WilcosX.eth

If you’re only tracking AI tokens on @base , you’re probably missing half the picture. Agents now need compute, payments, execution, and memory. I mapped the 5 layers underneath them: > Layer 1 - Inference & Compute. > Layer 2 - Payments & Agent Rails. > Layer 3 - Launch & Ownership. > Layer 4 - Execution / DeFAI. > Layer 5 - Data, Memory & Verticals. Let’s explore here. Layer 1 - Inference & Compute Giving agents a brain. This is where agents access models and compute. @AskVenice - $VVV private inference for AI agents. @OpenGradient - local/private AI agents through DreamFort. @usedotai - $DOT high scale inference; the source notes 7.71B tokens processed in 2 weeks. @OpenProtocolFND 500+ models, datasets, and GPU access through one API, with x402 settlement AI compute is becoming a resource that agents can discover, consume, and pay for on their own. Layer 2 - Payments & Agent Rails Giving agents a bank account and permissions. Once agents start using APIs or managing assets, they need to spend autonomously without having unlimited control. @BlockRunAI lets agents pay for AI requests through x402. @openservai - $SERV reasoning infrastructure connected with Coinbase AgentKit. @ClawBankHQ - $CLAWBANK scoped API keys, risk classes, and verifiable actions. @wardenprotocol - $WARDEN identity, balances, and delegated spending for agents. An agent wallet is evolving from a place to hold tokens into a payment + identity + permission layer. Layer 3 - Launch & Ownership Turning agents into economic assets. Base already has strong token-launch infrastructure, so AI is naturally getting its own ownership layer. @virtuals_io - $VIRUALs tokenized agents and AI-managed teams/treasuries. @clanker_world - $clanker social/Farcaster-native token launches. @gitlawb deploy a token and lock LP in one transaction. @flaunchgg air-launch infrastructure using Uniswap v4 hooks. Base isn’t just hosting AI apps. It’s also building markets where agents can be owned and monetized. Layer 4 - Execution / DeFAI Giving agents the ability to actually do things. This is probably the most important layer. @bankrbot limit, TWAP, stop, and DCA orders. @DopaMintLabs turns chat/iMessage commands into on-chain actions. @basemateagent stablecoin routing through SMS. @aeonframework autonomous agents running through GitHub Actions and paying through x402. AI is moving from answering to executing. Instead of users clicking through multiple DeFi interfaces, they give an intent and let the agent handle execution. Layer 5 - Data, Memory & Verticals Giving agents memory and specialization. Without memory, an agent is still mostly a stateless chatbot. @reppo datanets for agents. @sibylcap agent memory infrastructure and benchmarks. @hellominds_ persistent agents with memory, identity, and skills. @QuotientHQ forecasting agents. @Auki AI agents moving into robotics and spatial infrastructure. --- After DeFi agents, the stack is starting to branch into forecasting, consumer AI, music, and robotics. AI agents brought attention to Base. But the real buildout is now happening one layer deeper across the infra they depend on. Compute, payments, execution, ownership, and memory: these are the 5 sectors I’m watching.

Who actually pays when something goes wrong in DeFi? Imagine depositing into a lending vault offering an attractive APY. Everything looks fine until a smart contract exploit, collateral failure, or liquidity crisis puts your capital at risk. Who absorbs the loss? I've been looking at how different protocols are approaching this question. Before capital is deployed, @CredoraNetwork and @gauntlet_xyz help evaluate exposure through credit ratings, risk modeling, and simulations. During execution, @BlockSecTeam and @phylaxsystems focus on detecting threats and enforcing security controls. But prevention is only part of the equation. What happens once a loss occurs? @Firelightfi is developing onchain cover backed by FXRP capital, with claims subject to defined conditions. @NexusMutual uses mutual capital to cover eligible risks, while @soter_insure focuses on insurance for digital asset businesses. @sherlockdefi combines security reviews with exploit protection. Meanwhile, @Corkprotocol approaches risk through financial markets, allowing users to hedge exposures such as depegs and redemption uncertainty. Other protocols are exploring how losses can be contained internally. @twynexyz uses internal liquidations to manage distressed credit positions. @LidoFinance has introduced layered protection for its Earn vaults, combining Firelight coverage with DAO-funded loss protection, subject to eligibility and available capital. These approaches differ in what they protect, who provides capital, and how losses are handled.

