$OUST

Ouster

first mention in our archive Mar 2, 2026 · latest today

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@blackpanthercapMay 27, 2026 · 5:17 PM

> Short-term portfolio: +200% YTD. > Long-term portfolio: +75% YTD. +1K new followers since yesterday. We just hit 25K followers. Amazing! This 2-minute post will save you from the herd and make you generational wealth: The market doesn’t crash; it rebalances. It systematically strips capital from the emotional and transfers it to the analytical. If you’re scared of "bubbles," you’re looking at the wrong metrics. Here is why the bears are wrong. 1/6 - Hard Money Reality Stop measuring your success in debased fiat. Measure in Gold. At a 0.009 ratio, the S&P 500 isn't "bubbly", it’s arguably at a generational entry point. We are 75x below the 1966 valuation peak. This isn't a top; it’s a coiled spring. 2/6 - The 50-Year Truth Look at the 50-year trend. It’s a straight line up, disguised by periodic panic. Every "catastrophic" dip on this chart was a gift to the patient. While the crowd sells into fear, the alpha-player accumulates. Time in the market > Timing the market. 3/6 - Bubble vs. Boom (The Alpha Metric) Stop calling every vertical chart a "bubble." Bubble (Cisco): Price decoupled from reality. Pure speculation. Boom ($NVDA): Price is simply tagging along with explosive earnings growth. Fundamentals dictate the trend. If earnings support the price, it’s not a bubble, it’s a compounding machine. 4/6 - The Takeaway The FUD is noise. The math is signal. We aren't in a bubble; we are in a valuation disconnect. When the nominal price looks high but the hard-money ratio hits multi-decade lows, you stop asking if it’s time to sell and start asking how much more you can buy. 5/6 - Final Note Yes, we will see dips. Trying to ‘time market’ compared to ‘buy and hold’ underperforms. Missing the best 10-50 days in a period often turns strong returns into flat or negative ones. Real investors attempting timing lag the index by 1-6% annually due to missed rallies, transaction costs, and behavioral errors. Perfect foresight is required for outperformance; imperfect timing reliably destroys compounding. Buy-and-hold captures the long-term equity premium shown in the 50-year chart. 6/6 - A Word of Gratitude We’ve now reached 25,000 in this community in six months. The scale exceeds what I imagined in the beginning. I’m truly grateful for every person who supported and sustained the community through that period. The collective presence created this result. Thanks for being here and showing your support. I’ll never take that for granted. -BP Please note, as always: this is not financial advice.

