This is a pretty interesting move from @DawnInternet 👀 Digital infrastructure is becoming one of the biggest parts of the AI economy, from compute to connectivity. Now DAWN is bringing that infrastructure onchain through the USD.infra Vault. The idea is simple: connect capital with the infrastructure powering the internet and the next wave of AI. DAWN built the network. Now they’re adding the financial layer. USD.infra Vault is officially open 🔓

i just applied for the first encrypted NFT on ethereum. @FungoLabs is the name. it is powered by @zama FHE. apply here: fungolabs.org/apply/

Gm friends Are you ready to make today count ?

Been digging into @DacxiCoin and the idea behind it is quite different. Instead of focusing on another generic crypto use case, Dacxi Chain is targeting the crowdfunding space. Its first piece, Ironstone, is designed around making crowdfunding data more reliable, verifiable, and easier to move between platforms. The long term goal is much bigger too. Dacxi wants to create an interconnected network where crowdfunding platforms can communicate and operate across a shared ecosystem. $DXI is built to play a role within that network as the infrastructure continues to develop. The DXI/USDT pair is also now available on Uniswap, giving users a decentralised way to access the token onchain. Still early, but definitely one I’ll be keeping an eye on. CA: 0x5e29CF3E3fEd4df50aCab95f8268e9ee26Ea36f2

Everyone is launching an AI agent. I’m more interested in what happens when there are millions of them. They all need models. Those models need compute. That compute needs infrastructure. That’s why $PIN caught my attention again. @pinlinkai already comes from the infrastructure side and is now building PinAI + Fractal on top of it. Instead of betting on one agent, you’re potentially getting exposure to the infrastructure, models and marketplace used by many of them. That’s a much more interesting AI bet to me.

The RWA narrative keeps getting bigger, but the numbers become much more interesting when you look underneath the headline. @coingecko is currently tracking more than $9.3B in tokenized real world assets, with around $1.4B in 24h trading volume across stocks, commodities, ETFs and other assets. Some tokens are showing double digit gains, but price alone doesn’t tell the full story. A token can be up 10% while having a relatively small market and limited liquidity. That’s why I’m paying attention to the combination of: → Tokenized market cap → Trading volume → Price movement → Asset type → Issuer and individual product Gold is a good example. Tokenized gold alone represents roughly $6B+ in market value, with hundreds of millions in daily volume. The bigger takeaway for me is that RWAs are becoming easier to analyze at the asset level. Instead of treating tokenization as one giant narrative, you can actually compare the assets, issuers, liquidity and performance. With 1,600+ RWAs tracked, @coingecko is making that breakdown much easier to follow. The market is growing. Now the real question is which assets actually develop deep liquidity. 👀

AI is changing how traders find information before the market reacts. @spepecleanroom is taking that idea into semiconductors by using AI to monitor material demand and identify potential market signals. Rather than manually digging through supply data, company activity, and industry trends, Spepe is designed to process that information and surface insights in real time. The interesting part is the timing. Getting useful signals early can matter more than simply knowing what already happened. If you’re watching semiconductor stocks and want another way to track emerging trends, give spepe.xyz a look. #spepe

Crypto Twitter is crowded with recycled posts and engagement farming, making it harder for quality information to stand out. That’s why I’ve been paying attention to @Pogo_Social. The platform focuses on KOLs sharing and supporting useful insights, giving strong opinions a better chance of reaching the right audience. For projects, this creates another route for getting narratives in front of people through actual conversations instead of endless promotional posts. Still early, but the approach is interesting. Better conversations could mean better alpha distribution.

Decided to throw a small bag at $ARCMAN 👀 I’ve been watching what’s happening around Arc, and I think there’s still plenty of room for new communities and assets to find their place. $ARCMAN caught my attention because it’s combining the community side with growing liquidity and distribution around the Arc ecosystem. With Peach exposure and the growing connection to the OKX ecosystem, more eyes could start landing on Arc native assets. Still early, so I’m keeping the position small and treating it as a high risk play. CA: 0x5849fd68a097b3ee7d87ce88a0fcbb76857648ff @Arcmanonarc NFA. DYOR.

Something interesting is happening with tokenized equities. Circle now has more than $222M of exposure represented through two separate tokenized products: → bStocks: ~$120.37M → Ondo: ~$101.79M The underlying company is the same, but the products are not. That distinction matters. As more financial assets move onchain, the bigger competition may shift from simply deciding what asset to tokenize to deciding who gets to distribute it, where it trades, and how users access it. Different issuers can have different structures, eligibility rules, redemption processes and liquidity. So these products shouldn’t automatically be treated as interchangeable. But seeing roughly $222M allocated across two versions of the same public company is a useful signal. Tokenization is moving beyond the “put stocks onchain” narrative. The next battle could be distribution, liquidity and user access. And that market is only getting started.

Just came across @pullstreetio and this one caught my attention. They’re experimenting with a different way to discover stocks on @RobinhoodApp through a mystery pack style experience. Instead of scrolling through endless tickers, you choose a pack, open it, and see which stock you get. It adds a little bit of curiosity and entertainment to something that normally feels pretty straightforward. The product is still in its early stages, so I’m watching to see how the concept develops. Pull Street is also looking for creators, traders and collectors to join its Ambassador Program. If you want to get involved early, applications are currently open 👇 Would you actually open a pack to discover your next stock? 👀

ALERT: Reports are circulating that @Bitget is currently facing a potential security incident. Some claims suggest losses could be as high as $170M, but I haven’t seen reliable confirmation of that figure yet. If you have funds on Bitget, stay calm and monitor official updates closely. Do NOT click random links or connect your wallet to any “recovery” site claiming to be related to the incident. Waiting for confirmed information from Bitget and reputable security researchers. 👀

The USD.infra Vault Is Now Open 🔓 The Internet runs on digital infrastructure. Now with DAWN, that infrastructure is financeable on-chain. Introducing the USD.infra Vault: A new way to finance digital infrastructure powering AI compute and connectivity.

