At the center of the discussion lies the competition for electricity usage among miners and its potential impact on the hash power of the Bitcoin network.

Electricity Competition Between Artificial Intelligence and Bitcoin Mining

According to crypto trader Ran Neuner, the artificial intelligence sector has become one of the biggest competitors facing Bitcoin mining. Neuner points out that both sectors consume large amounts of electricity, but artificial intelligence data centers can generate significantly higher revenue from the same energy.

According to Neuner’s assessment, revenue per megawatt in Bitcoin mining ranges from approximately $57 to $129, while in artificial intelligence data centers this figure can reach $200 to $500 levels. It is stated that this difference is causing some miners to shift their operations toward the artificial intelligence side.

Some developments signaling this transition are also noteworthy. It is reported that Core Scientific has secured up to $1 billion in credit for artificial intelligence hosting services, MARA Holdings has filed an application indicating plans to sell a portion of its Bitcoin holdings as part of its artificial intelligence strategy, and Hut 8 has signed a $7 billion artificial intelligence infrastructure agreement with Google.

Network Security Debate

Neuner argues that miners leaving the network could lead to a decline in hash rate, which in theory could increase the risk of a 51% attack. Indeed, the total hash power of the Bitcoin network has declined by approximately 14.5% from its peak level reached in October.

However, there are also those who disagree with this view. According to Adam Back, one of Bitcoin’s early developers and a cryptographer, Bitcoin’s difficulty adjustment mechanism is designed precisely for such situations. Since mining difficulty adjusts automatically, while inefficient miners exit the system, the profitability of the remaining miners can increase.

Similarly, investor Fred Krueger states that in the event of rising electricity prices, some miners may temporarily halt operations, but mining can become profitable again following the difficulty adjustment.

Energy Usage and Alternative Views

Bitcoin ESG expert Daniel Batten approaches the discussion from a different perspective. According to Batten, data shows that the growth of the artificial intelligence sector is actually dependent on Bitcoin mining in some cases.

Batten argues that Bitcoin mining can utilize unused energy sources, act as a flexible load balancer in energy grids, and operate with cheaper energy sources.

Bitcoin Price Could Be Decisive

According to Ran Neuner, one of the most important factors determining whether miners will shift toward artificial intelligence will be the trajectory of Bitcoin’s price. In his view, a strong price rally could keep miners in the network.

Bitcoin’s price has recently gone through a challenging period, recording five consecutive months of declines. This situation was last seen during the bear market in 2018. Nevertheless, March has so far shown a positive picture, with Bitcoin’s price rising approximately 8% since the beginning of the month.

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Although there is significant liquidity in the blockchain ecosystem today, this capital often cannot directly access real-world assets. RWALayer provides an infrastructure developed to solve this problem. The platform aims to enable the creation of digital representations of various asset classes—from real estate to commodities, bonds to private credit—and allow these assets to be traded on the blockchain.

RWALayer also targets simplifying processes for both asset-issuing institutions and investors by using AI-powered tools. This approach creates an ecosystem that aims to make the tokenization of real-world assets faster, more efficient, and accessible to a broader user base.

Core Objective of RWALayer (VIRTUALAI)

The starting point of RWALayer is to reduce the disconnect between the crypto market and traditional financial markets. While blockchain technology provides a strong infrastructure for digital assets, trillions of dollars worth of real-world assets remain outside this ecosystem.

The platform’s approach is not to directly “move” these assets onto the blockchain, but to make them accessible through their digital representations. This way, investors can reach assets in the traditional financial world through blockchain-based applications.

One of RWALayer’s goals is to bring real-world assets into the blockchain ecosystem and include millions of new users in the RWA economy. The platform aims to serve as a bridge between asset-issuing institutions and developers shaping the market.

AI-Powered RWA Ecosystem

One of the standout features of RWALayer is the integration of artificial intelligence technologies into the platform’s operations. The system is designed to operate with an AI infrastructure supported by leading large language model providers worldwide.

These AI tools assist investors in various areas. For example, they come into play for analyzing investment opportunities in different markets, tracking portfolio performance, and optimizing transaction processes.

The aim is not only to make the trading of real-world assets technically possible but also to enhance the user experience. This allows investors to manage their portfolios without dealing with complex financial processes.

RWA on a Single Platform with RWALayer (VIRTUALAI)

The RWALayer platform aims to make different asset types accessible through a single application. This structure enables users to reach various financial instruments within the same ecosystem.

The main asset categories planned to be included on the platform are as follows:

Government Bonds and Corporate Bonds

RWALayer aims to provide solutions for accessing government bonds through stablecoins. It also offers access to corporate bond markets through regulated on-chain funds as one of the options provided by the platform.

Real Estate

The real estate market is one of the most important use cases for RWA tokenization. RWALayer offers a real estate trading infrastructure that aims to make returns based on real properties worldwide accessible through the blockchain.

Thanks to this system, users can access real estate investments in different regions through digital assets.

Commodities

Commodities such as gold, silver, and copper are also among the asset categories on the platform. RWALayer aims to enable trading through digital representations of these commodities.

This approach targets making access to traditional commodity markets easier.

Private Credit

The platform also provides solutions for representing private credit provided to small and medium-sized enterprises on the blockchain. This model aims to create a new financial structure that connects businesses seeking financing with investors.

Alternative Investments

In the RWALayer ecosystem, access to alternative asset classes such as private equity investments, collectibles, and works of art may also be possible. While these types of investments are typically available only to a limited investor base in traditional markets, tokenization enables them to reach a wider user base.

DeFi Staking

The platform is not limited to real-world assets. Users can also lock their assets in smart contracts through DeFi staking mechanisms to earn yield.

This feature provides an additional financial tool that allows users to generate passive income.

Institutional-Level Access

The solutions offered by RWALayer do not target only individual investors. The platform is also designed as an infrastructure that aims to provide institutional-level asset access.

Making different asset classes—such as real estate, commodities, bonds, and alternative investments—accessible through a single application aims to eliminate some of the bureaucratic processes in the traditional financial system.

This approach can make investment processes faster and more efficient.

