John Gillen - WartimeEthereum.eth

Basically this

@Nomaticcap @LynAldenContact 😂😂

@BitcoinJesusETH @LynAldenContact Nothing stops this brain

+1 for proper use of @LynAldenContact's meme

I think my friend Andreas is correct

@KyleReidhead @MilkRoadAI Lotta burgers these days 😂

@BitcoinJesusETH @MilkRoadAI a nothing burger

$NBIS down 35% is a gift and it's going above $300 soon Everyone thinks Meta just killed Nebius, it didn't The company that supposedly declared war on Nebius signed a deal to BUY up to $27 billion of Nebius capacity less than 4 months ago Here's what happened and why $NBIS is a must buy On July 1, Bloomberg reported Meta is building "Meta Compute," a plan to rent out spare GPU capacity to outside customers Nebius fell 17% in a single day, roughly $12 billion in market value erased, and kept sliding from its June peak of $300 down below $200 in 3 weeks The market read that headline as competition, but Meta is actually just becoming an even bigger customer In March, Meta signed a 5 year deal with Nebius worth up to $27 billion, with $12 billion of it dedicated capacity. Companies do not hand $27 billion to a supplier they plan to destroy. Meta is renting because even while spending $125-145 billion on AI infrastructure this year, it cannot build compute fast enough And while the stock fell 30%, the business continues to accelerate (expanding in Europe and potentially India) Q1 revenue grew 684% year over year to $399 million (wow). AI cloud revenue grew 841% and AI cloud ARR hit $1.92 billion, up 54% in a single quarter Management reiterated $7-9 billion in ARR exiting 2026 and raised capex to $20-25 billion for one reason, demand keeps outrunning supply. Contracted power passed 3.5 gigawatts, targeting over 4 by year end. Capacity is effectively sold out before it gets built But the part that matters the most is: the backlog Over $46 billion in signed long term contracts. Microsoft at $17.4 billion, expandable to $19.4 billion. Meta at up to $27 billion. And this morning, a fresh $1 billion compute deal with Reflection AI The stock repriced down 35%, yet the contracted revenue repriced 0% (if anything it grew) Getting back to $300 only requires the multiple the market was happily paying 3 weeks ago, applied to numbers that are bigger today. This should be a no brainer as long as you think AI capex continues or grows (which I do) The analysts at Milk Road PRO bought $NBIS at $130 earlier this year and have continued to add to their positions. You can track our real time analysis and portfolios for just $1 in Milk Road PRO Don't miss out!

Testing to see how deeply I have fallen back into Twitter Jail… Can you see this? 🙏🏼

@Kelly6870540814 @DeFi_Dad @milkroaddaily 💯

@DeFi_Dad @BitcoinJesusETH @milkroaddaily I like that, waiting for the market to come to me. No one really dives deep into tokenization infrastructure. Build the foundation now and the market will come to you. Just a little patience.