The business of onchain data is expanding into 5 distinct markets. > Data Indexing & Infrastructure. > Enriched Data & Analytics. > Financial Intelligence. > Verifiable Data. > Agent-Accessible Data & Evaluation. In 2026, @AlliumLabs raised $40M, @CambrianNetwork secured $6M, and @DatalineAI raised $10.6M. The map splits like this: 1. Data Indexing & Infrastructure Turning raw blockchain activity into structured, queryable data. @goldskyio : real-time indexing, enriched data feeds and streaming pipelines. @envio_indexer : high-performance data retrieval and multichain indexing through HyperSync and HyperIndex. @ChainbaseHQ : multichain datasets, indexing and data infrastructure for applications and AI. 2. Enriched Data & Analytics Making blockchain activity usable for research, applications and financial operations. @AlliumLabs : standardized and enriched blockchain data for institutions, fintechs and developers. @sentioxyz : indexing, analytics and monitoring tools for blockchain applications. 3. Financial Intelligence Moving from transaction records toward financial decision-making. @CambrianNetwork : APIs covering DeFi yields, lending markets, liquidity, risk and trading data for institutions and AI agents. @artemis : financial metrics and market intelligence across crypto, stablecoins and other assets. 4. Verifiable Data Cryptographic guarantees about the data and computations applications rely on. @spaceandtime : Proof of SQL makes database queries verifiable, so smart contracts can consume the results. 5. Agent-Accessible Data & Evaluation Making information and evaluation services available to autonomous software. @DatalineAI : agent-payable data feeds with confidence scoring and x402 payments. @reppo : AI evaluation infrastructure where agents pay for assessments through APIs. Each market serves a different customer with a different revenue model. Developers pay for indexing and APIs. Financial institutions pay for standardized data, reconciliation and risk intelligence. Smart contracts need verifiable results. AI agents increasingly buy machine-readable information and services on demand, per call.. As more financial apps and AI agents run onchain, the fight shifts to which layer of the data stack captures the most value.

Robinhood Chain crossed $120.46B in cumulative DEX volume. Now the competition for execution is widening. @Uniswap says the chain was its fastest to reach $100B, within 125 days of mainnet. Robinhood's snapshot also shows ~$280M in Uniswap TVL, compared with $4.52M on @uponrh . Other venues are building their own markets: - @aeroxyz : Slipstream liquidity, with ~$106M in 24h DEX volume on Nov 6, per DefiLlama. - @RamsesExchange : 30+ Stock Tokens and over $2.9B in cumulative volume reported in Robinhood's recap. - @metricxyz : Active liquidity pools with custom pool deployment. - @SushiSwap : Eight additional Stock Tokens on its AMM. - @KyberNetwork : Aggregated execution, limit orders and cross-chain routing. - @near_intents : ETH and USDG cross-chain access spanning 180+ assets across 30+ chains. Uniswap remains the dominant execution venue, while competing AMMs and routers expand the options for Stock Token trading. The next market share signal is how much daily Stock Token flow these venues retain, alongside liquidity depth and execution spreads.

Robinhood Chain's next growth layer is forming around what users can do after acquiring Stock Tokens. The ecosystem is expanding beyond spot execution: - @IndexifyApp : LIVE with Stacks, self-managed onchain indexes that can include Robinhood Chain assets. - @glider__ : Automated portfolio management and tokenized-stock investment strategies. - @pendle_fi : Fixed and leveraged yield exposure, including a USDG market maturing in March 2027. Access and infrastructure are expanding alongside these products. - @Mercuryo_io : Direct ETH and USDG fiat on-ramps. - @ZenGo : Self-custodial wallet supporting Stock Tokens and crypto. - @nansen_ai : Network analytics and onchain capital-flow tracking. Robinhood is also investing in the next wave of builders. @RobinhoodCrypto and @arbitrum have announced $1.8M in Open House funding. The 12-week Arbitrum Mentorship Program Cohort 2 offers $100K in total prizes, with applications open until December 6. Its mentor network includes @Paxos , @variational_io and @USDai_Official , alongside Pendle and other ecosystem teams. The next measure of adoption is whether these products can turn Stock Token trading activity into sustained portfolio balances, yield demand and recurring onchain usage.

