📈 投资洞察日报

Been doing some research on MercadoLibre (MELI) using quality scorecard on Intrinsiqq.com and one combination of numbers really got my attention. Current P/FCF is 7.1x. Free cash flow has gone from $2.49B in 2022 to $11.82B TTM, compounding at 47.7%. Now look at the consensus EPS growth estimates: \- 2027: 43% \- 2028: 42% \- 2029: 51% If FCF keeps growing anywhere close to that trajectory, you're looking at a P/FCF that becomes almost comically low in 2-3 years at today's price. We're potentially talking 2-3x FCF on a business that dominates e-commerce and fintech across Latin America. That's the kind of number you see in distressed companies, not compounders with 31% revenue CAGR. The forward P/E tells the same story. Looks expensive at 43.5x today but drops to 27x by 2027 and 13x by 2029 on consensus estimates. The market is pricing this like growth slows down hard. The analysts covering it clearly disagree. The two pushbacks I hear most are margins and debt. On margins, yes they've come down from 14.6% to 9.6% since 2023. But this is largely being driven by MELI aggressively expanding their credit portfolio through Mercado Credito and building out fulfilment infrastructure across Brazil and Mexico. These are deliberate investments into the highest growth parts of their business, not structural deterioration. Amazon looked similar during its heavy infrastructure years and margins recovered sharply once the investment cycle matured. The debt is worth watching. Net debt is at $18.83B TTM and that's not nothing. But with $11.82B in FCF and growing, the coverage is there. At 7x FCF with those earnings estimates the risk/reward seems pretty skewed to the upside. Curious if anyone else has been looking at this. The FCF yield is too good to ignore for me. Am I missing something obvious here?

With Micron (MU) hitting $1T overnight and basically skipping the 800s entirely, it makes me think AMD could follow a similar path if AI demand keeps accelerating. And that brings me back to Meta. Meta sentiment is down right now because of massive AI capex and layoffs, but I think the market might be missing how this capex is structured. Meta’s 2026 capex is \~$125B–$145B, but a meaningful portion of that is tied into long-term AI infrastructure deals like AMD. The key part is the AMD structure: * Meta commits to large-scale chip purchases (multi-year, massive AI buildout) * In return, Meta receives up to \~160M AMD shares (\~10% stake) via performance-based warrants * Exercise cost is effectively $0.01 per share (\~$1.6M total) So if AMD reaches a $1T market cap, Meta’s stake alone is worth: 0.10 × 1,000,000,000,000 = 100,000,000 Now compare that to what Meta is spending: * Capex: \~$125B–$145B/year (market concern) * Potential AMD stake value: \~$100B (at $1T AMD) * Less exercise cost: \~$1.6M (basically negligible) So in theory, the “net” effect starts to look like: * Massive capex outflow * Partially offset by a \~$100B equity position in the same ecosystem being funded Which raises the question — is this really just “capex burn,” or is it closer to capex + embedded venture-style equity upside in suppliers? And here’s the thought I can’t shake: If AMD trades around $550–$600 later this year, and I were Zuck, I’d probably just structure another incremental deal (even something like $1B more in commitments). What happens to sentiment and AMD’s multiple if that keeps stacking? It almost feels like $600 AMD is becoming self-reinforcing if these deals keep compounding. Am I a fool for buying Meta?

Polsia just raised $30M at a $250M valuation. Approaching $10M annual run rate. One Founder + AI. Zero employees. Polsia runs companies autonomously. It also ran its own fundraising. I just showed up for signatures. https://t.co/6ryypKG0GY

Been digging into $UMAC, trying to understand why the analyst numbers seem so off compared to CEO Allan's statements and my own guesstimates. The consensus FY27 revenue is about $50M. A recent Litchfield Hills report targets $50M top line for FY '27. Needham has a FY26 estimate of $40M (raised from $25M after Q1) and a "clear path to a $100M run-rate by FY27", which implies Q4 27 at $25 M. Scale that back through the year for a FY target of about $55M to $65M Roth Capital and Jones Trading give a $25 and $20 PT respectively, but I can't find explicit top line projections. Working backwards I figure they're modeling about $50M in FY27. CEO Allan Evans, on the other hand, has been pretty consistent across multiple channels (AlphaWolf, the Q1 call, and the White Diamond piece). The targets he keeps repeating: - 1,000+ employees - 100-120K motors a month - 140K sqft of factory footprint - $250M top line FY27 from the Drone Dominance Program alone This is a $200M discrepancy on the top line between Allan's commentary and analyst targets. Sooooo.... what gives? Either Allan, or the analysts, are off by an order of magnitude. This is the kind of gap worth digging into. I want to zoom in on the headcount, both because it's something Allan has articulated as an indicator, and because it stood out to me in the CC+Shareholder letter. To give a quick timeline, as reported in the last 10K: - Mar 31, 2025: 18 employees - Dec 31, 2025: 81 employees, $4.9M revenue - Mar 6, 2026: 141 employees, $8.1M revenue Then on the Q1 shareholder letter and CC we were informed they're at 200 employees, and still hiring. So, +60 employees in roughly six weeks between the 10k and Q1. 10 employees per week. With about 85 weeks between May 14th the end of '27, 10/week would put us right at the 1000 employees Allan has targeted. Interesting. In Q1 they did $230k/employee annualized ($8.1M / 141 * 4), fueled by a jump in B2B revenue from basically 0 to $7.3 million. Don't forget this number includes new hires, trainees, those not yet truly productive. Compare this to Q4 where they did $240k/employee, annualized, at 81 employees. Headcount increased 75% while rev/employee basically stayed flat. This suggests to me that UMAC is effectively hiring into demand. What's more, the ratio between 'productive' and 'trainee' only improves from here. I expect we'll see a bit of improvement and then leveling out. Side note: they're investing in more factory automation equipment, which should eventually boost rev/employee. I don't think $300k/ is out of the question down the road. Not using that number though. Putting that all together, if we get to 1000 employees by end of '27 and pencil in $250k/employee, we get $250M top line. Right in line with what Allan has targeted. Interesting. So the pace of hiring is on track, and Allan's top line is a reasonable target if both hiring keeps pace and Allan can put 1000 people to work at a $250k annualized rate. Are there structural barriers to hiring? No, not at all. A recent Bizumentary highlighted how the job requirements can all be taught on site. The factory has a notable contingent of former food service workers. Labor pool is effectively infinite. The bigger question is do they have the facilities to support 1000 people? They currently have 62k sqft of space across 5 facilities in Orlando. Let's look at the timeline: - Jun 4 '25: 17K sqft motor center - Oct 30 '25: 25K sqft fulfillment center - Dec 10 '25: 9.1K sqft HQ - Dec 15 '25: 4.5K sqft headset production As of the Q1 CC, Allan intends to expand to 100k sqft by the end of Q2. More expansion is expected by Q4, which puts that 140k sqft '27 target clearly in view. So hiring isn't a constraint, nor are facilities. Equipment doesn't look like it's going to be a constraint, either. Note 6 on the most recent 10Q indicates there's 1.3M of equipment related to motor production to be delivered in Q2. This is against 2.5M of currently deployed equipment. I think we can expect that to continue to scale through the Qs. So we've got what's essentially a doubling of manufacturing related facilities, a 50% bump in equipment related capacity, and a steady pace of hiring to put it all to use. All in the next 3 months... let alone the next 12. What about raw materials? Considering this is a factory environment, we can use materials+margins to cross-check our headcount based projections, and measure both against Allan's statements. As of Q1, UMAC had $12M of raw materials and $13.5M of prepaid deposits. This is an expansion from the $4.2M of raw materials and $9.7M of prepaid deposits held in Q4. That's $12M of net inflow in Q1. Subsequent to Q1, UMAC placed an order for $75M of raw materials, to be delivered in Q3. Let's carry that forward. As of Q1, GM was 32.8%, but long term run rate is expected to be 40%. Of this, most, but not all, will be materials. The 10Q states COGS includes "inventory costs, which includes an allocation for labor and rent for our manufactured products, direct packaging costs, and production related depreciation, if any." in addition to "certain shipping and other direct product costs including tariffs". For Q1, COGS came out to $5.4M. Recall this was on a raw inventory of $4.2M as of Dec. Let's hand-wave and say that labor, packaging, shipping, and tariffs eat up 30% of COGS, and that materials are the remaining 70%. This will produce a conservative revenue number vs if we give raw materials a heavier weight. At 70% attribution, raw material contributed $3.8M, which means there's a materials-to-revenue ratio of 54%. That would project our already-placed materials PO of $75M into $139M of top line alone. This material should arrive That's *far* closer to Allan's $250M target than to the consensus $50M. Here's where it gets interesting: Allan has indicated that the $75M raw materials order is just the first of two waves. Per the April 6th AlphaWolf interview: "And you know, in a in a week or two, we're going to have to order another 60 to 80 million dollars worth of raw material. Okay, right? And then 6 months after that, we're going to have to order 100 to 150 million dollars of raw material." Then, on May 5th, 4 weeks later (a little delayed), the $75M order came through. The timeline places the next big order some time around December. So for FY '26, we've got $25M of current inventory and prepaids, and $75M of new orders. That's $100M of raw inventory bought and paid for. A cold hard fact. With our assumed margins that gives us $185M top line. Even if you totally ignore Allan's statements about another big order, that blows the consensus '26 and '27 numbers out of the water. What would the next $100M to $150M of raw materials add? Well, at 54% revenue contribution that'd be another $185M to $277M, putting combined '26 and '27 revenue at $370M to $460M. 👏 Against 👏 $50M 👏 full 👏 year 👏 '27 👏 top 👏 line 👏 estimates👏 (did I emoji right?) Reminder that Needham targeted $40M for FY '26, and a 'run rate $100M' end of '27. Litchfield projects $35.5M top line '26 and $50M '27. Neither of these are even in the ballpark of what we can project based on already placed materials orders. What's UMAC trading at today? $685M MCAP, with $220M of cash and $60M of short term investments gives us an EV of $400M. On our already-committed materials, and assumed $180M top line that creates, that's just beyond 2xNTM EV/Sales. That's cheap, especially considering the defense tailwinds and supply chain mandates, let alone the DJI ban and thus domestic commercial market vacuum. I call that optionality. So I'm left scratching my head, wondering what these analysts are thinking, but content to keep buying.

Just wondering what everyone’s thoughts on ADBE at this price of $240 are. The company is trading at historically low valuations (14 P/E and 10 forward P/E). I understand that the software sector as a whole has a lot of fears over competition and disruption due to AI. ADBE seems to be in a category (creative tools, productivity and marketing) where AI is predicted to be the most disruptive. I skimmed through the 10K report. The competition and risks section light up red flags everywhere. Yet, the conference call from the last earnings report and financial statements paint a much different picture than the current narrative on the company. Revenue grew 13% year over year, EPS grew 11%, gross margins are still very strong at 89%, they also raised guidance. They talk about all the ways that they are implementing AI into their products and how they are seeing 3X ARR increases directly tied to their AI- driven solutions). I know this company is very scary to invest in, and seems like it is headed for doom and gloom, with competition coming from every angle. Is anyone taking a stab at it at these levels? Or have you previously invested in it? Has your thesis changed? What is your outlook for the company in the next 3-5 years? Are there any other companies that you prefer to invest in the SaaS sector, that you feel are safer and just as undervalued as Adobe?

Kind of incredible. Reading through the Blue Owl earnings call, how different what they're saying is vs. how the market is behaving. https://t.co/IcktHM3qMb

I have been in meta for almost a year now. And well im literally down 5 percent right now. I don’t see this changing, during last earnings call Zuck had no answer what the result of this huge capex will be. Now im sure meta will do great long term but I am missing out on so many good companies out there which have better potential. As meta is my biggest holding it’s really holding my port down and I’m thinking of selling it to invest those funds into something else Thinking of putting those funds into Iren or GeV as their is currently a shortage of gas turbines and transformers and companies are paying premium to get a hold on them

Bucco’s guide to making $400k+: So, your dumb ass has been lucky enough to stumble into making a 1% salary. Congratulations, you’re at the doorstop of generational wealth (or early retirement). Here’s how to not fuck it up 1. Assume this isn’t permanent: The first thing you need to recognize is most people don’t keep their 1% salaries. There’s a lot of luck, and variable comp, that usually goes into that kind of paycheck. So have some humility and live like it ain’t permanent, because it usually ain’t. Which brings me to point #2 2. Live below your means: Most people who start making fat paychecks start racking up fat credit card bills. But if you follow my first rule you won’t do that. At least for the first 3 years you will live like you aren’t making a lot of money. You will save. A lot. This is a gift to future you 3. Take care of yourself: If you are making this much you are usually working very hard. So take care of yourself. Invest in your brain and your body and your health. It is a marathon, not a sprint, as they say. And one of the reasons people don’t maintain their high paychecks is because they burn out 4. Pay it forward: Fate has smiled on you. You are not only obligated to pay it forward, but it is the right thing to do. One day you may experience something bad, unlucky, and catastrophic. People will remember that you did not neglect others while it was your moment in the sun and they will come to your support. Be kind, especially when you don’t need to 5. Maintain perspective: You are not better than anyone because you make a lot of money. There are many ways to be rich. Be sure that you stay humble, and continue to invest in your friends, families, relationships and health. Or you might one day find yourself with a full bank account and an empty life Follow these rules and I assure you that the odds of living a prosperous life will tip heavily in your favor

Entravision $EVC math is pretty simple: Media assets don't earn much, but thanks to the spectrum & FCC dereg, there's a realistic path to $500m of value Meanwhile, Smadex, against the full $800m EV, is priced at a fraction of peers and growing faster. Value guys afraid to buy because "they missed it" and widow of the former CEO has been selling But there's zero street coverage and the growth guys barely know this exists (yet)

Levie’s Law of AI Psychosis: The farther away you are from the actual work the more confident you are that humans are no longer needed I like it

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why. First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it. Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands. Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition. I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively. THE 100X ORGANIZATION The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago. Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken. The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems. These roles will evolve. But waiting for that to happen naturally means falling behind now. The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working. THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS — THE BUILDERS: 10X ENGINEERS I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality. Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment. AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed. So who do you want orchestrating and reviewing code? And how do you want your best engineers to spend their time? If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code. The new world is about enabling your 10x engineers to become 100x. The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated. I call this the great reckoning of AI coding, and every company will face this soon if not already. More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well. — THE BUILDERS: 10X PRODUCT MANAGERS Product management and design roles are merging. Designers that have customer focus, become more like product managers. And product managers that have intuition for UX become more like designers. The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results. The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy. Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on. To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production. Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck. That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time. — THE SYSTEM MANAGERS Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp. The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world. You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is. — THE FRONT-LINERS In a world that will become saturated with AI communication, the human touch will matter more than anything to customers. This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings. One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers. REWARDING 100X IMPACT In a world where companies are able to do so much more with less, where does that excess money go? In our case, much of the savings in this new operating model will flow directly back to those that enabled it. We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them. You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace. Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems. THE FUTURE Nearly every company will make changes like these. The ones that do it proactively will define what comes next. The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago. ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI. So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents. “Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues. “Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with. The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.

As you watch Aaron Rai in the PGA Championship, you might notice he uses iron covers for his clubs and wears two gloves — two habits often viewed as golf faux pas. But both are actually inspiring. Rai grew up in a working-class family in England, where his father sacrificed heavily to support his golf career. When Aaron got an expensive set of irons as a kid, his dad would clean every groove with a pin and baby oil after practice because the clubs meant that much to them. The iron covers became a reminder to appreciate what you have. And the two gloves? Rai started wearing them as a kid during cold-weather golf in England and eventually became so comfortable with the feel that he never stopped. Not gimmicks. Just gratitude… and comfort.