Transparency and Security

Transparency of tokenized assets is a key element in the RWALayer ecosystem. Thanks to blockchain technology, investors can track the performance and structure of the assets they hold more clearly.

The platform aims to create transparency in investment processes by providing users with more information about their portfolios.

Reward System for Trading Users

One of the notable features of the RWALayer platform is the reward mechanism created for users who perform transactions.

The system aims to reward users for buy and sell transactions carried out through the application. This way, users can earn additional incentives while managing their portfolios.

This model is designed to increase transaction volume on the platform and encourage users to be more active within the ecosystem.

RWALayer (VIRTUALAI) Airdrop Program

The RWALayer ecosystem may include airdrop programs to increase user participation. The number of wallets connected to the platform is considered an important metric in such campaigns.

Airdrop campaigns are one of the methods used to reward early users of the platform and accelerate community growth.

RWALayer (VIRTUALAI) Tokenomics

The native token of the RWALayer ecosystem is called VIRTUALAI. The token economy has been created within a specific supply structure and distribution plan.

The total supply has been set at 1 billion VIRTUALAI tokens.

The circulating supply is approximately 370 million tokens.

According to the project’s initial data, the market value is around $1.11 million. The fully diluted valuation (FDV) is stated to be approximately $3 million.

The token distribution is divided into different categories:

• Public and KOL round: 30%
• Liquidity: 25%
• Foundation reserve: 15%
• DEX and market making: 15%
• Other categories: 15%

This distribution has been created to both support ecosystem development and provide market liquidity.

Official Links

• Website
• X (Twitter)

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One of NitroDome’s main goals is to strengthen the concept of true digital asset ownership, which is increasingly discussed in the gaming world. By enabling in-game items to be converted into NFT format, the platform allows players to freely buy, sell, or utilize these assets on other platforms. This transforms in-game assets from mere elements used within the game into digital assets with real economic value.

At the same time, NitroDome offers a comprehensive infrastructure that brings together gaming, DeFi, and the digital asset economy. AI-powered tools, NFT trading platforms, and decentralized financial mechanisms are among the core components of the platform.

NitroDome (NTD) Ecosystem

NitroDome is designed not just as a gaming platform, but as a multi-layered digital economy serving game developers, players, and investors. The platform contains various products and services tailored to different needs.

Nitro Portal

Nitro Portal serves as a bridge between the traditional internet-based gaming world and Web3 technologies. This system enables seamless integration between classic game infrastructures and blockchain applications.

Developers can integrate Web3 features into the platform without having to rewrite their existing games. This is one of the key elements that makes NitroDome developer-friendly.

Nitro Marketplace

Nitro Marketplace is at the center of the platform’s digital asset economy. Users can create, buy, sell, or trade their in-game assets as NFTs here.

This marketplace functions as a trading space where players can monetize their digital collections and developers can grow their in-game economies.

Nitro Digital Collectible Marketplace

Within the platform, there is also a decentralized NFT trading system. This structure allows users to buy and sell various NFT assets without intermediaries.

Thanks to the decentralized structure, users have full control over their digital assets, and transactions are securely executed on the blockchain.

Nitro Experiences

Representing the entertainment side of the NitroDome ecosystem, Nitro Experiences offers players different gaming experiences that combine strategy, competition, and exploration elements.

The platform aims to host three large-scale game projects within the ecosystem, each with distinct game mechanics. These games are defined as projects aiming to deliver AAA-quality experiences.

Nitro Digital Evolution

Nitro Digital Evolution is the infrastructure layer focused on combining traditional online services with next-generation digital ledger technologies. This system enables seamless transitions between Web2 and Web3 applications.

Core Features of NitroDome (NTD)

NitroDome offers various features that bring gaming and blockchain technologies together. These features aim to allow both players and developers to get the maximum benefit from the platform.

Gaming Ecosystem

One of NitroDome’s most important components is its broad gaming ecosystem.

The platform plans to feature games of different genres. These games aim to appeal to a wide player base by offering adventure, strategy, and competition-focused experiences.

Additionally, the platform has cross-platform integration that allows in-game assets to be used across multiple games. This enables players to utilize their digital assets in different games.

NFT-Based Digital Asset Economy

One of NitroDome’s standout features is its NFT-based digital asset economy.

The platform enables in-game items to be converted into NFT format. This way, players become true owners of the assets they possess.

These assets can be:

• Bought and sold
• Traded
• Used within the game

This system makes the game economy more transparent and player-centric.

NFT DEX

The NitroDome ecosystem includes a decentralized exchange for trading NFT assets.

Called NitroNFTDEX, this system allows users to trade NFT assets directly with other users.

Thanks to this structure, no intermediaries are needed, and transactions occur entirely on the blockchain.

NitroAMM

The platform also uses automated market maker (AMM) mechanisms to make NFT trading more efficient. This system enables fast and uninterrupted NFT transactions through liquidity pools.

AI-Powered Gaming Experience

Another notable component of NitroDome is the AI-powered system called NitroAI Assistant.

This tool can provide various analyses and suggestions to enhance players’ gaming experiences. AI integration aims to make game mechanics more dynamic and interactive.

Web2 and Web3 Integration

One of NitroDome’s most important strategic features is its hybrid structure that brings together Web2 and Web3 worlds.

While traditional gaming platforms usually operate on centralized infrastructures, Web3 games rely on blockchain-based systems. NitroDome combines these two approaches, allowing users to enjoy both classic gaming experiences and blockchain advantages on the same platform.

Thanks to this integration:

• Developers can easily integrate Web3 features
• Players can use the platform without dealing with complex blockchain processes
• The game economy becomes more transparent

Technological Infrastructure

NitroDome’s infrastructure is built on high-performance and scalable systems.

High Scalability

The platform uses cloud-based solutions optimized for high gaming traffic and transaction volumes. This ensures the system remains stable even under a large number of users and transactions.

Security

NitroDome places great importance on user security. Among the security measures used on the platform are:

• Advanced encryption techniques
• Regular security audits
• Blockchain-based transaction verification mechanisms

These methods aim to protect user data and digital assets.

Community and Developer Support

NitroDome is a platform that offers opportunities not only for players but also for content creators and developers.