Robinhood Chain generated $16.5M in ecosystem revenue over the past 30 days. The leaderboard looks quite different once you zoom out: - The Standard Reserve: $3.52M. - @Lighter_xyz : $2.11M. - @ponsdotfamily : $1.77M. - @arcus_xyz : $1.74M. - @Uniswap : $1.51M. But the 7D trend is different. Lighter and Arcus are holding roughly the same daily revenue pace as the preceding 23 days. The Standard Reserve is running ~43% lower, Pons ~44% lower, and fomo ~74% lower on the same basis. So the 30D leaderboard tells us who captured demand. The recent pace shows which revenue streams are holding up. For me, perps stand out here: Lighter and Arcus generated a combined $3.85M in 30D, and their revenue pace has remained relatively steady. A useful lens for tracking where Robinhood Chain's economic activity is actually sticking.

The next wave of trading venues is taking shape beyond traditional prediction markets like @Kalshi and @Polymarket . Kalshi's reported $1B raise shows the capital entering the sector. Meanwhile, smaller teams are exploring leveraged outcomes, social trading, onchain orderbooks and narrative-based exposure. Five projects worth tracking: LEVERAGED OUTCOMES @ForecastFDN : Mainnet approaching, targeting liquidation-free leverage on tokens, assets and outcomes, with ambitions of 1000x. SOCIAL TRADING @TradeOnsight : Alpha-stage platform where traders can earn rewards for accurate market calls. ONCHAIN ORDERBOOKS @ArcherExchange_ : V2 LIVE on @solana, featuring fully onchain spot matching, permissionless markets and low-cost maker updates. NARRATIVE & EVENT TRADING @cesto_co : One-click thematic baskets on @solana, making it easier to trade broader market narratives. @SynthesisTrade : Cross-venue prediction market aggregation and execution infrastructure. These projects are targeting different parts of the trading experience, from how users express market views to how positions are priced and executed. As outcome driven trading expands, liquidity depth, execution quality and repeat trading activity will determine which venues gain lasting traction.

Nearly 80% of capital in this October funding snapshot went to one company. Across 10 selected raises, $1.26B was announced. @Kalshi alone secured $1B in Series G funding for prediction markets. The remaining $260.9M spread across three sectors: AI & Compute | $136M @NousResearch : $90M Series B, led by Robot Ventures, for AI research. @hyperbolic_labs : $30M Series A1 led by Walden Catalyst for GPU cloud infrastructure. @luxor : $16M strategic round led by CMT Digital, spanning mining, AI compute and derivatives. Financial Infrastructure | $106.9M @Spiko_finance : $90M Series B for round-the-clock, yield-bearing cash infrastructure. @0xPredicate : $8M Series A for embedded digital asset compliance. @Mochatradeapp : $4.9M seed led by CoinFund for rupee-funded US stock perps. @BirchHill_io : $4M seed led by Multicoin for regulated onchain US credit. Trading & Brokerage | $18M @VestExchange : $13M seed from Portal Ventures for cross-asset perpetuals. @spicenet : $5M Series A led by dao5 for onchain brokerage infrastructure. Capital in this sample is backing AI compute capacity, regulated financial rails and trading infrastructure connecting traditional assets with onchain markets. Kalshi dominates the headline funding figure. The next signal is whether these smaller infrastructure bets can translate capital into sustained usage and revenue.

Solana's leverage market is splitting across execution, risk design and collateral. Four venues show how different the products are becoming. PERPS | Trading Access @bulktrade : LIVE orderbook perps built for low-latency execution, targeting 20ms blocks. Referral-link access and Challenger Season 1 rewards are active. @ImperialPerps : CODE-GATED BETA terminal combining perps routing with its Armada liquidity engine. Points rankings are live. LEVERAGED TOKENS | LIVE @hylo_so : xSOL, xBTC and xHYPE offer leveraged long exposure without position liquidations. XP is active, while effective leverage varies with collateral conditions. STOCK-BACKED CREDIT | DEVNET @SpoutFi : Developing 0% interest USDC loans against tokenized equities, up to 50% LTV. Covered-call premiums fund lenders, with borrowers giving up some upside. The trade-offs are increasingly distinct: - Perps: execution speed, funding and liquidation risk. - Leveraged tokens: variable exposure and volatility decay. - Stock backed credit: collateral efficiency and options driven costs. The next test is how much real trading and borrowing demand these models retain beyond early-access incentives.