Valve has raised Steam Deck prices in the US • 1TB OLED $649 -&gt; $949 • 512GB OLED $549 -&gt; $789 still out of stock https://t.co/k3U9h1geJ0 https://t.co/YU1MVmtR4C

Everyone is going insane. Employees are going insane. Executives are going insane. Investors are going insane. Politicians are going insane. Citizens are going insane Collective AI psychosis If you sit back and think about it for a even minute it’s completely surreal

Great commentary yet again from BTIG’s Jonathan Krinsky •Party Like It's 1999. In 1999, the best performing Nasdaq 100 stock was Qualcomm (QCOM, not rated), up 2600%. The best rolling 52-wk return for QCOM during the entire dot-com bubble was 2600%, so SNDK is beating that by 1300bps. Interestingly, the second-best stock in 1999 was SNDK up 581%. •More Extreme. If we look at the top 10 performing NDX stocks in 1999, they were up an average of 559%. The top 10 in the year leading up to 3/24/00 were up an average of 622%. The top 10 NDX names over the last year are up an average of 784%, beating both the dot-com periods..

.@CurtisSliwa cares more about being in the spotlight for two and a half weeks than he does about New York City. He makes that abundantly clear in this clip. You tell me who is being the jerk, his words. And he is wrong. I have been a New York State and City taxpayer and resident since 1988. Just in the last decade, I have paid $480 million of state and city taxes and donated $350 million to New York City institutions. I have done my part to help New York. New York City needs more billionaires not less . The City works because the millionaires and billionaires pay the taxes and make the donations that support the entire community and the institutions and services that make NYC great. @ZohranKMamdani says billionaires should not exist. Zohran says he is a ‘existential threat’ to me and other billionaires. That’s not a smart strategy for raising the revenues that keep the city solvent. And yes, he is also a jerk.

Compounders are largely more expensive these days, but when a stock trades at a 20% FCF yield and is buying back shares, it has the same per share compounding potential as a 20% ROIC company that reinvests all earnings. Some thoughts: https://t.co/5FbHO0elLm

Feeling robbed of my path to citizenship right now after grinding a PhD and contributing to foundational AI + computing technologies for the United States for the past ~ 10 years. Feels like robbing top and technologists like me of the opportunity to achieve the American Dream.

Today, Pershing Square Inc. (PSI), an alternative asset management company, filed to go public along with Pershing Square USA, Ltd. (PSUS) a new closed ended investment company managed by Pershing Square.    In the combined offering, investors in the IPO of PSUS will receive shares in PSI for no additional consideration. For example, if an investor buys 100 shares of PSUS in the IPO, they will receive 20 shares of PSI at no additional cost.    I explain the transaction in detail in a letter that can be found here:   https://t.co/ie1jgbFYH6 [https://t.co/8xfglANBvw]   The prospectus for PSI can be found here:   https://t.co/mRFvjkhPy2 [https://t.co/8xfglANBvw]   And the prospectus for PSUS can be found here:   https://t.co/ie1jgbFYH6 [https://t.co/8xfglANBvw] The PSI and PSUS Registration Statements have not yet become effective.  The securities described therein may not be sold, nor may offers to buy be accepted, prior to the time the Registration Statements become effective.  Before you invest in the combined offering, you should read the Registration Statements for more complete information about the PSI, PSUS, and the combined offering.

Naming your company AI slop backwards is crazy

Overheard at work today: "I am peering out into the future of work and it's just me in the dark managing a bunch of agents instead of working with my friends and I'll be honest...it makes me want to put a gun in my mouth" I laughed, but it's not that funny

1 of 3 things is true about big tech’s AI narrative: 1) Nobody can tell a compelling story about how AI will be good for society 2) It hasn’t occurred to them to tell that story 3) They believe it’ll be bad, but it’s not their job to fix it I don’t know which is more damning

That's +200% ytd on 2CRSi $AL2SI Now imagine: - still 7-8x forward ev/ebitda - ebitda growing &gt;100% pa - one of the few Euro AI infra plays Think about what them poor euro fund managers will do https://t.co/lWwDATLHvd

Something is wrong with $CHTR here: $20b market cap is too low or $25b FCF (including SBC) over the next 4 years is too high. I have zero trust in Charter management, they've consistently disappointed. https://t.co/VfEaF7lm9R

ive been building out my breadth algo for SPY, tracking breadth accross the entire index + 5m EMA to time entries/exits. I'm currently calculating the pnl manually for now, but next step is to hook it up to an actual paper trading account to really get a feel for execution delays that I'm currently not accounting for. Here are the results: *   trades closed:     19 *   realized P&L:      -7.65 *   unrealized P&L:    +0.00 *   starting cash:     10000.00 *   ending equity:     9992.35 *   return:            -0.08% *   win rate:          31.6% (6W / 13L) *   avg win:           +1.50 *   avg loss:          -1.28 Ran it for about 4 hours, strategy could use some refinement, but the biggest risk imo is accounting for how real-life execution would affect these numbers. Gong to add in some random impact hits on entries/exits tonight + trade commission. Beyond that is there any other thing i should look out for?

Started this account in RH at the end of April. $2k went in and I wanted to try and 10x in 30 days with only 2 trades a day max. Accomplished it today. For reference I trade divergences and purely key levels, but have been trading for almost 10 years, so I have extensive experience in the psychological department which is where I struggled the most, and still do at times but I strive to get better every single day. Wanted to prove to not only myself but also everyone else, this is possible. And no, this isn’t just buying calls when the market opens every day, I’ve been taking my time and trying to time entries as good as humanly possible. Also, just FYI.. I haven’t traded Robinhood since 2021… pleasantly surprised at how the platform has changed. Hope you guys have been having a great month, let’s keep it rolling.

Japan stock market = ath Taiwan stock market = ath Korea stock market = ath China’s Hang Seng stock market = multi month low 🤷🏼‍♂️

Officially re-engaging with Twitter after a 5+ month hiatus. My current market thoughts: 1) Equity market likely continues to be choppy and sideways and I think you fade the extremes. A new sustained bull market is unlikely because earnings

New Rule: Every S-1 should start its "Risk Factors"'section with a full-page image of a massive explosion. 🚀 $SPCX #IPO #SECFILING https://t.co/KcOsqtdc7e

https://www.cnbc.com/2026/05/26/micron-stock-trillion-market-cap.html Micron topped a $1 trillion market value for the first time on Tuesday as shares popped 18%, driven by insatiable artificial intelligence demand for its memory chips. The stock surge came as UBS tripled its price target on the stock from $535 to $1,625 a share, citing long-term agreement opportunities with partially fixed pricing. “We believe the market will start to put a more ‘normal’ multiple on the stock and MU will continue to re-rate higher as more details emerge about the structural changes AI has driven to the entire memory complex,” the firm wrote. The new price target suggests shares could more than double from Friday’s close.

Ben Affleck quietly founded an AI filmmaking startup. Netflix just bought it. And Affleck will be joining Netflix as an adviser.

RT @KrisPatel99: 1. The FWA threat is starting to crack, but not for the reason most people think. Everyone assumed FWA would eat cable forever. Verizon's net adds already dropped from 1.5M in 2024 to 1.1M in 2025, and New Street expects the whole category to taper in 2026. The interesting part isn't that they ran out of spectrum — actually the opposite, the Big 3 expanded their FWA capacity to ~32M subs through M&A (EchoStar, USCellular, Starry). The real story is the product is showing its limits as it scales. FWA speeds are dropping — T-Mobile median downloads fell from 221 to 209 Mbps, Verizon from 167 to 138 Mbps. Upload speeds are stuck under 20 Mbps across all three carriers. They were grabbing the low-hanging customers and now they're hitting demand saturation and quality degradation at the same time. 2. Cable's tech response is real. DOCSIS 4.0 upgrades let coax deliver symmetrical upload/download speeds, which kills fiber's main selling point. Previous-gen cable had great downloads but weak uploads, now they're competitive with fiber. 3. The capex rolloff thesis got pushed out. Idea was that as buildouts finished, capex drops and that money goes to buybacks and debt paydown. Still directionally right, but Q1 2026 capex was actually up 19% YoY and FCF dropped $ 200M. So the rollover is delayed 6–12 months. Cox will also reset the baseline post-close. 4. Mobile / convergence is the bright spot as this part is actually working. Spectrum Mobile added 368K lines in Q1, growing 17% YoY to over 12M lines. Residential mobile revenue up 15%. Most usage runs on Charter's own WiFi so MNO offload costs stay low, and as the base scales the incremental margins keep getting better. 5. Cox deal is at a very favorable price. The $34.5B deal creates the largest ISP in the country with 38M subs. CHTR is paying with 33M shares and $6B in preferred, priced off levels well above where we are today, so current shareholders are effectively buying Cox at a discount. CFO Jessica Fischer raised synergy guidance from $500M to $ 800M. 5. The buyback mechanism is the hidden lever nobody talks about. Charter has these agreements with Advance/Newhouse and now Cox post-close that force pro-rata buybacks to maintain their ownership stakes. What this means practically: every dollar of buyback retires more public float than a normal company. So if CHTR spends $4–5B/year on buybacks, public share count can drop 20–30% over three years. Combined with the equity-stub dynamic from all the leverage, the per-share math gets really interesting really fast. 6. Xumo partnership with Comcast combines broadband and streaming into one bundle. Helps with monetization and personalized ad upsells. This blunts loss of video subs. 7. Lower oil → lower inflation expectations → lower rates → multiple expansion plus easier debt service comps. Applies to all levered names but CHTR has more sensitivity than most because of the leverage. At 5x EV/EBITDA vs historical 8–10x, even modest re-rating produces big equity moves. 8. Video losses are actually moderating big-time. Q1 video losses were 51K vs 167K a year ago and 392K two years ago. And mobile is offsetting on the customer relationship side. 9. CHTR is basically an equity stub right now at $94B of debt against $17B of equity. That means the equity is incredibly sensitive to EV moves. A 1-turn multiple re-rating (5x → 6x) on $22.5B of EBITDA = ~$22B of EV, which is roughly a 100%+ move in the equity. 10. California / Cox is in its final stages and could prove to be a major uncertainty headwind unlock.

Nate Friedman: “Are you okay with losing and knowing you contributed to Mamdani's victory?” Sliwa should do the right thing and put New Yorkers above politics. https://t.co/3lWPqp0eyP

Chinese capital is leaving China for America at a record pace.In 2025, around $1 trillion left China, one of the biggest capital outflows in recent years. Compared to 2021, the amount of money leaving the country has more than doubled. Chinese investors have been moving money into overseas assets, including the U.S. stock market, pulling liquidity out of mainland China. In response, Beijing started tightening the rules: ❗️Fined major brokers around $330 million. ❗️Ordered illegal accounts to be closed within 2 years. ❗️Added restrictions on cross-border stock trading. While Beijing is trying to control capital flows, private Chinese money is still looking for a way out of the country. If China tightens the money flow even more, it could slow down capital moving into overseas markets. https://www.straitstimes.com/business/companies-markets/china-investors-rush-for-exit-after-crackdown-on-illicit-cross-border-stock-trading

I saw a popular commentator label software "univestable" recently and it reminded me of coal and oil in 2020. 6 years ago on this same weekend in March, oil futures were plummeting on Sunday night and markets were crashing with Covid coming into full swing, triggering the first "circuit breaker" in the stock market since 1997. Back then, software was the hottest industry and oil stocks were labeled uninvestable (by institutions citing ESG, but the real reason is they kept losing people money year after year). Now many of these oil producers have cleaned up balance sheets, solid FCF (even at much lower prices) and much better capital allocation. Amazing how much fundamentals and narratives can change in relatively short periods of time.

Yes it is true. @_dpgibson runs a few billion dollars. And he is one of the largest shareholders in $PCT. Yes it is true, I had no idea how the technology behind $PCT worked when I spoke to him. But I spoke to him. And doubled my short. I have a simple thesis: Dan is an idiot.

.@danshipper: "I would buy SaaS stocks right now. SaaS stocks will be up majorly in the next couple of years." https://t.co/Ls3ICfgekK

The great thing about @benthompson is that he’s never afraid to tell it like it is amid all the banker and insider propaganda. “In all seriousness, the numbers are obviously absurd, but then again, everything about this IPO is absurd. SpaceX is seeking a $2 trillion valuation on a mere $18.67 billion in revenue with $4.9 billion in losses last year, and growth actually slowed from 35% to 33%. That slowdown happened despite the addition of xAI (and thus also X), which tipped the company from a small profit to that massive loss, thanks to $5.1 billion in AI R&D expense. That R&D, keep in mind, went towards building a model that is in 5th place, and whose entire founding team recently left the company. But sure, $26.5 trillion AI opportunity!”

Micron turning into a trillion-dollar AI winner still feels crazy. A year ago most people were focused on GPUs, hyperscalers and software. Now memory is suddenly the bottleneck everyone cares about. HBM demand is tight, pricing power is back, and the whole thesis looks stronger than it did when the stock was much cheaper. I was in $MU earlier, took profits, and completely underestimated how big the AI memory trade could get. Classic mistake: I saw the thesis, but not the full rerate. Now I’m trying to figure out where the next “obvious in hindsight” move might be. Is it still memory? Is it storage? Is it networking? Is it power? Is it cooling? Is it data center infrastructure? Names I’m looking at: $WDC, $STX, $AVGO, $MRVL, $ALAB, $CRWV, $NBIS. Anyone else sell $MU too early? And what do you think is the next AI bottleneck trade?

You have to be really careful with this line of thinking The assumption underlying this thesis that incumbent, public, SaaS 2.0 companies will be the winners But paradigm shifts show this is not always the case. In fact it rarely is I have been inside these companies. They are slow, bloated, have business models that largely preclude them from fully adopting AI, employees who don’t want to work that hard, and a host of other structural issues Their competitors are AI-native from the ground up with all that entails SaaS may not be dead, but I would think long and hard about why the incumbents have a right to win Go talk to people about the SaaS people are using and buying. Go talk to them about the AI features their current software is rolling out. The answer might change your mind

Today, $FISV said they will generate $13.5 in free cash flow during 2027-29, and it will all go to share repurchases. That is 47% of the current market cap.

