News
25 Mar 2026, 21:00
Crypto Sleuth Links Russian OTC Desk To $4.7M Laundering

A 73-bitcoin stash sitting untouched in a separate crypto wallet may be what eventually brings a Russian crypto broker to justice. That dormant pile of digital cash, flagged by blockchain investigator ZachXBT, sits at the edge of a much larger money trail — one that reportedly spans three ransomware payments, multiple networks, and at least one undercover Telegram conversation. Sting Operation Cracked The Case Open ZachXBT, an anonymous on-chain investigator with a long record of tracing illicit crypto flows, identified Russian OTC broker Aleksandr Khinkis as the central figure in the alleged scheme. According to reports, investigators posed as potential clients and contacted Khinkis directly through Telegram. He allegedly handed over an exchange deposit address — a move that gave investigators the thread they needed to pull. 1/ Meet Aleksandr (Aleks) Khinkis, a Russian OTC broker who has allegedly helped a ransomware group launder $4.7M+ via a single crypto exchange account since July 2025, across three suspected ransom payments totaling 796 BTC. pic.twitter.com/GpOjAvtaAd — ZachXBT (@zachxbt) March 24, 2026 That single address, starting with 0xa756, became the anchor point for the entire investigation. From it, researchers tracked roughly 75 transfers funneling more than $4.7 million into the same account. The money had been moving since at least July 2025. Three Ransoms. Three Trails. One Broker The alleged laundering involved three separate ransomware payments totaling 796 BTC. Each left a distinct footprint across multiple blockchain networks. The oldest case dates back to September 2023, when five Bitcoin bridge deposit addresses were tied to a 560 BTC ransom. Those funds eventually crossed into the Avalanche network sometime in 2024. 2/ Last month we reached out to Aleks via a Telegram account posing as a potential client looking to convert crypto assets on Avalanche to fiat. He promptly provided his exchange deposit address:0xa75666786a4e120110418ed3b4865a114d70706e The conversation was conducted in… pic.twitter.com/zt827Du3Ow — ZachXBT (@zachxbt) March 24, 2026 A second payment of 72 BTC, traced to September 2025, showed more than 15% overlap with known ransomware wallets across compliance screening tools. About $1.36 million from that batch moved through instant exchanges before consolidating into a Tron wallet. The most recent and largest payment — 164 BTC — was recorded in October 2025. Based on reports, around $3.8 million in bitcoin passed through instant exchanges before reaching Tron-linked outputs. Seven Tron addresses connected to that flow were frozen by Tether the following month. The frozen funds were later burned, confirming that enforcement action had been taken. Meanwhile, an additional $16.6 million remains sitting in related addresses or platforms, with some of it already being cashed out. Law Enforcement Now Has the Data ZachXBT confirmed that compliance teams and law enforcement agencies have received detailed records of the traced addresses and fund movements. No arrests have been publicly announced. Beyond the blockchain data, open-source intelligence painted a clearer picture of Khinkis as a person. Reports indicate he travels outside Russia regularly — including trips to Southeast Asia and Australia — and documents those trips openly on social media. The 73 BTC still sitting dormant at a separate address hasn’t moved. If and when it does, investigators will almost certainly be watching. Featured image from Pexels, chart from TradingView
25 Mar 2026, 20:50
Bittensor (TAO) Price Prediction 2026-2030: Decoding the Revolutionary AI Crypto’s Market Trajectory

BitcoinWorld Bittensor (TAO) Price Prediction 2026-2030: Decoding the Revolutionary AI Crypto’s Market Trajectory Global cryptocurrency markets continue evolving with artificial intelligence integration, positioning Bittensor (TAO) as a significant protocol in this convergence. This analysis examines TAO’s potential trajectory through 2030 using verifiable data, technological fundamentals, and market context. Investors and analysts increasingly monitor AI-driven cryptocurrencies as machine learning applications expand across blockchain networks. Bittensor (TAO) Price Prediction Analysis Framework Price predictions require multiple analytical dimensions rather than simple speculation. Consequently, this examination considers technological adoption rates, network growth metrics, and broader AI market trends. Bittensor operates as a decentralized machine learning platform where participants collaboratively train models. The network rewards contributors with TAO tokens based on the value their models provide. This unique economic model distinguishes Bittensor from conventional AI projects. Market analysts typically evaluate several key factors for cryptocurrency projections: Network Adoption Metrics: Active validators, subnet creation, and computational power Technological Development: Protocol upgrades, interoperability features, and security enhancements Market Position: Competitive landscape among AI cryptocurrencies and traditional AI services Regulatory Environment: Evolving global regulations