual career trajectory. Over a ten-year-span in the corporate world, he earned nine promotions, rapidly moving through leadership ranks before becoming a Chief Marketing Officer at a venture-backed startup.
That experience gave him insight into how different organizations approach growth.
“In fast-growing companies, the pressure to deliver results can push teams toward quick wins,” he says. “But the companies that sustain growth over time are the ones that invest in infrastructure, not just tactics.”
This lesson ultimately influenced his decision to leave the corporate world and pursue a more entrepreneurial path.
In 2022, DiChiacchio stepped away from his executive role to build a portfolio of businesses while working as a growth partner with companies seeking to scale more strategically.
“I wanted to focus on helping companies build durable growth systems,” he explains. “Not just marketing campaigns that work for a quarter.”
The CEO’s Role in Marketing Success
Another common mistake DiChiacchio sees is treating marketing as a department rather than a core leadership responsibility.
“Marketing is not just a function—it’s a strategic capability,” he says. “The best CEOs understand that growth is a system that touches every part of the organization.”
This means marketing leaders must collaborate closely with product teams, sales organizations, and executive leadership to align messaging, positioning, and customer experience.
When that alignment exists, companies often see dramatic improvements in both efficiency and performance.
“When marketing operates in isolation, results suffer,” DiChiacchio explains. “But when it’s integrated into the broader business strategy, it becomes a powerful growth engine.”
A Growth Partner for Scaling Companies
Today, Joshua DiChiacchio works with founders, CEOs, and investors to help companies move beyond fragmented marketing strategies and build scalable growth frameworks.
His expertise spans a wide range of environments, from bootstrapped startups to venture-backed organizations and mid-market companies navigating rapid expansion.
He collaborates closely with venture capital firms, private equity groups, marketing agencies, and consulting firms to design growth systems tailored to each company’s unique challenges.
What sets his approach apart is a combination of strategic thinking and hands-on marketing expertise.
“As a practitioner, I’ve worked across every part of the marketing ecosystem,” DiChiacchio says. “From brand building and demand generation to revenue optimization.”
That practical experience allows him to translate high-level strategy into actionable execution.
The Future of Scalable Marketing
As markets grow more competitive and customer expectations continue to evolve, Joshua DiChiacchio believes the companies that succeed will be those that treat marketing as a strategic growth discipline rather than a collection of tactics.
“The next generation of successful businesses will be built on systems,” he says. “Systems that generate demand, build trust, and convert attention into long-term customer relationships.”
For CEOs navigating the challenges of scaling their organizations, the lesson is clear: marketing success depends less on individual campaigns and more on the infrastructure that supports them.
“When companies stop chasing tactics and start building systems,” DiChiacchio concludes, “that’s when real, sustainable growth begins.”
About Joshua DiChiaccio
Joshua DiChiacchio is a marketing strategist and growth partner based in San Francisco, California. With more than a decade of experience, he helps companies in the $1 million to $100 million range scale profitably through strategic marketing systems, revenue generation frameworks, and brand development. A former Chief Marketing Officer who earned nine promotions in ten years, Josh now works with founders, CEOs, venture capital firms, and private equity groups to build scalable growth strategies for businesses across industries.
Outside of business, Joshua is a devoted father of two and a strong supporter of his wife, Taylor, a textile designer who runs her own fashion studio. Together they enjoy traveling the world and exploring new cuisines.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Trakx expands Canton presence as CTIs become available through Five North’s Loop wallet
Trakx, the leading platform for crypto-index trading, announced that its Crypto Tradable Indices (CTIs) are now available through Five North’s Loop wallet on Canton, enabling CTIs to be held and transferred on-chain through a Canton-native wallet environment. The milestone marks a new step in the evolution of Trakx’s index products beyond the Trakx platform and into the broader infrastructure of the Canton ecosystem.
With this integration, Trakx Crypto Tradable Indices gain a new layer of accessibility and portability on-chain. By becoming available through Loop, Five North’s wallet product for Canton, CTIs can now be held and transferred across the Canton Network, an institutional-grade blockchain environment designed for privacy and interoperability.
The development is strategically significant for Trakx as it continues to strengthen the infrastructure and distribution layer surrounding its crypto index products. While CTIs have historically been accessed primarily through the Trakx platform, their availability through Loop reflects a broader shift toward interoperability, partner integration, and professional distribution models across digital assets.
“This milestone is about more than wallet availability,” said Lionel Rebibo, CEO at Trakx. “It reflects the direction we believe digital asset products need to take: beyond standalone platform access and toward deeper integration within institutional-grade blockchain infrastructure. By making CTIs available through Loop on Canton, we are taking a concrete step toward broader B2B and B2B2C distribution, stronger interoperability, and a more scalable framework for partners looking to integrate structured digital asset exposure into their own environments.”