@blackpanthercapMay 26, 2026 · 3:16 PM

Everyone is chasing $SIVE or looking for the next $AEHR or $AXTI. I think I found it… Not one. But two. Both sitting at the exact chokepoint. This is maybe my favourite trade ideas the market hasn’t priced yet: CONSTRAINT 1: HBM inspection AI chips are not a single piece of silicon. A modern $NVDA GPU is a stack. A logic die at the bottom. Four to eight HBM memory dies bonded on top. Each memory die connected to the next through thousands of through-silicon vias, copper pillars drilled through the chip itself. Then that entire memory stack gets attached to the logic die through thousands more micro-pillar interconnects. Each pillar is smaller than a human hair. One defective pillar. One. That’s all it takes to kill a $40,000 AI GPU package. No buffer. No workaround. The whole unit is scrap. And here’s the constraint that makes this critical right now: HBM supply is sold out through at least 2027. No significant new capacity comes online until late 2027. There is no spare capacity. Every die that gets made needs to reach a GPU. A defect found late in the process isn’t a minor setback, it’s a $40,000 unit written off with nothing to replace it. So the industry doesn’t sample-inspect HBM stacks. It performs 100% INSPECTION. Every device. Every pillar. Every generation. As HBM advances from HBM3e to HBM4, the die gets larger, the micro-pillar density increases, and the inspection requirement becomes more complex, not less. There is one company with qualified equipment for this job at a leading US memory manufacturer. $COHU - Cohu Inc. Their Neon platform performs full 6-sided optical inspection of every HBM device using proprietary AI-trained software, defect recognition trained specifically on each customer’s device architecture. You can’t buy a competitor’s system and retrain it in a quarter. The switching cost is measured in years. The numbers: → $488M cash. No dilution risk. → Orders up 163% year-over-year Q1 2026 → $750M pipeline. 5 customers in active qualification. → HBM revenue guidance raised from $15M to $80–100M in a single year The market is pricing this as a test equipment cycle recovery. The correct frame: the only qualified inspection bottleneck in the HBM supply chain. Test equipment multiple: 3–4x EV/Revenue. AI infrastructure bottleneck multiple: 7–10x. CONSTRAINT 2: Silicon photonics fabrication Copper wires are hitting their physical limit inside AI data centers. Moving data between GPUs at the speeds AI training requires generates heat, signal loss, and power draw that copper interconnects can no longer handle efficiently. The industry’s answer is silicon photonics, lasers built directly onto chips, transmitting data as light instead of electrons. Co-packaged optics (CPO) embeds those lasers directly into AI switches. Forecast penetration: from near-zero today to 35% of all optical networking by 2030. Every one of those lasers is grown using a process called molecular beam epitaxy; MBE. A process that deposits semiconductor materials one atomic layer at a time, under ultra-high vacuum, with tolerances measured in atoms. The problem: the entire industry’s MBE infrastructure was built for 150mm and 200mm wafers. Silicon photonics runs on 300mm production lines, the same wafer size used in leading-edge logic fabs. There was no MBE system compatible with 300mm production lines. Until $ALRIB built one. Meet ROSIE; Riber Oxide on Silicon Epitaxy is the first MBE platform engineered specifically for 300mm silicon photonics production lines. No other equipment company makes this. The first two systems were ordered in 2025. ROSIE 2 the dual-chamber production version, goes into manufacturing in 2026. This is Year 0 of the ramp. Analyst consensus price target: €6. Current price: €15+. The gap exists because analysts are modeling Riber as a €40M scientific instruments company. Not one single sell-side model contains ROSIE as a separate revenue line. Silicon photonics is a $17B market by 2035. Riber’s current revenue: €40M. Market cap: €320M (~$340M USD). If ROSIE becomes the production standard for 300mm silicon photonics the way MOCVD became the standard for LED manufacturing, the revenue trajectory and the multiple both re-rate from here. Two constraints. Two chokepoints. One sits between every HBM die and every AI GPU that ships. The other is the only equipment that can grow the lasers replacing copper in AI infrastructure. Both are being priced on the wrong metrics. The market finds them eventually. This is not financial advice. Do your own due diligence. For full disclosure I haven’t taken a position myself, yet. They are both on my watchlist. I'm considering adding one of them to mmy short-term portfolio. $ALRIB looks like the most asymmetrical setup. A potential ten-bagger. $COHU the more safe-play. 3-5X. A potential $OUST look a like setup. @ParadisLabs any thoughts? I can’t call out @aleabitoreddit since I’m blocked, apparently. I'm also curious on other great investors perspective here: @moninvestor @Kaizen_Investor and @daniel_koss -BP

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@thevalueistMay 23, 2026 · 4:54 PM

$OUST Ouster: The Transition to a Physical AI Sensing Platform, and Investment Thesis. Ouster has moved deliberately beyond its identity as a lidar hardware manufacturer. The StereoLabs acquisition and the shift toward software-attached solutions — BlueCity for smart infrastructure analytics and Gemini for perception software — represent a coherent attempt to move up the value stack and reduce dependence on hardware margin cycles. The Rev8 product cycle adds a hardware refresh that supports the platform narrative, but the more important transition is whether software-attached revenue becomes a durable and growing portion of the mix. Revenue growth has been strong, and the balance sheet has improved. The profitability picture requires closer reading — recent earnings were supported by one-time royalty payments, which means the underlying product-led margin trajectory is not yet fully visible in the reported numbers. That distinction matters for how the path to sustained operational leverage gets evaluated. The royalty contribution needs to be disaggregated from core gross margin to understand whether the business is actually progressing toward the unit economics a platform multiple requires. Chinese competition is the structural headwind that sits behind every lidar investment thesis. Cost pressure from domestic Chinese suppliers has compressed hardware pricing across the industry, and Ouster's response — moving toward software differentiation and sensing platform positioning — is the right strategic response. Whether it's fast enough to stay ahead of commoditization at the hardware layer is the open question. The valuation reflects platform optionality rather than current earnings, which means execution consistency is what the stock is trading on. High multiples in hardware-adjacent businesses are difficult to sustain through product transitions, and the gap between the current financial profile and what the valuation implies requires a clean execution runway across hardware ramp, software attach, and margin improvement simultaneously. Founder-led management is a credibility asset in a technically demanding space. The strategic vision behind the physical AI platform positioning is well-constructed, and the acquisition of StereoLabs demonstrates willingness to make bold moves to accelerate the transition. The remaining work is operational — converting the platform narrative into recurring, high-margin revenue that doesn't depend on one-time items to make the profitability case.

