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NFTs are unique digital identifiers recorded on a blockchain that certify ownership and authenticity of a specific asset. Moving past the "PFP" craze, 2026 NFTs emphasize utility, representing everything from IP rights and digital fashion to RWA titles and event ticketing. This tag explores the technical standards of digital ownership, the growth of NFT marketplaces, and the integration of non-fungible tech into the broader Creator Economy and enterprise solutions.

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Created: 2026/02/02 18:52
Updated: 2026/02/02 18:52
Bitcoin Hyper vs Snorter Token vs LivLive: Which Is the Top Crypto Presale to Buy Now for 100x Gains?

Bitcoin Hyper vs Snorter Token vs LivLive: Which Is the Top Crypto Presale to Buy Now for 100x Gains?

Looking for the next 100x crypto before 2026 hits? The race to find the top crypto presale to buy now […] The post Bitcoin Hyper vs Snorter Token vs LivLive: Which Is the Top Crypto Presale to Buy Now for 100x Gains? appeared first on Coindoo.

Author: Coindoo

2025/10/24

Best Altcoin To Invest In After Dogecoin Whales Dump $74M Amid Nasdaq Buzz: This Crypto Could be the Q4 Winner

Best Altcoin To Invest In After Dogecoin Whales Dump $74M Amid Nasdaq Buzz: This Crypto Could be the Q4 Winner

News of the House of Doge Nasdaq merger and the Thumzup payment integration couldn’t stop the sell-off. Analysts revealed that […] The post Best Altcoin To Invest In After Dogecoin Whales Dump $74M Amid Nasdaq Buzz: This Crypto Could be the Q4 Winner appeared first on Coindoo.

Author: Coindoo

2025/10/24

Fiat or Crypto? How to Choose the Best Payment Method for Your Online Casino Play

Fiat or Crypto? How to Choose the Best Payment Method for Your Online Casino Play

With the rise of stablecoins, like USDT, USDC and EURC, players can enjoy the stability of fiat currencies without giving up the speed and convenience of cryptocurrency.

Author: Cryptodaily

2025/10/23

MegaETH’s public sale looks MegaCHEAP

MegaETH’s public sale looks MegaCHEAP

The post MegaETH’s public sale looks MegaCHEAP appeared on BitcoinEthereumNews.com. This is a segment from the 0xResearch newsletter. To read full editions, subscribe. GM, everyone. These markets are definitely not the easiest to trade. Bitcoin and major indices continue to bleed, and on the altcoin side, only 24% of the top 100 tokens have outperformed bitcoin in the last 90 days. However, there are still pockets of outperformance, and we believe MegaETH’s public sale will be one of them. Indices The market remained under pressure yesterday, with the S&P 500 (-0.62%), Nasdaq (-0.97%), and BTC (-0.63%) all closing lower. Despite the sharp selloff earlier this week, gold has continued to attract safe-haven flows, rising 0.78% as buyers stepped in amid a weaker dollar and growing expectations of rate cuts. Much of the recent sentiment has been shaped by developments in US-China trade talks, but Q3 earnings are adding to the caution. Both Netflix and Tesla reported softer-than-expected results, while Texas Instruments issued a weak revenue outlook for the fourth quarter, citing tariff-related headwinds. Crypto markets mirrored the broader pullback, with all sectors closing in the red. Still, a few pockets of resilience stood out. The AI sector, down -0.28%, and DeFi, down -0.27%, both outperformed BTC on the day. The AI index held up, mainly thanks to TAO, which accounts for 17.5% of the sector, supported by renewed optimism ahead of its halving event in two months. At the other end, Launchpads and Memes were the weakest sectors, down -4.6% and -3.4%, respectively, reflecting fading risk appetite across the market. All eyes now turn to tomorrow’s CPI print, which could set the tone for inflation expectations and determine how quickly rate cuts follow. Market Update Despite $615 million in ETF inflows Tuesday, overall flows have flipped negative again, underscoring the market’s uncertainty. Much of bitcoin’s recent weakness has been driven…

Author: BitcoinEthereumNews

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A Complete Guide to Developing Cross-Chain AI Agents