Canton Network plays an important role in that strategy. Designed as a privacy-enabled blockchain network with a strong institutional orientation, Canton provides the type of infrastructure environment that can support on-chain issuance, asset portability, and interoperable financial workflows. For Trakx, this creates a foundation for CTIs to evolve from platform-native products into assets that can be integrated into broader access and distribution models.
Five North‘s role in the Canton ecosystem gives additional strategic relevance to the launch. As a builder and operator of core infrastructure on Canton Network, including wallets, explorers, and validator systems, Five North occupies a meaningful position within the network. Its Loop wallet provides the practical layer through which CTIs can now be held and transferred on-chain, helping translate tokenization into real ecosystem usability.
For Trakx, the move is especially relevant in the context of partner-led adoption. The company sees increasing value in enabling B2B platforms, B2B2C distributors and other professional intermediaries to access more structured and infrastructure-ready models for digital asset exposure. In that sense, the integration is not simply a technical enhancement, but part of a broader distribution strategy focused on making CTIs easier to integrate, distribute, and use across professional environments.
As digital asset markets mature, infrastructure, accessibility, and interoperability are becoming just as important as product design. With CTIs now available through Five North’s Loop wallet on Canton, Trakx is advancing its objective of building not only better crypto index products, but also better infrastructure pathways for those products to be held, transferred and integrated across the next generation of on-chain finance.
About Trakx
Trakx is a crypto index investing platform offering Crypto Tradable Indices designed to provide structured exposure to digital asset markets. Its mission is to make crypto investing simpler, more transparent, and more accessible through index-based products built for both individual and professional use.
Contact Information
Gary Rebibo | CMO at Trakx | gary@trakx.io
Website | LinkedIn | X/Twitter | Discord | Telegram
Media Contact
Organization: Trakx
Contact Person: Gary Rebibo
Website: https://trakx.io/
Email: Send Email
City: Paris
State: France
Country:France
Release id:44145
The post Trakx expands Canton presence as CTIs become available through Five North’s Loop wallet appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
General Compute today announced its inference cloud platform built for AI agents, working with early partners now ahead of general availability on May 15, 2026. The platform runs on purpose-built AI accelerators rather than general-purpose GPUs. More information is available at generalcompute.com.
SAN FRANCISCO — April 18, 2026 — General Compute Inc. today announced its inference cloud platform, which is designed for AI agent workloads. The company is working with early partners now, with general availability scheduled for May 15, 2026.
The platform runs on purpose-built AI accelerators rather than general-purpose graphics processors. Its architecture separates the prefill and decode stages of inference processing, allowing each stage to be scaled independently based on workload.
The platform is built to serve AI agents that make high volumes of LLM inference and tool calls, including AI agents that provision their own compute programmatically.
“The last 20 years we built for developers, the next 20 we will build for agents. On General Compute, AI agents can sign up on their own and provision their own inference. Our docs and API are optimized for both human and AI agent consumption,” said Jason Goodison, co-founder and Chief Technology Officer of General Compute.
Platform Overview
The platform offers an industry-standard API, allowing developers to integrate it into existing applications with minimal code changes. AI agents and developers alike can sign up, provision API keys, and begin making inference calls programmatically.
At launch, the platform will offer access to a range of open-source LLMs across multiple model families and parameter sizes. Customers can also deploy their own models on the company’s infrastructure.
Infrastructure
General Compute’s data center infrastructure operates on hydroelectric power. The company states that its accelerator hardware is air-cooled, and that its racks operate at lower power densities than comparable installations built on general-purpose processors.
The company publishes technical performance data for its platform on its website.
Availability
General Compute is working with early partners now, with general availability beginning May 15, 2026. Enterprise inquiries regarding dedicated infrastructure, service level agreements, and capacity planning may be directed to jason@generalcompute.com
About General Compute
General Compute Inc. is an inference cloud company headquartered in California. The company was founded by Jason Goodison and Finn Puklowski.
Contact
Jason Goodison, Co-founder and Chief Technology Officer General Compute Inc. jason@generalcompute.com generalcompute.com
Media Contact
Organization: General Compute Inc
Contact Person: Jason Goodison
Website: https://generalcompute.com
Email:
jason@generalcompute.com
Contact Number: +14257537667
Address:440 North Barranca Avenue
Address 2: 3780
City: Covina
State: California
Country:United States
Release id:44077
The post General Compute Launches ASIC-First Inference Cloud for Autonomous AI Agents appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Joshua DiChiaccio: Why Most Marketing Strategies Fail to Scale and the Systems CEOs Should Be Building Instead
Trakx expands Canton presence as CTIs become available through Five North’s Loop wallet
General Compute Launches ASIC-First Inference Cloud for Autonomous AI Agents
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