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@investmentguru_May 16, 2026 · 2:53 PM

Play to watch in Physical AI 🤖 Robotics & Automation Humanoids, service robots, warehouse bots, field robotics Core Platforms & Robotics Builders $TSLA – Optimus humanoid platform $XPEV – Humanoid robotics + autonomy $HYMTF – Advanced humanoid R&D $RR – Service & field robotics $SERV – Last-mile delivery robots Warehouse & Logistics Automation $SYM – AI-powered warehouse robotics $AMZN – World’s largest robotics deployment $ZBRA – Vision, tracking, automation infrastructure 🚗 Autonomous Vehicles AI that drives, navigates, and makes real-time decisions Autonomy & Driving Intelligence $TSLA – Full-stack autonomy $XPEV – AI-driven autonomous driving $MBLY – Vision-based autonomy platform $QCOM – Edge AI compute for vehicles Perception for Autonomy $INVZ – Automotive LiDAR $LAZR – Long-range LiDAR $OUST – Digital LiDAR $ARBE – 4D imaging radar 🏭 Smart Factories Industrial robots + AI-driven production systems Industrial Robotics & Control $ABB – Industrial robots & automation $TER – Collaborative robots (cobots) $HON – Industrial controls & sensing $ROK – Factory software & automation Manufacturing Intelligence $PATH – Process automation bridging digital → physical $PLTR – AI-driven industrial decision orchestration 🏥 Healthcare Precision, repeatability, and high-margin Physical AI Medical Robotics & Surgical Systems $ISRG – da Vinci surgical robotics leader $PRCT – Next-gen robotic surgery $SYK – Robotic surgical instruments $MDT – Robotic-assisted medical devices 🛰️ Defense & Space Autonomous systems in high-risk, high-complexity environments Autonomous Defense Platforms $AVAV – Unmanned aerial systems $RCAT – Autonomous drones $UMAC – Tactical autonomous vehicles $ONDS – Secure AI communications Field, Extreme & Space-Adjacent Robotics $OII – Subsea robotics & offshore autonomy $FARO – 3D sensing, mapping & inspection $RR – Robotics for extreme environments 🧠 Foundational Layer (Powers All Categories) Brains behind Physical AI $NVDA – AI compute backbone $AVGO – Custom silicon + AI networking $QCOM – Edge AI processing Physical AI isn’t one sector. It’s a stack deployed across five massive industries, each monetizing autonomy in different ways. Most capital is still chasing software AI. Robotics + real-world deployment is the next leg. Not a financial advice, Like and share if you like .

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@blackpanthercapMay 14, 2026 · 4:47 PM