A Complete Guide to Developing Cross-Chain AI Agents

A Complete Guide to Developing Cross-Chain AI Agents In the ever-evolving landscape of Web3 and artificial intelligence (AI), one innovation stands out for its transformative potential — Cross-Chain AI Agents. These intelligent, autonomous systems are designed to operate seamlessly across multiple blockchain networks, enabling true interoperability between decentralized ecosystems. Traditionally, AI and blockchain have existed in parallel realms — AI handling data-driven automation, while blockchain ensures trust, transparency, and decentralization. However, as Web3 matures, these technologies are converging. The emergence of Cross-Chain AI Agents represents a new era of decentralized intelligence, where smart agents can move assets, share data, and make autonomous decisions across various blockchain networks like Ethereum, Solana, Polygon, BNB Chain, and Polkadot. This guide provides a comprehensive, step-by-step overview of how to develop Cross-Chain AI Agents from concept and architecture to implementation and deployment. What Are Cross-Chain AI Agents? Cross-Chain AI Agents are intelligent, autonomous entities capable of performing tasks, executing smart contracts, and making data-driven decisions across multiple blockchain networks. Unlike traditional agents limited to a single chain, these systems are equipped with interoperability protocols that allow them to communicate, transact, and coordinate between different decentralized ecosystems. In essence, they merge AI-driven automation with cross-chain interoperability, resulting in agents that can manage DeFi operations, data exchange, digital identity, and decentralized governance without manual intervention. Why Cross-Chain AI Agents Matter in 2025 and Beyond Interoperability The biggest challenge in blockchain is network isolation. Cross-chain AI agents bridge this gap, enabling smooth communication and transaction flow between multiple chains. Automation in DeFi and Web3 Agents can autonomously perform yield farming, liquidity balancing, or arbitrage trading across chains — making DeFi more efficient. Enhanced Scalability Offloading tasks across different blockchains optimizes performance and reduces congestion on any single network. Smarter Decision-Making AI models embedded in agents analyze multi-chain data, helping in predictive analytics, risk management, and asset optimization. Trustless Execution Blockchain ensures that agent actions are transparent, verifiable, and immutable — eliminating the need for centralized intermediaries. Core Components of Cross-Chain AI Agents Building Cross-Chain AI Agents involves combining various technological layers. Let’s break them down:

