DimezCapital🪙

@DrJesseMorse Jesse, where’s the safest place to buy peptides?

“Why doesn’t America just make peptides here?” Answer and probably not the one you want to hear ⬇️

@DailyPeptide Where do you source your peptides, and know whether they are actually potent/clean?

13 weeks on Reta. 20lbs down. Best shape of my life. Thinking sharper. Hunger controlled. Dose? 0.5–1.25mg. So why are people running 8–12mg? I’m not calling it abuse. I’m asking — what are you actually gaining? And more importantly, what happens when you come off? Microdose + lifestyle > megadose + nothing else. What’s your dose and why?

ต้องโกนหนวดหน่อยละ

Oh yes. And not just saying, doing. The results are here, and real. > Backed by months of research >A full scientific paper >Currently in peer-review Private beta of version 1 is about to open up before catching wildfire publicly.

OPENAI MAY STILL LEAD THE BENCHMARKS, BUT SOME TEAMS ARE ALREADY SAYING THEY BUILT SOMETHING FASTER, CHEAPER, AND SMARTER FOR REAL WORLD REASONING. x.com/iamfakeguru/st…

We've been pretty quiet about what we're building. That changes now. Our reasoning framework is currently beating every @OpenAI model on industry standard benchmarks. There are six models in development. SERV-nano just matched GPT-5.4 at 20x lower cost and 3x the speed. The research paper backing it is in peer review at a top-1% AI journal. The UAE government is running it in production, so are 10+ enterprises. Nothing comes even close. This goes far beyond any wrapper or prompt engineering gimmick, we've developed an entire AI reasoning layer from scratch: structured, bounded, deterministic using machine readable code instead of vague english prompts. Any builder or enterprise swaps two lines of code and their agents get much cheaper and much smarter instantly. The self-serve API is about to open, in a multi-phase rollout. More soon.

We put SERV Nano next to GPT-5.4 SERV Nano is: • ~20x cheaper • ~3x faster The numbers do not lie. Make of that what you will.

@ZeroHedge_ @ZeroHedge_ we got 526👀

🚨 If I get 500 likes I will open up an incentivized enrollment with a SALE on the Alpha Vault Indicators. But has to be 500 likes to show me there is enough interest. Otherwise we will push the sale out to November possibly.

It’s time to long Bitcoin. It’s obvious the market has shifted today. I’m so glad the bear market is over. I admit defeat

@TraderMorin Well deserved beast. Happy and proud of you

10,000 followers 🎉 I remember clearly back in 2023 when I made the decision to commit to trading fulltime while having no prior experience in markets, it was give it everything or don't even bother trying. Trading was back then and still is to this day the most difficult thing I've ever done. Having the ability to wake up every day and find different ways to improve while simultaneously being able to share my journey with you all on X has truly been a blessing. I couldn't be more grateful for the people I have met on this platform including those who had a huge impact on my trading journey. I wish you all the best, Thank you. P.S Very big announcement coming soon 🤫

@EdGallrein Ed Gallrein is Israel First.

For anyone that actually wants to learn to trade, @TraderMorin is a great resource and deserves your follow. Same thing with @ParadiseXBT_. Both of these guys are phenomenal teachers and methodical in their approaches. Keep up the great content.

Market Context This is the most important foundation of my trading: @Trader_XO was the first person to bring this to my attention and to this day his teachings still have a tremendous impact on my trading / process. Market context should be one of the foundations of your trading. It helps you identify which trades you should be focusing on, from a more directional point of view. Patterns don’t mean shit unless you are trading them in the right context, this goes for double tops / bottoms and even compression setups. The daily / weekly 12/25 EMAs (TraderXO Macro Trend Scanner) is one of the simplest yet most efficient way to ensure your always on the right side of the trade. In an uptrend, the daily bands will be green and price comfortably above. In a downtrend, the daily bands will be red, and they will act as resistance when price trades into them from the underside. In rotational (Range) environments you will see the daily bands more frequently cross both bullish & bearish. My favourite tip for identifying a rangebound environment after an uptrend, is when we have the first bearish cross on the bands. Vis versa, in a downtrend you can wait for the first bullish cross to anticipate a rotational environment. I urge you all to implement market context into your trading process and have clear rules defining how you identify each environment.

