HOTTEST CRYPTO NARRATIVES RIGHT NOW ◇ RWA @Ondo ( $ONDO ) @plumenetwork ( $PLUME ) @Zebec_HQ ( $ZBCN ) @re ( ethereum:0x526526528f35ac738177003b8773b402b8df8143 ) ◇ Privacy @Zcash ( $ZEC ) @monero ( $XMR ) @zano_project ( $ZANO ) @AnyoneFDN ( $ANYONE ) ◇ DeAI @opentensor ( $TAO ) @AskVenice ( $VVV ) @origin_trail ( $TRAC ) @_Qubic_ ( $QUBIC ) ◇ Layer 1 @SuiNetwork ( $SUI ) @kaspaunchained ( $KAS ) @pharos_network ( $PROS ) @KeetaNetwork ( $KTA ) ◇ Quantum Resistance @grvt_io ( $GRVT ) @ETHGasOfficial ( $GWEI ) @flyingtulip_ ( $FT ) @HyperliquidX ( $HYPE )

Highest TPS Layer-1 and Layer-2 Projects (30D): • Internet Computer ($ICP): 9.1K • Solana ($SOL): 1.7K • BNB Chain ($BNB): 204.2 • Aptos ($APT): 163.3 • Tron ($TRX): 145.7 • Sui ($SUI): 145.6 • Chainflip ($FLIP): 122.4 https://t.co/XsbeW1J204