  1. AI Core / Intelligence LayerThis layer is responsible for processing data, learning, and decision-making. It often includes: ✦Machine learning models (TensorFlow, PyTorch) ✦Natural language processing (NLP) ✦Reinforcement learning (for adaptive behavior) ✦Predictive analytics for on-chain data
  2. Blockchain Integration LayerThis enables interaction with multiple chains using: ✦Interoperability protocols like Cosmos IBC, Polkadot Parachains, ✦LayerZero, or Chainlink CCIP. ✦Smart contracts that allow automated asset transfers or data exchange between chains. ✦Bridges and oracles that provide cross-chain data and liquidity flow.
  3. Smart Contract LayerThis handles the logic behind the agent’s operations: ✦Executes pre-defined conditions (e.g., “If token price drops by 5%, move liquidity”) ✦Controls fund movement securely ✦Records agent actions on-chain for auditability
  4. Communication LayerAI agents need real-time communication to function effectively. This involves: ✦Message passing protocols (XMTP, Waku) ✦Decentralized storage systems (IPFS, Arweave) ✦APIs that enable cross-chain coordination
  5. Security LayerAs agents act autonomously across networks, security is paramount: ✦Use of zero-knowledge proofs (ZKPs) for private computation ✦Multi-signature wallets for secure transactions ✦Decentralized identity (DID) systems for authentication Step-by-Step Process to Develop Cross-Chain AI Agents Step 1: Define Purpose and Use CaseBefore development, define your agent’s objective: DeFi Arbitrage Agent: Moves assets across blockchains to exploit price differences. Data Exchange Agent: Shares verified data between decentralized apps. Governance Agent: Participates in DAO voting across multiple ecosystems. NFT Cross-Chain Agent: Manages NFTs across marketplaces and blockchains. Having a clear purpose helps in choosing the right architecture and tools. Step 2: Choose a Cross-Chain Framework To enable multi-chain operations, select an interoperability framework: Cosmos IBC (Inter-Blockchain Communication): Enables cross-chain message passing. Polkadot Parachains: Provides shared security and seamless interoperability. LayerZero Protocol: Offers low-latency cross-chain communication. Chainlink CCIP (Cross-Chain Interoperability Protocol): Facilitates secure messaging and data sharing between chains. Your choice depends on the agent’s function — real-time DeFi execution, governance, or data transfer. Step 3: Develop the AI Engine Use AI frameworks to power the intelligence behind your agent: TensorFlow / PyTorch: For predictive modeling and learning algorithms. LangChain or AutoGPT frameworks: To enable autonomous reasoning and multi-step task execution. OpenAI APIs: To integrate conversational and decision-making capabilities. Train your AI engine on both on-chain and off-chain data to help it make informed decisions. Step 4: Design Smart Contracts for Multi-Chain Execution Smart contracts are the operational backbone of Cross-Chain AI Agents. Key components: ✦Asset management contracts for liquidity or staking. ✦Execution contracts to trigger cross-chain functions. ✦Reputation contracts to rate agent performance. These contracts should be modular, auditable, and interoperable with multiple chains. Step 5: Implement Data and Token Bridges Agents must be able to transfer assets or information seamlessly. ✦Integrate token bridges like Wormhole, Multichain, or Axelar for asset movement. ✦Use oracle networks (Chainlink, Pyth) for real-world data. ✦Store metadata or training results using IPFS or Filecoin. This ensures your Cross-Chain AI Agents can access decentralized resources efficiently. Step 6: Deploy and Test in Multi-Chain Environments Testing is crucial before going live: ✦Simulate cross-chain operations in testnets (Goerli, Mumbai, Kusama). ✦Validate contract performance, agent decision accuracy, and interoperability. ✦Perform stress testing to ensure scalability and security. Once validated, deploy to mainnets with appropriate monitoring tools. Step 7: Integrate Governance and Incentives A decentralized marketplace for AI agents thrives on incentives: ✦Introduce native tokens to reward agent contributions and transactions. ✦Use staking models to ensure reliability and reduce malicious actions. ✦Implement DAO governance so the community can propose updates or new features. Step 8: Build a User Interface and SDK To make Cross-Chain AI Agents accessible, create an intuitive dashboard: ✦Display active agents, performance metrics, and transaction logs. ✦Enable users to deploy or customize their own AI agents. ✦Offer SDKs or APIs for developers to integrate new features. ✦A user-friendly interface increases adoption and trust. Key Benefits of Cross-Chain AI Agents Interoperable Ecosystem Connects multiple blockchain networks, ensuring data and value flow without barriers. Autonomous Operation Agents execute smart contracts, analyze data, and act without human intervention. Enhanced Security and Transparency Blockchain ensures that every agent action is verifiable and tamper-proof. Scalable AI Infrastructure Distributes workloads across chains for better efficiency and lower costs. Decentralized Intelligence AI models operate in a trustless, transparent environment — ensuring fairness and accountability. Use Cases of Cross-Chain AI Agents
  6. Decentralized Finance (DeFi)Agents can automate yield optimization, liquidity provision, or arbitrage trading across multiple DEXs and chains.
  7. Decentralized Data MarketsFacilitates secure, privacy-preserving data sharing between platforms like Ocean Protocol and Fetch.ai.
  8. DAO GovernanceAgents vote and execute governance decisions autonomously across multi-chain DAOs.
  9. NFT and Gaming EcosystemsAI agents manage cross-chain NFT transfers, asset tracking, and player interactions.
  10. Supply Chain and IoTSmart agents monitor logistics data across private and public blockchains, ensuring traceability and automation. Security Considerations for Cross-Chain AI Agents Security challenges increase with cross-chain operations. Address them through: Audited Smart Contracts: Prevent exploits through third-party code audits.ZK-Proofs: Protect user privacy during computations.Multi-Signature Controls: Require multiple approvals for high-value transactions.Decentralized Identity (DID): Verify and authenticate AI agent identities. By embedding these safeguards, Cross-Chain AI Agents can operate securely in complex environments. The Future of Cross-Chain AI Agents The next generation of Cross-Chain AI Agents will likely feature: ✦Self-learning capabilities using reinforcement learning on-chain. ✦Integration with DePIN (Decentralized Physical Infrastructure Networks) for real-world automation. ✦AI marketplaces where agents can buy, sell, and rent intelligence services. ✦Agent-to-Agent commerce, allowing autonomous trading between digital entities. As AI and blockchain ecosystems continue to merge, these agents will become the backbone of decentralized digital economies — powering everything from finance and logistics to metaverse and healthcare applications. Conclusion Building Cross-Chain AI Agents marks a significant step toward achieving fully interoperable, autonomous, and decentralized digital ecosystems. By combining the intelligence of AI with the trustless architecture of blockchain, developers can create agents capable of operating seamlessly across chains — driving efficiency, transparency, and scalability in Web3 applications. From developing smart contracts to deploying interoperability frameworks, the journey to building cross-chain AI agents requires a deep understanding of blockchain mechanics, AI architecture, and decentralized governance. But those who master it today will be the pioneers of tomorrow’s autonomous Web3 world — where machines collaborate, transact, and evolve across networks without human oversight.
A Complete Guide to Developing Cross-Chain AI Agents was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story