Hyperliquid's next spot ecosystem is forming before the mainnet. HyperEVM operates at 3M gas/s to protect @HyperliquidX 's core execution. @Kinetiq_xyz is building @Enter_Elysium with a 300M gas/s target and 100–200ms blocks, designed for faster quoting, prop AMMs and active spot markets. Public testnet is LIVE. Mainnet is scheduled for November 9, with HYPE as gas and settlement to HyperEVM. The trading stack is already taking shape: 1/ Trading Access & Distribution @fomo : ANNOUNCED exclusive trading partner. @Pumpfun : In-app Elysium trading planned from launch. @HyperFlow_fun : Hyperliquid trading frontend and Elysium partner. 2/ Spot Liquidity & Execution @Uniswap : AMM support announced. @KyberNetwork : KyberSwap routing planned for day one. @0xProject : Swap API integration announced for day one. @NestExchange : HYPE-aligned DEX planned from the first mainnet block. 3/ Asset Launch & Discovery @AscendLaunch : Day-one launchpad and builder support. @MontraXYZ : Community launchpad preparing for mainnet. @oxleydotfun : TESTNET auctions and deal markets. @kalosfun : TESTNET DEX, trading and NFT marketplace. 4/ Derivatives & Tokenized Assets @DeriveXYZ : V3 options support announced. @xStocksFi : Tokenized equities planned from day one, excluding US persons. Infrastructure support comes from @conduitxyz (sequencing) and @goldskyio (indexing). The proposed liquidity path: Elysium AMMs → Prop AMMs → HyperCore Spot → HIP-3 Perps Direct HyperCore integration is expected ~4 weeks after mainnet. Sequencer fees: 25% to builders, 25% to Kinetiq treasury and 50% to KNTQ buybacks for the Hyperliquid Assistance Fund. The real test is whether Elysium can retain fee-paying volume and turn early spot liquidity into sustained HyperCore order flow.

The real competition for Solana spot volume is happening behind the Swap button. @humidifi is a prime example. With no public trading frontend, its proprietary AMM uses predictive quoting and dynamic inventory management to compete for orders routed through @JupiterExchange , @dflow , @Titan_Exchange and @okx . At its peak, HumidiFi claims ~35% of Solana spot DEX activity. DefiLlama data (Oct 28): - 7D volume: ~$259M. - 30D volume: ~$1B. BisonFi and Tessera V show this is becoming a broader market-making category. The model is also reaching adjacent markets: @metricxyz : Live-priced active pools across EVM chains, with ~$1.25B in 7D volume. @ImperialPerps : Armada, a proprietary AMM liquidity engine for perpetual futures, currently in restricted access. For execution desks, the emerging structure separates two competitive advantages: router distribution and market-making performance. Aggregators bring the orders. Proprietary AMMs compete to win the fills through pricing, spreads and inventory efficiency. The value of Solana order flow increasingly depends on both who routes it and who prices it.

Uniswap v4 Aggregator Hooks bring external DEX liquidity into swaps across Ethereum, Base, and Robinhood Chain. @Uniswap says seven launch sources cover 90%+ of DEX activity on these chains. Connected liquidity includes: - @CurveFinance : Curve liquidity. - @0xfluid : Fluid markets. - @PancakeSwap : V3 pools. - @aeroxyz : Slipstream liquidity. - @SkyEcosystem : LitePSM. - Uniswap V2/V3 pools and forks. Traders can combine liquidity across venues in one transaction, with quotes refreshed every block and no new approvals. Uniswap also says externally routed swaps generate protocol fees contributing to UNI burn. That raises the stakes for independent aggregators like @1inch, @CoWSwap, @odosprotocol and @matchaxyz, which compete on execution quality and routing. A growing infrastructure layer supports this market: - @AmlilHook : Aggregator routing on Robinhood Chain. - @open_hooks : Bonding-curve aggregator hooks. - @kyromarkets : Aggregator Hook and pool indexing. - @HookRank : Hook discovery. The key metrics are routed volume, execution quality and external liquidity utilization. Uniswap can now capture routing activity from liquidity it doesn't own. The next advantage belongs to whoever controls order flow and captures execution fees, even when another venue supplies the liquidity.

AI is booming. GPU lenders are picking winners. Neocloud credit is splitting. @CoreWeave faces reported debt market pressure, while @LambdaAPI secured ~$1B at 6.78% fixed, backed by contracted cash flows from investment grade customers. @PanteraCapital identifies the real bottleneck: energized data center capacity. Its model estimates ~$40–50B in annual revenue across the AI stack per additional GW. Yet power scarcity and model pricing pressure make value capture increasingly uneven. Crypto is exploring alternative financing and compute models: - @USDai_Official : GPU-backed loans, with GLX designed to sell facilities and recycle capital. - @prlnet : Proof of Useful Work connecting AI compute with network security, alongside @togethercompute . - @akashnet & @ionet : Distributed GPU marketplaces aggregating compute from independent providers. The opportunity goes beyond owning more GPUs. Capital efficiency, secured demand and compute utilization will determine who captures the next wave of AI infrastructure growth.