🚨THE BEARS HAVE BEEN WRONG ABOUT THE SAME THING FOR THREE YEARS. And they’re about to be wrong again. Morgan Stanley just raised their S&P 500 target to 8,300. Year-end 2026 target: 8,000. Twelve-month target: 8,300. Over 12% upside from current levels around 7,400. But here’s the line that matters most: “Our bullish index view is an earnings story, not a multiple expansion one.” Read that again. EARNINGS. > 83.2% of S&P 500 companies beat Q1 estimates. > Morgan Stanley projects $339 EPS for 2026. That’s 23% growth, followed by $380 in 2027 and $429 in 2028. A compounding earnings machine. Not a bubble. Now let me show you what the bears keep getting wrong. There’s a clip making the rounds right now. A guy pulls up two charts side by side. > Left chart: The dot-com era. Price ripping higher. Earnings flatlined. Pure narrative. Pure multiple expansion. Pure speculation. > Right chart: Right now, 2023-2026. Earnings are LEADING price. AI and semiconductors are driving actual profits. Price is still CATCHING UP to the gray line. His point? We’re not in a bubble. We’re in the middle of an earnings cycle that hasn’t fully repriced yet. He’s right. $MU, $SNDK, SK Hynix and Samsung, 75% of the $DRAM market are proof. These are companies printing money faster than analysts can revise targets upward. > The memory supercycle isn’t priced in. > The AI infrastructure buildout isn’t priced in. The earnings are real and the multiples are still compressing INTO the growth. The dot-com bubble was speculation in search of earnings. This is earnings in search of a price that can catch up. There’s a massive difference. So where does the money go? $SPY and $QQQ as a passive bet + into the infrastructure that’s CAUSING the earnings surge. Here’s where I’m positioned: → $IREN → $NBIS → $CIFR → $AAOI → $SIVE → $RKLB → $OUST → $PENG → $ONDS → $KRKNF Every single one of these names sits inside the structural AI buildout that’s driving the future earnings Morgan Stanley just upgraded their entire index outlook for. HERE’S THE MACRO SETUP Morgan Stanley explicitly ties their revised outlook to AI adoption enhancing operating leverage across the S&P 500 and a rolling earnings recovery that continues to progress. This isn’t a macro call. This is a capital allocation call. The earnings cycle is real. The infrastructure buildout is real. The defense spending acceleration is real. $QQQ and $SPY tell you the tide is coming in. The names above tell you which boats rise the most. The dot-com bubble was price without earnings. This is earnings without price. The gray line hasn’t been touched yet. We’re mid-cycle. Act accordingly. Still long. Still adding. Still building. -BP Please remember: This is not financial advice. Do your own research. I hold positions in many of the names mentioned.

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@blackpanthercapMay 13, 2026 · 3:33 PM

PORTFOLIO UPDATE If you followed me this year, your short-term portfolio is up 125%. Your long-term book is up 55%. I don’t use options, calls, leap, short e.g. The $SPX has spent most of 2026 trying to figure out what it is. We have not. WHY I SHOW UP EVERY DAY 1st January I had 1,207 followers. Today we are approaching 23,000. No subscription. No paid community. No X payout. No product. Just showing up every day and doing the work. I made a pact with my daughter to show up every single day. To show her what consistency actually builds. Not in theory. In real time, with a number she can watch move. I have a good job. I don’t need to monetize this. What I need is to show her what happens when you commit to something and don’t quit. By EOY, I want her to see 50K on that number. I’m still far from it. I also know how FAST that can change when the content connects and the market moves. So I keep going. @Sandeman52 is someone I think about here. He built something real without noise. That’s the benchmark. I’m here for the stocks, the connection, and the game. Everything else is secondary. LONG-TERM PORTFOLIO Eight positions. All structural. Sold $AMPX today with 30% profit. Added to my positions in $KRKNF, $OUST and $ONDS $RKLB: +83% | 18.51% of port. $NBIS +142% | 17.09% of port. $IREN +55% | 13.61% of port. $AAOI +113% | 12.11% of port. $OUST +39% | 11.60% of port. $CIFR +42% | 10.41% of port. $KRKNF -17% | 9.14% of port. $ONDS -1% | 7.52% of port. SHORT-TERM PORTFOLIO: $PENG +10% | 66.1% of port. $SIVE +98% | 33.9% of port. HOW I SEE THE REST OF 2026 Three forces are running the tape: 1. The AI tsunami is still in the first inning. Only 1% of companies consider themselves mature AI users. Over 92% plan to increase AI investment. McKinsey estimates cumulative US data center spending alone will reach $5 trillion by 2030. That capital is already committed. The infrastructure phase is being priced. The productivity phase hasn’t arrived yet. The application phase is after that. I don’t see a dot-com bubble. The dot-com companies burned cash on speculation. The companies in this cycle have real revenue, real backlog, and real physical constraints that large capital cannot route around. 2. Political trade has replaced free trade. This is the structural shift most retail investors are still underweighting. Real technology, real projects, real contracts. Political decision in Washington and repriced overnight. That is the new operating environment. Capital allocation now has a new first-order variable: political geography. Which government wants this to succeed? The US-UAE AI Acceleration Partnership, $1.4 trillion committed, sovereign wealth choosing the US as the headquarters of the next industrial era, is the clearest current signal. Political trade creates volatility in names exposed to the wrong jurisdiction. It creates structural advantage for names embedded in the right one. 3. The economy is shifting from consumption-driven to production-driven. The post-WWII consumer economy ran for 80 years on demand expansion. What is building now is a production expansion cycle, driven by onshoring, defense spending, AI infrastructure, and energy security. The companies that build, enable, or supply that production cycle are not being valued for what they are today. They are being valued for what the production economy needs them to be in 2028 and beyond. That is what this portfolio is built on. MY POSITIONING FROM HERE I expect more volatile than consensus expects. Full of buying opportunities for anything with hard assets and contracted revenue. Adding on dips. Not selling on headlines. The three forces above are not quarterly variables. They are decade-long structural shifts. Volatility between now and December is the mechanism that creates the next entry points or DCA opportunities. YTD +55% long-term. +125% short-term. And the cycle has barely started. -BP Note: This is not financial advice. I hold positions in all tickers mentioned.