This is a Type 1 breakout. Once the stock completes the pattern it doesn't look back. These type of strong momentum moves usually extend beyond price objective. https://t.co/7rvCJqFYZL

Chart study $CL_F This is a rising wedge. The gap down completed this pattern. On its own merits this is a bearish chart, although Crude Oil will be driven near-term by the man with the orange hair Watch for weird volume spikes as an indication of the Trump Cheat Fund actions https://t.co/OfUn3rlUCr

This is my sixth conversation with @GavinSBaker. As always with Gavin, the conversation covers a lot of ground, but we spend the most time on watts and wafers. We discuss: - Why the wafer shortage may prevent an AI bubble - Data centers in space (reframed) - Elon's Terafab and the new chip companies challenging Nvidia - Usage-based pricing - The disaggregation of GPUs - DRAM, frontier tokens, and open source Enjoy! Timestamps: 0:00 Intro 7:55 Anthropic and OpenAI Valuations 12:58 Watts, Wafers, and Infrastructure 14:39 Orbital Compute and Data Centers in Space 22:49 Avoiding the AI Bubble 28:26 Terafab and the Future of US Manufacturing 32:16 Returns to the Frontier 37:23 Continual Learning 42:03 New Chip Companies 48:52 Extending GPU Lifespans and Private Credit 51:22 The Application Layer 57:32 The Token Path and Open-Source Dynamics 1:01:37 Cybersecurity 1:05:46 Diversity Breakdown 1:11:59 Assessing the Big Tech Players in AI 1:19:02 Geopolitics, Personal Safety, and the AI Horizon

I don't know why this is a story. Does Korean media not read the number one source of NVIDIA information? My Substack! https://t.co/ACo5k3e6FB

Shares of SK Hynix jumped as much as 11% on Wednesday, lifting the South Korean chipmaker's market capitalization above $1 trillion as investors continued to pile into artificial intelligence-linked semiconductor stocks. The rally extended a blistering run that has seen SK Hynix shares skyrocket about 250% since the start of the year, fueled by surging demand for high-bandwidth memory chips used in AI servers and accelerators. The company has emerged as a key supplier to AI chip giant Nvidia, cementing its position at the center of the global AI supply chain. The rally comes just weeks after domestic rival Samsung Electronics also crossed the $1 trillion market capitalization mark. Shares of Samsung Electronics added over 6% on Wednesday. The two chipmakers account for more than 40% of South Korea's benchmark Kospi, underscoring how closely the index's performance has become tied to global demand for AI-related semiconductors and memory chips. The Kospi index has nearly doubled since the start of the year, according to data from LSEG. Analysts have warned that the concentration could heighten market volatility and leave the benchmark more exposed to risks, including supply chain disruptions and a slowdown in global data center investment https://www.cnbc.com/2026/05/27/sk-hynix-shares-ai-chip-rally-1-trillion.html

$META calls up 50% in minutes lol Have a plan and execute! https://t.co/pg7ZN2RYxm

[Exclusive] NVIDIA's "Rubin CPX" Launch in Doubt… No Memory or Substrate Orders The launch of NVIDIA's inference GPU "Rubin CPX" has become uncertain. Although the company had initially announced plans to release it in the second half of this year, it has been confirmed that there are no moves to order or develop the associated memory and substrates. This has led to speculation that NVIDIA may have withdrawn or substantially revised its original plans. According to multiple industry sources on the 27th, NVIDIA is currently not placing orders for memory or substrates related to Rubin CPX. In particular, no activity has been confirmed around GDDR7 graphics DRAM, the memory it was reported to use. Nor have there been any related development requests. A memory industry source said, "NVIDIA stated that it would use GDDR7 in Rubin CPX, but at the moment there are no discussions about it whatsoever," adding, "There was also a possibility that HBM adoption was being considered, but with no progress made, the actual development direction is unclear." A substrate industry source said, "With no movement around Rubin CPX, the industry effectively regards the project as cancelled," adding, "We had expected GDDR7's range of applications to expand, but it's disappointing that the market never opened up." NVIDIA announced at the AI Infra Summit last September that it would release Rubin CPX in the second half of this year. It specifically stated that Rubin CPX would carry a total of 128GB of GDDR7 memory — a configuration of eight 16GB GDDR7 chips. Unlike high-bandwidth memory (HBM), which is mounted inside the GPU package, it was planned to use an onboard approach, with the memory placed around the GPU substrate. Because inference AI servers do not require the extreme memory bandwidth that training GPUs do, GDDR memory was adopted. HBM offers fast data processing but carries heavy cost and power burdens, and is also more difficult to package. GDDR, by comparison, has a relatively lower cost burden and is easier to scale in supply. The memory industry had expected that Rubin CPX would trigger a full-scale expansion in GDDR7 supply. Currently, GDDR7 is used mainly in a handful of high-performance graphics cards such as NVIDIA's GeForce RTX 5090 and 5080, leaving its applications limited. The substrate industry likewise anticipated benefiting from expanded supply of memory substrates for GDDR7. However, NVIDIA removed Rubin CPX from its roadmap at GTC 2026, held this past March — a change in direction roughly six months after it was unveiled with a second-half launch target. Some foreign media outlets asked about the reasons behind this, but NVIDIA offered no answer. Instead, the company put front and center the LPU (Language Processing Unit) from Groq, with which it signed a licensing agreement late last year. The "Groq 3 LPX" abruptly became the core inference product of the Vera Rubin platform. Last year, NVIDIA struck a deal worth $20 billion with Groq and absorbed its core inference technology and engineering talent. The industry views this as NVIDIA having effectively acquired Groq. Rubin CPX was a product NVIDIA had been preparing in response to the expanding inference market. Whereas NVIDIA's existing GPUs focused on large-scale data training, Rubin CPX was specialized for inference — the execution stage of AI services. It was a strategy aimed at a market shift in which inference computing is taking up a growing share amid the spread of AI agents. As NVIDIA strengthens its Groq-centered inference strategy, observers suggest that the very direction of Rubin CPX may have changed. Some also raise the possibility that NVIDIA could redesign Rubin CPX in a new form down the line. $NVDA

The irony is that the cautionary AI bubble crescendo is loudest now right at the beginning of three of the biggest technology super cycles ever that will last at least a few quarters into 2026: 1) The biggest data center buildout in history funded by the most profitable companies in history. It started in the September quarter 2025. 2) Nvidia NVL72 (72 GPUs) AI server product cycle volume ramp with its much better performance versus prior 8 GPU models. Think iPhone 3G moment. 3) The advent of AI reasoning models enabling vast use case proliferation and productivity improvements while driving exponential token consumption. Most people who write about this stuff are not technical and don't understand this is happening.

I haven't seen anyone talking about this here yet, but the Department of Labor has a proposed rule out right now (Docket EBSA-2026-0166-0001) that basically gives 401k plan managers a legal "safe harbor" shield if they choose to dump private equity or private credit into target date funds and default plan lineups[Fiduciary Duties In Selecting Designated Investment Alternatives - Regulations.gov](https://www.regulations.gov/document/EBSA-2026-0166-0001). The way it’s written, if an employer ticks off a basic procedural checklist when choosing these alternative funds, they get a "presumption of prudence."[Legal Alert: Department of Labor Advances Proposed Rule Expanding 401(k) Access to Private Capital - Shulman Rogers](https://www.shulmanrogers.com/legal-alert-department-of-labor-advances-proposed-rule-expanding-401k-access-to-private-capital/)That means when the underlying assets inevitably underperform or the multi-layered fee drag eats up your returns, it is going to be almost impossible for everyday employees to sue them for a breach of fiduciary duty[DOL 401(k) Fiduciary Rule Enables Accounting Fraud | The CommonSense 401k Project](https://commonsense401kproject.com/2026/04/03/dol-401k-fiduciary-rule-enables-accounting-fraud/). This is a massive conflict with the whole Boglehead philosophy. We are talking about replacing low-cost, liquid, daily-valued index funds with completely opaque, illiquid assets that have predatory fee structures [DOL 401(k) Fiduciary Rule Enables Accounting Fraud | The CommonSense 401k Project](https://commonsense401kproject.com/2026/04/03/dol-401k-fiduciary-rule-enables-accounting-fraud/). The real danger is they want to bake this directly into Target Date Funds[DOL 401(k) Fiduciary Rule Enables Accounting Fraud | The CommonSense 401k Project](https://commonsense401kproject.com/2026/04/03/dol-401k-fiduciary-rule-enables-accounting-fraud/). Anyone who just "sets and forgets" their retirement account is going to get auto-allocated into a private equity sleeve without even realizing it, just so Wall Street firms can find a new batch of retail bag holders to dump their illiquid assets on[With the private equity 401k EO have an impact on us? : r/Bogleheads - Reddit](https://www.reddit.com/r/Bogleheads/comments/1mbkxv4/with_the_private_equity_401k_eo_have_an_impact_on/). The public comment window shuts in just a few days on June 1st. If you want to submit a formal comment to the DOL telling them that high fees and opaque active management do not belong in retail retirement accounts, you can submit your data directly on the Federal Register site: [https://www.regulations.gov/document/EBSA-2026-0166-0001](https://www.regulations.gov/document/EBSA-2026-0166-0001)

Outlook on U.S. yields from technical chart perspective The $US30 has resistance at 5.2%. Resistance could hold for 2026. Above 5.35% indicates trend for rates toward 8%. Relative to U.S. debt, higher rates hurt. Relative to history, rates are low. https://t.co/Bq1PhjnRHa

This chart is the current apple of my eye Ask AI what the market is First to get it right gets a nod https://t.co/qQF8RH0PQD

The TRILLION-Dollar Club is turning into a chip club. Of the 15 companies worldwide worth more than $1 trillion, six now come from the semiconductor industry: Nvidia, Broadcom, TSMC, Samsung, SK Hynix and Micron. The new superpower is silicon. https://t.co/9Zl0ELSi6f

Well there it is… $ZD selling connectivity segment to Accenture for $1.2bn (10x EBITDA). Thats greater than the entire ZD enterprise value as of yesterday. https://t.co/SaZRxpCp7X

I'm repeating it. You will not miss a text-book setup like this if your routine is weekly and daily review of 1000+ charts without any bias. Cover the ticker, focus on your sweet spot pattern. As I always say, select 1-3 patterns of your choice and look for those. Do not spend more than few seconds on a price chart. A patter that you know, will pop up in the first few seconds. We have captured this directional move on the daily scale price chart.

Hey readers Never believe the profit claims shown on screen shots. Never! If someone makes an outrageous claim of profits ask them for a copy of their IRS tax statements Otherwise assume that some serious bull is being slung around

What a chart. https://t.co/eRvjKGkcjD

I wrote two of these books and contributed to three others. Most were sent to me by publishers who wanted my endorsement for the jackets. Three of these books are hard stamped into my trading DNA. Guess which three? The rest of them I have never had an interest in reading. https://t.co/xnNLzcbMua

Been reading this Reuters piece about the market hitting fresh highs again because of AI optimism and I cant tell if we're watching the early stages of something genuinely massive or just another cycle where investors slap a hot label onto everything and run with it. [https://www.reuters.com/world/us/sp-500-hits-record-closing-high-ai-optimism-2026/](https://www.reuters.com/world/us/sp-500-hits-record-closing-high-ai-optimism-2026/) What gets me is how disconnected some of this feels from actual day to day adoption. Like yes, AI is useful. I use it. A lot of people do. But when trillions in valuation are moving this aggressively, I keep asking myself what exactly the average business or normal person is doing differently *right now* because of AI besides using ChatGPT, some coding copilots, maybe image generation. Maybe thats enough. Maybe we're still super early and the market is pricing in where things are headed, not where they are. But I remember crypto sounding inevitable too. Metaverse too. Every cycle has its thing that becomes untouchable until suddenly it isnt. Not saying AI isnt real because clearly it is. Just saying the speed of the market reaction feels insane. Curious if other people feel the same or if I'm just getting old and skeptical.

Hey all, First time posting, I have done quite well over the last year jumping on GOOG, AMD, ARM and NVIDIA, and I have pivoted more into MU, DRAM and SNDK. I have seen lots of space stocks blow up which I partly think is due to the upcoming SPACEX IPO. However, I really don't understand why companies like ASTS, RKLB, and LUNR have been blowing up so much -they aren't hugely profitable companies. They don't have insane revenues like AMD or MU to back up their share prices. Can someone explain to me please why they are so popular, other than hype? Also, are we close to their peak, or is there still lots of room to grow on these stocks. I am fully expecting SPACEX IPO to drastically drop after about a month as I cannot see the justification behind these crazy valuations. Thanks for your help! Sincerely, a guy who just wants to understand and who is thinking offloading his laggards (MSFT and META). Update: Wow this post has really blown up, I am super tankful for all the replies and interesting takes, I'm definately considering investing in ASTS when/if there is a decent pullback.

I interviewed @bubbleboi about his ratings of AI supply chain bottlenecks. We talked about DRAM, advanced packaging, CPO, HBF, PCBs, power delivery, etc. 0:00 HBM, DRAM, the cartel 7:24 Silicon photonics, CPO, Lumentum lasers 11:35 Advanced packaging: TSMC vs Intel 13:49 HBF: Sandisk/SK monopoly window 17:02 Memory accelerators + TurboQuant 22:35 PCBs + Unitika 27:27 Power: transition from 48V to 800V 31:32 Outsourced assembly + test, fiber coupling 36:23 HBM vs DRAM vs NAND in 2-3 years 42:03 Where will hardware founders come from? 44:10 Alt accelerators: Etched, Taalas, MatX 48:43 Emerging tech: CPO bearishness 49:23 Hyperclouds 49:53 HBF timeline + CXL 51:48 Voltage + cooling wall 56:30 Rapid fire: Intel, Nvidia, TSMC, Alphabet 1:05:25 ASML, Hynix, Lumentum, Wolfspeed 1:13:25 Building conviction in Intel 1:19:37 Pitching Intel to funds 1:22:39 X accounts, analysts + why care about any of this

Note to Factor Report Members who are not on the private members' stream Update on a trade we have been involved with. $ARM has met its objective and profits have been taken We are monitoring this exact same pattern set up in a certain grain market right now https://t.co/uJ4rykPKiN

You may not want to hear more about the viral McDonald's video, but there is more to say. That’s because it is such a perfect embodiment of the new media versus traditional PR and such a good Harvard case study of the opportunities and risks of posting online for CEOs and companies. There are THREE big takeaways: -TIMELINES DON’T CONTROL NARRATIVES -FRAMING IS EVERYTHING -RAPID RESPONSE WINS To recap: McDonald’s CEO Chris Kempczinski posted the original video in which he famously took what looked like an unenthusiastic nibble out of the burger chain’s new Big Arch sandwich on Feb. 3. It was probably done on that date because it was exactly one month before McDonald’s planned on the actual unveiling of the new burger and companies love that kind of conventional timeline. That video sat quietly unremarked upon for THREE WEEKS! Seriously! It sat there until it was FRAMED by people on social media, including comedian Garron Noone who declared "this man does not eat McDonald's!” That brush fire started raging when @Raindropsmedia1 posted on X:  “McDonald’s CEO Chris Kempczinski goes viral after seeming reluctant to eat his own burgers—he takes a tiny bite, looks uncomfortable, and calls the food ‘product.’ “ That X post has accrued 16 million impressions. I’m assuming McDonalds felt blindsided and besieged. But as they hunkered down, they were hit by the third lesson of the new media landscape, that responding quickly matters. That was when Burger King president Tom Curtis posted a TikTok of himself taking a huge, messy bite of the revamped Whopper, a not-so-subtle trolling of McDonalds. Hard lessons, but worth learning. If you are in PR or comms, here’s a handy timeline to tape to the wall: Feb 3 — Kempczinski posts the Big Arch taste-test video to Instagram and LinkedIn. Minimal engagement; flies under the radar. Feb 26–27 — Comedian Garron Noone stitches the video on TikTok with commentary, declaring "this man does not eat McDonald's." The clip starts gaining traction on TikTok. Mar 1 — @Raindropsmedia1 posts the video on X with the framing that the CEO looked reluctant and uncomfortable eating his own food. The clip jumps from TikTok into the X/Twitter ecosystem and explodes. Mar 1 — Pile-on begins on X. @MikeBeauvais posts the Simpsons/Krusty Burger comparison. @TrungTPhan and other large accounts amplify. Mar 2 — Wall-to-wall media coverage: TMZ, Newsweek, Daily Dot, Fast Company, Adweek, Kotaku, and others all run pieces. Instagram views on the original post pass 3 million. Mar 2–3 — Burger King president Tom Curtis posts a TikTok taking a huge, messy bite of the revamped Whopper. Internet reads it as a direct troll of Kempczinski. Mar 3 — The Big Arch officially launches in U.S. McDonald's locations, arriving into a news cycle completely dominated by memes about the CEO's awkward promo rather than the burger itself.

I remember back when I was at the CBOT and a trader would say they were going home to "study" their charts. I thought that absurd. STUDY? A good pattern set up should take a millisecond to see.

Comment on grains I had been long Beans, Meal, Oil and Wheat in recent months Still long Rice One thing that gave me cold feet was that every "newbie" futures market blogger on X starting touting the bull cycle in grains It's rookie time Conventional wisdom I avoid $DBA https://t.co/RDfo4ZcllX

Participants in the 2026 Los Angeles Marathon have the option to only run 18 miles—and still receive a finisher medal, race officials announced this week. https://t.co/aSkoqCO1cO https://t.co/xi3NxCGKgK

My conclusion of listeing each most important aspects why (not) to invest in each: \- S&P 500: Pros: fully passive, highly liquid, instant diversification, historical \~10% compound annual growth Cons: High market volatility \- Real estate Pros: leverage from bank debt, predictable monthly cash flow, physical asset Cons: Illiquid, high entry costs, cost of maintenance, exhausting tenant management hassle What do you think is the better asset class and do you have any aspects to add why (not) to invest in each?