Author: Medium

2025/10/23

Near Instant Transfers Now Possible on Ethereum Mainnet

Near Instant Transfers Now Possible on Ethereum Mainnet

The post Near Instant Transfers Now Possible on Ethereum Mainnet appeared on BitcoinEthereumNews.com. Ethereum transactions can now be preconfirmed in just a fraction of a second with new tech from an Ethereum infrastructure platform. Primev says its FAST RPC (Remote Procedure Call) allows transactions to be preconfirmed and set for inclusion in blocks in under 200ms — enabling everything from Ether (ETH) transfers and interacting with smart contracts to minting non-fungible tokens (NFTs) at “blazing speed.” Preconfirmation is an early signal from a block builder indicating a transaction will likely be included in the next block, while block inclusion refers to a transaction being added into a block. RPCs like FAST RPC connect crypto wallets to blockchain nodes, enabling users to send transactions and interact with decentralized applications onchain. From the user’s perspective, 200ms could theoretically rival high-speed layer 1 blockchains like Sui, where transactions are usually confirmed within 200ms. Primev’s founder, Murat Akdeniz, posted a live demonstration to X on Monday, showing a near-instant ETH transfer via Ethereum self-custody wallet MetaMask, which he said was preconfirmed in 377ms and included in the same block. Akdeniz said his team has been working for more than two years to “supercharge Ethereum” to these speeds. Ethereum L1 is painfully slow 😩 Can devs PLEASE fix this?!? For 2+ years, the @primev team has been grinding to supercharge Ethereum mainnet. Today: MILLISECOND preconfirmations… ON L1! 🚀watch me send ETH blazing fast in this 18s vid pic.twitter.com/Diao4VfHzT — Murat | lordofcoins.eth (@MuratLite) October 20, 2025 FAST RPC hasn’t been tested at scale The most widely used RPCs on Ethereum are Infura and Alchemy’s solution, which, while slower than Primev’s FAST RPC, have a much larger node distribution and have been battle-tested under much heavier network loads. More than 400,000 builders leverage the Consensys-built Infura to connect with Ethereum, while Alchemy facilitates more than $150 billion in transactions…

Author: BitcoinEthereumNews

2025/10/23

Next Crypto to Explode Bitcoin Hyper ($HYPER) Solves Bitcoin Paradox

Next Crypto to Explode Bitcoin Hyper ($HYPER) Solves Bitcoin Paradox

Bitcoin, the $1.3T foundation of the digital economy, is trapped in a paradox: it is the most secure asset in the world, yet the least functional for modern dApps. That is, until now, thanks to Bitcoin Hyper ($HYPER).