affecting AI and cryptocurrency sectors Bittensor’s Technological Foundation and Market Context Bittensor establishes a decentralized marketplace for machine intelligence through its innovative protocol architecture. The network enables developers to create specialized subnets for various AI applications. These range from natural language processing to predictive analytics and content generation. Each subnet competes for TAO emissions based on the usefulness of its produced intelligence. Market context significantly influences cryptocurrency valuations. The global AI market reached approximately $200 billion in 2024 according to International Data Corporation research. Furthermore, projections suggest expansion beyond $500 billion by 2027. This growth creates substantial opportunities for blockchain-based AI solutions. Bittensor’s decentralized approach potentially addresses several centralized AI limitations including data privacy concerns and single points of failure. Comparative Analysis with Traditional AI and Blockchain Projects Bittensor occupies a unique position between conventional AI development and cryptocurrency ecosystems. Traditional AI companies typically rely on centralized data centers and proprietary algorithms. Conversely, blockchain-based AI projects emphasize transparency, decentralization, and community governance. Bittensor’s hybrid model combines machine learning incentives with cryptographic security mechanisms. The following table illustrates key differentiators between Bittensor and alternative approaches: Feature Bittensor Protocol Traditional AI Platforms Other AI Cryptocurrencies Governance Model Decentralized via TAO staking Corporate control Varies by project Data Processing Distributed across nodes Centralized servers Mixed approaches Incentive Structure Token rewards for useful work Subscription/licensing fees Diverse tokenomics Transparency Open-source, verifiable Proprietary, opaque Generally open-source 2026-2030 Price Prediction Methodology and Considerations Price predictions incorporate quantitative models and qualitative assessments of technological progress. Analysts typically examine historical volatility patterns, adoption curves, and macroeconomic factors. The cryptocurrency market demonstrates particular sensitivity to technological breakthroughs and regulatory developments. Therefore, any projection must acknowledge inherent uncertainties in emerging technology sectors. Several scenarios could influence TAO’s valuation through the prediction period: Accelerated Adoption Scenario: Rapid integration of Bittensor subnets by enterprises and developers Moderate Growth Scenario: Steady expansion following current trajectory with incremental improvements Competitive Pressure Scenario: Increased competition from both blockchain and traditional AI solutions Regulatory Impact Scenario: Changing global policies affecting AI development and cryptocurrency usage Market data from 2023-2024 indicates growing institutional interest in AI-cryptocurrency convergence. Major technology firms increasingly explore blockchain applications for artificial intelligence. This trend potentially benefits protocols like Bittensor that establish early infrastructure. However, technological execution remains crucial for sustained value creation. Expert Perspectives on AI Cryptocurrency Valuation Financial analysts emphasize fundamental metrics over speculative trends when evaluating emerging technologies. Network participation rates, computational throughput, and developer activity provide meaningful indicators. These metrics often correlate more strongly with long-term value than short-term price movements. Bittensor’s unique value proposition centers on creating decentralized intelligence markets rather than simply executing AI computations. Technology researchers note several challenges for blockchain-based AI systems. These include computational efficiency limitations, data privacy implementations, and model verification mechanisms. Bittensor’s ongoing development addresses these concerns through protocol upgrades and subnet innovations. The project’s open-source nature enables community scrutiny and collaborative improvement. Risk Factors and Market Dynamics for Bittensor TAO Cryptocurrency investments inherently involve volatility and uncertainty. AI-focused projects face additional technological and adoption risks. Market participants should consider several factors when evaluating Bittensor’s potential. Technological execution risk represents a primary concern for any protocol developing complex machine learning infrastructure. Network security and scalability challenges require continuous attention from development teams. Competitive landscape evolution significantly impacts market positioning. Both traditional AI companies and new blockchain projects develop alternative solutions. Bittensor must maintain technological advantages and community engagement to preserve its market position. Regulatory developments create another layer of complexity for global cryptocurrency projects. Different jurisdictions approach AI governance and digital asset regulation with varying frameworks. Market liquidity and exchange availability affect