Mask is off. Introducing Sleepwell Capital🌙 https://t.co/3wFcHQ7uWR My name is Francisco Amador, and for the past five years, I've been building this project anonymously and now it's finally time to make it public. Sleepwell is a private investment vehicle and content platform focused on Consumer, Music, Tech and Experiences. What started as an anonymous Twitter account, turned into a way to invest some personal capital and write about the things I found most interesting. More recently, it's become a platform to back exceptional founders and companies across all stages, aiming to make high conviction investments and be a thoughtful long-term partner. It also unexpectedly grew into a large community of like-minded investors. I owe a lot to this platform and community. I've built some incredible relationships here, and also found my dream job, which I recently transitioned out of after 4 years. More to come soon🙏

A 10x in roughly a year on 2CRSi $AL2SI 🔥 I would not be surprised if this one continues to perform strongly. They could see EUR 2bn revenues in a few years - still a double at 8-10x EV/EBITDA. And given the current crazyness in the markets, who knows what multiple it can get. But that's it for us. Thanks all.

👀 "we think the [Google Cloud] margin rise is an illusion" - @SemiAnalysis_ $GOOGL https://t.co/AktwrC3e6U

I made this bot that basically picks the top 200 movers from the S&P 500, uses an LLM to ingest all sorts of technical data, and then spits out one ticker for me to buy, just before the markets open. So far, I think it's doing pretty well since gains have been more than losses. This is a simple backtest script I made to show which days are winners and losers, but I've been winning and losing real money with it since the 14th. I'm wondering what % gain does everyone else's bots target every day? I set my profit target at 4% per day. Some days it hits, some days it doesn't, but it does seem to hit about half the days, which is great. I'm just going full port, one blue chip stock per day, one trade per day, and so far it's working. Is anyone else getting better returns than this? If so, what are you trading? If you're wondering, it's a fairly simple .py system paired with alpaca. Edit: For clarification, the open/close column shows the gain of you would have simply bought at whatever the opening price was and closed 10 minutes before the market closed.

Interesting to see a few of today’s massive winners were also big winners in 1999. Huge returns in 1999 for stocks like $SNDK and $GLW (not listed below) followed by a crash and then 25 years of mostly sideways returns, only to rise like a phoenix again in the past year

S&P up 38% in the last year since Charlie’s commenters were convinced this time would be different. There is another important lesson embedded here: don’t let your politics influence your investment decisions. I’ve seen so many smart people make poor investment decisions due to politically-fueled emotion, and it happens regardless of which party is in power

Performance is directly correlated to the time you put in over the long run. More steps, more miles in running. In investing, the metrics I like to track are company reports, financial statements, phone calls, and deep dives among others. I love things where a consistently high volume of effort is required over long periods of time to see improvement. Long feedback loops.

Berkshire Dumped 16 Stocks In Q1 As Greg Abel Takes Over as CEO — Investors Notice Shift

Hey followers. The Dow presents us with the possibility of a "Brandt/Donchian" Weekend Rule. $YM_F https://t.co/gQFD6BvTxq

Great chart, great catch. Great principle.

The SpaceX IPO and Data Centers in Space There isn't a financial model that justifies the SpaceX IPO, but data centers in space are plausible, and that might be enough. https://t.co/ZiN64VB8Ay

It’s painful to watch this, especially from a player who is otherwise so great. NBA could fix it by copying the NHL: in hockey it’s a 2 min minor for flopping. The NBA could just call a technical foul. A turnover plus the free throw probably gets rid of 90% of these

Evolution of Berkshire's Portfolio (now with cash....)

I purchased a large amount of $CHTR equity and medium-dated calls this past week Stock is left for dead at $145 Enormous FCF which is inflecting higher as capex declines, $50 per share or more in sight for 2028 Competition is intense but strong wireless upsells provide an offset Debt has average maturity of 12 years with 5.1% avg cost, provides lots of optionality No one wants to own it in front of SpaceX IPO; I view the completion of the IPO as a positive catalyst as overhang is lifted Closing Cox/Liberty deals this summer should be another positive catalyst, helping to de-lever balance sheet Can continue to buyback an enormous amount of stock while also de-levering John Malone has hinted at shifting to paying out dividends, which would be huge catalyst Consolidation remains an option, there would be significant cost and competitive synergies by combining with a wireless carrier Fortunately, I have not previously owned $CHTR and lack the scars of others

There are far too many misunderstandings about position size. Do not decide position size from how much money you want to make. Do not decide it from subjective confidence. Do not decide it by copying someone’s 2 percent rule. Correct position size is mathematically derived from the performance of your strategy. If variance and distribution appear differently depending on the strategy, then of course the size required to collect samples safely will also change.

Discussion of opinion flexibility Several followers have commented on the fact that I might have favorable things to say about an asset class one day and unfavorable things to say the next day There is no inconsistency here in my opinion First off, an opinion expressed is NOT NOT NOT NOT NOT a position. Positions and opinions are different things completely. I deal in positions, not opinions. Secondly, I am a Bayesian. As a Bayesian I almost always have two binary narratives playing out in my head about every asset class. Long ago at the Chicago Board of Trade I learned that really really really smart people were always on the other side of my trades. Especially if I planned to hold a position for weeks or even months it was vital that I knew what smart people on the other side of my trade were thinking. If you have difficulty with the fact that I am flexible with my market opinions, well, that is your problem, not mine.

RT @CoryTV: New Rule: Every S-1 should start its "Risk Factors"'section with a full-page image of a massive explosion. 🚀 $SPCX #IPO #SECFILING https://t.co/KcOsqtdc7e

This is the only grain I am long and we took partial profits this week #Rice $ZR_F We always take partial profits at targets Bears can make money Bulls can make money But pigs (for profits) usually get slaughtered https://t.co/kjCA186FRo

Reminds me of one of my favorite Munger quotes where he talks about the futility of making long term plans and goals, instead advising: “just focus on the work that’s on your desk”. I’ve found this to be a much more useful way to approach both work and life in general

1/5th of $FCNCA's shares retired over the last 7 quarters. They bought back 4% of the company in Q1 https://t.co/k7sHIsCDIm

I find it quite surprising that the FX market is accurately pricing in an invasion of Taiwan which you can see if you look at the option prices on Non Deliverable Forwards (NDFs) that reference TWD. The 1Y 25-delta risk reversal has been bid for USD calls / TWD puts at a level that’s roughly 1.5 vols rich to its 5Y median, and the wing skew on 10-delta strikes is doing something even more interesting… If you strip out the carry component and decompose the forward into a deliverable proxy basket (DXY, CNH NDFs, KRW NDFs) the residual vol premium on TWD is the cleanest read you’re going to get on tail risk. Which in this case I would call the implied probability of a “regime change event.” My back of the envelope calculations: If you assume a binary outcome where invasion implies a ~25-30% spot move in USD/TWD and no-invasion implies mean reversion to forward fair value, the risk-neutral probability embedded in the 1Y wing is somewhere in the 8-12% range. That’s risk-neutral, so you need a haircut to account for the variance risk premium, which in tail-heavy EM could be 30-40% of the headline number. Running the numbers I get a real-world implied probability of ~5-8% over the next 12 months of an actual invasion of Taiwan. If you compare that to Polymarket (~3-4% for the same window) you’ve got a ~3 vol point arb between retail prediction markets and the institutional FX vol surface and surprisingly the FX market is more worried than the betting markets.

Great work on this by Colin. I think there are some mispricings in software right now thanks to the AI fear trade. $ZD looks like a glaring example

My Substack's stock ideas since inception have been like Shohei Ohtani going 13-for-14 with 3 grand slam homeruns. It won't last, but it's been fun so far! Ken Griffin says the best stock pickers are right just 54% of the time. $NVDA https://t.co/n8XcwEtaOd

In trading, your bad habits, emotional impulses, and errors in trade management become your biggest liabilities.

“Inflation is the one form of taxation that can be imposed without legislation.” — Milton Friedman https://t.co/klD2Wg5ZtP

Happy to have finally bought a ‘I still don’t fully get it but screw it’ stake $ABXX https://t.co/cmwYahDXzu

Remembering how in 2007-08 I worked with a tech analyst who would ask me about bank CDS spreads and how that was moving his stocks around so much (software or whatever), and have to think there are a lot of non-tech guys today frustrated by how much markets move on AI capex.

Normally we simply skip bubbles. But this current bull run is based on real fundamental growths. Micron's price for example rose by over 100% in the recent months, but their revenue has increased by 50%. NVDA rose 44% in one year while their revenue has increased 71%. The list goes on... This is not a bubble. These are CYCLICALS, especially RAM prices for example. Look at the car and energy boom in the 20s and 70s. Same pattern. Revenue, PE and stock price rise following a decrease in PE at the peak. Afterwards a correction happened. Weirdly enough their PE ratio has dropped to 25-35 range. \-> 'Wonderful companies at fair prices' (Warren Buffet) Isn't that what value investors supposed to buy?

Dell wins a $9.7 billion Pentagon software deal after cozying up to Trump

The destroyed option would take around 700 million years, so probably the first option. https://t.co/dxj8T8Gpku

I think these are great points by Gregory Kelleher on both the "psychological lock-in" that certain enterprise software has (i.e. sunk costs) as well as the circular trend where narrative drives price initially, which then entrenches the narrative (which may or may not be completely accurate), which further drives price. I think this price/narrative feedback loop happens much faster with greater amplitude than in the past thanks to pod shops/momentum funds becoming a much bigger incremental buyer/seller https://t.co/XWdRwRJfdw h/t @AKWilk

“If you’re going to trade with models, you follow the models completely. No emotions. No second-guessing. No ego.” — Jim Simons https://t.co/t8fgBfGk0Y

Semis now the largest Industry Group in SPX at 18.45%. That is up &gt;400bps since end ‘25 and has doubled in weight since ‘24. If we re-aggregate it into the Tech Equip + Hardware group, the combination is now almost 29% of entire SPX and eclipses the dotcom peak of 26% in Aug2000. https://t.co/rSfICvlMl4

Hey wannabee prop traders Question Has even one trader ever received a payout from @baynkr @Raentrading ?

Market is down - and my portfolio is REALLY perverse. I am losing money on shorts and gaining money on longs. Don't know which way is up.

The CBOE announced they will offer option trading in a pre market session for select stocks beginning July 13. Trading will start at 730 am et to 925 am et. They will offer a 15 minute curb session from 4pm to 415et. This will be for the following tickers, AAPL, AMD, AMZN, AVGO, BABA, GOOG, GOOGL, HOOD, INTC, META, MSFT, MU, NFLX, NVDA, ORCL, PLTR, TSLA Link to announcement, [Reminder - C1 Options to Offer Expanded Trading Hours for Select Equity Options](https://www.cboe.com/notices/content/?id=59959)

That’s four stock prices he’ll be managing. Almost as many as he has in the portfolio.

👀 "we think the [Google Cloud] margin rise is an illusion" - @SemiAnalysis_ $GOOGL https://t.co/AktwrC3e6U

Hey @grok Which semiconductor stock has the strongest balance sheet, highest free cash flow growth, and lowest valuation relative to its peers right now? Break down why the market is pricing it wrong.

I think AI might benefit industries that are now viewed as vulnerable. I think there will be more knowledge workers. More software written by AI might benefit companies that help you organize and interact with that software. Even crazier to suggest, what if AI benefits Hollywood? https://t.co/DnxYkUmKIY

Countries with key high-value suppliers and partners of Nvidia = ath

If you're reading this in a Q1 fund letter: "We have been actively repositioning the portfolio in 2025 in anticipation of AI-driven disruption to legacy enterprise and SaaS [...]. Taiwan remains our largest country exposure" but the fund's Q1 return was 1.0% (!!)... wtf did these people do??

You may have to hold your nose, but my bet is that a basket of current perceived AI losers such as $WDAY / $TOST / $BL / $HUBS nicely outperforms perceived AI winners such as $MU / $SNDK / $BE / $GLW over the next 18 months. Valuation matters more than good looks. Godspeed!

Celsius holdings (CELH) is an energy drink company, their target audience are health gurus and gym goers, mostly females and Gen Z, that is an untapped market at this current time and they're dominating based on their current and projected earnings growth, both the US and Internationally, my theory is that since they're a new brand their current age demographic will become generational as their costumer base grows older, same as MNST that had a generational run over the years. They've recently been working with PepsiCo and using their distribution system yet they're still not fully integrated, they've acquired Alani Nu (with massive success based on the revenue growth) thats targetted more towards women, and RockStar thats still in its early growth phase. Im feeling like their biggest competitor, MNST, is overvalued with 10x of CELH market cap (more room for CELH to grow), CELH has a current forward PE of around 20, lower than the rest of the energy drink companies which is a joke compared to the numbers they're growing, also CELH is being aggressively advertised to the Gen Z community, based on the many youtube influencers thats advertising the brand, just look at any podcast type influencers that are shoving it down the viewers throat (Theo Von for example). Sorry for the terrible formating since im writing on a phone, i recommend doing your own research and invest at your own risk, and read their balance sheets and earnings, this is my highest conviction pick and im throwing as much money as i physically could.

Huawei Takes on Nvidia: Chinese Tech Giant Unveils AI Chip Strategy to Beat US Sanctions and Reach 1.4nm

Mark Zuckerberg: Meta starting a cloud computing business is "definitely on the table". Meta hasn't done this yet because "we think that we have a use for the compute", but if Meta ever feels that it's overbuilt, it's "an option that we have". https://t.co/CiwGVidXCP

Which are the most delusional stock fan bases you've seen across your platforms. I am familiar with gamestop, amc and bed bath beyond, but what other cults are out there absolutely devoted to a stock with questionable fundamentals?

I’m a process engineer at a prominent semiconductor tool company in the Bay Area, about 1 year in. The job is honestly fine: nice coworkers, reasonable management, good feedback, and no major complaints about the company or the work itself. The issue is that I’m living away from my partner, and where he lives doesn’t have many semiconductor jobs. It’s also much harder for him to move here, and honestly, we both dislike Silicon Valley and don’t see ourselves building a long-term life here. I wanna emphasize that I don’t enjoy the industry culture and San Jose/Fremont area. The daily grind of this industry, the customer facing aspect, etc. have started to feel really heavy. I’ve been feeling sad almost every day, and day by day my resentment toward living here keeps growing. I don’t feel connected to the area, the industry, or even the goals I’m working toward anymore. I hate feeling this checked out, especially because the job and people are not bad, but I just don’t see myself caring about this path long-term. For people who left semiconductor/process engineering, where did you end up? What roles or industries were realistic transitions? Any advice on what skills I should start building now for a smoother exit? Edit 1: i have a PhD in Chemistry/Nanomaterials. Edit 2: Thanks for the advice so far. I'm not looking for a solid solution, I'm more about asking what the possibilities are or examples of people pivoting into other industries using their exp in semiconductor. I'm in my mental planning phase if that makes sense.