Support for Game Asset Creators

The platform provides infrastructure that allows game developers and digital content creators to create and monetize their own in-game assets.

Thanks to this system:

• Developers can create their own NFT assets
• List these assets for sale on the platform
• Expand the game economy

Community Participation

Community feedback plays an important role in the NitroDome ecosystem. It is stated that user opinions are valued in the platform development processes.

This approach aims to make the platform develop in a more user-centric way.

How Does the NitroDome (NTD) NFT System Work?

In NitroDome, NFTs are used as unique digital assets representing in-game items or digital collectibles.

These NFTs can represent:

• In-game equipment
• Digital collectibles
• Game advantages

Users can buy, sell, or trade these assets on NitroDome’s NFT marketplace.

The most important advantage of the NFT system is that players gain true ownership over their digital assets.

NitroDome (NTD) Payment Systems

Although NitroDome centers blockchain technology, it aims to appeal to different user profiles.

Therefore, transactions on the platform are generally carried out with digital currencies. However, the platform is also considering different payment methods to increase accessibility.

NitroDome (NTD) Tokenomics

The native cryptocurrency asset of the NitroDome ecosystem is called the NTD token.

The token economy has been created within a specific distribution plan to support the platform’s growth and sustainability.

Key Data

• Market Cap: 867.60K dollars
• FDV: 9.00 million dollars
• Circulating Supply: 9.64 million NTD
• Total Supply: 100 million NTD

Token Distribution

The NTD token supply has been distributed across different use cases:

• Ecosystem Development: 30%
• Community: 13%
• Team: 12%
• Marketing: 11%
• Public Sale: 3.89%
• Other: 34%

This distribution has been prepared to support the platform’s long-term growth and finance ecosystem development activities.

NitroDome (NTD) Team

The NitroDome project is being developed by a team experienced in game development, blockchain technologies, and digital design. The team consists of professionals working in various areas from the platform’s technical infrastructure to marketing strategies.

The project’s management and development team includes the following names:

• Gorden Kirisits — CEO / Founder
• Paul West — CTO / Co-Founder
• Oliver — CFO
• Dennis F. Arnold — 3D Artist & Brand Designer
• Ravi Rasadiya — Game Developer
• João Novo — Game Developer
• Nicole — Social Media Manager
• OMNI — CMO | Marketing

Official Links

• Website
• X (Twitter)

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Its main goal is to make users’ product search, comparison, and purchase processes faster, more efficient, and more decentralized.

Core Problems Encountered in E-Commerce

Pulsebot AI’s point of origin is based on the structural problems experienced in online shopping. Today, users face the following challenges:

1. Excessive Product Options Hundreds of thousands of products listed on different platforms can overwhelm consumers in the decision-making process. Having dozens of alternatives in the same category often makes selection more complicated rather than easier.
2. Lack of Assistance Users usually have to navigate manually between search engine results. Clicking on product links one by one, comparing features, and switching between different sites creates a time-consuming process.
3. Price Differences The same product being listed at varying prices on different e-commerce sites makes finding the “best price” difficult. Without real-time comparison, users may end up paying higher prices.
4. Complexity of Payment Processes High transaction fees and long approval times in international shopping can negatively affect the user experience. Traditional payment methods can be costly, especially in cross-border transactions.

Pulsebot AI aims to solve these four core problems by combining artificial intelligence and crypto infrastructure.

What is PulseAI?

PulseAI is an advanced artificial intelligence platform that helps businesses automate customer interactions, perform data analysis, and deliver personalized experiences. Thanks to machine learning algorithms, it analyzes user behavior and improves its performance over time.

How Does Pulsebot AI (PBT) Work?

Pulsebot AI uses advanced machine learning algorithms to analyze user queries and aggregate product data from different platforms. The system filters search results to create the most suitable product set.

AI-Powered Product Discovery

The platform analyzes product links, prices, ratings, and other relevant data according to user preferences. The goal is to eliminate unnecessary results and quickly present the most suitable options. This way, users encounter an optimized recommendation list instead of browsing dozens of pages.

Real-Time Price Comparison

Pulsebot AI scans the prices of a product across different stores simultaneously. Thus, the user can see price differences through a single interface and evaluate the most advantageous option without wasting time.

Crypto Payment Integration

The platform offers payment with cryptocurrency. Supported assets include Solana (SOL), Bitcoin (BTC), Ethereum (ETH), and Pulsebot’s native token PBT. This structure aims to reduce dependence on traditional banking systems and provide a faster transaction experience.

User-Friendly Interface

Designed to be usable without requiring technical knowledge, the platform simplifies product comparison and the payment process. For users who want advanced customization, technical knowledge can provide an advantage, but no coding knowledge is required for basic usage.

Pulsebot AI (PBT) Features

• AI-powered shopping assistant
• Product discovery and personalized recommendations
• Real-time price comparison
• Crypto payment support
• In-platform reward system
• Blockchain-based transparent transaction infrastructure

Users can earn PBT tokens through platform interactions and the referral system. Additionally, token holders can earn extra rewards through the staking mechanism.

Pulsebot AI (PBT) Tokenomics

The native token of the Pulsebot AI ecosystem is PBT. The total supply has been set at 1,000,000,000 tokens. The token distribution is as follows:

• 37.5% Public Sale
• 12.5% Liquidity Pool
• 10% Marketing and Operations
• 5% Yappers & Stakers Rewards
• 10% Treasury
• 15% Team
• 10% Community

Token distribution will be carried out gradually according to a specific vesting plan. The purpose of this model is to encourage long-term participation and support sustainable growth.

Staking Mechanism

PBT holders will be able to stake their tokens to earn additional rewards. In the planned system, the reward rate is targeted to increase as the staking duration increases.

Pulsebot AI (PBT) Token Use Cases

The Pulsebot Token (PBT) has various functions within the platform:

• Payments for products and services
• Earning in-platform rewards
• Staking and passive income
• Participation in governance processes

It can also be used as a marketing and payment tool for store owners. Accepting crypto payments can reduce transaction fees and provide access to a broader customer base.