The Decentralized AI Agents Race. Forget L1 or memecoins, AI Agents are where serious capital is moving. Could these three break into the $1B club? → @AskVenice ( $VVV ) → @GoKiteAI ( $KITE ) → @virtuals_io ( $VIRTUAL ) Are these the next 10x of decentralized AI? 👇 🔴Venice Protocol ( $VVV) : The Uncensored Inference Layer ✦ Tech Used → Private Generative AI + Staking-Based Inference Access • Open-source AI models deliver private text, image, and code generation with user-controlled privacy. • Staking $VVV gives users and agents access to a pro-rata share of daily inference capacity. • Designed for autonomous agents that need reliable AI output without per-request billing or centralized platform limits. Venice Protocol is not trying to build the agent economy itself. It is building the inference layer that agents need to think, and operate at scale. Think of it as uncensored AI infrastructure for developers and autonomous systems. ✦ Network / Service Design → API-First + Agent-Native Infrastructure • Built on Base with API access for developers, users, and autonomous agents. • Focuses on private inference rather than agent launchpads or payment rails. • Supports agent workflows that need low-friction access to AI models. Venice gives agents the “brain fuel” they need: private, uncensored, and always accessible inference. ✦ Token / Economy → $VVV Staking for Capacity Ownership • $VVV staking unlocks ongoing inference capacity. • Staked supply can reduce liquid token availability. • Network growth can increase the value of staked capacity as more compute comes online. • Revenue from API usage and premium access supports the broader ecosystem. My take: Venice Protocol is the strongest infrastructure play for private AI inference. If autonomous agents need cheap, uncensored compute, $VVV sits directly in that value chain. ⚫KITE ( $KITE ): The Payments & Trust Layer for Agents ✦ Tech Used → Agentic Layer-1 + Verifiable Identity Infrastructure • Kite Chain is an EVM-compatible Layer-1 designed for agent payments, coordination, and trust. • Agent Passport gives autonomous agents identity, programmable permissions, budgets, audit trails, and revocation controls. • Built for stablecoin settlement, cross-chain messaging, and machine-speed transactions. Kite solves one of the biggest missing pieces in the AI agent economy: how agents safely move value. Autonomous agents can generate content, execute tasks, or interact with apps, but they still need secure payment rails. That is where Kite fits. ✦ Network Design → Payments-First Blockchain for Autonomous Agents • Purpose-built for agent-to-agent and agent-to-human transactions. • Programmable guardrails allow agents to operate within safe limits. • Audit trails make agent activity easier to verify. • Low-fee, high-speed infrastructure supports frequent small transactions. Kite is not just another general-purpose L1. Its design targets the payment and coordination layer for agents that need to transact without constant human intervention. ✦ Token / Economy → $KITE Gas, Staking & Usage-Aligned Incentives • $KITE is used for gas and network transactions. • Staking supports validators, delegators, and module participation. • Usage-driven fee activity can create natural demand as agent transactions grow. • Token incentives align with real payments and services across the network. My take: Kite is the purest bet on agents becoming economic actors. If autonomous agents start paying, hiring, settling, and coordinating on-chain, $KITE has a clear role as the trust and payment layer. 🔵Virtuals Protocol ( $VIRTUAL ): The Agent Tokenization Layer ✦ Tech Used → Agent Commerce Protocol + Tokenized Agent Stack • EconomyOS gives agents identity, wallets, memory, payroll, and economic tools. • Agent Commerce Protocol enables agents to hire, sell, coordinate, and complete tasks through on-chain standards. • The capital markets layer turns agents into tokenized, co-owned businesses. Virtuals Protocol turns AI agents from simple bots into on-chain economic entities. Instead of just deploying an agent, users can launch, tokenize, co-own, and participate in the value created by that agent. This makes Virtuals one of the clearest platforms for the ownership side of the agent economy. ✦ Network Design → Society of AI Agents on Base • Full launchpad for creating and tokenizing AI agents. • Agents can operate across jobs, markets, wallets, and social platforms. • Frameworks like G.A.M.E. support more advanced agent behavior. • Governance and ecosystem coordination help structure the broader agent economy. Virtuals is building the market layer where agents have identity, capital, ownership, and revenue potential. Its advantage is traction. While some projects focus on one part of the stack, Virtuals connects agent creation, and ownership into one ecosystem. ✦ Token / Economy → $VIRTUAL as Base Asset + Governance Primitive • Fixed 1B token supply. • Agent tokens pair with $VIRTUAL for liquidity. • Used for launching agents, routing trades, staking, and governance. • veVIRTUAL staking can unlock ecosystem benefits and agent-related incentives. My take: Virtuals Protocol is the strongest agent ownership and launchpad play. If the future includes thousands of tokenized, revenue-generating agents, $VIRTUAL is positioned as a core coordination asset. Conclusion: Inference Layer: $VVV > $VIRTUAL > $KITE Venice Protocol gives agents the private, uncensored inference they need to operate. Virtuals benefits from agent activity, but inference is not its core layer. Kite focuses more on payments and trust. Payments, Identity & Coordination Layer: $KITE > $VIRTUAL > $VVV Kite has the clearest edge in agent payments, permissions, identity, and trust. Virtuals also supports agent coordination, but Kite is purpose-built for machine-speed settlement. Agent Economy & Tokenization Layer: $VIRTUAL > $KITE > $VVV Virtuals has the strongest position for launching, tokenizing, and co-owning AI agents. Kite can support agent commerce, while Venice provides the inference layer behind the scenes. My Takeaway: If you want exposure to private AI inference for autonomous agents → Venice Protocol ( $VVV ) If you want the payments, identity, and trust rails for agents → KITE ( $KITE ) If you want to launch, tokenize, and co-own AI agents → Virtuals Protocol ( $VIRTUAL ) These three projects sit at different layers of the same AI agents stack. Venice powers agent intelligence. Kite enables agent transactions. Virtuals creates the ownership and market layer around agents. The biggest winner will likely be the project that turns its narrative into real usage, sustained developer activity, and durable token demand.

Here are a few projects I am keeping an eye on from the top narratives right now 👀 Layer-1: $KAS, $QUBIC, $SUI Quantum: $QTC, $NAORIS, $QRL AI: $TAO, $VVV, $TRAC RWA: $ONDO, $RE, $PLUME Which projects are your favourites from these narratives? 👇 NFA, DYOR

$PONS daily fees fell from $11.42M to just $363.8K. That's a 97% drop from the September peak. The token is also down 75.6% from its ATH. Is @ponsdotfamily losing momentum, or is this a temporary cooldown? 🧵👇 https://t.co/6Tg0ESTAw9

AI Tokens and What They Do: $TAO : Decentralized AI network, machine learning subnets, model training & inference marketplace $SERV : AI agent platform, reasoning engine, no-code AI builders, agent marketplace & collaboration tools $VVV : AI inference marketplace, decentralized GPU access, privacy-focused AI infrastructure $FET : Autonomous AI agents, machine learning marketplace, agent economy & AI infrastructure $VIRTUAL : Tokenized AI agents, agent-to-agent commerce, co-owned autonomous businesses $TRAC : Verifiable AI data, decentralized knowledge graph, trusted infrastructure for AI models $QUBIC : AI-native Layer-1, decentralized computation, feeless transactions & high-performance smart contracts

