Crypto Mark ⚡️

$XRP has a massive institutional adoption story. But who’s actually buying the token? Bloomberg Intelligence estimates that around 84% of XRP ETF assets are held by investors outside disclosed institutional 13F positions. Even more eye-opening: Goldman Sachs accounted for roughly 74% of the disclosed institutional holdings at the end of 2025. At the same time, look at the supply. Every month, Ripple releases 1 billion XRP from escrow. Around 700M typically goes straight back into a new lockup. That’s still 300M XRP leaving escrow every month. 3.6 billion a year at that rate. And here’s the problem. Banks can use XRP to move money without needing to hold billions of dollars of it on their balance sheets. Ripple’s business can grow enormously without creating equivalent long-term demand for the XRP token. Are investors confusing Ripple’s corporate success with actual investment demand for $XRP?

$TAO is finally tackling its biggest criticism: the lack of real-world demand. Bittensor’s new Gamma system lets subnets sell services via dollar-priced credits. The best part? When customers fund those credits with TAO, the network buys the subnet’s Alpha token and burns it. More adoption = potential buying pressure for TAO + shrinking Alpha supply. Bittensor is moving beyond miners competing for emissions. It’s building a real marketplace for AI services. Don’t sleep on Gamma.

AI is making it easier than ever to create a cryptocurrency. But it’s also making it easier to attack one. That could change what investors value in crypto. We’ve spent years chasing new chains, new narratives and increasingly complicated ecosystems. But what happens when launching a new project becomes almost effortless, while building a secure, sustainable network becomes increasingly difficult? Perhaps longevity and genuine decentralisation will become more valuable again. Look at $LTC, $ZEC, $DASH, $BCH, $XNO, $DCR and $DGB. These networks have something many newer projects don’t: years of independent operation and established communities. And there’s another important distinction. Many of these networks don’t need a company to pay for their blockchain to keep running. Independent miners, node operators and stakeholders provide the infrastructure, supported by incentives built into the protocols themselves. They aren’t dependent on a company constantly funding a separate blockchain to keep it alive. That doesn’t make them immune to attacks or guarantee their future success. But you can’t simply create 10–15 years of network history, independent infrastructure and established trust overnight with AI. I wonder whether the market is underestimating the value of crypto networks that have already stood the test of time. Could the next rotation favour the original decentralised cryptocurrencies rather than the latest AI or blockchain narrative? Are there any older, genuinely decentralised projects you’re watching or accumulating that you think the market is overlooking? I’d be interested to hear your suggestions.

The real story with $CPOOL isn’t the token migration. It’s the institutional lending opportunity Clearpool is positioning itself for. A few developments worth watching: • XLS-66 Lending Protocol has reached 21/35 validator votes in favour. • XLS-65 Single Asset Vaults has reached 23/35. Both need 29 votes and then two weeks of sustained support before activation. • Clearpool says nearly all exchanges will handle the CPOOL → CLEAR conversion automatically. For holders in their own wallets, the 1:1 migration opens on 17 November. But here’s the part I find more interesting. Clearpool has already originated over $965m in institutional loans across its existing markets. It’s now working with Ripple and Cicada Partners to bring institutional lending to XRPL, using RLUSD, native lending infrastructure and permissioned credit markets. Cicada handles borrower sourcing and credit underwriting, Ripple participates as an investor, and Clearpool builds the lending infrastructure. This isn’t simply another DeFi yield farm. The ambition is to connect real businesses needing working capital with institutional capital willing to provide it. If XLS-65 and XLS-66 pass, Clearpool could be positioned at the centre of a new institutional credit market on XRPL. The migration is one step. Building a much bigger lending business is the real opportunity. I’m watching this one closely.