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@kaizen_investorMay 1, 2026 · 3:10 PM

The rating of my current holdings according to this framework. $GOOGL: 97/100 Alphabet’s management operates with relentless execution and immense capital discipline. While the sheer, absolute dollar magnitude of their stock-based compensation remains staggering, their aggressive share repurchases, strict strategic focus on monetizing AI infrastructure, and transparent, data-backed communications make them elite operators who are successfully defending one of the largest economic moats in existence. $FTC: 96/100 Filtronic’s management team under CEO Nat Edington demonstrates an exceptional, almost robotic level of operational execution and capital discipline. By leveraging their core RF and mmWave competencies to secure and execute massive, binding contracts in the LEO space and defence sectors, management has consistently over-delivered on guidance without diluting shareholders, reflecting the highest tier of corporate integrity and competence. SK Hynix: 93/100 SK Hynix’s management team operates with absolute, ruthless operational efficiency, cementing a near-monopoly in the highest-margin sectors of the AI hardware supply chain. While their corporate governance reflects a traditional Korean chaebol structure—meaning individual executives hold virtually zero personal equity—their technical execution, capital discipline, and balance sheet mastery currently represent the gold standard in the global semiconductor space. $ASM.AS: 92/100 ASM International’s management team demonstrates exceptional execution, operational visibility, and capital discipline. While lacking the high insider ownership typical of aggressive, founder-led companies, their pristine balance sheet, brutally accurate multi-year financial forecasting, and active share buyback programs firmly establish them as highly trustworthy stewards of shareholder capital. $OUST: 90/100 Ouster, Inc. (OUST) presents a rare profile in the pre-profit / early-commercialization hardware space: a management team that actually executes on its roadmaps. Led by CEO Angus Pacala, the company has demonstrated strict operational discipline, successfully commercializing its digital lidar technology while maintaining a fortress balance sheet. While historical share dilution from strategic M&A requires monitoring, management’s transparency regarding one-time revenue events and their consistent delivery of hardware margins earn them an elite rating. $PL: 89/100 Planet Labs (PL) is a rare anomaly in the high-growth space: a former SPAC that actually survived its cash-burn phase and successfully transitioned into a free-cash-flow-generating enterprise. While management's equity compensation remains slightly elevated, their exceptional track record of launching highly complex hardware on schedule and their disciplined, jargon-free focus on securing massive government contracts demonstrates supreme execution and integrity. $MRVL: 88/100 Marvell’s management team operates with high technical competence and ruthless strategic clarity, successfully transforming the company from a broad-based silicon provider into a highly focused AI data center powerhouse. While management has faced cyclical headwinds in legacy segments that triggered some guidance volatility, their ability to aggressively hit engineering milestones for custom AI silicon and responsibly manage capital allocation reflects elite, tier-one execution. $PLTR: 87/100 Palantir Technologies (PLTR) features a visionary, high-conviction management team that consistently executes on commercial expansion and product delivery at a scale few enterprise software companies can match. While their aggressive stock-based compensation and slight equity dilution trigger mechanical deductions, their ability to drastically over-deliver on forward guidance and perfectly align capital deployment with their core Artificial Intelligence Platform (AIP) establishes them as elite operators. $TMDX: 87/100 TransMedics Group (TMDX) possesses an elite, execution-focused management team that has successfully transformed the company from a capital-intensive med-tech startup into a vertically integrated, cash-flowing logistics and clinical powerhouse. While minor deductions