Opportunities for Store Owners

Pulsebot AI aims to provide solutions not only to consumers but also to e-commerce businesses. Through the platform, the following advantages can be offered:

• More traffic and sales potential
• Crypto payment integration
• AI-powered user insights
• Blockchain-based transparent interactions

Pulsebot AI (PBT) Team

The Pulsebot AI team consists of artificial intelligence engineers, blockchain developers, e-commerce specialists, and product managers.

• AI engineers: Machine learning and natural language processing
• Blockchain developers: Smart contracts and crypto integration
• E-commerce specialists: Digital marketing and online sales
• Product managers: User experience and market alignment

This multi-disciplinary structure aims to provide an approach that is proficient in both the crypto and retail ecosystems.

Official Links

• Website
• X (Twitter)
• Whitepaper

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At the center of this ecosystem is the $NEBA token. NEBA is designed as a utility token that powers the economic flow within the platform. It plays an active role both in merchants’ access to platform services and in the user reward mechanism.

What Does Next Basket (NEBA) Aim For?

Next Basket is a comprehensive SaaS ecosystem that seeks to integrate the Web2 and Web3 worlds with an AI-powered autonomous e-commerce model.

While simplifying store setup, the platform optimizes operational processes with AI agents. The $NEBA token forms the economic center of this system through payment, cashback, staking, and revenue-sharing mechanisms.

One of the key elements that distinguishes the project from classic speculative crypto projects is that it offers a token demand model based on real commercial activity. The combination of Web2 revenue streams with Web3 incentive mechanisms aims to create a sustainable economic cycle.

Next Basket’s success will depend on the growth of the platform’s SaaS side and the adoption rate of the AI-powered autonomous commerce model.

The Core Problem in E-Commerce: Sustainability Crisis

Although the e-commerce market has reached trillions of dollars in volume today, the picture is quite challenging for small and medium-sized entrepreneurs. According to data, 9 out of every 10 online stores cease operations within the first four months. The main reasons are lack of technical knowledge, insufficient marketing, operational complexity, and high management costs.

Building and sustaining a modern digital business requires expertise in many areas such as ERP integrations, inventory planning, price optimization, ad management, and customer experience. Traditional e-commerce infrastructures do not provide sufficient automation to reduce this complexity.

This is exactly where Next Basket comes in. With its “Autonomous E-Commerce” vision, the platform aims to allow users to set up a store in just 3 hours and have that store largely managed by artificial intelligence agents.

How Does Next Basket (NEBA) Work?

The platform delivers all the software layers an online business needs in an integrated structure. Warehouse software, ERP systems, customer management tools, and marketing modules are combined into a single ecosystem.

The most important difference of the system lies in its autonomous artificial intelligence agents. These digital agents are not just tools; they act almost like digital employees of the business.

These AI agents:

• Manage and optimize marketing campaigns
• Perform real-time price analysis to determine the most suitable price
• Monitor inventory 24/7
• Analyze inventory and sales data to generate strategic recommendations

The platform’s modern microservices architecture offers a much more flexible structure compared to old-style monolithic systems. This allows new AI modules to be integrated into the system quickly. As a result, store owners can continuously adapt to technological developments.

The Bridge Between Web2 and Web3

Although the global e-commerce market has a huge volume, a truly sustainable integration model between traditional business models and the crypto economy has not yet been fully established.

While there are numerous speculative tokens in the market, projects directly linked to real commercial activity remain limited. Next Basket aims to combine Web2’s stable revenue model with Web3’s tokenization potential.

Thanks to this structure, real e-commerce activity on the platform directly creates demand for the $NEBA token economy.

What is the Next Basket (NEBA) Token and What Does It Do?

$NEBA is a utility token designed as the economic fuel of the Next Basket ecosystem. The value of the token is directly tied to the platform’s growth and revenue model.

Its main use cases are as follows:

1. Payment and Access Mechanism Store owners pay platform subscription fees with $NEBA. This payment model provides access to premium AI modules without additional fees.
2. Cashback Mechanism With every purchase on the platform, customers earn 0.5% $NEBA cashback. These tokens are purchased in real-time from the market by the platform, creating organic demand.
3. Staking and Real Revenue Sharing $NEBA holders can stake their tokens to earn rewards in USDC. These rewards are funded from 1% of the company’s monthly SaaS revenue and come with a minimum guarantee of $10,000.

This model is based on real revenue sharing rather than inflationary token distribution. Revenue transparency is supported by the Proof of Revenue system and dNFT receipts.

This structure creates a sustainable cycle (economic flywheel) in which Web2 revenues are integrated into the Web3 token economy.

The Age of Autonomous E-Commerce

The e-commerce paradigm is undergoing transformation. In the future, a significant portion of product discovery and purchasing processes may occur directly through artificial intelligence models.

In this scenario, the role of online stores is changing. Websites are no longer just storefronts; they are transforming into data hubs integrated with AI agents.

Next Basket offers a model centered on this transformation. By minimizing human intervention, it aims to reduce operational costs and help entrepreneurs overcome technical barriers.

It stands out as a remarkable advantage especially for professionals working in computer-based jobs and seeking new business opportunities, by allowing them to start a business without requiring technical knowledge.

Next Basket (NEBA) Tokenomics

The NEBA token distribution is planned as follows:

• Token Sale: %26.5
• Reserve: %25
• Marketing & Airdrop: %18
• Team & Advisors: %13
• Ecosystem: %10
• Liquidity: %7.5

The pre-sale price has been set at $0.008, while the TGE (Token Generation Event) price is planned at $0.024.

This distribution structure aims to support ecosystem growth while ensuring long-term sustainability.

Official Links

• Website
• X (Twitter)
• Whitepaper

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This approach is based on a future model where, unlike today’s fragmented user experience across hundreds of applications, all interactions will be conducted through a single, trusted digital entity. Kindred’s ultimate goal is to become a continuously evolving, personalized AI presence that users turn to for everything.

Core Problem Addressed by Kindred Labs (KIN)

According to Kindred Labs, the biggest problem with current AI systems is that they are “lifeless.” Although existing AI applications possess high cognitive capacity, they lack emotional intelligence and therefore struggle to form lasting bonds with users.