We're now clearly in the midst of the largest institutional bull run in digital asset history. And at the same time, retail sentiment feels abysmal 😱 @BitcoinJesusETH from @MilkRoadDaily talks about this as a bullish divergence but also worrisome because you don't want everyday investors to miss out on the moment. TLDR: TradFi and institutions get DeFi (especially Ethereum + ETH), and they're coming for it. As much value as they can create and/or capture. 🎧 Full transcript below + full episode: open.spotify.com/episode/3OAzw9… "I've been trying to highlight this point to our community at @milkroaddaily for a long time, which is that we are seeing the largest institutional bull run in the history of digital assets at the same time that retail investors are checking out and tuning out and their sentiment is abysmal. And that is a big bullish divergence, but it is also a troubling and worrisome gulf to me because I think that if people are not, you know, in the trenches, chasing memecoins on Solana or some bright shiny object and getting filthy rich, they have a tendency to look elsewhere for the next thing that's gonna pump this week as opposed to recognizing the huge amount of value and the fundamental adoption that's happening in this space and allocating patiently and allowing the market to come to them. And so that I think is something you know, I've just been concerned about, right? 'Cause I don't want retail to miss out on getting in on the ground floor of the next century of finance, because they were chasing something else or got distracted or tuned out or, you know, rage quit, right? So that's something that I think is going on. It's a situation where all of Wall Street, everybody is like they're hiring for this rapidly, they're reallocating resources, they're bringing in talent, they're they're moving in this in in what is in Wall Street speeds like breakneck speed rush towards adoption of all of these technologies and tokenization, stablecoins, all of it. But from the you know, the DeFi native side or the the crypto native side, it seems like it a glacier pace. But I assure you they are going at as fast a pace as they can and faster than they've moved on almost anything maybe in their history. The chairman of the SEC says he wants to tokenize everything in 2 years, and that's a really tight deadline for Wall Street to turn around such a major undertaking. So they're rapidly innovating, they're rapidly prototyping, they're looking for what makes the most sense. but they are coming as fast as they can, and I think that they are not going to leave once they get here. They're going to onboard trillions of dollars of capital in various ways, and it's gonna take time to roll all of this out, but it's not slowing down. The genie's not going back in the bottle, and that's the opportunity here. And you know another thing I'll say on this is that you're already seeing Ethereum leading on adoption across all of these things, across tokenization, across stablecoins, across all these things. The usage of Ethereum keeps making new highs, Ethereum keeps innovating and adapting and unlocking new forms of applications and activities and innovations that weren't possible before. We're gonna see things like high frequency DeFi and agentic commerce and all these things, right? Reputation systems and solutions for agents, for humans, for all these things. So yeah, the long winded answer, but yeah, the institutions get it, they've got it, and they're they're they're coming for it."

@Fedex_trader 🥛 🤝💯

ethereum:native $SBET $BMNR $GLXY

@blackgalbi 🔥🔥

WartimeEthereum is acclerating!

Not that anyone cares or is keeping score or anything or whatever but...

@m0xt_ This is WILD

FIGR is going to beat Q2 revenue estimates by 22%. And the EBITDA beat will be even bigger. Here is why: Revenue consensus is at $183M My estimate is $223M Figure pre-released Q2 marketplace volume: $4.26B Up 47% in a single quarter. That's $160M above the top end of their own guidance, and $300M above the midpoint Wall Street built its models on. Apply management's own guided net take rate (3.75%) to that volume, and you get $223M in revenue. At a 51% adjusted EBITDA margin, that's ~$114M in EBITDA vs. $92M consensus. A 22% revenue beat compounding into a 24% EBITDA beat. And here's the part most investors will read exactly backwards: The take rate is falling. The margins are rising. Take rate tells you what Figure earns per dollar of volume. It says nothing about what it costs to earn it. Contribution margin does. As Figure Connect (using external partners) grows from 56% to ~60% of volume, the take rate compresses. Maybe even below 3.75%. But Connect borrowers cost Figure almost nothing to acquire. The institutional partners do the marketing. So the mix shift looks like yield compression from the outside. From the inside, it's margin expansion in disguise. A business growing volume 47% QoQ. Not YoY, quarter over quarter. Running 50% EBITDA margins, guiding toward 60%. At $29.73, the stock trades at 7.4 times annualized revenue and 14.4 times annualized EBITDA on our Q2 estimates. Seven analysts cover it. The average price target is $52.86, 78% above where it trades today. The market is not pricing the earnings power this business is demonstrating right now. I've been adding FIGR to the Milk Road PRO portfolio ahead of the print. Full position and real-time moves inside ($1, link in bio).

@MilkRoadAI @m0xt_ literally or figuratively?

@m0xt_ is figure going to make me more figures???

@MelvinInvests I'm gonna sue u

@BitcoinJesusETH more important than ETH?

