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The importance of sustainability: Why eco-friendly blockchains are the future

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As more and more decentralized applications (DApps), such as GameFi, DeFi, NFTs, and more, are being developed, heated discussions about the environmental impact of blockchain and cryptocurrency have reignited once more. Especially after China’s crackdown on cryptocurrency mining activities, public debates about blockchain and crypto-related energy consumption rates have reached a climax.

Proof of Work’s environmental impact

Since the birth of Bitcoin, the Proof of Work (PoW) consensus mechanism has always been fundamental to the security of blockchain networks. This consensus is reached through computing power, commonly referred to as hash rate.

Over time as blockchain technology is being adopted by the world, the energy consumption rate of the entire blockchain network has skyrocketed, leading to significant environmental costs. The University of Cambridge estimates that Bitcoin mining consumes about 130 TWh per year, accounting for about 0.1% of the world’s total primary energy consumption.

As far as DApp development is concerned, energy consumption-related environmental issues are mostly derived from Ethereum mining, since Ethereum is a PoW blockchain with the largest ecosystem full of projects in varying sizes. With the recent London hard fork, the transition to Ethereum 2.0-a complete Proof of Stake (PoS) blockchain, will be completed as early as 2022. As a result, the current energy consumption per transaction on Ethereum is about 35 kWh, which is equivalent to the energy consumption of a single person in developing countries for 3 days.

The true cost of DApp transactions

While mass crypto adoption is happening around the world, DApps and their applicability will eventually catch up. New projects such as wealth management applications, lending platforms, decentralized exchanges (DEX), NFT-inspired metaverses, and more, that are gradually taking over social media and our lives are the ultimate proof. If you have been paying attention to what’s happening around you, the crypto community’s passion and loyalty towards decentralized, immutable technology are clearly reflected in the real world.

That is certainly good news for crypto enthusiasts, but for the environment, it’s an entirely different story. Take NFTs for example. Memo Atken, a digital artist and engineer, estimates that the true cost of an NFT is much higher than a typical energy consumption of a transaction on Ethereum (35 kWh). He believes that NFT-related transactions will cost much more because all NFTs have to be minted and exchanged multiple times on the blockchain.

He is certainly correct. In fact, an NFT’s creation and distribution do not only consist of a simple mint and sale process. There will be many subsequent transactions made by collectors and traders, which makes the average carbon footprint of each NFT close to 340kWh (an average of 211 kg of CO2), equivalent to a single person’s energy consumption in a developed country for more than a month.

Why eco-friendly blockchains are favored by developers

In early 2021, several public blockchains underwent considerable ecosystem expansion, such as ThunderCore, Solana, Polkadot, and Binance Smart Chain. These blockchains’ ecosystems are in full bloom, as decentralized projects like DAOs, Oracles, Token Bridges, DeFi protocols, NFT marketplaces, blockchain games, and more, are being deployed consistently. There are many reasons for the expansion of these networks, but one thing they all have in common is that none of them utilize a PoW consensus mechanism (meaning zero physical mining facilities are used). Instead, novel mechanisms, such as PoS, that allow on-chain staking and other models to replace PoW are applied.

Among them, the ThunderCore blockchain uses the state-of-the-art PoS consensus mechanism, PaLa, which not only solves the “scalability trilemma”, but also supports the chain’s entire ecosystem with cheap renewable energy. ThunderCore is an eco-friendly public blockchain, and its CO2 emissions, resulting from on-chain transactions, are reduced by more than 10,000x. For example, its block creation does not require the support of large amounts of energy resources like Bitcoin and Ethereum do. ThunderCore is also EVM compatible, which allows the rapid migration and deployment of Ethereum projects. With low gas fees (<$0.00001), sub-second confirmations, and 4,000+ TPS, ThunderCore has become a platform favored by developers from the world over.

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Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series

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A bestselling voice in contemporary romance trades swoon for suspense in a chilling debut thriller where no one is telling the whole truth.

United States, 3rd Jun 2026 — Some secrets don’t stay buried. They grow roots. With that haunting promise, indie author Candace Nicole introduces Tangled Roots, the chilling first installment of her new psychological thriller series, The Root Series — now available to readers everywhere.

A bold departure into darker territory for the author known for “love, lies and everything in between,” Tangled Roots opens twelve years after Clark Delaine drowned at his lakehouse. The police ruled it an accident. They were wrong. When an anonymous letter surfaces, threatening to drag the truth into the light, five strangers who have spent more than a decade burying that truth find their carefully separated lives suddenly — and dangerously — colliding.

As the past claws its way back, dark secrets emerge about the man everyone believed they knew. And in a story where no one is telling the whole truth, the most devastating revelation is the one no reader will see coming.

“This book lives in the space between what people show the world and what they hide from it,” said Candace Nicole. “I wanted to write something that keeps readers up at night, second-guessing every character — including the ones they trust.”

Candace Nicole is a Central Virginia–based indie author whose work spans contemporary romance and psychological suspense. An avid reader since childhood, she writes with a mind full of characters demanding their stories be told, bringing equal parts heart and intensity to every page. Tangled Roots marks an ambitious new chapter — trading the swoon for the slow burn while keeping the emotional depth her readers have come to love.

For fans of unreliable narrators, simmering mystery, and twist-driven suspense, Tangled Roots is the kind of book best read with the doors locked.

Tangled Roots is available now, including signed copies, at www.cnbookseries.com. Readers can connect with Candace Nicole across all platforms at linktr.ee/cnbookseries.

MEDIA CONTACT

Author Candace Nicole

Cnbookseries

cnbookseries.media@gmail.com

Media Contact

Organization: Cnbookseries

Contact Person: Author Candace Nicole

Website: https://linktr.ee/cnbookseries

Email: Send Email

Country:United States

Release id:45653

The post Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series 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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Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence

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Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.

Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.

The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.

Why Now

The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.

Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.

Inside the Platform

SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.

The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.

Capabilities

The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.

Beta Access and Early Users

SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.

Founder

SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.

About Nxapredict Analytics LLC

Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.

Media Contact

Daniel Sibanda

Founder, Nxapredict Analytics LLC

Email: daniel@signaliqintelligence.com

Website: https://signaliqintelligence.com 

Media Contact

Organization: Nxapredict Analytics LLC

Contact Person: Daniel Sibanda

Website: https://signaliqintelligence.com

Email: Send Email

Contact Number: +12673361270

Address:9318 Ditman Street

City: Philadelphia,PA

State: PA

Country:United States

Release id:45643

The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence 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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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.

Continue Reading

Press Release

Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence

Published

on

Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.

Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.

The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.

Why Now

The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.

Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.

Inside the Platform

SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.

The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.

Capabilities

The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.

Beta Access and Early Users

SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.

Founder

SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.

About Nxapredict Analytics LLC

Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.

Media Contact

Daniel Sibanda

Founder, Nxapredict Analytics LLC

Email: daniel@signaliqintelligence.com

Website: https://signaliqintelligence.com 

Media Contact

Organization: Nxapredict Analytics LLC

Contact Person: Daniel Sibanda

Website: https://signaliqintelligence.com

Email: Send Email

Contact Number: +12673361270

Address:9318 Ditman Street

City: Philadelphia,PA

State: PA

Country:United States

Release id:45643

The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence 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

file

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.

Continue Reading

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