$DIAM surged 110% in a day. This came after a breach involving 161M unauthorized tokens. So why is the token pumping? 🧵👇 https://t.co/SDjdnfhPfe

$318.5 trillion in stocks and bonds. Just $49 billion in tokenized RWAs on-chain. The gap is massive. But which tokens can turn adoption into demand? Here are 7 RWA projects to watch for the next wave. → $CPOOL → $CFG → $BKN → $PLUME → $TRAC → $ZBCN → $ONDO 🔵Clearpool ( $CPOOL): Bringing institutional borrowing on-chain Clearpool connects two groups: institutions that need capital and stablecoin holders willing to lend it. The product sounds simple. The difficult part is deciding who should get a loan and on what terms. Its approach includes: • Institutional credit vaults • Revolving lines of credit • Borrower screening • Tokenized lending positions through cpTokens • Expansion toward XRP Ledger and RLUSD For borrowers, the appeal is another source of working capital. For lenders, it is access to credit opportunities they might struggle to find elsewhere. But the return still comes from someone repaying a loan. Putting that loan on-chain does not remove the risk of missed payments. Lenders still depend on the borrower’s finances, the underwriting process, and what happens if something goes wrong. Tokenized lending positions need some explanation, too. A position may be transferable without being easy to sell. There still needs to be a buyer, and withdrawal terms can limit how quickly lenders get their money back. Holding $CPOOL is also different from lending through Clearpool. The token does not automatically give holders a claim on the loans or their interest. My view: $CPOOL tackles a clear problem in institutional credit. I would watch repayment quality, repeat borrowing, and demand from lenders. Growing loan volumes are encouraging, but only if the loans keep performing. ⚫Centrifuge ( $CFG): Helping asset managers bring funds on-chain Centrifuge provides the infrastructure asset managers need to put investment products on-chain. Those products can hold very different assets. A Treasury fund and a private-credit pool might use the same platform while giving investors very different levels of risk. Its setup includes: • On-chain pools and vaults • Multichain distribution • Senior and junior investment structures • Connections to DeFi liquidity • CFG governance The senior and junior structure matters. Senior investors generally get paid first. Junior investors take losses earlier in exchange for the possibility of higher returns. That changes who carries the risk, but the underlying investments still need to perform. On-chain reporting can make parts of a fund easier to inspect. It does not answer every question. Investors still need to know who manages the assets, who collects payments, and what rights they have if the arrangement breaks down. Concentration is another thing to watch. A few large funds or investors can account for much of a platform’s assets. One major allocation can lift TVL without showing that demand has become broader. My view: $CFG has a clear place in on-chain asset management. I would watch how many managers and investors keep using it, whether the product range becomes more diverse, and how reliably investors can redeem. Those details say more than TVL alone. ⚪Brickken ($BKN): Handling the work behind tokenization Creating a token is only one part of bringing an asset on-chain. A business also needs to onboard investors, check eligibility, keep ownership records, make distributions, and handle reporting. Brickken aims to put those tasks in one place. Its approach includes: • Token issuance and ongoing management • Investor onboarding and KYC tools • Support for equity, debt, and funds • Multichain deployment • Distribution and reporting tools The appeal is practical. Most businesses do not want to build their own tokenization system. They want software that helps them issue an instrument and manage it without adding unnecessary work. But good software cannot do everything. The legal structure still needs to hold up. Investors need clear rights. Transfer restrictions need to work, and the issuer may need to maintain those arrangements for years. For $BKN holders, there is another question: how does that activity benefit the token? The value of assets issued through a platform is not the same as the money the platform earns. Neither automatically tells you how much demand there is for its token. My view: $BKN is worth watching as a software business serving tokenization. I would focus on paying customers, repeat issuance, recurring fees, and the token’s actual role. A large issuance figure is more meaningful when customers keep coming back. 🟠Plume ( $PLUME) : Building a home for real-world assets Plume takes a broader approach. It is building a network where tokenized assets can be issued, distributed, and used across financial applications. The question is what happens after those assets arrive. Can people borrow against them? Put them into a vault? Move them between applications without too much friction? Its approach includes: • An EVM-compatible network focused on RWAs • Nest vaults • Asset distribution infrastructure • Connections with asset managers • DeFi applications for tokenized assets Making assets useful could give people a reason to keep them on the network. But each extra use brings more things to assess. Borrowing against an asset adds lending contracts, price feeds, and liquidation rules. An asset that looks stable on its own can become part of a much riskier position when someone borrows against it repeatedly. User numbers also need context. Many wallets do not necessarily mean much lasting demand. Rewards can attract deposits quickly, and the same deposits can leave when those rewards fall. My view: Plume is a bet on the ecosystem around tokenized assets. I would watch what people deposit, how they use it, and whether they stay after incentives fade. Lasting usage matters more than a short burst of inflows. 