Unlocking the Machine Economy Today we begin the roll out of a major upgrade to OpenServ — focused on helping founders build, launch, and run autonomous startups. What’s new • A skill package that lets agents create multi-agent workflows, publish via ERC-8004, and earn fees via x402 • An upgraded SDK that enables agents to create and coordinate other agents • The Ideaboard, where ideas and jobs are posted, discovered, and executed by agents • The Launchpad, now enabling agents to launch tokens and route fees to founders and systems What this enables • Work originates inside the system • Agents coordinate execution autonomously • Fees flow to agents and founders • Earnings fund ongoing operation and growth Why it matters • Founders can spin up autonomous, revenue-generating systems • Agents move from tools to economic workers • Startups can be built, launched, and run with minimal human overhead This is one step on our roadmap toward a machine-to-machine economy. More to come. Links Skills package: github.com/openserv-labs/… SDK: github.com/openserv-labs/… Ideaboard: launch.openserv.ai/ideaboard Launchpad: launch.openserv.ai

SERV Reasoning Framework, AI Economics & the Future of Founders x.com/i/broadcasts/1…

The first launch on @openservai wasn’t just a launch. It was a statement. What OpenServ introduced with Build. Run. Launch. is something this space has been missing for a long time: not just shipping tokens, but shipping systems. Most platforms help you launch. OpenServ helps you build, launch, and operate, autonomously, from day one. And the results speak for themselves. A Textbook First Launch The first project (check out $BETTER) launched through OpenServ delivered one of the cleanest first-day charts you’ll see in this market: - Bonding curve completed in under 2 minutes - Over $1M volume in the first 24 hours - Anti-sniper mechanics fully active at scale - No chaotic early dumps - No wallets extracting outsized value - A genuinely organic chart This wasn’t luck. This was design. Because demand hit while the sniper tax was still at 99%, the system did exactly what it was meant to do: - 290M of 400M circulating supply burned instantly - ~70% of supply removed at launch - Clean, fair distribution - Strong market cap–to–liquidity ratio from day one Instead of rewarding aggressive sniping, the system punished it. Snipers didn’t extract value, they self-immolated. And long-term holders were the ones who benefited. That’s not hype. That’s a mechanism working as intended. Not Just a Launch, A Flywheel What makes this even more exciting is what happened after the launch. Because OpenServ receives 33% of trading fees, and 25% of that goes directly to buyback & burn, the platform triggered its first autonomous flywheel: - 205,644 $SERV tokens bought back and burned - Direct value flowing back to the ecosystem - Immediate supply reduction Now pause for a second. That’s with one project. If OpenServ ends up launching dozens, or hundreds, of projects, the implication becomes obvious: this isn’t a one-off event, it’s a continuous burn engine powered by real usage. Daily launches → daily volume → daily buybacks → daily burns. That’s how sustainable token economics are built. A New Standard for Launches What impressed me most is that everyone had a fair shot: - Good entries at reasonable prices - No whale-dominated supply - No brutal early dumps - A chart that actually reflects organic demand This is what a healthy launch should look like, and it sets a benchmark other teams will struggle to match. Yes, OpenServ has already said they’re refining things further: - More value skewed toward $SERV holders - Even fairer mechanics going forward - Additional community rewards for early believers But even in its first iteration, this launch proved the concept works. The Bigger Picture This was step one. With upcoming launches already lined up, Solana support coming, AI Teams rolling out, and a custom $SERV AI reasoning model being deployed at government scale, OpenServ isn’t thinking small. They’re building infrastructure meant to operate on the biggest stage. And if this first launch is any indication, they’re on exactly the right path. I genuinely can’t wait for the next one. 🚀

We're bringing autonomous startups to @solana. Founders building on SERV will soon have the option to launch on Solana and Base — from day one. More details on Solana support coming soon.

Our AI Reasoning paper (authored by our CTO @dashersw alongside NVIDIA researcher & Professor Dr. Eyup Cinar) has cleared technical checks and is officially in peer review at the Artificial Intelligence Review. This is the backbone of our upcoming custom SERV AI reasoning LLM.

Our $SERV bags keep delivering and this article explains WHY. The reason I liked to work with them in the first place was that they were shipping when the market was slow. It was true a few months ago - and it's true now. That's why I call it QUALITY