Compounding Capital

@UtdMaI 🤣🤣🤣

I’m genuinely desperate for Lionel Messi to retire so I can finally enjoy a World Cup without feeling like FIFA is bending over backwards to hand it to him. The bias feels so blatant at times it’s actually disgusting.

HEAR ME OUT. Robotics will be one of the biggest investment themes of the next decade. Everybody knows the trend. But most investors are still looking at the wrong stocks. Here are my Top 5 robotics plays: 1. $AEVA A 4D LiDAR sensing technology developer for automotive, robotics and broader Physical AI applications. Revenue growth is exploding, with multiple future quarters expected above +90% YoY. Among other things $AEVA is backed by NVIDIA, Daimler Trucks or Airbus.

THE 5 BIGGEST BOTTLENECKS POWERING THE AI ECONOMY The way I'm thinking about AI winners today is that the market is moving beyond the simple question of which mega-cap company spends most on AI and has been rewarding the companies that control the scarce inputs, contracted capacity, data movement, power infrastructure, edge compute and workflow layers that make the AI economy function. These are the five bottlenecks I'm watching most: • Memory | $MU, Samsung, SK Hynix Memory is the clearest scarce input because HBM feeds the accelerator, only a few companies can make it at volume and buyers are locking in supply through long-term agreements that create revenue visibility through the end of the decade. • Connectivity | $AVGO, $MRVL, $ALAB, $CRDO, $AAOI, $ANET Connectivity determines whether AI clusters can move data fast enough because training runs span tens of thousands of chips that need to act like one machine. Once copper runs out of reach that causes the cluster depends on optics, retimers, switches and custom silicon to keep the system moving. • Power | $CEG, $VST, $GEV, $FPS, $VRT, $NVTS, $TLN, $ON Power determines whether new AI data centers can actually come online because the binding constraint is shifting from getting chips to getting megawatts so the value flows to the companies that control generation, grid equipment, power delivery, thermal management and efficiency. • Compute | $NBIS, $CIFR, $IREN, $APLD, $WULF, $CORZ, $CRWV Compute capacity is overflow layer when hyperscalers are sold out. Capital alone doesn't guarantee GPU access which is why buyers are signing multi-year contracts for clusters before they are even fully built. • CPU | $NVDA, $AMD, $INTC, $ARM, $QCOM On-device CPU (edge compute) becomes next bottleneck as AI moves into inference, agents, PCs, phones, vehicles and physical devices.

@InvestingVisual $GOOGL

Who's you're favorite: $GOOGL or $MSFT?

It’s kinda funny how the targets for $BTC keep getting lower and lower. Just a natural part of literally every single cycle. At $120K, people said they'd be begging to buy below $100K At $94K, they said they'd load up if we revisited the $80K swing low. Then at the $83K highs, they swore they'd buy the sweep at $60K if it happened again. People keep lowering their targets until the market eventually front runs them. Trust me, you do not want to be underexposed this cycle. The unrealised PnL of particpants is sitting in extreme red. I'm pretty sure you know what that means.

This is the best city in North America:

@amitisinvesting Lmao

$WEN Wendy’s is up 20% overnight as the stock is going viral on r/WallStreetBets. The most viral post wrote this as their thesis: “My fellow regards. We need to save Wendy’s before it’s too late. If this company goes bankrupt, we’ll all be out of a job!”

$TSM is reportedly raising foundry prices by 5–10% on advanced nodes of 7nm and below. Hard to call AI demand weak when the world’s most important foundry can still push price on the capacity that drives ~75% of wafer revenue.

Nancy backing my $UBER inclination is telling. May need to initiate a position

With crude oil now below $70 a barrel inflation pressures should ease This would in turn increase the likely hood of rate cuts being back on the table

$MU Absolutely SMASHED Q3 earnings: • Revenue: $41.46B vs $35.59B • Adj. EPS: $25.11 vs Est. $20.60 • Net Income $33.7B vs Est. $23.9B Q4 guidance: • Revenue: $50.0B vs Est. $42.92B • Adj. EPS: $31.00 vs Est. $25.50 • Gross Margin: 86%

$MU Earnings make it seem the cycle is far from over

The runway for memory still has a very long way to go. Memory per $NVDA GPU generation: • H100: 80 GB • Rubin: 288 GB • Rubin Ultra: 1000 GB $MU, $HYNIX, and $SMSD