Do yourself a favour and follow my friend @GrumpierBTDay here. Grossly underfollowed. He gets grumpier by the day, but tons of interesting flags, massive outperformance and if you think your position sizing is aggressive…

Today's Key Events (All EST) — 05/28/2026 08:30: US PCE Price Index 08:30: US Initial Jobless Claims 08:30: US GDP QoQ 2nd Estimate 08:55: Fed's William [Voter] 10:00: US New Home Sales 10:15: Fed's Musalem [Non-Voter] 13:00: US 7-Year Auction 13:10: Fed's Musalem [Non-Voter] 15:00: Fed's Barkin [Non-Voter] Before Open 👇 04:00: $FUTU 04:30: Autohome $ATHM 04:30: Li Auto $LI 05:00: XPeng $XPEV 05:00: Weibo $WB 06:00: ATS $ATS 06:00: BRP $DOO 06:00: Xunlei $XNET 06:30: Hormel Foods $HRL 06:40: Build-A-Bear Workshop $BBW 06:45: Burlington Stores $BURL 07:00: Photronics $PLAB 07:00: Arbe Robotics $ARBE 07:00: Sono-Tek $SOTK 07:00: Destination XL Group $DXLG 07:00: Kohl's $KSS 07:10: Alarum Technologies $ALAR 07:30: REX American Resources $REX 08:00: Seanergy Maritime $SHIP 08:25: Diana Shipping $DSX After Hours 👇 16:00: Autodesk $ADSK 16:00: Okta $OKTA 16:00: NetApp $NTAP 16:00: HealthEquity $HQY 16:05: Dell Technologies $DELL 16:05: MongoDB $MDB 16:05: American Eagle Outfitters $AEO 16:05: Ambarella $AMBA 16:05: Elastic $ESTC 16:05: Asana $ASAN 16:05: ViaSat $VSAT 16:05: PagerDuty $PD 16:10: UiPath $PATH 16:10: ePlus $PLUS 16:15: Costco $COST 16:15: Gap $GAP 16:25: SentinelOne $S 16:30: NGL Energy Partners $NGL After Close: Chagee Holdings $CHA After Close: Universal $UVV

📺 HOW TO TRADE THIS GAP UP + $MU RED DOG REVERSAL
+ $TSLA NEXT BIG BREAKOUT LEVEL In this Short video, Scott breaks down how he approaches strong market gap-ups when $SPY and $QQQ are trading above the 21-day EMA and momentum remains intact. Instead of fighting the trend or trying to predict the top, Scott focuses on managing the process: trimming longs into strength, adding small hedges when appropriate, selling premium strategically, and continuing to stack gains day after day. He explains why traders should avoid emotional reactions during bullish momentum phases and why “this can’t end well” is not a trading strategy. As long as the market remains in an active bullish sequence, the higher-probability approach is staying aligned with leadership names while actively managing exposure. * Scott also covers the Red Dog Reversal setup in $MU. After Micron briefly broke below a key pivot and reclaimed it, the setup offered defined risk with strong upside momentum. Scott walks through how the reclaim around the $663 area created a high-probability entry, followed by momentum continuation through higher pivots as $MU accelerated sharply higher. He also explains why trimming profits does not automatically mean flipping short, especially in strong trending names like #MU. The video also covers $SNDK momentum continuation setup and a detailed breakdown of $TSLA trade, including prior Red Dog Reversal entries, trading around a core position $TSLL, selling puts during strength, and why Tesla continues to act constructively despite periods of volatility. Key levels like $403 and the larger $453 breakout zone remain important as #Tesla continues building higher lows and showing relative strength. There's market chatter/speculation about a potential Tesla-SpaceX merger, which is helping sentiment, though Scott doesn’t rely on that rumor as the core thesis. Instead, the primary reason for staying involved is simple: the stock continues trading well. * Successful momentum trading is less about calling tops and bottoms and more about disciplined execution, defined risk, active management, and staying with strong trends while they remain intact. If you found this helpful, please ❤️like and 🔁retweet

If you are young and seeking work at a venture capital firm here is an idea. Send them a deadpan, polished pitch book for AI mice fluffers as per tweet below. The last bit says if you want to know more go to a QR code. That code should be your CV. It would at least get noticed.

Morgan Stanley says April was “the best month for stock picking hedge funds since December 1999” And funds quadrupled their allocation to semis in the last year https://t.co/1A4KPMNgAJ

This is why I don't short hype. $MU was already up +250% in 2025. Added another 200% ytd https://t.co/4h9dttAk7K

This week's Read Out Loud podcast has a discussion about how much AI can speed up the drug development process. The process however required breeding of genetically modified mice, for testing. They can only breed so fast. It might help if we had AI mice fluffers. So here is a business model. Do you think @pmarca would fund this? Get cracking. https://t.co/dXQY0oXRYv

Hypothesis: this quarter is the first quarter where actual automation capabilities started to permeate through enterprise SaaS and we will start to see the feature benefits trickle up. Making SaaS the next leg of the AI trade. https://t.co/P0ubtfw6aY

They’re looking to expand rev. streams beyond ads now - bullish yet?

UBS Analysts See Trillion-Dollar Potential in Micron, MU Up 17%

Y'all are too negative on MediaTek. They know how to do chip design

It's bonkers that I wrote this in mid-November and the agentic AI megatrend added another exponential turboboost to the AI compute demand the following months. All plain to see to everyone. Yet the AI skeptics stayed blind to what was actually happening out there. Incredible. It really shows you how non-technical the mainstream media is or incompetent. Do they do any real checks or fundamental work?

World's leading animal pharma company at 13x PE with 9% EPS growth

I want to work in solid state physics and I was wondering what it was like to be in a cleanroom

Every now and then I read write-ups where I agree on the thesis but think it would be insane to act on it. Like $ASTS 's recent short pitch on VIC. Sure execution is important, but 90% of the 'valuation' here is storytelling. So what if they'll miss a quarter or two. Look at the projections. The base for valuation here is not fundamentals, it's faith. Missing a few quarters is not going to break the thesis at all. That won't be enough to break believers' faith. Because that's what is needed to break such stories. Faith needs to be crushed. And that can take a long ass time. And what if in the meantime they'll beat a quarter?

Run, don't walk, to listen to this interview if you're investing in memory $MU $SNDK NVDA's Ross argues that if memory prices stay high, engineers will devote a large portion of their time to solving the problem by using less memory

Looked at the market, and some stocks and assumed I was going to be thumped. Looked at the results as they came in and - well - up a handful of bps. Miracles happen.

Water Rights: The Hidden Asset the Market Still Values at Zero

$bbai acts better as the pattern looks good for a catch up move

Water Primer: The Misunderstood Trillion-Dollar Asset Class

"Would you rather be the world's greatest lover, but have everybody think you're the world's worst lover? Or would you rather be the world's worst lover, but have everybody think you're the world's greatest lover?" — Warren Buffett. If you choose the first option, you are wired with an inner scorecard.

As a bank CDS specialist I thought it was about time I learned about AI capex so that’s what this week’s Net Interest is about.

Great interview, strong technical and investment insights across the AI value chain

Revolut’s pivot: Will going full bank kill its tech-level growth and valuation? I read almost everything I can find about Revolut, but then I saw that Net Interest’s newsletter had dropped a new piece titled Revolut Unbound. I dropped my entire reading queue and started with it. Net Interest is one of the top finance Substack newsletters, written by @MarcRuby, a former hedge fund manager, seasoned bank analyst, and Bloomberg Opinion contributor. Marc and I have been following Revolut since almost the beginning, and we both have made small investments in the company. His Revolut Unbound piece is well written; it is best to read the whole thing yourself. My top takes: Marc suggests that low per-customer deposit amounts at Revolut could also be due to many customers joining rapidly and initially keeping low balances, which pulls down the overall average. Another point Marc is making: can Revolut sustain its exceptional growth and high valuation as it fully transitions from a balance-sheet-light fintech company into a real, licensed global bank — or will the constraints of banking limit or alter its upside? He writes: “One obstacle the group does face as it transitions more fully into a bank is capital. … One big difference though is valuation. … If Revolut can sustain both [rapid growth and 36% ROE], then Storonsky could be very rich.” That is a great point. Initially, Revolut tried to be balance sheet-light, as I recall, CEO Nik Storonsky said in an interview that this way the company could grow faster and command a higher valuation as a tech company rather than as a bank. Later, Nik admitted that avoiding heavier regulation was a mistake, and they are now embracing banking licences and biger balance sheets. One day, I will write my opinion piece on why I think it was a mistake. The core idea of Marc piece: Revolut has come a long way from its early days of wanting to "replace banks" with a light, non-bank model — and securing full banking licences is a unlock that gives it new capabilities (deposits, higher net interest spreads, broader lending), but it also introduces real frictions and trade-offs that didn't exist in its more asset-light fintech phase. Link to Net Interest newsletter: https://t.co/l7ehFBKQnA

The whole AI doomer contigent literally doesn't know how it works

$spy digesting with some inside type action.. Lots of names to manage.. See if $748ish holds to keep upper support in tact.. or do they shake it up a bit to the 8day https://t.co/yS3qbgXv6l

If only if there was a Substack that made a bull call on $DRAM ETF super early, before everyone else piled in. https://t.co/DxB0rRA2Z2

The new KEDM is live! This week, in collaboration with @MikeFritzell, we dig into the Korean stock market and he also shared a few value names he is watching. Plus, as usual, plenty of actionable event-driven setups. Enjoy https://t.co/JVD0YLd5Rl

Yuck can’t remember so much hurt in the portfolio 🤮

I am hoping $AMC apes will buy a lot of stock now that @CEOAdam has ponied up. But Apes have traditionally been wimps. How much will AMC be up?

Leopold loaded up on puts in chip names, even before recent 50% run

$MOLY share price vs Molybdenum price https://t.co/2qxLWQukjq

We’re thrilled to be backing @fractile_ai , solving inference at the edge of what’s possible. The current AI trend around infra and memory is deeply personal to me. A decade ago, I was part of a small team at Cruise pushing silicon to its limit. We were running perception and planning models on NVIDIA Titan with only 6GB of RAM & 2k CUDA cores. The chips were on-device, power-constrained, thermally limited. The car's air conditioning wasn't designed to dissipate that much heat so we had to engineer custom cooling. Everything was duct tape and ingenuity. It gave me a deep appreciation for doing more with less, and for founders like @goodwin_ml at Fractile who operate the same way. If you're the type who stares at the limits of physics and sees a challenge - reach out !

option market pricing outcomes of the two critical shortages: memory and crude ratio of 2m implied vol of Kospi2 to SPX and USO to SPX... https://t.co/62jKI1BEST

$IREN strong move up 13% after weeks of massive bull flow

Today is a great reminder to read and support The Bear Cave newsletter As early as January 2023, The Bear Cave raised serious concerns about billing fraud, oversaturation, and consumer churn at Planet Fitness $PLNT is down ~31% today on "slower than expected net member growth" and down ~50% since The Bear Cave's first investigation

There’s a long way to go before wagers on events can rival markets that allocate capital, writes @MarcRuby (via @opinion) https://t.co/uR7TL5Y52e

Brewster Ventures would be focused on getting tirzepatide to as many people as possible. That’s how we can actually attack long term healthcare costs. Meanwhile, I own none of the stocks 🤦‍♂️

Excited to share this interview with Ted Bealin, CIO of Aptera Capital, a new L/S hedge fund focused on financial services, housing and DTC investments. Ted previously worked at Rock Ventures, the family office of Dan Gilbert. Full Interview here: https://t.co/5rkkVGOc1g 1/3 https://t.co/HYueTaLhiv

$spx futures -4 as $spy tries to digest above $748ish upper support. If that doesn’t hold the 8day is near $744ish which is bigger https://t.co/Jw4jOHvCBE

$HPQ bang! Love when flows point to these kind of low IV names, calls 3X so easily https://t.co/vbcDeccivR

People are going to need to eat enough and weight train. Long term risk they don’t do that.

Europe Pacific (VEA) unusual buys 5000 September $72 calls 2.70 offer

Listening to an old Business Brew episode with Bill &amp; Bob Robotti. This part stood out - more applicable now than when he said it. "The Fed can't do anything, people believe the fed can do everything...he's the Wizard of Oz" @BillBrewsterTBB @BobRobotti https://t.co/myf24oo2Cg

RT @Mark_IKN: The destroyed option would take around 700 million years, so probably the first option. https://t.co/dxj8T8Gpku

Name a better remix Slim Thug - Swimming Pools Flow (Feat. Delo &amp; Paul Wall) Video https://t.co/00NYzwP0vF via @YouTube

Speaking of memory tech innovation, our friend @solbier1 at @factorialfunds recently helped lead a financing at Fractile AI, which is developing faster and cheaper inference chips. We interviewed Sol Bier at our 2024 conference: https://t.co/anR22uMhW8

Introducing https://t.co/Nmn2sTd3va, the world’s largest database of paid stock promotions We are tracking hundreds of websites, email lists, YouTube channels, and much more to document the companies spending millions on stock promotion In an age of deceit, I hope this tool can help protect investors and serve as idea generation for short sellers

RT @maxkarpis: Revolut’s pivot: Will going full bank kill its tech-level growth and valuation? I read almost everything I can find about Revolut, but then I saw that Net Interest’s newsletter had dropped a new piece titled Revolut Unbound. I dropped my entire reading queue and started with it. Net Interest is one of the top finance Substack newsletters, written by @MarcRuby, a former hedge fund manager, seasoned bank analyst, and Bloomberg Opinion contributor. Marc and I have been following Revolut since almost the beginning, and we both have made small investments in the company. His Revolut Unbound piece is well written; it is best to read the whole thing yourself. My top takes: Marc suggests that low per-customer deposit amounts at Revolut could also be due to many customers joining rapidly and initially keeping low balances, which pulls down the overall average. Another point Marc is making: can Revolut sustain its exceptional growth and high valuation as it fully transitions from a balance-sheet-light fintech company into a real, licensed global bank — or will the constraints of banking limit or alter its upside? He writes: “One obstacle the group does face as it transitions more fully into a bank is capital. … One big difference though is valuation. … If Revolut can sustain both [rapid growth and 36% ROE], then Storonsky could be very rich.” That is a great point. Initially, Revolut tried to be balance sheet-light, as I recall, CEO Nik Storonsky said in an interview that this way the company could grow faster and command a higher valuation as a tech company rather than as a bank. Later, Nik admitted that avoiding heavier regulation was a mistake, and they are now embracing banking licences and biger balance sheets. One day, I will write my opinion piece on why I think it was a mistake. The core idea of Marc piece: Revolut has come a long way from its early days of wanting to "replace banks" with a light, non-bank model — and securing full banking licences is a unlock that gives it new capabilities (deposits, higher net interest spreads, broader lending), but it also introduces real frictions and trade-offs that didn't exist in its more asset-light fintech phase. Link to Net Interest newsletter: https://t.co/l7ehFBKQnA

RT @business: There’s a long way to go before wagers on events can rival markets that allocate capital, writes @MarcRuby (via @opinion) https://t.co/uR7TL5Y52e

RT @Alty_Markets: Semis now the largest Industry Group in SPX at 18.45%. That is up &gt;400bps since end ‘25 and has doubled in weight since ‘24. If we re-aggregate it into the Tech Equip + Hardware group, the combination is now almost 29% of entire SPX and eclipses the dotcom peak of 26% in Aug2000. https://t.co/rSfICvlMl4

RT @samuraipips358: There are far too many misunderstandings about position size. Do not decide position size from how much money you want to make. Do not decide it from subjective confidence. Do not decide it by copying someone’s 2 percent rule. Correct position size is mathematically derived from the performance of your strategy. If variance and distribution appear differently depending on the strategy, then of course the size required to collect samples safely will also change.

RT @Process_Cap: Listening to an old Business Brew episode with Bill &amp; Bob Robotti. This part stood out - more applicable now than when he said it. "The Fed can't do anything, people believe the fed can do everything...he's the Wizard of Oz" @BillBrewsterTBB @BobRobotti https://t.co/myf24oo2Cg

RT @JeffDarlington: As you watch Aaron Rai in the PGA Championship, you might notice he uses iron covers for his clubs and wears two gloves — two habits often viewed as golf faux pas. But both are actually inspiring. Rai grew up in a working-class family in England, where his father sacrificed heavily to support his golf career. When Aaron got an expensive set of irons as a kid, his dad would clean every groove with a pin and baby oil after practice because the clubs meant that much to them. The iron covers became a reminder to appreciate what you have. And the two gloves? Rai started wearing them as a kid during cold-weather golf in England and eventually became so comfortable with the feel that he never stopped. Not gimmicks. Just gratitude… and comfort.

RT @gatorcapital: Today, $FISV said they will generate $13.5 in free cash flow during 2027-29, and it will all go to share repurchases. That is 47% of the current market cap.

RT @BillAckman: .@CurtisSliwa cares more about being in the spotlight for two and a half weeks than he does about New York City. He makes that abundantly clear in this clip. You tell me who is being the jerk, his words. And he is wrong. I have been a New York State and City taxpayer and resident since 1988. Just in the last decade, I have paid $480 million of state and city taxes and donated $350 million to New York City institutions. I have done my part to help New York. New York City needs more billionaires not less . The City works because the millionaires and billionaires pay the taxes and make the donations that support the entire community and the institutions and services that make NYC great. @ZohranKMamdani says billionaires should not exist. Zohran says he is a ‘existential threat’ to me and other billionaires. That’s not a smart strategy for raising the revenues that keep the city solvent. And yes, he is also a jerk.