Low User Retention Rates

While traditional social applications maintain an average DAU/MAU ratio of 51%, AI-focused applications remain at around 14%. This gap demonstrates that AI fails to create emotional resonance with users and therefore cannot generate long-term engagement.

Unscalable Revenue Models

Across the entire generative AI sector, there are only about 20 million paying users, whereas platforms like Netflix have reached hundreds of millions of subscribers. Although AI applications can achieve rapid user acquisition, they struggle to generate sustainable revenue due to their inability to create emotional attachment.

Exclusion from the Mainstream Market

Current AI solutions are limited to a user base of approximately 300 million people, primarily focused on productivity and work-related use cases. This figure represents only 5.5% of total internet users. The remaining 94.5% lack solutions that address emotional experience and connection needs.

Limitations of the Web3 AI Ecosystem

Kindred argues that AI agents in the Web3 world face a similar deadlock. Existing AI agent projects are mostly confined to closed, speculative ecosystems that appeal to a limited investor audience. This structure:

• Makes it difficult to reach mainstream users
• Focuses on short-term value expectations rather than long-term interaction
• Fails to produce meaningful real-world utility

Additionally, unlicensed IP usage and the copyright crisis stand out as one of the biggest structural risks facing the AI sector.

Kindred Labs (KIN) Solution: Emotional Intelligence Through Iconic IPs

Kindred Labs’ solution is to redefine AI through emotionally connectable characters. The platform transforms globally recognized and licensed intellectual properties (IPs) into living, learning, and evolving AI entities.

This allows users to interact not with an unfamiliar AI from scratch, but with a character they already know and can form an emotional bond with. This approach accelerates trust-building while also increasing user retention rates.

What are Kindreds?

Kindreds are digital AI agents developed by Kindred Labs. However, these agents are not classic “assistants.” Kindreds are designed as:

• Learning
• Remembering
• Emotionally responsive
• Evolving together with the user

digital companions. The goal is to go beyond utility-focused interaction and establish a personal and lasting relationship.

Mind, Body, Soul Framework

The foundation of the Kindred ecosystem is built on a three-part structure:

Mind

Represents cognitive intelligence. It understands user behavior, preferences, and context to generate personalized responses. Learning, prediction, and problem-solving occur at this layer.

Body

Provides continuity across devices and platforms. It delivers a seamless experience between mobile, wearables, XR platforms, and future hardware.

Soul

The center of emotional intelligence. Empathy, ethical stance, and trust are built at this layer. Soul transforms Kindreds from mechanical systems into “human-like” entities.

Revenue Model: AI Companions as Revenue Engines

Kindreds do not merely make suggestions; by deeply analyzing user preferences, they directly facilitate the purchasing process. The platform earns a share from transactions in areas such as shopping, travel, dining, and lifestyle.

This revenue model:

• Touches multi-trillion-dollar industries
• Is shared with IP owners and content creators
• Enables the ecosystem to self-finance

What is the Kindred Labs (KIN) Token?

$KIN is the native token of the Kindred ecosystem and directly supports the system’s operations. The tokenomics structure targets long-term sustainability rather than short-term speculation.

Kindred Labs (KIN) Token Distribution

• Community: 58.3%
• Community Growth: 31.8%
• Ecosystem & Foundation: 26.5%
• Core Contributors: 26%
• Early Supporters: 10.7%

Kindred Labs (KIN) Token Use Cases

• Participation in ecosystem governance
• AI compute power and compute credits
• Licensed IP packages and personalization
• AI tools and capability marketplace
• Team and multi-user licenses
• API calls and agent-to-agent interactions
• Memory, synchronization, and data storage

Kindred Labs (KIN) Partners and Backers

The Kindred ecosystem has strong backing from both technology and entertainment worlds.

• Ecosystem Supporters: Stellar, Nvidia, Protocol Labs, CoinMarketCap, SkyMavis, ElevenLabs
• Official Partners: Teletubbies, Neopets, Pudgy Penguins, Axie Infinity, B.Duck, Imaginary Ones, and others

Kindred Labs (KIN) Team

Kindred’s leadership team consists of experienced names in AI, Web3, and global IP projects. Technical excellence is combined with creative design understanding.

• Max Giammario (Co-Founder / CEO): A visionary entrepreneur in human–AI interaction. He has two successful startup exits, and his doctoral work shapes Kindred’s emotional intelligence-focused AI vision.
• Lingga Pradipta (Co-Founder / CTO): An experienced technical leader in artificial intelligence and cybersecurity. He has led blockchain integrations for Warner Bros. and Teletubbies NFT projects and is the founder of a startup acquired by Mercedes-Benz.
• Rachelle Irene (Head of Product): A product leader with an Apple background. She played a key role in achieving high user acquisition and strong engagement rates in the Teletubbies NFT launch and Axie ecosystem projects.
• Ferro Sandityo (Creative Director): An experienced creative director who has worked with global entertainment brands. He built a large community with the Squishy Squad NFT project and transforms iconic IPs into visually and emotionally powerful AI characters at Kindred.

The team embraces a culture built on ethical AI, user privacy, and transparent governance principles.

Official Links

• Website
• X (Twitter)
• Whitepaper

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Autify Network’s core vision is to make the rapidly growing global climate credit economy—valued at over $180 billion—more reliable, transparent, and scalable. It achieves this by integrating Web3’s decentralized infrastructure with enterprise-grade data verification and supply chain requirements.

Core Purpose and Vision of Autify Network (AUTY)

Today, climate credits and sustainability projects face challenges such as verification difficulties, lack of transparency, and data reliability issues. Autify Network develops a blockchain-based trust protocol to solve these problems.

The project’s main objectives can be summarized as follows:

• Make environmental impacts measurable and verifiable
• Transform climate credits into standardized global digital assets
• Enable sustainability-focused projects to generate financial value
• Facilitate Web3-based data transfer in supply chain and retail sectors

Thanks to this approach, Autify Network positions itself not merely as a crypto project, but as an infrastructure protocol that intersects climate technology, finance, and Web3.

Autify Network (AUTY) stands among Web3 projects that combine climate technologies with blockchain infrastructure and aim to create real-world impact. With its AI-supported verification system, transparent blockchain records, and enterprise-focused infrastructure, it appeals not only to crypto markets but also to sustainability and supply chain ecosystems.