This is a pretty interesting move from @DawnInternet 👀 Digital infrastructure is becoming one of the biggest parts of the AI economy, from compute to connectivity. Now DAWN is bringing that infrastructure onchain through the USD.infra Vault. The idea is simple: connect capital with the infrastructure powering the internet and the next wave of AI. DAWN built the network. Now they’re adding the financial layer. USD.infra Vault is officially open 🔓

This is an interesting step for @DawnInternet. Digital infrastructure already powers a huge part of the internet, from AI compute to connectivity, but most of the underlying cash flows remain disconnected from onchain capital. The USD.infra Vault is an attempt to change that. Instead of treating infrastructure as something that only institutions can finance, DAWN is bringing those real-world infrastructure cash flows into an onchain structure. AI demand is growing fast, and the infrastructure supporting it needs capital just as quickly. Now we get to see what happens when digital infrastructure becomes an investable onchain asset class. The USD.infra Vault is now open 🔓

Something interesting is happening with stablecoin liquidity on Hyperliquid. The number that caught my attention isn’t just the size of the balance. It’s how quickly it’s growing. According to DefiLlama, stablecoin balances on @HyperliquidX’s L1 have reached around $7.8B, representing a 13.56% increase over the past seven days. That means roughly $930M in additional stablecoin liquidity has entered the ecosystem in just one week. But the composition is even more interesting. USDC accounts for about 99.26% of the tracked stablecoin balance. Everything else combined represents less than 1%. Put another way, around $7.7B of the stablecoin liquidity sitting across Hyperliquid is USDC. That tells us something about how liquidity is forming around the ecosystem. Hyperliquid has built a strong trading environment, but stablecoin balances are another signal worth watching because they represent capital that can potentially be deployed across trading, DeFi and other onchain activity. And despite the growing competition between stablecoin issuers, this particular ecosystem is overwhelmingly concentrated around Circle’s dollar. The bigger question is what happens if this liquidity continues expanding. More stablecoins don’t automatically mean more trading volume or protocol revenue, but a rapidly growing capital base gives the ecosystem more room to support deeper markets and new financial products. For me, the interesting metric isn’t simply $7.8B. It’s whether Hyperliquid can keep turning that liquidity into productive onchain activity.

One thing in crypto card data caught my attention this week: Transaction activity can fall while the amount of money moving through the cards goes up. Looking at tracked programs doing more than $1M in weekly spending, two examples stand out: • @Plasma One saw spending rise 19.5%, while recorded events declined 4.7%. • @xplaceapp recorded a 10.9% increase in spending, even as active wallets dropped 4.8%. At first glance, lower activity might look like weakness. But looking at the amount spent per interaction tells a different story. For Plasma, that works out to roughly 25.4% more volume per recorded event. For xPlace, spending per active wallet increased by around 16.5%. That’s an important distinction. Crypto adoption isn’t only about how many wallets are active or how many transactions happen. The quality of the activity matters too. If fewer users are generating more spending, it could point toward users becoming more comfortable using crypto cards for larger or more frequent purchases. The bigger question is whether this pattern continues as these products expand beyond crypto native users. If crypto cards can move from being a niche spending tool to something people actually use for everyday payments, the value of the infrastructure could look very different over time. Fewer interactions doesn’t always mean less economic activity. Sometimes, it simply means the users who remain are doing more.

Everyone is watching $ZEC right now, but I think there’s another part of the trade that deserves attention. $NEAR is sitting underneath a growing amount of that activity through NEAR Intents. Recent data reported by CoinDesk showed daily $ZEC volume routed through NEAR Intents had increased around 6x, while $NEAR itself moved roughly 23% on September 21. That connection is interesting because the user doesn’t actually need to hold $NEAR to use the system. The flow looks something like this: $ZEC holder ↓ Requests a swap ↓ NEAR Intents finds competing solvers ↓ Solvers compete to execute the transaction ↓ User receives the desired asset The important piece is the abstraction. Users care about getting from one asset to another. They don’t necessarily care which chain, bridge or liquidity venue handles the transaction underneath. That creates a potentially interesting role for NEAR: becoming part of the infrastructure that quietly handles cross-chain demand without requiring every user to become a NEAR user. But there’s an important distinction here. More volume through the system does not automatically mean more value accrues to $NEAR. Solvers capture execution economics. Distribution partners can take a cut. Infrastructure costs money. And the amount of activity that ultimately creates direct demand for the token can be much smaller than the headline transaction volume suggests. So I wouldn’t look at rising ZEC volume on NEAR Intents and immediately translate it into token value. The more interesting question is whether NEAR can turn growing intent volume into durable economic activity around its broader ecosystem. That’s the part I’m watching.

. $BTCX has been catching my attention lately 👀 It’s built by @jeffkirdeikis, the founder of TrustSwap, which previously reached a reported $500M market cap and secured more than $2B onchain. The interesting part is how BTCX works. Instead of simply holding a token and waiting for price appreciation, BTCX uses StonkFun mechanics where 3% of every transaction is used to buy leveraged Bitcoin, which is then distributed to BTCX holders. So the model creates a direct connection between token activity and Bitcoin exposure. The combination of Bitcoin rewards, leveraged BTC exposure and the token’s trading activity is what makes this one worth watching. The real question now is whether the model can sustain that momentum as more people discover it. 👀 $BTCX 🟠