RT @wallstengine: Today's Key Events (All EST) — 05/28/2026 08:30: US PCE Price Index 08:30: US Initial Jobless Claims 08:30: US GDP QoQ 2nd Estimate 08:55: Fed's William [Voter] 10:00: US New Home Sales 10:15: Fed's Musalem [Non-Voter] 13:00: US 7-Year Auction 13:10: Fed's Musalem [Non-Voter] 15:00: Fed's Barkin [Non-Voter] Before Open 👇 04:00: $FUTU 04:30: Autohome $ATHM 04:30: Li Auto $LI 05:00: XPeng $XPEV 05:00: Weibo $WB 06:00: ATS $ATS 06:00: BRP $DOO 06:00: Xunlei $XNET 06:30: Hormel Foods $HRL 06:40: Build-A-Bear Workshop $BBW 06:45: Burlington Stores $BURL 07:00: Photronics $PLAB 07:00: Arbe Robotics $ARBE 07:00: Sono-Tek $SOTK 07:00: Destination XL Group $DXLG 07:00: Kohl's $KSS 07:10: Alarum Technologies $ALAR 07:30: REX American Resources $REX 08:00: Seanergy Maritime $SHIP 08:25: Diana Shipping $DSX After Hours 👇 16:00: Autodesk $ADSK 16:00: Okta $OKTA 16:00: NetApp $NTAP 16:00: HealthEquity $HQY 16:05: Dell Technologies $DELL 16:05: MongoDB $MDB 16:05: American Eagle Outfitters $AEO 16:05: Ambarella $AMBA 16:05: Elastic $ESTC 16:05: Asana $ASAN 16:05: ViaSat $VSAT 16:05: PagerDuty $PD 16:10: UiPath $PATH 16:10: ePlus $PLUS 16:15: Costco $COST 16:15: Gap $GAP 16:25: SentinelOne $S 16:30: NGL Energy Partners $NGL After Close: Chagee Holdings $CHA After Close: Universal $UVV

RT @firstadopter: "MediaTek optimistic about expanding Nvidia partnership" 🤭 https://t.co/ZNLG6qsj97

Andrew Left spent the day testifying yesterday, and cross-examination is expected today. Unlike Friday, Andrew was relaxed, confident, and commanded the courtroom yesterday. Much of courtroom debate revolves around the word “opposite” and whether buying to cover shortly after releasing a short report is doing the “opposite” of what you recommend. Defense emphasizes the opposite of short is long and the opposite of long is short, and Andrew never issued a short then went long or vice versa, just reduced via risk management. Defense also emphasized Andrew is a short-term trader in all stocks not just reports Adam Fee: “Were you hoping to make money trading around the report?” Andrew: “Yes, I was.” Defense also argued that the rules are not clear, and nobody believed these trading practices were wrong. In fact, in one case mentioned in the indictment, $LOPE, Andrew even submitted an SEC whistleblower petition on the company. Cross-examination today should help clarify the government’s position. Closing arguments expected tomorrow.

Excellent NYT piece on the secretive reputation management machinery around Epstein, the same apparatus used by the UAE, Bain Capital and Robert Smith to bury unfavorable coverage. Kathryn Ruemmler from Goldman Sachs sits at the center of it. Long-overdue close-up. Link below

Myles @finphysnerd is one of the rising stars of FinTwit. He's an independent thinker, has great short ideas, and I've learned a lot from his posts His interview below is worth your time

RT @firstadopter: 👀 "we think the [Google Cloud] margin rise is an illusion" - @SemiAnalysis_ $GOOGL https://t.co/AktwrC3e6U

RT @dalibali2: Hypothesis: this quarter is the first quarter where actual automation capabilities started to permeate through enterprise SaaS and we will start to see the feature benefits trickle up. Making SaaS the next leg of the AI trade. https://t.co/P0ubtfw6aY

RT @bubbleboi: I find it quite surprising that the FX market is accurately pricing in an invasion of Taiwan which you can see if you look at the option prices on Non Deliverable Forwards (NDFs) that reference TWD. The 1Y 25-delta risk reversal has been bid for USD calls / TWD puts at a level that’s roughly 1.5 vols rich to its 5Y median, and the wing skew on 10-delta strikes is doing something even more interesting… If you strip out the carry component and decompose the forward into a deliverable proxy basket (DXY, CNH NDFs, KRW NDFs) the residual vol premium on TWD is the cleanest read you’re going to get on tail risk. Which in this case I would call the implied probability of a “regime change event.” My back of the envelope calculations: If you assume a binary outcome where invasion implies a ~25-30% spot move in USD/TWD and no-invasion implies mean reversion to forward fair value, the risk-neutral probability embedded in the 1Y wing is somewhere in the 8-12% range. That’s risk-neutral, so you need a haircut to account for the variance risk premium, which in tail-heavy EM could be 30-40% of the headline number. Running the numbers I get a real-world implied probability of ~5-8% over the next 12 months of an actual invasion of Taiwan. If you compare that to Polymarket (~3-4% for the same window) you’ve got a ~3 vol point arb between retail prediction markets and the institutional FX vol surface and surprisingly the FX market is more worried than the betting markets.

RT @Alpha_Ex_LLC: option market pricing outcomes of the two critical shortages: memory and crude ratio of 2m implied vol of Kospi2 to SPX and USO to SPX... https://t.co/62jKI1BEST

RT @internpierre: Excellent NYT piece on the secretive reputation management machinery around Epstein, the same apparatus used by the UAE, Bain Capital and Robert Smith to bury unfavorable coverage. Kathryn Ruemmler from Goldman Sachs sits at the center of it. Long-overdue close-up. Link below

Okay Micron has gone crazy. UBS lifted its price target from $535 to $1,625 as of May 26th. Is anyone buying in at this point? I remember a few months ago everyone was talking about a microchip 'bubble' similar to what occurred during the 1990s with internet stocks. I guess they finally realized a Artificial Intelligence isn't going to 'pop' anytime soon. Welcome to the 4th Industrial Revolution baby. The only question is - outside of Nvidia - who stands to profit the most?

Earnings &amp; Economic #s for the week https://t.co/l2maDA459r

OptionsHawk is opening MAX Trials for the next 2-3 weeks for the first time in over a year Figure, heart of earnings season, come take a look at what we do and what we are working on! https://t.co/VFJnxPUmEP

I’m starting a 30 day challenge where I’ll post one daily prediction from a machine learning model and track the results publicly. The prediction is simple: will tomorrow’s close price be higher or lower than today’s close price? For Day 1, I’m using AMZN with a LightGBM classification model. The setup is: Model: LightGBM with custom hyperparameters Stock: Amazon, daily data Start date: Jan 1, 2020 Features: SMA 10, 100, 200 and EMA 10, 100, 200 Preprocessing: MinMax normalization Validation setup: 90 day in sample, 30 day out of sample testing Target: next day close higher or lower than today’s close I fine tuned the model until the backtest looked reasonable, but I’m not claiming this is a proven strategy or financial advice. The goal is to see how well this holds up live over 30 trading days, without hindsight. The current backtest shows the AI model outperforming buy and hold on AMZN, with higher cumulative return and lower max drawdown. That said, the out of sample classification metrics are still modest, so I’m treating this as an experiment. Day 1 Prediction: The model is predicting that Amazon’s next trading day close price on May 26 will be lower than the last close price of $266.32. Model confidence: 46% I’ll track this with a $1,000 starting balance and report back the next trading day with the updated balance, the result of the prediction, and the next recommendation. DM me if you’re interested in chatting about specifics. [Equity curve](https://preview.redd.it/sm6mbmgnbc3h1.png?width=2048&format=png&auto=webp&s=e86e9e27cd4151b44e790e1a7c148280c857bfee) [Average return vs. historical model confidence](https://preview.redd.it/jjx8fh2rbc3h1.png?width=2048&format=png&auto=webp&s=ed8c03a94726d087e3b365be876a7622719a4648) [Buy and hold vs. model backtest results](https://preview.redd.it/906pf5fsbc3h1.png?width=2048&format=png&auto=webp&s=756ebec475bef71605016dbbc14ed4fbb731c227)

Most traders try to change their behavior by trying to increase willpower. Push harder. Focus more. Be more disciplined. But it often doesn't work. If you look at Ohm's Law from electrical engineering, behavior doesn’t come from force alone. (thanks to a client w this background who used the analogy). It comes from the interaction between force and resistance. Ohm's law says voltage drives current. And it also says resistance determines how much actually flows. Translated into trading: Your willpower is the voltage. Your execution is the current. Your internal conditioning is the resistance. So...if resistance is high, increasing willpower doesn’t create smooth execution. It creates internal pressure. That pressure can show up in many ways: Overtrading Hesitation Forcing trades Deviating from your plan Emotional exhaustion You feel like you’re trying harder… but getting worse results. Why? Because resistance isn’t simply a mindset problem. It’s also a nervous system problem. It’s built from: Fear of loss or not enough Need to prove something Past emotional experiences around money Dopamine-driven habit loops ** Stress physiology (cortisol, adrenaline) When those are active, your system is not optimized for execution. It’s optimized for protection. So you push harder. And the nervous system pushes back. That’s why willpower alone doesn’t create sustainable change. It increases voltage in a system full of resistance. The real work is different, and this where skilled coaching comes in: You don’t force better behavior. You reduce resistance. That means: - Building awareness of your Inner Market in real time - Regulating your nervous system under pressure - Unwinding unconscious emotional drivers - Creating structural risk management so you’re not relying on discipline in the moment When resistance drops, something shifts. Execution starts to flow. Not because you’re trying harder… but because there’s less in the way. That’s the paradox... Sustainable discipline isn’t about pushing more. It’s about removing what’s blocking you. If this post is helpful, R/T, follow, like, and BOOKMARK this post. tradingmindset #tradingpsychology $ES_F $NQ_F $QQQ $SPY

Another strong day for Andrew Left today Prosecutor Ben Balding struggled on cross examination and often seemed confused by his own statements Some notes from the courtroom today: Balding tried to point out that Left's analysis on NVDA primarily originated from other analyst research notes. Left points out there is nothing wrong with that and other research notes aren't fully public Balding, oddly IMO, tried to paint publication during trading hours as a manipulative tactic quoting, "Investors are emotional, like a flock of birds, during trading hours." Andrew was managing a roughly $20 million Etrade account in August 2018, which declined by $11 million to $9 million by December 2018, showing his strategies didn't generate consistent returns Left and his analyst Ryan Choi considered paying former SEC commissioner Harvey Pitt to review their work on $LOPE Government's allegation that Left falsely claimed to have investors was contradicted by the fact Atom described itself as a Left investor and Left invested in his own funds One big takeaway in this trial is how little many of the participants (especially the prosecutors and judge) understand about finance. For example, the prosecution objected to one chart because it included split-adjusted prices, which they argued are "current" prices and the judge blocked the exhibit with split-adjusted $NVDA prices In my opinion, this trial is very much about the heart of activist short selling, which is trading around reports Closing arguments are tomorrow followed by jury deliberations

Defense began in the Andrew Left trial today, starting with expert witness Prof Andrew Verstein Asked about whether Left’s trading around reports was market manipulation Verstein said: “I think that’s a terrible definition of market manipulation and I would flunk a student who used it as an example.” Much of the prosecution focused on trading closely around reports and I’m struck by how much of the arguments in this trial apply to activist short sellers in general Prosecution had a few strong moments but overall their witnesses had a lot of trouble maintaining credibility on cross examination Andrew is expected to testify with closing arguments coming on Wednesday

Thanks for having me on today @traderTVLIVE @tradertvshawn @tradertvneal Alphatrends subscribers get so much more everyday and that includes trade ideas from myself and @Andy__Moss and market psychology from @Andrew_Menaker Check out this deal which is good thru Sunday ➡️ https://t.co/CsXKVZ5d5W $MU $GOOGL $NVDA $BTDR $ALKS $TGTX $MTCH

RT @Andrew_Menaker: Most traders try to change their behavior by trying to increase willpower. Push harder. Focus more. Be more disciplined. But it often doesn't work. If you look at Ohm's Law from electrical engineering, behavior doesn’t come from force alone. (thanks to a client w this background who used the analogy). It comes from the interaction between force and resistance. Ohm's law says voltage drives current. And it also says resistance determines how much actually flows. Translated into trading: Your willpower is the voltage. Your execution is the current. Your internal conditioning is the resistance. So...if resistance is high, increasing willpower doesn’t create smooth execution. It creates internal pressure. That pressure can show up in many ways: Overtrading Hesitation Forcing trades Deviating from your plan Emotional exhaustion You feel like you’re trying harder… but getting worse results. Why? Because resistance isn’t simply a mindset problem. It’s also a nervous system problem. It’s built from: Fear of loss or not enough Need to prove something Past emotional experiences around money Dopamine-driven habit loops ** Stress physiology (cortisol, adrenaline) When those are active, your system is not optimized for execution. It’s optimized for protection. So you push harder. And the nervous system pushes back. That’s why willpower alone doesn’t create sustainable change. It increases voltage in a system full of resistance. The real work is different, and this where skilled coaching comes in: You don’t force better behavior. You reduce resistance. That means: - Building awareness of your Inner Market in real time - Regulating your nervous system under pressure - Unwinding unconscious emotional drivers - Creating structural risk management so you’re not relying on discipline in the moment When resistance drops, something shifts. Execution starts to flow. Not because you’re trying harder… but because there’s less in the way. That’s the paradox... Sustainable discipline isn’t about pushing more. It’s about removing what’s blocking you. If this post is helpful, R/T, follow, like, and BOOKMARK this post. tradingmindset #tradingpsychology $ES_F $NQ_F $QQQ $SPY

🚨 2026 MEMORIAL DAY SALE – Rare Alphatrends Bundle 🚨 Alphatrends is now stronger than ever with the addition of two world-class experts: @Andy__Moss – CMT with 26 years of institutional trading experience @Andrew_Menaker – PhD Trading Psychologist for 25 years To celebrate this expanded team, we’ve put together our most complete bundle ever: Total Value $3,101 → Now only $1,334 (57% OFF) Includes: ☑️1 Year Premium Membership (locked at discounted rate) ☑️Lifetime access to both Intro & Advanced Stock Trading Courses ☑️Lifetime access to Andrew Menaker’s Trading Psychology Course ☑️30-minute 1-on-1 coaching session with Brian or Andy Sale ends May 31, 2026 — don’t miss it. 👉 Full details & grab the bundle here: https://t.co/CsXKVZ5d5W Trading #TechnicalAnalysis #MemorialDaySale We only run sales 1-2 times per year… and this one is extra special.