I’ve been following what’s happening across the $TAO subnet ecosystem quite closely recently, and I’m starting to notice a pattern. Some of these projects are moving beyond development and beginning to win real customers. A few examples: • Yanez (SN54) has secured its largest customer yet, a major social media company. • OpenRoboto (SN80) has signed its first commercial robotics data pilot with a major Hungarian manufacturing complex. • Reliquary (SN81) has released a 9B model trained through collaboration across multiple Bittensor subnets, reporting 43.6% on SWE-bench Verified. Meanwhile, US lawmakers are calling for stronger AI safety testing, independent audits and oversight of advanced AI models. I find this particularly relevant. As AI becomes more powerful, questions around control, transparency and concentration of power are becoming harder to ignore. Could decentralised AI offer a meaningful alternative? Bittensor is attempting something quite different: independent teams competing to build useful AI products across a shared network. Robotics, identity verification, AI models and compute are just some of the markets being targeted. We’re still early, and plenty needs to be proven commercially. But I’m beginning to think the diversity of what’s being built across Bittensor is being underestimated.

$TAO subnets are starting to do something investors have been waiting to see… Win real customers. Generate revenue. Build actual businesses. Yanez (Subnet 54) has just announced its largest customer yet — a household name in social media. The name is under NDA, but think about the potential. Identity verification and detecting fake accounts are becoming increasingly important as AI makes it easier to create convincing bots and fake identities. This is exactly the sort of real-world problem Bittensor subnets should be solving. Forget the hype for a moment. Commercial adoption is what I want to see more of across Bittensor. And it looks like it’s starting to happen.

Are we starting to see the end of the standalone Layer 1 era? Something is happening across crypto that I think deserves more attention. $ZEN moved to Base. $CELO migrated to an Ethereum L2. $LSK has shut down its own chain. And now $ZIL is abandoning its standalone L1 to become an Ethereum L2 focused on regulated institutions. What’s driving this? Zilliqa has openly admitted that usage, funding and liquidity weren’t sufficient to sustain its own chain. Security was another major challenge. I think there’s a bigger lesson here. Why spend millions maintaining your own blockchain when you can build on established infrastructure with existing liquidity, developers and users? Perhaps the next winners won’t be the projects with their own chains, but those building the most useful products on top of existing networks. Is owning a Layer 1 becoming a competitive disadvantage rather than an advantage?

Everyone talks about the trillions of dollars that could eventually move on-chain. But look at what Aviva is actually doing with $XRP. Its £22bn Sterling Liquidity Fund now has a tokenised share class on the XRP Ledger, initially backed by a £50m investment. Across two tokenised funds, Aviva now has over £86m invested. That’s still a tiny fraction of the traditional fund market. But perhaps that’s the point. Institutional adoption doesn’t happen overnight. It starts with smaller allocations, testing the infrastructure before scaling. If those allocations grow into billions, the opportunity for tokenisation could be enormous. Are we looking too much at today’s numbers and not enough at where this market could be in five years?

$LTC is making another move into institutional finance. The Litecoin Foundation has endorsed a project to bring a reserve-backed version of Litecoin, called cLTC, onto the Canton Network. Why does this matter? It could allow Litecoin to be used in institutional trading, lending and as collateral within financial markets. The LTC backing it will also be publicly verifiable, with independent checks planned. Litecoin has been around since 2011. Its institutional ambitions could be entering a new chapter. Is the market overlooking what could be developing around $LTC?

$TAO is starting to demonstrate something that could become very important for the future of decentralised AI. Macrocosmos, operating Bittensor’s Subnet 9, has just released IOTA Decide 4B, its first public open-weights AI model. But it’s how they built it that caught my attention. The 4B parameter model was trained across 16 globally distributed GPUs using Macrocosmos’s IOTA SDK. It scored 78.6 on the JevBench composite, reportedly placing it among the top 10 of more than 300 systems. And it’s released under an Apache 2.0 licence, opening the door for developers and businesses to use it. Why does this matter? Because Bittensor subnets aren’t just competing for emissions. They’re increasingly trying to build useful AI products that can compete in the real world. If those products attract users, developers and paying customers, we’re looking at something much bigger than a crypto incentive network. We’re looking at the foundations of a decentralised AI economy. One model doesn’t prove the thesis, but this is exactly the kind of progress I want to see across Bittensor. Could this be an early glimpse of what the TAO ecosystem becomes over the next few years?