🟣OriginTrail ( $TRAC): Making information about assets easier to verify OriginTrail looks different from the lending and Treasury projects here. Its focus is the information behind real-world things. Its Decentralized Knowledge Graph organizes that information into Knowledge Assets that people and applications can discover and verify. That matters because creating a token does not make the information attached to it trustworthy. Its approach rests on: • The Decentralized Knowledge Graph • Knowledge Assets with on-chain anchoring • Supply-chain and enterprise applications • AI-related information discovery • TRAC for publishing, staking, and network incentives Think about a token linked to a physical asset. A buyer may need to check where it came from, its condition, its history, or the records supporting it. An application using that token may need the same information. OriginTrail works on making those records easier to find and check. There is a limit, though. Knowing who published a record and whether it has changed does not prove the original claim was true. The source of the information still matters, as do the checks around it. That also changes how you measure adoption. TVL tells you little about a network built around information. Paid publishing, repeat enterprise use, and demand for its data are more useful measures. My view: $TRAC belongs on a data-and-AI-for-RWA watchlist. I would look for businesses using it regularly and paying for that use. Its case rests on useful information services, rather than proximity to the tokenized Treasury narrative. 🟢Zebec Network ( $ZBCN): Building around everyday money movement Zebec starts with payments. Its products cover areas such as payroll, streaming payments, cards, and financial applications. That makes it different from a platform whose main job is issuing tokenized investments. Its RWA connection comes through the activity those payment rails support and the financial products they can help distribute. Its setup includes: • Real-time and programmable payments • Stablecoin payroll • Payment cards • A SuperApp • Tokenized-asset integrations The attraction is easy to understand. Businesses need to pay workers. People need to receive and spend money. If a product makes those jobs easier, users have a reason to return. The harder question is how much value the business earns from that activity. Large payment volumes can come with small fees. Even if revenue grows, token holders still need to understand how it connects to token demand, staking, or buybacks. Tokenized stocks inside an app raise separate questions. Users need to know what they hold, who provides it, where it is available, and how they can sell or redeem it. A convenient app does not replace those details. My view: $ZBCN makes more sense to me as a payments project first. I would watch payroll customers, card usage, fees, and retention. Its asset-distribution plans become more convincing if people already use the payment products regularly. ⚫Ondo Finance ( $ONDO): Bringing familiar investments on-chain Ondo focuses on assets investors already recognize. Its products offer tokenized access to investments such as U.S. Treasuries, alongside its expansion into stocks and ETFs. The appeal is straightforward: make traditional investment exposure easier to access and use through blockchain infrastructure. Its product set includes: • OUSG • USDY • Tokenized stocks and ETFs through Global Markets • Multichain distribution • Institutional integrations But the products should be assessed separately. OUSG and USDY have different structures and eligibility rules. Someone who can access one product may not qualify for another, and the rights and redemption terms can differ. The same care applies to tokenized equities. Getting exposure to a stock’s price does not necessarily give someone all the rights of a direct shareholder. The legal terms determine what the token holder can claim. Liquid underlying assets help. They do not remove every dependency. Investors still rely on custody, issuers, intermediaries, and redemption arrangements. Being able to transfer a token on-chain is only part of the experience. My view: Ondo has a clear role in bringing traditional investments on-chain. I would watch product demand, reliable redemptions, and whether its distribution partnerships bring lasting usage. These seven projects should not be treated as the same RWA trade • Clearpool connects lenders with institutional borrowers. • Centrifuge helps asset managers structure and distribute on-chain funds. • Brickken provides software for issuing and managing tokenized assets. • Plume builds the network where those assets can be used. • OriginTrail works on the information behind real-world assets. • Zebec focuses on payments and financial distribution. • Ondo brings traditional investment products on-chain. The RWA label is a starting point. It does not tell you what you own or where the risk sits. The useful questions are simple: What does the holder actually own? Who is responsible for paying them? What happens if something goes wrong? How easily can they get their money out? And if you are buying the project’s token, there is one more question: Why should more use of the product create more demand for that token?