Proud of the team at Alphatrends! We’ve added two excellent traders to the team: @Andy__Moss and @Andrew_Menaker. Take advantage of our 2026 Memorial Day Sale — now only $1,334 (57% off, $3,101 value). Includes: -1 Year Premium Membership (Daily trade ideas, education, Discord, etc. -Lifetime access to both Stock Trading Courses -New: Andrew Menaker’s Trading Psychology Course & Monthly Seminars -New: 30-min 1-on-1 coaching session Sale ends May 31st. 👉 https://t.co/CsXKVZ5d5W

I’m feeling blessed to share: Owner raised $120M Series C and is now at a $1B valuation 🦄 Mom-and-pop restaurant owners are being crushed by huge corporations. We’re using this cash to arm them to fight back. • This round was co-led by 2 perfect partners for us: Alex Kurland from Meritech, who led DoorDash’s Series B, and Shalini Rao from Headline, who led Toast’s Series C. They were also joined by an inspiring group of new investors: Fidji Simo (CEO Instacart), Jonathan Neman (CEO Sweetgreen), Garrett Langley (CEO Flock Safety). & still more inspiring new investors... Dharmesh Shah (CTO HubSpot), Josh Reeves (CEO Gusto), Shaan Puri (MFM), Matteo Franceschetti (CEO Eight Sleep), Anthony Pompliano, Sahil Bloom, Christina Cacioppo (CEO Vanta), Brett Schulman (CEO Cava), Matt Maloney (Founder & CEO GrubHub). … just to name a few. :) • Today, technology is being weaponized against small business owners. Corporations like Domino’s dominate. Why? Because they spend billions on tech, engineers, and marketers. • Small business owners are forced to compete with corporations that have massive war chests. But with Owner, they can do more than compete. They can win. We’re building the platform that gives them the power. We serve the people who serve our communities. • I started Owner 7 years ago, after dropping out of high school halfway through 10th grade. The first version of Owner wasn’t built for venture capital. It was built for my mom. She’s a small business owner who just needed a shot at success in the digital world. • I remember watching her worry that we’d lose her business and our house. In a moment of desperation, she asked her weird :) nerdy 17-year-old son to help her. I built a solution for her. That was Owner V1. When it started to work, I saw my mom transform. She went from being constantly stressed about money to feeling hopeful and excited about her future. The Owner team has now seen that same transformation happen for thousands of small business owners like her. That’s what drives us. • You can think of Owner as Shopify for restaurants—and, eventually, all local business owners. It gives them everything they need to succeed in the online future, in one place. Owner is their website, online ordering, mobile app, CRM. It all works together as one system. • Owner is also continuously optimized with what we learn from the thousands of restaurants and the more than 57 million consumers who have used our platform. It’s the only system designed for one outcome: growing sales profitably. It gives independent owners enough firepower to take on the big corporations, and win. • Shoutout to the great team at @Owner — You deserve the credit for getting us here. I thank God every morning that I get to build Owner with each of you. We wouldn’t be here without you. We have a special team. Each of you represents greatness. • And shoutout to the best cofounder and CTO I could ever ask for, @DeanBloembergen. His work ethic and genius are as impressive as his character. I view partnering with Dean as one of the best decisions I’ve ever made. • I’m proud of Owner today. But I also feel scared that people will see our unicorn valuation and think “we’ve made it.” So let me be brutally clear. We HAVE NOT made it. And if we start to believe we have, we never will. When investors value us at $1B, it’s because they see potential. Our investors see the POTENTIAL for us to build a company worth tens of billions. We have to prove them right. And we must also prove right the thousands of restaurant owners who’ve bet their futures on us. • We’re still underdogs. We still have a long way to go. We didn’t come this far just to come this far. It’s time to move faster, build better, and fight harder! We have millions of small business owners counting on us.

I’m excited to announce our $185M Series C valuing Kalshi at $2B. The round was led by Paradigm with participation from Sequoia, Multicoin, Peng Zhao, Neo, and Bond Capital. People choose to work at Kalshi not because of the money we've raised, but because of our ambition: build the most important financial market on the planet. Today, we celebrate our team and community who have taken prediction markets mainstream and made Kalshi one of the fastest growing companies in America. What once felt impossible now looks inevitable.

We raised $6.5m to build humanity’s platform for uploaded consciousness. Sentience creates one unique model for every person — a digital twin of your mind — to remember everything, recall what matters, and operate as you. I started this company because I am worried. For the first time, we have intelligence that will fully replace humans across a range of domains within a few years. For those outside of the tech echo chamber, this is a period wrought with confusion and uncertainty about what actually matters anymore. I’ve had numerous conversations with people who aren’t sure if they have any value as a unique human being, or whether their own thinking matters. While Silicon Valley goes full speed ahead towards AGI, many people are left wondering what place they have in this AI future. If I can communicate one thing to everyone out there with these doubts, it would be this: your unique knowledge, memories, and who you are still matter. In fact, these things matter now more than ever. The problem is that the course of AI is heading towards a world where all of us will outsource our thinking to the same one-size-fits-all AI models. This is not a hypothetical future. If 100,000 people ask a question to ChatGPT, every single person gets the same answer. You can see the cost of uniform AI models across writing, social media, and even academic papers. This uniformity is more than annoying – it’s dangerous. There’s a genuine chance that we lose the texture and vibrancy that makes us unique as a species. I founded The Sentience Company to arm real humans against this dystopian outcome. First, your Sentience lets you collect everything that holds context from your life, learning from what you do across every platform – starting on desktop and mobile. Never forget a detail again. Second, your Sentience becomes the best recall engine for everything in your life. Never copy/paste context or search across 50 chrome tabs again. Finally, your Sentience becomes the full simulation of you – an AI model that thinks and acts like you, to scale and share your unique ideas and interact with others. Your Sentience emulates more than your context. It understands your values, emotions, drive, and goals. We’re creating a world where you can leverage your own Sentience model alongside the models of your colleagues and friends to jam on ideas and access their knowledge 24/7. We’re not building Sentience to scale AGI and replace more human thinking. We’re building Sentience to scale you. We’re proud that many amazing humans are supporting our mission. Our round was led by @kevinzhang (@BainCapVC), with participation from @ditzikow, @adityaag, @evantana, @AgrawalArian, @gopalkraman, @JPBrebner (@southpkcommons), @rex_woodbury, @tmrohan, @soleio, @anniecase1, and many more.

We’re excited to share that Nourish has raised a $100M Series C, bringing our total funding to $215M 🚀 The round was led by @MenloVentures, with participation from @ThriveCapital, @IndexVentures, @ycombinator, @jpmorgan Growth Equity Partners, Maverick Ventures, @BoxGroup, @atomico, @daybreak_fund, and Operator Partners. Nearly 200 million Americans live with nutrition-related chronic conditions, yet care today is expensive, reactive, fragmented, and doesn't make people healthier. Nourish has built the AI-native metabolic care model to change that - driving the personalized behavior and lifestyle change that deliver real clinical outcomes at a low cost and great patient experience. In just four years, Nourish has grown to 10,000+ Registered Dietitians - the largest in the country - completed millions of appointments, and more than tripled year-over-year. Nourish has partnered with hundreds of the nation’s leading health plans to provide broad access for more than 200 million covered lives. Nourish has tens of thousands of providers from over 250 health systems referring hundreds of thousands of patients to Nourish’s care model. Most importantly, we’re helping patients get healthier: - 8% average weight loss - 1.3-point average A1C reduction - 31-point average LDL reduction - 23-point average systolic blood pressure reduction This next chapter will help us grow our clinical network, accelerate investment in AI agents for patients and providers, continue building a metabolic health clinic centered around real patient outcomes, and deepen partnerships with health plans, employers, and health systems. Thank you to our patients, providers, partners, and team for helping make this possible🧡 Read more here:

Provocative post by @rex_woodbury on why NYC is leading geo for building successful AI application startups: https://t.co/UpyEGVVI92

The Kalshi story is a good reminder that when things start working, they can *really* start working. Just need to keep executing until things click into place. Here's a chart @mansourtarek_ shared with me last year. Hugely impressive. Congrats to the team on their Series C! https://t.co/33y6QZMGLF

Breaking: Disney is making a $1 billion investment in OpenAI and will let the AI platform use its characters to make social-media videos https://t.co/DHp9AVhrOh

RT @adamguild: I’m feeling blessed to share: Owner raised $120M Series C and is now at a $1B valuation 🦄 Mom-and-pop restaurant owners are being crushed by huge corporations. We’re using this cash to arm them to fight back. • This round was co-led by 2 perfect partners for us: Alex Kurland from Meritech, who led DoorDash’s Series B, and Shalini Rao from Headline, who led Toast’s Series C. They were also joined by an inspiring group of new investors: Fidji Simo (CEO Instacart), Jonathan Neman (CEO Sweetgreen), Garrett Langley (CEO Flock Safety). & still more inspiring new investors... Dharmesh Shah (CTO HubSpot), Josh Reeves (CEO Gusto), Shaan Puri (MFM), Matteo Franceschetti (CEO Eight Sleep), Anthony Pompliano, Sahil Bloom, Christina Cacioppo (CEO Vanta), Brett Schulman (CEO Cava), Matt Maloney (Founder & CEO GrubHub). … just to name a few. :) • Today, technology is being weaponized against small business owners. Corporations like Domino’s dominate. Why? Because they spend billions on tech, engineers, and marketers. • Small business owners are forced to compete with corporations that have massive war chests. But with Owner, they can do more than compete. They can win. We’re building the platform that gives them the power. We serve the people who serve our communities. • I started Owner 7 years ago, after dropping out of high school halfway through 10th grade. The first version of Owner wasn’t built for venture capital. It was built for my mom. She’s a small business owner who just needed a shot at success in the digital world. • I remember watching her worry that we’d lose her business and our house. In a moment of desperation, she asked her weird :) nerdy 17-year-old son to help her. I built a solution for her. That was Owner V1. When it started to work, I saw my mom transform. She went from being constantly stressed about money to feeling hopeful and excited about her future. The Owner team has now seen that same transformation happen for thousands of small business owners like her. That’s what drives us. • You can think of Owner as Shopify for restaurants—and, eventually, all local business owners. It gives them everything they need to succeed in the online future, in one place. Owner is their website, online ordering, mobile app, CRM. It all works together as one system. • Owner is also continuously optimized with what we learn from the thousands of restaurants and the more than 57 million consumers who have used our platform. It’s the only system designed for one outcome: growing sales profitably. It gives independent owners enough firepower to take on the big corporations, and win. • Shoutout to the great team at @Owner — You deserve the credit for getting us here. I thank God every morning that I get to build Owner with each of you. We wouldn’t be here without you. We have a special team. Each of you represents greatness. • And shoutout to the best cofounder and CTO I could ever ask for, @DeanBloembergen. His work ethic and genius are as impressive as his character. I view partnering with Dean as one of the best decisions I’ve ever made. • I’m proud of Owner today. But I also feel scared that people will see our unicorn valuation and think “we’ve made it.” So let me be brutally clear. We HAVE NOT made it. And if we start to believe we have, we never will. When investors value us at $1B, it’s because they see potential. Our investors see the POTENTIAL for us to build a company worth tens of billions. We have to prove them right. And we must also prove right the thousands of restaurant owners who’ve bet their futures on us. • We’re still underdogs. We still have a long way to go. We didn’t come this far just to come this far. It’s time to move faster, build better, and fight harder! We have millions of small business owners counting on us.

This is one of the smartest marketing campaigns in years Seeing the growing backlash to “AI slop” (empty calories) and associating yourself with deep, cerebral thought (a nutrient-dense full meal) Brilliant positioning

ChatGPT now has higher daily engagement than Snapchat. It's easy to look at this and say, "Wow, that's impressive because ChatGPT isn't a social product." What that misses: ChatGPT actually IS a social product; you're just socializing with a machine, not a human. https://t.co/mncxJq7Xxy

RT @nourish: We’re excited to share that Nourish has raised a $100M Series C, bringing our total funding to $215M 🚀 The round was led by @MenloVentures, with participation from @ThriveCapital, @IndexVentures, @ycombinator, @jpmorgan Growth Equity Partners, Maverick Ventures, @BoxGroup, @atomico, @daybreak_fund, and Operator Partners. Nearly 200 million Americans live with nutrition-related chronic conditions, yet care today is expensive, reactive, fragmented, and doesn't make people healthier. Nourish has built the AI-native metabolic care model to change that - driving the personalized behavior and lifestyle change that deliver real clinical outcomes at a low cost and great patient experience. In just four years, Nourish has grown to 10,000+ Registered Dietitians - the largest in the country - completed millions of appointments, and more than tripled year-over-year. Nourish has partnered with hundreds of the nation’s leading health plans to provide broad access for more than 200 million covered lives. Nourish has tens of thousands of providers from over 250 health systems referring hundreds of thousands of patients to Nourish’s care model. Most importantly, we’re helping patients get healthier: - 8% average weight loss - 1.3-point average A1C reduction - 31-point average LDL reduction - 23-point average systolic blood pressure reduction This next chapter will help us grow our clinical network, accelerate investment in AI agents for patients and providers, continue building a metabolic health clinic centered around real patient outcomes, and deepen partnerships with health plans, employers, and health systems. Thank you to our patients, providers, partners, and team for helping make this possible🧡 Read more here:

RT @sam_kececi: We raised $6.5m to build humanity’s platform for uploaded consciousness. Sentience creates one unique model for every person — a digital twin of your mind — to remember everything, recall what matters, and operate as you. I started this company because I am worried. For the first time, we have intelligence that will fully replace humans across a range of domains within a few years. For those outside of the tech echo chamber, this is a period wrought with confusion and uncertainty about what actually matters anymore. I’ve had numerous conversations with people who aren’t sure if they have any value as a unique human being, or whether their own thinking matters. While Silicon Valley goes full speed ahead towards AGI, many people are left wondering what place they have in this AI future. If I can communicate one thing to everyone out there with these doubts, it would be this: your unique knowledge, memories, and who you are still matter. In fact, these things matter now more than ever. The problem is that the course of AI is heading towards a world where all of us will outsource our thinking to the same one-size-fits-all AI models. This is not a hypothetical future. If 100,000 people ask a question to ChatGPT, every single person gets the same answer. You can see the cost of uniform AI models across writing, social media, and even academic papers. This uniformity is more than annoying – it’s dangerous. There’s a genuine chance that we lose the texture and vibrancy that makes us unique as a species. I founded The Sentience Company to arm real humans against this dystopian outcome. First, your Sentience lets you collect everything that holds context from your life, learning from what you do across every platform – starting on desktop and mobile. Never forget a detail again. Second, your Sentience becomes the best recall engine for everything in your life. Never copy/paste context or search across 50 chrome tabs again. Finally, your Sentience becomes the full simulation of you – an AI model that thinks and acts like you, to scale and share your unique ideas and interact with others. Your Sentience emulates more than your context. It understands your values, emotions, drive, and goals. We’re creating a world where you can leverage your own Sentience model alongside the models of your colleagues and friends to jam on ideas and access their knowledge 24/7. We’re not building Sentience to scale AGI and replace more human thinking. We’re building Sentience to scale you. We’re proud that many amazing humans are supporting our mission. Our round was led by @kevinzhang (@BainCapVC), with participation from @ditzikow, @adityaag, @evantana, @AgrawalArian, @gopalkraman, @JPBrebner (@southpkcommons), @rex_woodbury, @tmrohan, @soleio, @anniecase1, and many more.

Are we sure that Jony Ive isn't Design Scottie Pippen? I'm not convinced you can't throw Naoto Fukasawa or Jasper Morrison on the 2000s Apple team and end up with an equally successful iPhone! I'm just not! Look, Jobs is a Jordan-level talent. Cook is Rodman. Ive? https://t.co/A7PmNHQoDR

Sam Kriss just fixed writing. Not difficultly. Quietly. Like an assassin that dances inside each raindrop and wind blow. This essay isn't just a manifesto, it's a call to arms. "If you let AI do your writing, I will come to your house and kill you." https://t.co/90N3ONseMC

AI Data Centers are the villain du jour, but they are doing god's work, or at least the DoD/NASA's. They are a new buyer somewhere between commercial and governmental Buyer of Capabilities bootstrapping all sorts of new tech down learning curves. https://t.co/bFgzY7hEtt

$7.6trn of capex is going into datacenters in the next 5 years, and this is unleashing buyers of *new* technologies for better infra to deploy in these new sites thank god for datacenters if your first target deployment is in a datacenter, dms are open https://t.co/9HErwMcgxX

This is going to be incredible. David is the reason I started writing, and I love How I Write. He puts so much thought and care into everything he does, and I suspect his show about putting thought and care back into our built world will be the best expression of that yet.