A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Markets were under pressure today, with the S&P $SPY down ~1.5%, largely due to a sharp selloff in South Korea. The KOSPI fell 9.9%, its worst day since March, as fears grow around potential taxes on unrealized stock gains, heavy retail leverage, and volatility in popular names like $SPCX. The move is also weighing on U.S. memory stocks ahead of $MU earnings, while renewed rate-hike fears from BofA are adding more pressure. 2. Google $GOOGL is replacing Verizon $VZ in the Dow Jones Industrial Average, adding another mega-cap tech name to the historic index. Google now joins Amazon $AMZN, Apple $AAPL, Microsoft $MSFT, and Nvidia $NVDA as Mag 7 companies included in the Dow. 3. U.S. home prices rose 0.3% MoM in May, the fastest monthly gain since January, and 2.5% YoY, the fastest annual growth in six months, per Redfin. Redfin said the increase reflects deals signed in April, when mortgage rates fell and demand improved. Closed home sales also reached their highest level since 2022 in May. 4. Meta $META is reportedly working on a standalone prediction markets app internally called Arena, per NYT. Zuckerberg directed a small team to build the app after the rise of Polymarket and Kalshi, with users likely predicting outcomes using game-like points instead of money at launch. Meta has not ruled out real-money betting later, and NYT says the company could leverage Facebook, Instagram, WhatsApp, and Messenger to scale the product, though the project remains experimental and may never launch. 5. BofA raised its 2030 global semiconductor $SMH TAM forecast to $2.7T, up from $2.3T, saying AI could drive the next $1T in chip sales over the next five years. The firm continues to see AI as the biggest growth engine for the semiconductor industry. 6. More than 6M U.S. children have been enrolled in Trump Accounts ahead of the program’s July 4 launch, according to Treasury. Around 1.4M of those children qualify for the $1,000 Treasury seed contribution. 7. Palantir $PLTR and Zeta $ZETA announced a strategic partnership to build AI infrastructure for enterprise marketing. Zeta’s Data Cloud will be rearchitected on Palantir Foundry, combining governed enterprise data with Zeta’s AI decisioning platform to connect operational intelligence, customer intelligence, and real-time marketing execution. Zeta says the partnership could drive more than $100M in annual revenue in the coming years, creating a trusted platform for agentic marketing and faster, measurable business outcomes. 8. SoftBank’s Masayoshi Son pushed back on Elon Musk’s $SPCX orbital data center vision, arguing the AI race will be won with compute built on Earth. Son said SoftBank is focused on building “formidable” data center capacity, adding that “he who strikes first wins.” While he called Musk a “remarkable agent of change,” Son said space-based data centers face major challenges around launch, maintenance, and communication costs. 9. Rakuten Group is teaming up with AST SpaceMobile $ASTS to form a satellite-to-cell joint venture in Japan. The new JV, expected to be created this year, will purchase and operate satellites to deliver direct-to-mobile coverage, with Rakuten bringing its Japanese telecom footprint and AST providing the satellite infrastructure. The move puts Rakuten and AST in direct competition with SpaceX’s Starlink, which already offers satellite-to-cell service through carrier partnerships. 10. Taiwan’s AI stock frenzy is starting to look like a “buy anything and it goes up” market. The country’s stock market is up 100%+ over the past year, overtaking the UK, Canada, and India to become the world’s fifth-largest equity market. But leverage is flashing warning signs: margin debt tied to stock purchases has jumped 160% in 12 months, nearing pre-2000 crash levels, while brokers are raising rates, demanding more collateral, and stock-trading defaults have more than doubled in June to over NT$2B. 11. GameStop $GME said Ryan Cohen asked the board to remove his proposed CEO Performance Award from the proxy statement as the company focuses on its proposed acquisition of eBay $EBAY. GameStop submitted a non-binding offer to buy eBay for $125/share in cash and stock, while currently owning 4.34M eBay shares and holding option exposure to another 39.05M shares. The HSR antitrust waiting period was satisfied on June 3. 12. Cerebras $CBRS reported Q1 revenue of $193.4M, up 94% YoY and ahead of the $181.4M estimate. The company also raised its FY26 revenue outlook to $855M–$865M, above the $824.8M estimate, and announced major AI infrastructure wins, including a $20B+ OpenAI deal for 750MW of inference compute and a multi-year AWS inference partnership. WALL STREET IS THE GREATEST SHOW ON EARTH.

$SPCX How long before the highs are revisited?

$GOOGL ADDED TO THE DOW JONES INDUSTRIAL AVERAGE

@newreyreal2 Zero ball knowledge

No disrespect but this Argentina team cannot compete with Spain and France, Messi is the X factor and once you shut him down, Argentina quality decreases by a lot

@getnickwright He’s far better than Pele. No ones ever been close and no one will ever get close

This 🐐 said he was retiring *3 World Cups ago*. There’s simply never been anyone like him since Pelé, and he might just be the best there’s ever been.

@damzychillin Ronaldihno

Osumane Dembele, and Lionel Messi aside, Name a player who’s won all three trophies. Extremely hard🥷

@damzychillin Zidane