Author: Brave Newcoin

2025/10/23

TRUMP memecoin may be doing poorly, but MELANIA is an atrocity

TRUMP memecoin may be doing poorly, but MELANIA is an atrocity

The post TRUMP memecoin may be doing poorly, but MELANIA is an atrocity appeared on BitcoinEthereumNews.com. While it’s fair to say that Donald Trump’s memecoin $TRUMP — down 80% since its launch in January and currently sitting 86% below all-time highs — is doing poorly, it’s worth taking a quick look at the other Trump memecoin: Melania coin. Melania Trump, who launched her own memecoin less than a day after her husband, has seen her token lose an extraordinary 94% since launch and 97.8% off all-time highs. However, the first lady has seen little, if any, blowback for her obvious rug pulls, particularly compared to the criticisms levelled at the president. The Apollo-11 NFTs Melania first dipped her toe in the world of high tech grifting when she announced a now unavailable Apollo-11 NFT collection that didn’t receive approval from NASA. The launch, which was strange considering how little Melania was involved with the United States space program, came after her husband’s first stint as POTUS. NASA has repeatedly forced unauthorized creators and artists to take down images and products that utilize its branding, including Anicorn watches, which hired an artist to create two NFTs that sold for over $40,000 each. Those NFTs no longer appear to exist. The site on which Melania sold her illegal NFTs has pivoted to a more Trump-esque style of grift: gold plated trinkets being offered for way too much money. The Melania Coin scam In January of 2025 Melania decided to launch a memecoin. Read more: Hayden Davis still making millions from LIBRA, MELANIA memecoins According to the Financial Times, it’s possible that the Trumps earned up to $100 million from the sales and transaction fees associated with the token, though putting an exact figure on what the family has been able to extract from its fans is unclear. What is clear is that the memecoin has provided no value,…