token accessibility for different investor categories. Bittensor has achieved listing on several major cryptocurrency exchanges since its inception. However, broader institutional adoption often requires additional regulatory compliance and custody solutions. These infrastructure developments influence potential market participation. Conclusion Bittensor (TAO) represents a pioneering approach to decentralized artificial intelligence with distinctive economic mechanisms. Price predictions through 2030 depend on multiple variables including technological adoption, competitive responses, and regulatory environments. The protocol’s success ultimately relies on creating sustainable value through useful machine intelligence production. Market participants should monitor fundamental metrics including network participation, subnet diversity, and technological milestones. These indicators provide more meaningful signals than short-term price fluctuations for evaluating Bittensor’s long-term potential within the evolving AI cryptocurrency landscape. FAQs Q1: What fundamentally drives Bittensor’s TAO token value? The TAO token derives value from its utility within Bittensor’s decentralized machine learning network. Participants earn tokens for contributing valuable intelligence, while users spend tokens to access network capabilities. This creates economic incentives aligned with network growth and utility. Q2: How does Bittensor differ from other AI cryptocurrency projects? Bittensor implements a unique decentralized intelligence marketplace where multiple machine learning models compete and collaborate. The protocol emphasizes creating a peer-to-peer intelligence economy rather than simply providing AI-as-a-service. This fundamental architectural difference distinguishes its approach. Q3: What are the primary risks for Bittensor’s long-term adoption? Key risks include technological execution challenges, competitive pressure from both blockchain and traditional AI solutions, regulatory uncertainty, and network security considerations. Successful navigation of these factors significantly influences adoption trajectories. Q4: How do analysts typically project cryptocurrency prices several years ahead? Analysts combine multiple methodologies including fundamental analysis of network metrics, comparative market analysis, adoption curve modeling, and scenario planning. These approaches acknowledge the inherent uncertainty in emerging technology sectors while providing structured evaluation frameworks. Q5: What metrics should investors monitor for Bittensor’s fundamental health? Important metrics include active validator count, subnet creation and usage rates, computational power dedicated to the network, developer activity, protocol upgrade implementations, and partnership announcements. These indicators often correlate with long-term network value more reliably than short-term price movements. This post Bittensor (TAO) Price Prediction 2026-2030: Decoding the Revolutionary AI Crypto’s Market Trajectory first appeared on BitcoinWorld .
25 Mar 2026, 20:21
Cardano Founder Celebrates One of the Largest Deals Ever

Cardano founder Charles Hoskinson is celebrating what he calls one of the ecosystem's "largest deals ever," following a promising tie-up between the privacy-focused Midnight blockchain and UK-regulated Monument Bank.
25 Mar 2026, 20:10
McLaren F1’s Strategic Move: Joining the Hedera Council to Revolutionize Enterprise Blockchain

BitcoinWorld McLaren F1’s Strategic Move: Joining the Hedera Council to Revolutionize Enterprise Blockchain In a significant development at the intersection of high-performance sports and distributed ledger technology, the McLaren Formula 1 team has officially joined the Hedera Governing Council. This strategic move, confirmed in early 2025, grants the iconic racing outfit full voting rights to help steer the operational future of the enterprise-grade Hedera network. Consequently, this partnership marks a pivotal moment for blockchain adoption within global, data-intensive industries. McLaren F1 Joins Hedera Council with Full Governance Rights The McLaren Racing Limited entity now serves as a governing member of the Hedera Council. This council operates the decentralized public network underpinning the HBAR cryptocurrency. Specifically, McLaren will participate in crucial decisions regarding network software upgrades, treasury management, and node operations. Therefore, the team brings a unique perspective rooted in real-time data analytics, supply chain logistics, and global fan engagement. Hedera Hashgraph distinguishes itself from traditional blockchains by utilizing a directed acyclic graph (DAG) consensus mechanism called Hashgraph. This technology promises higher throughput and lower energy consumption. For instance, the network claims to handle over 10,000 transactions per second with finality in seconds. McLaren’s involvement suggests a practical, performance-oriented validation of this enterprise-focused platform. Governing Council Role: McLaren now helps operate network nodes and vote on proposals. Enterprise Focus: Hedera targets business applications requiring speed, fairness, and auditability. Technical Distinction: The