$AIN is up 252.5% in 24H, pushing @infinityg_ai's market cap to around $26M. But this isn't a clean breakout story. The token crashed roughly 86% in a single day back in September. Now, an active buyback campaign is helping fuel a sharp recovery. Infinity Ground is building an AI-powered development platform around “vibe coding.” Users describe a Web3 app in natural language, and collaborative AI agents help generate smart contracts, application logic, the UI and deployment. The broader ecosystem includes an AI App Store for publishing and monetizing apps, alongside a planned dedicated blockchain called ING Network. $AIN is designed for platform payments, fees, staking, premium access and governance, with network gas utility planned for the future. The current rally has a more immediate catalyst, though. After the September crash, which the team attributed to a third-party operational error, Infinity Ground announced a new strategic funding round aimed at token remediation buybacks, ecosystem development and product work. According to the team's updates, a designated wallet has already purchased roughly $3M worth of $AIN, with buybacks still ongoing. That support, combined with renewed interest in AI-powered app development, appears to be driving the recovery. The numbers show just how aggressive the move has become: 24-hour gain: +252.5% Price: around $0.14 Market cap: approximately $26M Circulating supply: around 185.3M The September crash also remains important context. A buyback can support market demand, but it doesn't guarantee a lasting recovery. With futures activity and open interest elevated, leverage can amplify both the rally and any reversal. There is a legitimate product thesis here. AI agents that help people build and deploy Web3 applications could lower the technical barrier to creating onchain products. But today's price action is being driven heavily by buyback expectations, speculative positioning and the AI narrative. There is no major new product launch with detailed usage metrics behind this move. For $AIN, the next test is whether the recovery leads to sustained product usage and ecosystem growth once the immediate buyback catalyst fades. After a 252% surge following an 86% crash, volatility is part of the trade. The recovery is worth tracking, but it isn't proof that the underlying project has recovered at the same pace.

$APT is down roughly ~97% from its ATH. At around $0.7, it would need a nearly 29x move just to reclaim that peak. Four years after mainnet, the gap between Aptos' original promise and its on-chain performance is hard to ignore. Aptos launched in October 2022 with major backing, including roughly $350M raised by Aptos Labs at a reported $2B valuation. Its team came from Meta's abandoned Diem project, and the pitch was a high-performance Layer 1 built around Move, safety and scalability. The technology attracted capital. Sustained demand has been harder to establish. Token unlocks were a major source of selling pressure. Core contributors and early investors received around 32.5% of the initial 1B APT supply, with vesting spread across four years. That schedule formally ended around October 12, 2026, cutting scheduled monthly unlocks from roughly 11.3M APT to 4.54M APT. It's a meaningful reduction in supply pressure. But fewer tokens entering circulation do not automatically create more buyers. The usage figures remain a concern. • Native DeFi TVL is around $42M. • Stablecoin market capitalization is roughly $872M, including USDT, USDC and tokenized assets. • DEX activity and transaction fees remain modest relative to the network's ambitions. • Sui, which shares the Diem lineage, has around $472M in DeFi TVL. Stablecoins and tokenized assets show that Aptos has attracted some capital. The network has also changed its tokenomics in 2026. Gas fees increased 10x, with fees burned. Staking rewards were cut to 2.6%, the maximum supply was capped at 2.1B APT, and 210M APT was permanently locked or staked under the new measures. These changes reduce net supply growth. However, reported burns still cover only around 10% of emissions. Reaching net deflation would require a substantial increase in transaction activity. That leaves Aptos with two separate challenges: reducing supply pressure and creating durable demand. The first is being addressed through tokenomics. The second requires users, applications and economic activity that persist beyond incentives. Can APT recover from here? A rebound is possible, especially now that the largest insider unlock schedules have ended. But reclaiming its old ATH would require a roughly 29x gain, and the network has yet to demonstrate the usage growth that would make that valuation credible. My view: Aptos has reduced one of its biggest structural headwinds, but it hasn't solved its demand problem. After four years, investors need evidence of stronger organic activity, not another round of tokenomics changes. NFA, DYOR