$QNT could be heading for a major opportunity in institutional finance. But could its biggest success actually create a problem for token holders? It’s a question that should sound familiar to $XRP investors. Ripple has built a substantial financial technology business, but its commercial success doesn’t automatically translate into demand for XRP. Now Quant faces a similar question. Its selection by The Clearing House to provide interoperability infrastructure for a US tokenised deposit network is a significant development. But here’s what investors need to consider… Could banks use Quant’s technology, generate millions in revenue for the company, and never actually need to buy QNT? There may be a commercial reason for this. Banks want predictable costs, regulatory clarity and minimal exposure to volatile crypto assets. Paying a technology provider in dollars is much simpler than being required to acquire and hold a cryptocurrency. Perhaps keeping the token optional makes it easier for companies like Quant and Ripple to win institutional business. But it creates a dilemma for investors. If banks don’t need the token, how much of that institutional success actually flows through to its holders? I’m genuinely interested in what Quant is building. But I want to see evidence that growing adoption creates measurable demand for QNT. Could Quant become a major player in institutional finance while QNT struggles to capture the value? That’s the question I think the market needs to start asking.

$TAO’s most important development might not be another AI breakthrough. It could be the emergence of a real commercial economy underneath the network. SubConnect’s latest Bittensor Revenue Index estimates annualised revenue across revenue-generating subnets has climbed: $35M → $50M → $70M. That’s a 100% increase in just two months. Barry Silbert has also highlighted the growth, describing the Bittensor ecosystem as being on fire. But there’s another number I think investors should be watching… Annual TAO emissions are estimated to be worth more than $300M. So despite the impressive revenue growth, there’s still a significant gap between what the ecosystem earns from customers and what the network distributes in emissions. That’s the next challenge. If subnets can keep growing customer revenue, improve margins and increasingly fund their own token demand through commercial activity, Bittensor’s economics could look very different. I think the market should be paying close attention to this transition. The question is no longer just whether Bittensor can attract developers and miners. It’s whether it can build an ecosystem of profitable businesses. That’s what could make $TAO particularly interesting over the longer term.

$XRP holders have a legitimate question for Ripple: If Ripple’s business is becoming so successful, how does XRP actually benefit? I understand the frustration. Ripple is expanding rapidly, RLUSD is growing and institutional partnerships are multiplying. But corporate success doesn’t automatically translate into demand for XRP. Take the recent BNY announcement. One of the world’s largest custodial banks is expanding its Ripple relationship to support custody of both XRP and RLUSD, while exploring tokenised trade finance on the XRP Ledger. A significant step for institutional adoption. But Ripple could go further. Imagine XRP becoming a core liquidity and collateral asset across its institutional infrastructure. Banks using XRP not just as a bridge currency, but to provide liquidity, support borrowing and settle transactions across financial markets. That would create a much stronger structural reason for institutions to hold XRP. Ripple has built an impressive financial powerhouse. Now I’d like to see that success translate into measurable utility and demand for the token. Ripple doesn’t owe holders a specific price, but surely the long-term ambition should be to make XRP indispensable to the financial ecosystem it’s building? What do you think Ripple needs to do to drive real utility for XRP?

$KAS could be positioning itself for one of crypto’s biggest growth opportunities. Stablecoins and tokenised money are increasingly attracting banks, institutions and billions in capital. But here’s what caught my attention… Kaspa is exploring its own decentralised dollar, an overcollateralised stablecoin backed by KAS. Why is this important? A native stablecoin could provide the missing liquidity needed to unlock lending, borrowing and DeFi across the Kaspa ecosystem. Imagine combining Kaspa’s high-speed Proof-of-Work network with a growing stablecoin and DeFi ecosystem. If the team can deliver, this could be a significant catalyst for $KAS. Could Kaspa be preparing for a much bigger role in the next phase of crypto adoption?