Hashgraph consensus avoids the computational waste of proof-of-work mining. The Convergence of Motorsport and Distributed Ledger Technology Formula 1 has increasingly embraced digital transformation. Teams now manage vast streams of telemetry data from sensors on their cars. Furthermore, they coordinate complex, just-in-time global supply chains for parts. Simultaneously, they seek deeper digital connections with a worldwide fanbase. Blockchain technology, particularly in its enterprise form, offers solutions for data integrity, asset tracking, and tokenized experiences. McLaren’s entry follows other major corporations on the Hedera Council, including Google, IBM, Deutsche Telekom, and Boeing. The council’s structure requires members to serve limited, rotating terms to ensure decentralization. This model aims to prevent any single entity from controlling the network. Ultimately, it fosters trust among developers and enterprises building on the Hedera platform. Expert Analysis on the Strategic Partnership Industry analysts view this move as mutually beneficial. For Hedera, associating with a globally recognized, high-tech brand like McLaren provides immense visibility and credibility. Conversely, for McLaren, access to a governed enterprise blockchain could streamline operations and unlock new commercial models. For example, the team could use the network for authenticating limited-edition digital collectibles or securing sensitive vehicle performance data shared with partners. “The partnership is less about cryptocurrency speculation and more about foundational infrastructure,” noted a technology analyst from a leading research firm. “McLaren operates in an environment where milliseconds and data integrity are paramount. Their choice to engage at the governance level of Hedera signals a serious, long-term exploration of DLT for core business functions, not just marketing.” Historical Context and Broader Industry Impact The collaboration continues a trend of sports organizations exploring Web3 technologies. However, many early forays involved simple fan tokens or NFTs on consumer-facing blockchains. McLaren’s deep integration into a governing council represents a more mature, operational approach. It focuses on the back-end technology that powers applications rather than just the consumer-facing assets. This decision also reflects the evolving regulatory landscape for digital assets. Enterprise blockchains like Hedera, which emphasize compliance and governance, may face fewer regulatory hurdles than more permissionless networks. By joining a council with established corporations, McLaren aligns itself with a framework designed to meet global business and legal standards. Hedera Council Member Sectors (Select Examples) Sector Example Member Primary Contribution Technology Google Cloud infrastructure & development Telecommunications Deutsche Telekom Network operations & node hosting Aerospace Boeing Supply chain & logistics expertise Financial Services Nomura Financial market structure & compliance Motorsport & Engineering McLaren Real-time data systems & global brand Conclusion McLaren F1’s accession to the Hedera Council marks a sophisticated step in the adoption of enterprise blockchain. The partnership moves beyond superficial branding to embed the racing team in the governance of a critical technological infrastructure. By leveraging its expertise in speed, data, and global operations, McLaren can directly influence a network poised to transform various industries. This strategic move by McLaren F1 underscores the growing convergence between elite sports logistics and next-generation digital ledger technology, setting a new precedent for practical blockchain integration. FAQs Q1: What does it mean for McLaren to join the Hedera Council? McLaren has become a governing member with voting rights. The team will help make decisions on software updates, network fees, and node operations for the Hedera enterprise blockchain network. Q2: Is Hedera the same as Bitcoin or Ethereum? No, Hedera uses a different consensus mechanism called Hashgraph. It is designed for enterprise use, prioritizing high speed, low cost, and energy efficiency over the purely permissionless model of Bitcoin or Ethereum. Q3: Will McLaren start using cryptocurrency or NFTs? While specific applications are not yet detailed, the governance role suggests McLaren is exploring underlying blockchain infrastructure. This could support future use cases like supply chain tracking, digital assets, or secure data sharing, not just consumer NFTs. Q4: Who else is on the Hedera Governing Council? The council includes major global corporations like Google, IBM, Deutsche Telekom, Boeing, and Nomura. Members serve limited terms to ensure the network remains decentralized and governed by a diverse group. Q5: How does this benefit the Hedera network? McLaren brings prestige, real-world expertise in high-stakes data management, and a global audience. The partnership validates Hedera’s enterprise focus and may inspire similar organizations to build applications on the network. This post McLaren F1’s Strategic Move: Joining the Hedera Council to Revolutionize Enterprise Blockchain first appeared on BitcoinWorld .