RT @rabois: Provocative post by @rex_woodbury on why NYC is leading geo for building successful AI application startups: https://t.co/UpyEGVVI92

An essay and portfolio company back to back in @tferriss’ 5-Bullet Friday. Great way to head into MDW. https://t.co/fbXD7goxYX

I’m making a TV show! Here’s why: When I was moving to New York, I told my leasing agent that I wanted a place with charm and character. She told me that if that’s what I want, I need to look for apartments built before World War II. “So you’re saying we’ve basically built nothing with charm and character in the past 80 years?” “That’s right.” This is happening all over the world. The same boring and generic style has spread to the entire world. 150 years ago, new buildings in Shanghai looked nothing like the ones in Rome or Tokyo or San Francisco or Buenos Aires. The architecture of each place was as varied as the landscape itself. And it’s not just the sameness of the modern world that has me scratching my head, but also the carelessness behind so much of what’s built these days. We boast about the triumphs of technology and how advanced we are as a civilization, but why has our built environment regressed so much? Shouldn’t we use our wealth to make our streets more charming and delightful? There’s lots of talk about how we’ve polluted the natural world, but what about how we’ve polluted the man-made world? We’ve filled our streets with ugly railings, benches, lampposts, and clutter. We assume these things have to be boring, but they don’t. Good design can make everything, even bins and bus stops, charming. New things can be prettier than old things. The first step is believing it’s possible. Something has changed. We’ve taken a dramatic turn, and the majority of people prefer what we used to build to what we build today. Just look at where people take photos. In New York it’s the steps of brownstones in the West Village; in San Francisco it’s the old Victorian homes; in London there’s tourists galore in front of those iconic red phone booths which remain on the streets, even though they don’t work anymore, because they’re so nicely designed that people like having them there. All this is what inspired me to make a TV show. First: a pilot episode which now has 5.4 million views, 23,000 comments, and 379,000 likes. It also has 241,000 YouTube subscribers from that one video, which is just about unheard of for a new channel. And now: a full-on, six-episode series. But when I pitched Hollywood on the idea, they said cultural series of this sort don’t work: “The only kinds of documentaries that get funded are about sports, music, nature, or true crime.” Huh? How can that be? People are interested in culture. The problem is most culture documentaries are terrible. They fail in one of two ways: (1) people dumb down the ideas in patronizing ways, or (2) people use so much jargon and high-falutin language that it becomes boring and inaccessible. This is why I’m producing this work. It’ll be called The Modern World, and it’ll be a tour of art & architecture through the eyes of Sheehan Quirke, who goes by @culturaltutor. It’s our ambition to do for the man-made world what Planet Earth did for the natural world. To use cinematic imagery and simple language in a way that everybody can understand. And to be rigorous, but not in a way that feels like school or your know-it-all friend who never stops talking. The potential here is huge. Architecture impacts literally every person on earth. What we build shapes the moods of people and the spirit of our culture. We’ll film in six countries (the United Kingdom, Belgium, France, Germany, Italy, and the United States) to produce six 30-minute episodes which we hope to publish on a major streaming service. We’re currently in the fundraising stage, and production begins once we’ve raised the money. It’s our mission to help people see the world more clearly, and in turn, make the world a more charming and delightful place to live in.

This is a great point from @packyM. DC buildouts represent both a demand signal for new capabilities (with steep j-curves) and offtake for scaling physical technologies (derisking capital). We're already seeing DC spend derisk commercial demand for new and existing companies building across American reindustrialization. It's a very encouraging pattern.

RT @kellyjgreer: $7.6trn of capex is going into datacenters in the next 5 years, and this is unleashing buyers of *new* technologies for better infra to deploy in these new sites thank god for datacenters if your first target deployment is in a datacenter, dms are open https://t.co/9HErwMcgxX

RT @oyhsu: This is a great point from @packyM. DC buildouts represent both a demand signal for new capabilities (with steep j-curves) and offtake for scaling physical technologies (derisking capital). We're already seeing DC spend derisk commercial demand for new and existing companies building across American reindustrialization. It's a very encouraging pattern.

Abstract of MediaTek (2454 TT) - Note - New ASIC likely SpaceX 🚀 •Target Price raised to NT$5,520 •Massive ASIC revenue ramp projected:
$2.2bn (2026) → $18bn (2027) → $48bn (2028) •Likely SpaceX Win for new datacenter ASIC. We expect MTK to be the design service provider for xAI’s datacenter ASIC based on Intel 14A + EMIB-T. Volume production late-2028, ramp in 2029 with robust volume. •Zebrafish CoWoS upgraded:
Capacity raised to 180k (from 160k) in 2027. ASP hiked to $5.5k (from $4.5k) → implies $17.8bn datacenter ASIC revenue in 2027E (well above guidance & consensus) •Strong TPU momentum:
Competitor’s PumaFish cancelled → MTK first mover to 2nm (Humufish). High confidence in successor chip (Helios Next) with strong EMIB yields (in out note, we highlighted EMIB has started trials for testing for major current AI chips. Mediatek #TPU #SpaceX #Intel

Taiwan prosecutors suspect that three individuals successfully smuggled at least one shipment of banned Nvidia AI chips to China through Japan https://t.co/HYW53ZRfPj

ABF substrate supplier Kinsus Interconnect said order visibility now extends to 2029, media report, adding it finalized a 3-year capex plan at NT$23.5 billion (US$750M), including NT$8 billion this year, the majority for ABF substrate production, due to the strong AI trend. $NVDA $AMD $INTC #Kinsus #Unimicron #NanYaPCB #Ibiden #ShinkoElectric #Ajinomoto https://t.co/H3UWnLqPIm

Exclusive: Samsung Electronics plans to invest $1.5 billion in Vietnam to build a semiconductor testing plant, its proposal document showed, an expansion that will help ease a global shortage of memory chips driven by surging AI demand https://t.co/5U6ZEmjBH1

IMEC 2026–2041 Semiconductor Roadmap Timeline: Nodes advance from N2 (2026) through A14 (2028), A10 (2031), A7 (2033), A5 (2036), A3 (2038) to A2 (2041). Lithography: Progresses from 0.33 NA EUV (2026) to 0.55 NA High-NA (2028) and 0.75 NA Hyper-NA (2038) CPP Scaling: Contacted Poly Pitch shrinks from 48 nm to 39 nm, enabling continued density gains. Transistor Architecture: Standard cells reduce from 6T → 3T; major shift to CFET, Bonded CFET, and thin-channel (2D) CFET for improved performance and power efficiency. Power Delivery: Frontside and backside networks converge on 3T–3.5T cells with backside signal routing, significantly lowering power consumption and routing congestion. Embedded Memory: Density rises from ~40 Mb/mm² to ~300 Mb/mm²; bandwidth increases from 0.01 TBps/mm² to 2 TBps/mm² via silicon interposers, eRAM, photonics, and integrated voltage regulation.

Rumor: Qualcomm is in talks with a US cloud giant on a custom ASIC project, in addition to the ByteDance project already revealed, DigiTimes reports, adding it has confirmed "more than one" ASIC project. ByteDance is expected to be a big client, millions of units, but questions remain if the deal faces US restrictions on China. $QCOM $TSM #ByteDance #semiconductors https://t.co/2sVD2dektd

CC Wei: Hello everyone, We will distribute the bonus for the first quarter of this year on May 29. I understand that everyone is very concerned about the Q1 profit-sharing result, so we will open the system early tomorrow morning, May 27, so colleagues can check their profit-sharing results when they arrive at work. Thank you all for your efforts and contributions. The overall profit-sharing budget for 1Q26 is expected to grow by about 30% compared with 1Q25. Individual profit-sharing amounts will vary depending on role, grade, seniority, and performance. However, I believe the full-year profit-sharing growth rate this year will also be higher than last year’s growth rate. I understand how much everyone values profit-sharing bonuses, and I have also heard your feedback. Therefore, I have canceled the original business trip plan and will hold a communication meeting tomorrow, May 27, at 10:00 a.m. to explain the situation face to face and answer everyone’s questions. Source: Threads

Nvidia CEO Jensen Huang called Taiwan “the epicenter of the AI revolution” during his trip here, adding Nvidia will soon spend US$150 billion a year buying supplies from Taiwan, up from around $100 billion now and $10-$15 billion a few years ago. Key Quotes Below: "Vera Rubin is the largest product launch, probably in the history of Taiwan. Each one of the Vera Rubin systems consists of almost 2 million parts, and it includes 150 different ecosystem partners here in Taiwan to build it." “The second half of this year is going to be very, very busy with Grace Blackwell, Vera Rubin, and we have a surprise new product that we haven’t told anyone about yet.” “Taiwan has grown significantly over the years…Many years ago we had 10 partners, and then five-years ago maybe 50 partners. Now we have 150 partners, and so it’s good that we celebrate our ecosystem.” "Four years ago, five years ago, Nvidia was spending about $10, $15 billion dollars a year in Taiwan. Now we're spending $100, going to $150 billion dollars in Taiwan each year."-Reuters "Taiwan is the epicenter of the AI revolution. This is where the chips come, packaging comes, this is where the systems are made, this is where AI supercomputers were created. The number of partners we work with here in Taiwan, incredible."-Reuters Nvidia’s Blog and X feed are doing a great job updating his Taiwan trip whereabouts, meetings and more: Blog: https://t.co/JRCFINNafi X feed: https://t.co/2HNhnc4F8l $NVDA $TSM #Foxconn #Quanta #Wistron https://t.co/1W9sgxEwBS https://t.co/bd9whFDb87 https://t.co/IGVNJvKk7A https://t.co/UFm77UPTeu https://t.co/joW0090pfK https://t.co/blUkHcHU9p

Nvidia spending up to $150bn a year on Taiwan AI suppliers: Jensen Huang https://t.co/1kQ5zRBsoR

ABF substrate price hikes sent Unimicron’s April EPS soaring 4,725% to NT$1.85, media report, while April revenue rose 28% year-on-year to NT$13.9 billion, and net profit rose 4,387% to NT$2.8 billion. Strong demand for ABF substrates, used in a range of high end AI chip packages (GPU, TPU, ASIC), has led to a series of price hikes this year and fully booked capacity at Unimicron. $NVDA $AMD $INTC #Unimicron #NanYaPCB #Kinsus #Ibiden #ShinkoElectric #Ajinomoto https://t.co/lNaxxJp2NN

Global DRAM Revenue Surges to Near 100-billion Mark in Q1 2026 Driven by AI Data Center Boom - Counterpoint CXMT is cementing its position as a solid No. 4 supplier with its market share more than doubling to 8%. https://t.co/SE0afXm0Xg

Today Applied Materials announced that SCREEN Semiconductor Solutions Co., Ltd. has joined the EPIC Center as its newest innovation partner. The collaboration will bring together SCREEN SPE’s expertise in wafer cleaning technology with Applied's leadership in materials engineering to develop co-optimized process solutions for the world’s most advanced chips. “The EPIC Center is designed to dramatically accelerate the commercialization of next-generation semiconductor technologies by co-locating and co-innovating with customers and partners across the entire semiconductor ecosystem,” said Dr. Prabu Raja, President of the Semiconductor Products Group at Applied Materials. “SCREEN SPE’s wet etch and surface preparation capabilities are deeply intertwined with virtually every process step in chip manufacturing. By bringing our technologies together at the EPIC Center, we can develop co-optimized process solutions that address the increasingly complex surface engineering challenges our customers face as they push to the next technology frontier.” Learn more: https://t.co/c8XH4eWk1q

Major Taiwan CCL manufacturers Elite Material and ITEQ said they will expand capacity amid soaring demand related to AI, with visibility extending to end-2028, media report, adding AI chips, 800G/1.6T network switches, LEO, and cloud infrastructure are all driving demand for the material used in circuit boards. Demand for high-end materials remains in short supply, and EMC noted high end boards used in AI servers have soared past 80-layers, driving demand for high-speed materials. ITEQ will double capacity for high-end products in 2026. CCL: Copper Clad Laminate https://t.co/8j3XRzy0li

RT @sssjeffpu: Abstract of MediaTek (2454 TT) - Note - New ASIC likely SpaceX 🚀 •Target Price raised to NT$5,520 •Massive ASIC revenue ramp projected:
$2.2bn (2026) → $18bn (2027) → $48bn (2028) •Likely SpaceX Win for new datacenter ASIC. We expect MTK to be the design service provider for xAI’s datacenter ASIC based on Intel 14A + EMIB-T. Volume production late-2028, ramp in 2029 with robust volume. •Zebrafish CoWoS upgraded:
Capacity raised to 180k (from 160k) in 2027. ASP hiked to $5.5k (from $4.5k) → implies $17.8bn datacenter ASIC revenue in 2027E (well above guidance & consensus) •Strong TPU momentum:
Competitor’s PumaFish cancelled → MTK first mover to 2nm (Humufish). High confidence in successor chip (Helios Next) with strong EMIB yields (in out note, we highlighted EMIB has started trials for testing for major current AI chips. Mediatek #TPU #SpaceX #Intel

RT @OmerCheeema: IMEC 2026–2041 Semiconductor Roadmap Timeline: Nodes advance from N2 (2026) through A14 (2028), A10 (2031), A7 (2033), A5 (2036), A3 (2038) to A2 (2041). Lithography: Progresses from 0.33 NA EUV (2026) to 0.55 NA High-NA (2028) and 0.75 NA Hyper-NA (2038) CPP Scaling: Contacted Poly Pitch shrinks from 48 nm to 39 nm, enabling continued density gains. Transistor Architecture: Standard cells reduce from 6T → 3T; major shift to CFET, Bonded CFET, and thin-channel (2D) CFET for improved performance and power efficiency. Power Delivery: Frontside and backside networks converge on 3T–3.5T cells with backside signal routing, significantly lowering power consumption and routing congestion. Embedded Memory: Density rises from ~40 Mb/mm² to ~300 Mb/mm²; bandwidth increases from 0.01 TBps/mm² to 2 TBps/mm² via silicon interposers, eRAM, photonics, and integrated voltage regulation.

RT @Reuters: Exclusive: Samsung Electronics plans to invest $1.5 billion in Vietnam to build a semiconductor testing plant, its proposal document showed, an expansion that will help ease a global shortage of memory chips driven by surging AI demand https://t.co/5U6ZEmjBH1

RT @Applied4Tech: Today Applied Materials announced that SCREEN Semiconductor Solutions Co., Ltd. has joined the EPIC Center as its newest innovation partner. The collaboration will bring together SCREEN SPE’s expertise in wafer cleaning technology with Applied's leadership in materials engineering to develop co-optimized process solutions for the world’s most advanced chips. “The EPIC Center is designed to dramatically accelerate the commercialization of next-generation semiconductor technologies by co-locating and co-innovating with customers and partners across the entire semiconductor ecosystem,” said Dr. Prabu Raja, President of the Semiconductor Products Group at Applied Materials. “SCREEN SPE’s wet etch and surface preparation capabilities are deeply intertwined with virtually every process step in chip manufacturing. By bringing our technologies together at the EPIC Center, we can develop co-optimized process solutions that address the increasingly complex surface engineering challenges our customers face as they push to the next technology frontier.” Learn more: https://t.co/c8XH4eWk1q

RT @NikkeiAsia: Nvidia spending up to $150bn a year on Taiwan AI suppliers: Jensen Huang https://t.co/1kQ5zRBsoR

RT @business: Taiwan prosecutors suspect that three individuals successfully smuggled at least one shipment of banned Nvidia AI chips to China through Japan https://t.co/HYW53ZRfPj

RT @harukaze5719: Global DRAM Revenue Surges to Near 100-billion Mark in Q1 2026 Driven by AI Data Center Boom - Counterpoint CXMT is cementing its position as a solid No. 4 supplier with its market share more than doubling to 8%. https://t.co/SE0afXm0Xg

RT @semivision_tw: CC Wei: Hello everyone, We will distribute the bonus for the first quarter of this year on May 29. I understand that everyone is very concerned about the Q1 profit-sharing result, so we will open the system early tomorrow morning, May 27, so colleagues can check their profit-sharing results when they arrive at work. Thank you all for your efforts and contributions. The overall profit-sharing budget for 1Q26 is expected to grow by about 30% compared with 1Q25. Individual profit-sharing amounts will vary depending on role, grade, seniority, and performance. However, I believe the full-year profit-sharing growth rate this year will also be higher than last year’s growth rate. I understand how much everyone values profit-sharing bonuses, and I have also heard your feedback. Therefore, I have canceled the original business trip plan and will hold a communication meeting tomorrow, May 27, at 10:00 a.m. to explain the situation face to face and answer everyone’s questions. Source: Threads