$TAO could be building something that eventually challenges parts of the traditional cloud computing industry. Most crypto investors still think of Bittensor as an AI network. But what if its real opportunity is much bigger? Imagine a global marketplace where businesses and AI agents can rent powerful NVIDIA GPUs without relying entirely on AWS, Google or Microsoft. That might sound like a distant vision. But one Bittensor subnet is already attracting thousands of paying customers. And the latest numbers are considerably bigger than I expected… Lium (SN51) has billed customers $2.36 MILLION in the last 30 days. That’s across 25,934 rentals and 1.07 million GPU-hours delivered. Even more interesting, 80% of the GPU capacity offered on its marketplace was utilised over that period. It now has 1,785 GPUs listed across 31 models, including NVIDIA B300s and H200s. This is what makes Bittensor interesting to me. It’s not simply trying to build another AI model. Its 128 subnets are competing to provide different digital services, from AI and computing to other specialised applications. Not every subnet will succeed, and Lium’s marketplace billings aren’t the same as net profit or direct value flowing to TAO. But if more subnets can attract real customers and generate sustainable commercial activity, Bittensor could become a much bigger ecosystem than the market currently appreciates. Are investors overlooking what $TAO could eventually become?

Is $QNT quietly taking over the institutional interoperability opportunity that many originally associated with $XRP? For years, XRP was marketed around connecting banks, financial institutions and cross-border payments. But look at what Quant is building. Overledger connects traditional banking infrastructure with different blockchains, allowing institutions to move and manage tokenised money across networks. And now The Clearing House, which operates US payment networks processing over $2 trillion every day, has selected Quant to power its On-Chain Money Initiative. This is about connecting banks, tokenised deposits and existing payment systems. I’m not saying QNT replaces XRP. They solve different problems. But I do think Quant is becoming a serious player in the institutional financial infrastructure space. Are we starting to see the institutional interoperability opportunity that many expected XRP to capture being built out by projects like Quant?

$CPOOL is entering a significant new chapter. Clearpool has confirmed a 1:1 migration to $CLEAR, starting 17th November. One important detail: CLEAR will remain an ERC-20 token on Ethereum, even as Clearpool expands its institutional credit infrastructure onto the XRP Ledger. Its CEO has also been at Ripple Swell discussing the future of institutional credit on XRPL. The bigger opportunity here isn’t simply a new token. It’s Clearpool positioning itself to connect institutional capital with lending and real-world credit markets across different blockchain ecosystems. If it can attract serious institutional capital and generate meaningful lending activity, the opportunity could be considerably bigger. I’m watching closely to see how this develops. Could institutional credit become one of the biggest use cases for XRPL?

Ripple is expanding its empire. So why are $XRP holders getting increasingly angry? Three major issues keep coming up: 1. Ripple continues securing major partnerships, expanding institutional adoption and building its financial business, yet XRP’s price seems unable to reflect that progress. 2. Ripple’s growing focus on RLUSD has some holders questioning whether its stablecoin business could succeed without creating meaningful demand for XRP. 3. Monthly escrow releases and the amount of XRP still under Ripple’s control remain a major concern. Brad Garlinghouse says Ripple will never abandon XRP and insists RLUSD and XRP are complementary. But holders want more than reassurance. They want to see Ripple’s success translate into real value for XRP. I’m not taking sides, but here’s another question: Could this level of frustration and negativity actually be a sign that XRP is approaching a market bottom? Or is the market simply losing confidence? What do you think?

$TAO could be one of the biggest beneficiaries of the AI boom. AI computing demand is forecast to grow by 35% every year through 2030. That’s an extraordinary growth rate for an industry already attracting hundreds of billions of dollars in investment. Bittensor already has 128 subnets competing to deliver AI models, computing power and other services. If it captures even a small share of this expanding market, I think the potential upside is enormous. With TAO pulling back recently, I’m interested to know: What price are you looking to buy more at?

The parent company of the New York Stock Exchange is getting involved with $HYPE. ICE has partnered with Trade[XYZ] to bring Hyperliquid-based perpetual markets into the US, and is making a strategic investment in the business. These markets could eventually offer 24/7 trading of stocks, commodities, currencies and crypto. Traditional finance is starting to build on decentralised exchange infrastructure. Could Hyperliquid become a major bridge between traditional finance and DeFi?