This approach to digitizing and standardizing climate credits positions Autify Network as one of the projects that could stand out in the RWA space in the long term.

Climate Credits: A Verifiable, Transparent, and Value-Generating Structure

Autify Network’s primary focus is climate credits. The platform offers a decentralized structure that converts environmental actions into economic value.

What Climate Credits Offer on Autify Network:

• Verified data: Every credit undergoes advanced verification processes
• Transparent records: All transactions are immutably stored on the blockchain
• Economic value: Environmental impact is transformed into tradable digital assets

This structure builds a trust-based bridge between organizations developing climate projects and companies seeking to purchase these credits.

AI and Blockchain-Supported Technology

One of the most important elements that distinguishes Autify Network from similar projects is the combined use of artificial intelligence and blockchain technology.

AI-Powered Verification The advanced AI algorithms used on the platform verify climate credits with 99.9% accuracy. This prevents fake, duplicate, or low-quality credits from entering the system.

Immutable Records with Blockchain All verification processes and credit movements are stored on the blockchain. This both increases transparency and eliminates the risk of retroactive manipulation.

Real-Time Analytics Autify Network provides users with live dashboards to track their environmental impact in real time. This allows companies and institutions to monitor their sustainability performance instantly.

Who Is It Designed For?

Autify Network is not designed for a single user profile. The platform offers scalable solutions for all stakeholders in the climate ecosystem.

• Climate credit-generating projects
• Corporate buyers and investors
• Auditing and verification organizations
• Supply chain and retail companies
• Web3-based sustainability initiatives

This broad scope turns Autify Network from a niche solution into a global climate infrastructure.

Autify Network (AUTY) Tokenomics

The AUTY token sits at the center of the Autify Network ecosystem and supports economic activity within the network.

Total Supply

• 1,000,000,000 AUTY

Token Distribution

• Private / Pre-sale: 16% – 160,000,000 AUTY
• Public Sale: 0.78% – 7,780,000 AUTY
• Ecosystem Growth: 28%
• Core Team: 15.5%
• Development: 12%
• Liquidity, Listing & Market Making: 10%
• Other: 34.5%

This distribution shows priority given to long-term ecosystem growth and development activities.

Autify Network (AUTY) Partners

Autify Network aims to expand its ecosystem by establishing collaborations with various institutions and projects operating in the climate and sustainability space. These partnerships are intended to strengthen the platform’s real-world use cases.

Partners:

• Weaving Vibes
• AltMat
• Ashi Creation
• KARMIKH
• SIROHI
• WELLBI
• FOReT
• NoName

Autify Network (AUTY) Backers

The project is backed by institutions with significant standing in the blockchain and technology world. These backers are important actors that strengthen Autify Network’s technical infrastructure and enterprise vision.

Backers:

• Ava Labs
• Microsoft
• NEAR
• Stellar
• Filecoin
• Sia
• LOOP Ventures
• myAsiaVC

Autify Network (AUTY) Team

Autify Network is being developed by an experienced and multi-disciplinary team. The team consists of experts in Web3, product development, software, and creative design.

Team Members:

• Nabarun Chakraborty – Founder & CEO
• Pankaj Arya – Product Manager
• Venkatesh Prasad – Creative Lead
• Supriyo Sarkar – Full Stack Developer
• Pushpit Bhardwaj – Full Stack Developer

Official Links

• Website
• X (Twitter)
• Whitepaper

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NOYA positions itself not merely as an analysis tool or automation bot, but as an “always-on institutional research desk.” It transforms onchain noise into meaningful insights, connects these insights to user intent, and executes the necessary transactions trustlessly across multiple chains.

In short, NOYA’s core thesis is clear: Intelligence alone is not enough; it must be able to act.

What Does NOYA.ai Aim to Achieve?

The traditional DeFi experience requires constant manual operations across dashboards, analysis tools, bridges, DEXs, and different chains. This structure both wastes time and increases execution risk.

NOYA compresses this process into a single system:

Research → Thesis → Execution → Monitoring

These four steps are managed in the NOYA ecosystem by interconnected AI agents instead of fragmented tools. The user expresses “what they want to do”; NOYA plans how, where, and through which protocols it should be done.

NOYA System Architecture

NOYA is built on a holistic architecture consisting of three main layers:

1. Intelligence Layer This layer encompasses the analysis infrastructure fed by onchain data, prediction markets, and protocol fundamentals. NOYA does not merely provide data here; it generates context.

   • Token fundamentals
   • Market signals
   • Risk factors
   • Prediction market probabilities
   • Wallet behaviors and capital flows

2. Execution Layer This is the layer where intelligence is turned into action. In accordance with the permissions given by the user:

   • Swap
   • Bridging
   • Liquidity provision
   • Borrowing optimization
   • Vault investment

   such operations are automatically executed across multiple chains.

3. Abstraction Layer It hides technical complexity. The user does not deal with the underlying chains, bridges, and protocols; control remains with the user while the operational burden is eliminated.

Trustless Omnichain AI Agents and ZKML

One of the most distinctive aspects of NOYA is that its AI agents operate in a verifiable manner using ZKML (Zero-Knowledge Machine Learning).

Thanks to this structure:

• AI models can be verified on-chain
• It can be proven that strategy decisions were actually executed
• Trust is provided without revealing the internal logic of the model

Agents perform tasks such as yield optimization, debt management, liquidity allocation, and collateral monitoring in a trustless manner.

Omnichain Execution and Intent-Based Model

NOYA puts “what is intended to be done” at the center rather than “how it will be done.” This approach is called intent-based execution.

Users can express intent in the following ways:

• Via text
• Via voice command

For example: “Optimize stablecoin yield without increasing my risk.”

This intent is transformed by the AI agent into a cross-chain execution plan. The user approves and signs every step. NOYA never executes without permission.

Omnivaults: Intelligent Capital Allocation

Omnivaults are NOYA’s capital distribution layer. The goal is not only high yield but risk-adjusted and sustainable performance.