Author: BitcoinEthereumNews

2025/10/23

Solana Founder: The Visionary Behind Solana’s Rise

Solana Founder: The Visionary Behind Solana’s Rise

Anatoly Yakovenko is the founder and CEO of Solana, a blockchain platform known for its speed and efficiency. With a background in computer science and engineering, Yakovenko brought his experience together to create one of the fastest-growing blockchain systems in the world. He designed Solana’s proof-of-history technology, which helps it handle thousands of transactions per second.Yakovenko’s work has made Solana stand out in the crowded world of cryptocurrency. The platform has attracted a lot of attention for its ability to scale and its approach to solving real problems in blockchain technology.Anatoly Yakovenko: Solana FounderAnatoly Yakovenko, the driving force behind Solana, is well known for his technical expertise and entrepreneurial mindset. He combined a strong background in computer science with experience in major tech companies to create one of the fastest blockchain platforms.Early Life and BackgroundAnatoly Yakovenko was born in Ukraine before moving to the United States. He grew up in a family that valued education and hard work. His early interests were centered around mathematics, science, and computers.By the time he was a teenager, Anatoly was already experimenting with computer systems and programming. Moving to the US gave him access to better opportunities in technology. During these formative years, he developed a strong foundation in logical thinking and problem-solving.He began building his career as a software engineer, taking on small projects and collaborating with others online. These early experiences shaped his understanding of technology’s potential to solve real-world problems.Education and Academic JourneyAnatoly Yakovenko attended the University of Illinois at Urbana-Champaign, a well-known school for computer science. While there, he focused his studies on computer engineering and programming. This academic environment allowed him to learn from respected professors and peers.His coursework included important subjects like algorithms, distributed systems, and cryptography. These fields later played a role in his blockchain work. He also participated in research projects and coding competitions, which helped him think creatively and solve complex problems.This education gave him the tools to understand how computers communicate and process large amounts of data. After graduation, he applied these skills in the tech industry, further shaping his future projects and collaborations.Motivation for Entering BlockchainYakovenko’s work in the tech industry, especially at Qualcomm, exposed him to the limits of existing systems. He saw issues with scale, speed, and fairness in popular payment and data networks. These challenges motivated him to explore blockchain and decentralized technologies.He recognized the need for a system that could offer fast, cheap, and secure transactions. Anatoly saw proof-of-history (PoH) as a solution, letting blockchains process thousands of transactions quickly. His engineering knowledge gave him the confidence to experiment with new consensus methods.By founding Solana, he sought to build a blockchain that would solve the problems he encountered in earlier roles. His personal drive came from a desire to make technology more accessible for both developers and users.Professional Experience Before SolanaBefore founding Solana, Anatoly Yakovenko built a strong background in technology and engineering. He gained experience in voice over internet protocol, software systems, and large-scale computing at several important companies.Alescere and VoIP InnovationsEarly in his career, Yakovenko co-founded Alescere, a startup focused on Voice over Internet Protocol (VoIP) technology. This project aimed to improve communication over the internet by making phone calls cheaper and more reliable. He took on challenges related to network stability and audio quality, which were big concerns for VoIP in the early 2000s.Yakovenko’s work at Alescere helped him develop skills in real-time data processing. It also gave him a foundation in distributed systems, as VoIP requires computers in many places to work together smoothly. His early startup experience trained him in both technical problem-solving and business operations.Role at QualcommAnatoly Yakovenko spent over a decade at Qualcomm, a major player in mobile technology. At Qualcomm, he worked as a software engineer focused on high-performance networking, wireless technologies, and data compression.He was involved in building systems for 4K video processing and signal optimization. His work demanded strict efficiency and speed, dealing with large data streams common in today’s smartphones and mobile networks.Part of his role was to ensure reliable communication over mobile devices worldwide. This position also required a deep understanding of handling massive amounts of data, which became important in his later blockchain work.Work at Mesosphere and DropboxAfter Qualcomm, Yakovenko joined Mesosphere, where he focused on cloud infrastructure and large-scale distributed systems. His main tasks centered on designing platforms to manage computer resources automatically in data centers.He later worked at Dropbox, a cloud storage company serving millions. At Dropbox, Yakovenko’s role was to help build and maintain software that worked smoothly at large scale.This meant dealing with enormous numbers of user files and ensuring fast, secure access. Such experience in distributed cloud systems further expanded his skills, paving the way for Solana’s development.Founding of SolanaSolana began as an ambitious project to solve common problems in blockchain technology. The aim was to create a high-speed, scalable network with low transaction costs and increased efficiency.Conceptualization of SolanaAnatoly Yakovenko is widely credited as the main visionary behind Solana. He drew on his background as a software engineer, particularly in distributed systems, to identify scalability as a major concern for blockchains.Yakovenko introduced an innovative approach called Proof of History (PoH). This technique uses timestamps as a core part of its blockchain, allowing for faster processing and validation of transactions. The goal was to make a blockchain that could process thousands of transactions per second.His concept was designed to address the slow speeds and high fees seen in networks like Bitcoin and Ethereum. Yakovenko wrote the first whitepaper for Solana in late 2017 and began building a prototype soon after. The focus was on solving real problems and providing a technical foundation for decentralized applications.Co-Founders and TeamWhile Anatoly Yakovenko was the original creator, Raj Gokal joined as a co-founder and played a key role in shaping Solana’s direction. Together, they formed Solana Labs in San Francisco to lead the project’s development.Raj GokalThe founding team brought in experts from well-known