Tokenized stocks are moving beyond 24/7 trading into 24/7 lending. @RobinhoodCrypto reports Robinhood Chain TVL has reached a new ATH above $1.14B. But the bigger development is how tokenized equities are becoming usable collateral across DeFi. Two ecosystems are building this infrastructure: 1/ Robinhood Chain (@arbitrum-based) @Morpho enables stablecoin borrowing against Robinhood Stock Tokens. @longbowlend curates markets where eligible users deposit tokenized stocks/ETFs to borrow USDG. Lending access excludes US persons. 2/ @base eco @aave V4 Coinbase Tokenized Stocks Hub brings stock collateral into USDC lending. USDC supplier incentives are already live. Why does this matter? Tokenized stock platforms are no longer competing solely on listings and trading access. The next competitive layers are: - Stablecoin liquidity and borrowing demand. - Collateral efficiency and lending utilization. - Risk management when traditional exchanges are closed. And the ecosystem is still expanding. On October 27, @ClutchMarkets plans to launch "Books" Social Capital Markets on Robinhood Chain alongside @MancerXYZ , adding another trading layer to the growing infrastructure. The next advantage belongs to platforms that can support reliable credit against tokenized equities, even when Wall Street is closed.

Perps are expanding across nearly every asset class. Stocks, commodities, indices, and even pre-IPO exposure are finding their way into 24/7 onchain markets. A quick look at what's available: STOCKS & INDICES @variational_io : ASTS perps with zero fees and up to 20x leverage. FX and additional single stocks are next. @reya_xyz : Mag7 at 15x, SPY and QQQ at 25x. @Lighter_xyz : OURA pre-IPO exposure and TTWO at 5x. @tradexyz : Cambricon and TWST at 10x through @HyperliquidX. COMMODITIES @Aster_DEX : Silver perps with up to 100x leverage and Brent crude at 50x. @Ostium : TradFi-focused perpetual markets using offchain hedging. @edgeX_exchange : Multi-asset perps covering crypto, equities, commodities, and indices. DISTRIBUTION This is where the market gets more interesting. @OrderlyNetwork is distributing Brent, AVGO, and PLTR markets across its network of 500+ DEXs. Meanwhile, @Kalshi has introduced a US 500 index perpetual, while @RobinhoodApp is expanding perp access for US traders. The opportunity extends beyond listing more assets. As TradFi perps spread across venues, liquidity depth, execution costs, and distribution will determine where traders actually stay. That's the competition worth tracking.

My daily onchain toolkit: 14 tools, sorted by the job I open them for. Try one per job this week. TOKEN CHECKS @Rugcheckxyz : scans Solana tokens for holder concentration and liquidity risk. @bubblemaps : shows wallet clusters behind a token. WALLET TRACKING @CieloFinance : alerts on the wallets I follow, across 30+ chains. @nansen_ai : Smart Money flows across 500M+ labeled addresses. CHARTS AND DEX DATA @GeckoTerminal : pools and charts across 226 networks. @birdeye_so : live charts and trades on Solana, Sui and EVM chains. FUNDAMENTALS @tokenterminal : fees and revenue, laid out like a financial statement. @artemis : an AI analyst that answers research questions from 15+ datasets. RESEARCH DATA @Dune : normalized datasets across 100+ chains. @AlliumLabs : stablecoin and payments data, with a quarterly report. SECURITY @RevokeCash : checks and revokes token approvals on 80+ networks. @etherscan : reads any Ethereum transaction, address or contract. PORTFOLIO @DeBankDeFi : my EVM portfolio in one view. @zerion : a wallet that tracks every position across 66 chains. Each job has a specialist tool now. Pairing one tool per job is how onchain research stays fast and accurate.