Key Features of Omnivaults

• Multi-chain and multi-protocol support
• Automatic rebalancing
• Classification by risk categories
• Simple deposit/withdrawal experience

Vault Types

• Standard yield strategies
• Looped (leveraged) strategies
• BTC, ETH, stablecoin-based vaults

Users gain access to professionally designed structures without dealing with complex strategies.

Prediction Market Copilot

An important part of NOYA’s intelligence layer is the Prediction Market Copilot.

This module combines:

• Market probabilities
• Liquidity depth
• Wallet behaviors
• Historical resolution data

to provide probabilistic analysis.

Highlighted Features

• Expected Value (EV) analysis
• Scenario-based evaluation
• “Smart wallet” tracking
• Large position entries/exits
• Portfolio and performance analysis

The goal is not automated betting, but disciplined and contextual decision-making.

What is the NOYA Token (NOYA) Used For?

The NOYA token is not required for the system to function; however, it plays a role in strengthening participation and long-term alignment.

Core Use Cases

• Staking
• Governance
• Vault and report access
• Buyback & burn mechanism
• Incentive programs

A portion of protocol revenue is used for NOYA token buybacks and burns, aiming to create a direct link between usage and value.

NOYA.ai (NOYA) Tokenomics

• Total Supply: 1,000,000,000 NOYA
• TGE Circulating Supply: Approximately 10%
• No team unlock at TGE

Distribution Summary

• Community emissions: 37%
• Team: 20% (long-term vesting)
• Ecosystem & partnerships: 15%
• Foundation / Treasury: 10%
• Public sale: 10%
• Airdrop: 5%
• Market maker reserve: 3%

On the airdrop side, offering penalty options to large holders in exchange for early liquidity stands out as a notable choice aimed at protecting ecosystem balance.

Fee Model

NOYA adopts a transparent and predictable fee structure instead of hidden costs.

• Execution fees (bridge, routing, etc.)
• Vault management and performance fees
• Token-based access for advanced features

All fees are clearly displayed before user approval.

NOYA.ai (NOYA) Team

NOYA.ai is being developed by a highly technical and research-focused team. The team consists of a core group specialized in artificial intelligence, DeFi infrastructure, and onchain systems.

Team:

• Hadi Esnaashari – Co-founder, Tech Lead

Official Links

• Website
• X (Twitter)
• Whitepaper

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The YOOG ecosystem particularly targets providing high-quality, verifiable, and ethically usable data sets for large language models (LLMs), artificial intelligence applications, and data-fed technologies.

YOOG Core Purpose and Vision

In the traditional data economy, data is usually collected by large technology companies for free or at low cost, while the actual producers do not receive sufficient share of the value. YOOG aims to reverse this structure.

The platform’s vision is to create a sustainable data marketplace where data owners have direct ownership rights over the data they produce or collect, and AI developers can access the data they need in a transparent and legal manner.

YOOG is an ambitious project that brings data ownership, artificial intelligence, and blockchain under one roof. Especially in a period where the need for ethical data for AI models is increasing, it stands out with its approach that protects, licenses, and transforms data into economic value.

The platform is not just an NFT marketplace; it also aims to offer a decentralized data economy infrastructure. YOOG’s success will be directly related to data quality, developer adoption, and ecosystem growth.

Data Asset Concept and YOOG Approach

At the center of YOOG is the “Data Asset” concept. Data Assets represent processed and economically valuable data sets. These assets are securely represented on the blockchain using Semi-Fungible Token (SFT) structure.

YOOG’s data processing mechanism takes raw data, large data sets, or special data collections and:

• Cleans
• Pre-processes
• Enriches
• Makes them licensable

and then tokenizes them in NFT format. Thus, these data are protected against unauthorized use and become directly purchasable by AI developers.

What is Data NFT?

Data NFT is a blockchain-based digital asset that represents the copyright or special licensing authority of a specific data set. This NFT represents the “base IP” (basic intellectual property) of the data.

When a data set is published in the YOOG ecosystem:

• A new Data NFT is created
• Ownership of the data is recorded on-chain
• Revenue rights are automatically defined

This structure places data sets into a legal and economic framework similar to physical ownership documents. The smart contract of the NFT manages revenue sharing, access permissions, and licensing conditions.

Stakeholders in the YOOG Ecosystem

YOOG offers a multi-sided data economy infrastructure. The main participants of the ecosystem are as follows:

Data Creators

Researchers, writers, designers, artists, and individuals or teams conducting survey studies are included in this group.

Data Collectors

Structures that collect user behavior or event data through applications, platforms, and systems.

AI and LLM Developers

Teams developing large language models similar to GPT and artificial intelligence algorithms.

dApp Developers

Software developers creating decentralized applications supported by AI using YOOG data assets.

End Users and Institutions

Individuals, companies, and sectors using AI technologies in business processes.

YOOG Business Model

YOOG’s business model is shaped around a blockchain-based marketplace centered on data trading.

Core Components:

• Sale of pre-processed and enriched data sets as NFTs
• Direct revenue generation for data owners
• Licensed data access for AI developers

Target Audience:

• Data scientists
• Artificial intelligence developers
• Corporate data providers
• Companies developing AI-based products

YOOG Value Proposition

The main advantages offered by YOOG are as follows:

• Curated Data Sets: Ready and high-quality data for AI training
• Data Enrichment Tools: Increasing diversity and accuracy
• Blockchain Security: Transparent ownership and immutable records
• Efficient Marketplace: Low-cost, intermediary-free trading

Revenue Models

YOOG aims for a sustainable structure with different revenue channels:

• Transaction fees from Data NFT sales
• Premium subscription plans
• Corporate partnerships and sponsorships
• Featured listings and analysis services

Blockchain Infrastructure and Technology Stack

YOOG is initially designed to operate on the SUI blockchain. In the following processes, integration with networks such as Ethereum and Solana is targeted.

Technologies used include:

• Python-based data processing tools
• Data augmentation libraries
• NFT standards (ERC-721, ERC-1155, ERC-3525)
• Smart contracts

Why Blockchain?

Blockchain usage provides critical advantages for YOOG:

• Data integrity and immutable records
• Transparent and auditable transactions
• Elimination of intermediaries
• Global access and cross-border trading
• Automatic revenue sharing and royalty payments

What is YOOG Token?