tech companies such as Qualcomm, Apple, and Intel. Their combined experience helped build a robust and innovative blockchain. They also received support from a growing community and investors interested in blockchain scalability.Solana Labs later helped launch the Solana Foundation, a separate entity focused on growth and community development. This group supports ecosystem projects, organizes events, and provides grants to developers building on the Solana blockchain.Launch TimelineDevelopment on Solana started soon after the original whitepaper in late 2017. After building early prototypes and working through technical challenges, the team released Solana’s first testnet in 2018.By March OF 2020, the Solana mainnet was launched to the public. This marked the official start of the Solana blockchain, allowing developers to deploy decentralized applications and services.Solana Ecosystem and GrowthSolana has become a major network for applications involving both decentralized finance and digital collectibles. Its fast transaction speeds and low fees support a growing community of developers and users.DeFi and Financial MarketsDecentralized finance (DeFi) is a key part of Solana’s ecosystem. Many projects have launched on Solana, taking advantage of its efficient proof-of-stake system. Users can lend, borrow, and trade with little delay.The SOL token is used for paying transaction fees and is central to financial activities on the network. DeFi apps have brought more liquidity and helped Solana compete with other blockchains.Some protocols allow users to earn interest or provide liquidity. Solana’s DeFi platforms have grown rapidly, even as other blockchains face congestion or high costs. The network supports a range of financial products including exchanges and trading platforms.NFT Marketplaces and ProjectsSolana is home to an active market for NFTs (non-fungible tokens). NFT marketplaces like Magic Eden have become popular for buying and selling digital art, music, and collectibles.The platform’s fast, low-cost transactions make it appealing for creators and traders. This has led to many new NFT projects launching on Solana.Solana’s NFT community is known for original collections and frequent releases. Projects often use NFTs for gaming, memberships, and other digital experiences. The ecosystem keeps attracting both artists and collectors, which helps it stay dynamic.Challenges and SetbacksSolana and its founder Anatoly Yakovenko have faced technical and external challenges. Issues with network stability and changes in regulation have impacted the blockchain's growth and reputation.Network Outages and ReliabilitySolana became known for its fast and low-cost transactions. However, this speed sometimes caused problems. The blockchain’s high throughput led to network congestion, especially during periods of heavy use. In several cases, Solana experienced network outages where transactions would stop for hours.Key examples include:Multiple outages from 2021 to 2023, often linked to overloaded validators.Technical setbacks requiring software updates and team coordination.Challenges in handling outages while protecting user funds and trust.To address these reliability issues, Yakovenko and the Solana team developed new software like the Firedancer client. These efforts aimed to make the Solana blockchain more stable and ensure fewer disruptions for users and developers.Anatoly Yakovenko’s Net WorthAnatoly Yakovenko’s financial standing is closely linked to his role as a co-founder of Solana Labs and his early ownership of SOL tokens. As of 2025, estimates place his net worth between $500 million and $800 million. Much of this value comes from his early equity in Solana Labs and large personal holdings of the SOL token.When Solana’s value reached higher levels in previous years, his net worth briefly surpassed $1 billion, but fluctuated with the token’s price. His wealth is not only built on SOL holdings, but also on investments in different tech ventures and blockchain startups.Yakovenko is recognized as one of the more influential figures in crypto thanks in part to his technical background and business decisions. He is not publicly known for a flashy lifestyle, keeping much of his wealth out of the spotlight.Intellectual Property and PatentsYakovenko’s contributions to technology go beyond just finances — they include key intellectual property and engineering solutions. As a former engineer at Qualcomm, and later as Solana’s creator, he has led or contributed to projects that address blockchain scalability and speed.He holds several patents related to wireless technologies and data transmission from his engineering career, most from his time at Qualcomm. While specific patent details related to Solana's technology are not widely published, his technical papers and protocol designs are well-documented in open-source forums.Yakovenko’s focus has been on sharing solutions with the development community rather than restricting access through exclusive patents. Open-source principles guide much of his work with Solana, making the platform’s core innovations available to all. This has helped Solana attract more developers and engage the community in its growth.Frequently Asked QuestionsWho is the founder of Solana?Anatoly Yakovenko is the founder of Solana. He created the foundation for the project and played a large role in its launch and ongoing development.What is the nationality of Solana's founder?Anatoly Yakovenko is a Ukrainian immigrant. He later lived and worked in the United States.How did Anatoly Yakovenko contribute to Solana's development?Yakovenko designed Solana’s Proof of History, which is a key innovation that helps the blockchain process transactions quickly. He has led Solana Labs and directed much of the platform's technical progress from the start.What is the estimated net worth of Anatoly Yakovenko?Exact figures vary, but Anatoly Yakovenko's estimated net worth has been reported to be between $500 million and $800 million.Does Raj Gokal have a role in the creation of Solana?Raj Gokal is a co-founder of Solana and works alongside Anatoly Yakovenko. He has contributed to the growth of the Solana project, especially on the business and operations side.

Author: Coinstats

2025/10/23

Fintech Firm Revolut Secures MiCA License to Expand Crypto Services Across Europe

Fintech Firm Revolut Secures MiCA License to Expand Crypto Services Across Europe

The post Fintech Firm Revolut Secures MiCA License to Expand Crypto Services Across Europe appeared first on Coinpedia Fintech News Revolut, a British multi-national Neobank, has secured a MiCA license from the Cyprus Securities and Exchange Commission (CySEC).  Regulated Crypto Services Across Europe The MiCA license will allow Revolut to provide and market its comprehensive crypto-asset services across all 30 markets in the European Economic Area (EEA) under MiCA legislation. This is a bold move …

Author: CoinPedia

2025/10/23

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