25 Mar 2026, 20:05
Coinbase and Chainlink Expand Partnership With Onchain Data Integration

Coinbase and Chainlink have connected institutional exchange data to public blockchains for the first time, giving decentralized finance ( DeFi) developers access to market information that previously existed only in centralized systems. Coinbase Market Data Reaches Blockchain Networks Through Chainlink Integration The integration runs through Datalink, Chainlink‘s data publishing service for institutional-grade datasets. Coinbase‘s available
25 Mar 2026, 19:40
Blue-Chip Crypto Projects Face Alarming 12.5% Inactivity Rate Among Token Issuers

BitcoinWorld Blue-Chip Crypto Projects Face Alarming 12.5% Inactivity Rate Among Token Issuers A sobering new analysis reveals a significant vulnerability in the cryptocurrency sector’s upper echelon. According to recent data, 12.5% of blue-chip crypto projects that once generated substantial revenue and issued their own tokens are now inactive. This finding, reported by Unfolded and sourced from the respected analytics platform DeFiLlama, presents a critical examination of long-term sustainability in the blockchain space. The data, current as of early 2025, highlights a notable disparity when compared to similar projects without native tokens, which show a lower inactivity rate of 8.3%. This report delves into the metrics, context, and potential implications of this trend for investors and the broader digital asset ecosystem. Blue-Chip Crypto Projects: Defining the Inactive Cohort The analysis specifically focuses on a select group of blockchain initiatives. These projects historically demonstrated robust economic activity, each generating over $10 million in monthly fees at their peak. Furthermore, they all created and distributed their own native tokens. The designation ‘inactive’ is not applied lightly. Analysts typically use several key indicators to determine this status. These indicators include a complete cessation of meaningful on-chain transactions, no development commits to core repositories for multiple quarters, and a collapse in community engagement across official channels. Consequently, this 12.5% figure represents projects that have effectively ceased operational and developmental functions, not merely those experiencing a temporary downturn. This inactivity stands in stark contrast to the broader perception of ‘blue-chip’ assets as durable and resilient. The crypto market often views these projects as foundational pillars. However, the data suggests that even well-funded initiatives with established tokens can fail. Several factors commonly contribute to this decline. These factors include unsustainable tokenomics, failure to adapt to technological shifts, and depletion of development treasuries. For instance, some projects could not transition their business models after initial hype faded. Others faced insurmountable technical debt or security challenges. The Data Methodology Behind the Numbers DeFiLlama’s data aggregation provides a transparent view of project health. The platform tracks total value locked (TVL), fee revenue, and developer activity across hundreds of protocols. Analysts cross-reference this on-chain data with GitHub activity, social media updates, and governance proposal participation. A project enters the ‘inactive’ classification only after displaying zero across all these metrics for a consecutive six-month period. This rigorous methodology ensures the reported 12.5% inactivity rate reflects genuine abandonment, not temporary hibernation. The comparison cohort—projects without tokens but with similar historical fee generation—undergoes the same evaluation process, yielding the 8.3% benchmark. Token Issuance and the Sustainability Paradox The core finding of the analysis reveals a provocative pattern. Token-issuing projects exhibit a higher rate of inactivity than their non-token counterparts. This 4.2-percentage-point gap invites serious scrutiny of the role tokens play in project lifecycles. Initially, a native token often provides crucial capital and community alignment. It fuels development through treasury funds and incentivizes user participation via rewards. However, this financial instrument also introduces complex long-term pressures. Projects must manage token inflation, holder expectations, and regulatory compliance indefinitely. Conversely, projects operating without a token sometimes rely on more traditional software monetization or service fees, potentially creating a simpler, more focused operational model. Experts point to several specific challenges tied to token models. First, the constant need for liquidity and market making can drain resources. Second, community governance via token voting can lead to decision paralysis or contentious hard forks. Third, the speculative nature of token markets can distract teams from core product development. Historical examples from the 2021-2022 cycle show several high-fee projects that could not sustain their token economies post-bull market. Their fee revenue collapsed, making token-based treasury allocations unsustainable. Meanwhile, some fee-generating protocols without tokens simply adjusted their service pricing and continued operating with a smaller, dedicated user base. Financial Complexity: Managing tokenomics, treasury diversification, and market volatility. Regulatory Overhead: Navigating evolving global securities and financial regulations. Community Management: Balancing governance demands with technical roadmap execution. Incentive Misalignment: Short-term token price speculation versus long-term protocol utility. Comparative Landscape: Token vs. Non-Token Protocol Resilience The 8.3% inactivity rate for non-token, high-fee projects provides an essential comparative baseline. This lower rate suggests certain structural advantages. Projects without a tradable token often avoid the ‘hyper-financialization’ trap. Their teams can concentrate exclusively on software utility and user