This is one of the most important charts for understanding where AI infrastructure costs are headed (Save this). Morgan Stanley just revised their cost per gigawatt estimates upward across every single rack architecture from Q2 to Q3 2026. For NVIDIA's most advanced systems, a Rubin Ultra cluster now costs $50 billion per gigawatt, up from $43 billion, a 16% jump in a single quarter. Two drivers are pushing costs higher. The first is memory and for Rubin specifically, HBM has gone from a low single digit percentage of rack bill of materials to approximately 25% roughly a tripling in share. HBM4 pricing on the Vera Rubin NVL72 rack has surged 435% compared to Blackwell, with memory alone costing over $2 million per $7.8 million rack. Rubin Ultra pushes this further, HBM4e swells to $1.53 million per rack on a $21 million total. The second is outside the rack infrastructure power, cooling, transformers, substations. Prices for next gen outside the rack costs at $16-19 million per megawatt, representing 41-49% of a GB300 cluster's total cost. Rubin Ultra Kyber pushes toward 600 kilowatts per rack and the electrical supply chain was simply not built for this. Now here are the stocks that benefit directly from this chart. Micron, SK Hynix Samsung are the only companies that can manufacture HBM4 and HBM4e at scale and with memory now tripling as a share of rack BOM, every new cluster deployment is a larger check written directly to them. On the power and cooling side, Vertiv, Eaton, and Schneider Electric are the primary beneficiaries of the outside the rack cost surge, liquid cooling systems, power distribution units and thermal management are now 41-49% of total cluster cost and growing faster than the compute itself. Broadcom and Marvell capture the networking layer, which remains 19-23% of total rack cost across most architectures. And NVIDIA itself sits at the center of all of it, Rubin Ultra at $50 billion per GW means every hyperscaler committing to a new cluster is committing to figures that would have seemed impossible two years ago. The AI infrastructure is getting dramatically more expensive to build at exactly the moment hyperscalers are racing to build more of it. Memory inflation and power bottlenecks cannot be solved by writing a bigger check, they require new HBM fab capacity and substation builds measured in years, not months. Make sure to follow me @MelvinInvests for more investment ideas.

@MelvinInvests @MilkRoadAI My pleasure

@MilkRoadAI thank ya

@MelvinInvests Nice to meet you

I’m an analyst at Milk Road, and my job is to find underrated gems before the market catches on. We called names like MU, CRDO, NBIS, and BE over the last 3 months. Join me and my team for just $1. #1" target="_blank" rel="nofollow noopener">milkroad.com/pro/?utm_mediu…

@cryiepto @eth_systems @ethlabs_org @ethereuminsti 🔥🙏

@BitcoinJesusETH @eth_systems @ethlabs_org @ethereuminsti WARTIME ETHEREUM IT IS! John, i will remember your clarity and strenght when others gave up.

Yesterday I was talking about more big announcements coming for Ethereum soon. Today, @eth_systems was launched, joining @ethlabs_org and @ethereuminsti in helping to make Ethereum great again. Ethereum is mounting a major market offensive, maybe the biggest one in its history. I call this WARTIME ETHEREUM. The ticker is ethereum:native

@KyleReidhead They just sued OpenAI so they're getting aggressive for sure

Everyone thinks Apple is losing the AI race because it skipped the AI capex But I think they are positioned perfectly to dominate AI (Save this) In fact, Apple is the best performer of the Mag 7 YTD, so the market is starting to figure it out I bought $AAPL earlier this year for the AI-demand device upgrade cycle, but I'm realizing they are positioned to dominate in something much bigger: Consumer Agents Apple just shipped App Intents, the framework that lets Siri take real actions inside any app, book something, buy something, complete a task, not just answer a question. My bet is that consumers will want to just talk to their agents without actually touching their phone "hey Siri" rather than picking up their phone, opening it, clicking on chatGPT app and then talking/typing Apple has a moat on devices with iPhone, Macbook and iPods. This is where consumer agents will be used. And because Apple doesn't have their own AI, they can become an aggregator of AI's, similar to Openrouter. Routing to the cheapest/most efficient models depending on the task plus, it can live locally on the device for privacy and speed. So Apple has spent no money on AI, yet is sitting in the perfect position to be the winner of how consumers use AI agents on daily basis. If Apple owns that layer, it gives them yet another (and likely one of their biggest) revenue streams. they become a platform that taxes the entire agentic economy, monetizing through tiered subscriptions and/or taking a cut of every transaction an agent completes inside the apps. And not only that, if the Agentic economy takes off through Apple, it will force the largest device refresh in Apple's history. Morgan Stanley says roughly 850 million iPhones can't run Apple Intelligence, and 1.3 billion can't run the new agentic Siri, out of about 1.4 billion active iPhones worldwide. Now of course, Siri is still dumb, so they have not achieved this yet. But the potential and roadmap is there. This is why I bought $APPL months ago and shared this with the members inside Milk Road PRO. I just shared a detailed update on my position inside the platform too. You can track my real-time portfolio and get all my live updates for just $1 (see link in bio)