Another AI x DeFi project building on Robinhood Chain! @rangepilotio is combining: → Uniswap v4 for liquidity management. → User-owned vaults for LP positions. → AI operators for automated execution. The opportunity here is pretty clear. LP strategies that once required constant manual management could become accessible through automated workflows. Curious to see the adoption. CA: 0x0d92477c8D66f2a6a95B83b9526de4e61be1D733

A $10K loan against bitcoin costs about $212 a year on Arc. On Base, the same loan costs about $523. So I priced one BTC-backed dollar loan across four desks before I borrow. Each line is a live market, borrow rate as of this morning: - @coinbase : cbBTC loans in the app, powered by Morpho on Base. $1.6B borrowed at 5.23%. - @krakenfx : kBTC backs $213M of RLUSD loans on Morpho Ethereum at 3.50%. - @circle : issues cirBTC on @arc . $179M of USDC borrowed at 2.12%. - @aave : one pooled USDC rate on Ethereum, about 4.6%, with WBTC or cbBTC as collateral. WHY THE GAP? A borrow rate is the price lenders accept. On Arc, the Galaxy and Keyrock USDC vaults hold $165M and earn 1.95%. On Base, the biggest USDC vaults earn 4.2% to 4.7%. THE FINE PRINT The Morpho markets above liquidate at 86% loan-to-value. Aave liquidates WBTC and cbBTC at 78%. Rates float with demand, so the cheap desk can reprice within a day. HOW I'D BORROW 1. Pick the dollar first: RLUSD and USDC price differently. 2. Stay under 50% LTV. 3. Recheck the rate weekly. Bitcoin credit now has chain-by-chain prices. Holders who compare desks keep more of their BTC upside. NFA DYOR!

An AI agent found a 2015 bug in the XRP Ledger with $94B at risk. Veria Labs took the maximum $250K bounty, per its Oct 11 post. I read this week's AI security news as a small-cap buyer. AGENTS TAKE THE NIGHT SHIFT Octra runs a 24/7 agent fleet on its code. Hours after the pipeline went public, it caught a bug class Octra paid a five-figure bounty for in June, cofounder Alex said Oct 15. THE BIG BUYERS ARRIVE OpenAI is in early talks to buy Trail of Bits, the auditor behind Slither, The Information reported Oct 13. SMALL TEAMS BRING IT TO SMALL CAPS > @verialabs : AI security for apps "in hours", behind the XRPL find. > @octane_security : agentic security for critical software, 4 CVEs in Chrome, VirtualBox and QEMU, per Octane. > @FirepanHQ : AI-native scans, audits and token risk, pentesting live since Oct 13. MY CHECK BEFORE I APE 1. Open the token's Firepan Sentinel profile: contract safety, holder concentration, liquidity. 2. Find an audit dated after the last upgrade. 3. Confirm a live bug bounty, proof the team pays to keep looking. Security is moving from a launch-day audit to a live feed. The teams publishing it set the bar traders check before sizing in.

. @RobinhoodCrypto Chain users paid $131M in fees over 30 days. Two apps kept 75% of it. So I followed one dollar through the chain and checked who gets paid at each stop. One yardstick where it fits: 30-day fees. The dollar arrives It lands as a stablecoin first, so here the yardstick is supply. - @global_dollar USDG: $697M. - @ethena USDe: $352M. The dollar buys a stock This stop is Robinhood's home turf, so the yardstick is holders and volume. - @RobinhoodCrypto Stock Tokens: $165M held by 197K wallets. - Robinhood reports $15B in Stock Token DEX volume by Oct 12. - That is about 90x the value held today. The dollar swaps That turnover clears on DEX pools, next to every memecoin trade. Uniswap earned $7.87M of its $14.81M Sept protocol revenue right here. - @Uniswap : $59.5M. - @fablesfi : $5.0M. The dollar now holds a stock or a coin. Next it looks for speed. The dollar opens an app Many traders reach those pools through a trading app. - @gmgnai : $5.4M. - @fomo : $4.6M. The dollar chases a launch The riskiest swaps hunt fresh coins. - @ponsdotfamily : $39.6M, the #1 launchpad. - @TradePools : $0.4M. The dollar rests Dollars that sit out the trade wait in lending. - @Morpho : $1.8M, with $1.06B in markets and $467M borrowed. - @SteakhouseFi : $1.6M as vault curator. Lent dollars get borrowed. The boldest dollars go further. The dollar takes leverage Perps open interest sits at $515M. Lighter held 93% of it on Sep 30. - @Lighter_xyz : $2.2M. - @arcus_xyz : $1.6M. The dollar hires a bot Some users hand those trades to agents. - @bankrbot : $1.3M. The rails under every stop Each stop above needs a price. @chainlink is the chain's official oracle, live since day one with Data Feeds, Data Streams and CCIP. The chain itself collected $3.5M in gas, at about $0.01 per transaction. So the fees follow speed. Uniswap and Pons carry 75%, and stock tokens turn over 90x. The $1.06B in Morpho markets moves slowest. The next MVP puts those resting dollars to work in daily trades.