experience. Their revenue model is typically direct and transparent, such as taking a percentage of facilitated fees or charging subscription access. This focus can enhance resilience during market downturns. For example, several major blockchain infrastructure providers and data oracles have operated for years without a native token. They have successfully scaled by serving enterprise clients and developers who prioritize reliability over speculative gain. Nevertheless, the non-token model has its own limitations. It often requires traditional venture capital funding, which comes with different expectations and exit pressures. It may also struggle to bootstrap a decentralized community or achieve the same level of network effects as a well-designed token system. The data does not suggest that avoiding a token is a universal solution. Instead, it highlights that the decision to issue a token introduces a permanent, complex layer of financial engineering that not all projects are equipped to maintain over a multi-year horizon. The success stories in both categories underscore that execution, market fit, and adaptable governance are ultimately more critical than the presence or absence of a token. Historical Context and Market Cycle Impact The current data reflects the accumulation of failures across multiple market cycles, particularly the post-2021 contraction. The bull market of 2020-2021 saw an explosion of new projects with token launches. Many achieved blue-chip status rapidly due to soaring fee revenue from speculative trading and yield farming. However, when market activity normalized, their economic models proved fragile. The 12.5% inactivity rate is, in part, a legacy of that period. It represents projects that could not transition from ‘viral growth’ to ‘sustainable utility.’ Analysts observe that inactivity often lags the market peak by 18-24 months, as teams exhaust their war chests and fail to find product-market fit in a bear market. This pattern underscores the importance of stress-testing project economics against full cycle volatility. Implications for Investors and the Ecosystem This analysis carries significant weight for multiple stakeholders. For investors, it reinforces the need for deep due diligence beyond past performance and fee numbers. Assessing a project’s runway, governance health, and tokenomics sustainability becomes paramount. The data argues against assuming that past blue-chip status guarantees future viability. For developers and founders, the study highlights the long-term commitment and operational complexity inherent in launching a token. It may encourage more conservative design, larger initial treasury buffers, and clearer sunset plans should adoption not materialize. For the broader blockchain ecosystem, a certain level of attrition is healthy, weeding out poorly designed systems. However, a high inactivity rate among top-tier projects could erode institutional confidence and slow mainstream adoption. It places greater emphasis on the remaining active projects to demonstrate not just innovation, but also operational endurance. Regulators may also scrutinize these findings, examining whether token-based fundraising models adequately disclose the risks of project abandonment to retail participants. The evolving narrative will likely shift from pure growth metrics to a more balanced scorecard including sustainability indicators. Conclusion The revelation that 12.5% of token-issuing blue-chip crypto projects are now inactive serves as a crucial reality check for the industry. This data, meticulously compiled from on-chain sources, moves beyond anecdote to quantify a real sustainability challenge. The notable gap compared to non-token projects underscores the additional burdens and risks associated with creating a native digital asset. While tokens remain a powerful tool for bootstrapping networks and aligning communities, they demand rigorous, long-term financial and operational management. As the blockchain sector matures into 2025 and beyond, the focus for both builders and investors will increasingly turn to durability, adaptive governance, and economic models that can withstand the test of time and market cycles. The health of the ecosystem depends on learning from these inactive projects to build more resilient foundations for the future. FAQs Q1: What defines a ‘blue-chip’ crypto project in this analysis? A blue-chip project in this context is one that historically generated over $10 million in monthly fees and achieved significant market recognition and adoption. The analysis specifically compares those that issued a native token against those that did not. Q2: How does DeFiLlama determine if a project is ‘inactive’? DeFiLlama uses a multi-factor assessment including no meaningful on-chain activity for six months, no code commits to primary repositories, absent social media and community communication, and no executed governance proposals. Q3: Why is the inactivity rate higher for token-issuing projects? Experts cite several reasons: the complexity of sustaining tokenomics long-term, regulatory overhead, distraction from product development due to market speculation, and the challenge of managing treasury assets through volatile market cycles. Q4: Does this mean projects should avoid issuing tokens? Not necessarily. Many successful projects thrive with tokens. The data suggests that issuing a token adds a permanent layer of financial engineering and community management that requires dedicated expertise and resources to maintain over many years. Q5: What can investors learn from this data? Investors should look beyond past fee revenue and assess a project’s runway, governance activity, treasury management strategy, and the sustainability of its token economic model, especially under bear market conditions. This post Blue-Chip Crypto Projects Face Alarming 12.5% Inactivity Rate Among Token Issuers first appeared on BitcoinWorld .














