$YOOG is the native utility token of the platform and is at the center of all economic activities in the ecosystem.

YOOG Token Use Cases:

• Data NFT trading
• In-platform payment unit
• DAO governance
• Rewards and incentives
• Research and development funding
• Fractional data asset trading

YOOG Tokenomics

Total supply: 10 billion YOOG

Distribution:

• Ecosystem Fund: 24%
• Team: 10%
• Private Sale: 12%
• Strategic Sale: 9%
• KOL Round: 12%
• Public Sale: 4%
• Liquidity: 8%
• Treasury: 8%
• Operational Expenses: 8%
• Advisors: 5%

YOOG Team

Behind YOOG is an experienced team in data science, blockchain, and engineering fields:

• Sony Ifergan – Founder & CEO
• Philippe Tissier – Head of Data Science
• Emilio Jones – Blockchain Architect

Official Links

• Website
• X (Twitter)
• Whitepaper

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What Does Khorus (KHO) Aim For?

Khorus is an A2A (Agent-to-Agent) coordination protocol that aims to bring together artificial intelligence systems, agents, and even robotic components under a common network. The platform enables developers, startup teams, individual agent creators, and institutions to unite their AI agents on a single infrastructure.

With this structure, agents do not just perform tasks; they can plan, learn, interact with other agents, and participate in economic activities on-chain. Khorus’s core goal is to make AI agents verifiable, interoperable, and revenue-generating.

Khorus’s Core Approach

Khorus defines itself as a coordination layer for on-chain AI agents. The system combines identity, payment, communication, and interoperability components under a single roof. This approach allows different agents to recognize, verify, and undertake shared tasks with each other.

The main standards and components forming the backbone of the platform are:

• ERC-8004: On-chain identity and registration standard for agents
• x402: Inter-agent payment, signaling, and revenue sharing layer
• A2A Protocol: Direct communication and task sharing between agents
• MCP (Model Context Protocol): Multi-model and context transfer infrastructure

This structure enables the creation of multi-agent ecosystems rather than single agents.

What Makes Khorus Different?

Many existing AI platforms focus on independently operating agents or limited automations. Khorus, however, provides an infrastructure-level solution that addresses the following gaps:

• Verifiable agent identity
• Standard inter-agent communication protocol
• On-chain distribution and transparency
• Built-in economic incentives
• Multi-agent workflows

This enables Khorus to facilitate the establishment of true A2A ecosystems rather than “single-player” agents.

Position in the Ethereum dAI Ecosystem

Khorus is positioned within the ERC-8004 ecosystem defined by the Ethereum dAI team. In this classification, Khorus is placed in the Framework layer alongside projects like OpenServ, Virtuals, and elizaOS.

This layer enables the development of reusable, economically compatible, and structured agent systems. Khorus’s role in this area is to integrate agent frameworks with on-chain identity, MCP tools, and A2A coordination into a unified structure.

What Problems Does Khorus Solve?

Today, AI agents face many fundamental issues:

• Agents lack a verifiable identity
• Agents cannot recognize or verify each other
• Shared workflows require custom integrations
• Payment and revenue sharing are off-chain
• Monetizing agent usage is difficult
• There is no standard marketplace or launch mechanism

Khorus aims to solve these problems within a single framework. It provides agents with on-chain identity, offers shared communication standards, and moves economic flows on-chain via x402.

Market Dynamics and Timing

The autonomous agent economy is expected to reach a trillion-dollar volume in the coming years. However, for this growth to be sustainable, the following elements are critical:

• Identity verification
• Auditability
• On-chain payment infrastructure
• Inter-agent coordination

Khorus aims to be at the center of this transformation, making agents not only productive but also economically meaningful.

Khorus Architecture

Khorus’s architecture aims to transform isolated AI systems into a collaborative network. The protocol layer serves as a bridge between multi-model clusters, developers, and agents.

Key Features

• A2A Layer: Task and data sharing between agents
• ERC-8004: Identity, verification, and interoperability
• MCP: Context and memory transfer
• Agent Marketplace: Licensing and monetization of agents
• Multi-chain Deployment: Running agents on multiple chains
• Genesis Program: Tokenization and launch infrastructure

Multi-Model Support

Khorus is not tied to a single LLM. Different agents can work with different models. This structure allows:

• Fast models to handle simple tasks
• Advanced models to perform complex analyses
• Hybrid AI environments to be created

This approach enables performance and cost optimization.

Participants in the Khorus Ecosystem

Khorus provides a standard infrastructure for different profiles:

• Individual developers
• Web3 developers
• Startup engineering teams
• Enterprise engineers
• DevOps teams
• Game developers
• Data and API providers
• Research laboratories

Each participant can create, deploy, and monetize agents using the same protocol.

What is Genesis Protocol?

Genesis Protocol is a standard mechanism used to initiate the economic layer of agent-based applications. Through this protocol:

• ERC-compatible tokens can be created
• Total supply can be defined
• Launch rules are standardized
• Community share is automatically distributed

Starting a Genesis requires burning 100 KHO. 5% of the token supply is automatically airdropped to the Khorus community.

x402 and Economic Infrastructure

x402 is Khorus’s payment and signaling layer. This system:

• Micro-payments
• Stream-based revenue sharing
• Agent calls
• Task-based pricing

manages transparently on-chain. Each call produces a verifiable record.

Khorus (KHO) Tokenomics

$KHO is at the center of the Khorus ecosystem. All interactions within the platform are tied to KHO. The token is used for access, credits, marketplace transactions, and launch mechanisms.

Token Distribution

• Community Pool: 50%
• Seed Round: 8%
• Partnerships: 6%
• Treasury: 7%
• Advisors: 4%
• Airdrop & Rewards: 5%
• Team: 7%
• Marketplace Liquidity: 6%
• Growth Initiatives: 7%

This structure targets long-term incentive alignment.

Partners and Integrations

Khorus works integrated with various ecosystems. These include:

• HyperGPT
• Magic Square
• AEON
• BNB Chain
• SKALE
• UNIBASE

Official Links

• Website
• X (Twitter)
• Whitepaper

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