are warranted for recent share dilution and stock-based compensation levels, management’s flawless delivery on ambitious infrastructural timelines and mathematically transparent communication earn them near-maximum trust. $HIMS: 85/100 Hims & Hers Health, Inc. (HIMS) is operated by an aggressively competent management team that has successfully transitioned from a cash-burning SPAC into a highly profitable, cash-flowing entity. While historical share count expansion requires ongoing scrutiny, their ability to execute against stated timelines, beat forward guidance, and seamlessly expand their core direct-to-consumer moat into highly lucrative verticals borders on clinical precision. $RKLB: 79/100 Rocket Lab (RKLB) boasts a highly accountable, founder-led management team that excels in strategic focus and transparent communication, successfully transitioning the company into a space systems and defense prime contractor. While the persistent delays of their heavy-lift Neutron rocket require notable deductions, the company’s ability to consistently meet financial guidance and maintain technical integrity makes them a standout in the capital-intensive aerospace sector. $AMPX: 75/100 Amprius Technologies’ management team exhibits high-level execution regarding product iteration and revenue growth, but this comes at a severe cost to retail equity holders. While the team successfully transitioned the company toward profitability by ruthlessly pivoting to a fabless contract-manufacturing model, their aggressive share dilution and the quiet abandonment of their flagship domestic manufacturing plans reveal a management team that prioritizes survival and top-line growth over pristine shareholder alignment. $FLNC: 73/100 Fluence Energy (FLNC) presents a complex profile of elite financial backing and strong insider alignment, severely undercut by chronic project execution issues and lumpy guidance misses. While management operates with a fortress balance sheet and refuses to artificially pump the stock with trending AI buzzwords, their inability to consistently defend gross margins and deliver predictable quarterly revenues makes them a volatile, high-risk operator in the utility-scale energy storage sector. $IREN: 35/100 IREN (formerly Iris Energy) presents as a highly promotional, capital-intensive infrastructure play that relies heavily on retail shareholder dilution to fund its shifting ambitions. While management has successfully secured impressive debt financing and massive power capacities, their chronic inability to hit original timelines, massive expansion of the share count, and blatant narrative pivot from Bitcoin to Artificial Intelligence reflect a team that prioritizes growth at the direct expense of shareholder equity.

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@blackpanthercapApr 21, 2026 · 5:06 PM

→ PORTFOLIO UPDATE & REFLECTIONS: The numbers first. YTD: +40% 1 Year: +157% Max: +129% The $SPX is 'almost' flat on the year. The Nasdaq just snapped a 13-day winning streak. Markets are at all-time highs while Iran peace talks teeter on collapse and oil still moves on every headline. I want to talk about what's actually happening. THE LONG VIEW & WHERE THE US IS REALLY GOING: This is the part most portfolio updates skip. They focus on the next quarter. I want to talk about the next decade, because that's what this portfolio is actually built on. We are not in a normal market cycle. We are in the early innings of a genuine industrial transformation, the kind that only happens two or three times in a century. Morgan Stanley calls it a "fast-moving innovation cycle on a global and historical scale." AI is no longer just a disruption theme. It's a strategic asset, central to economic competitiveness, military capability, and energy demand at a national level. The parallel being drawn is the mid-1990s, where technological breakthroughs allowed for a prolonged period of growth without a recessionary hangover. For the first time in decades, US productivity growth is trending above 2.5%, largely because companies have successfully integrated AI into the workplace. This has created a buffer against inflation. LPL Research is blunter about it: only 1% of companies consider themselves mature AI users. Surveys show over 92% plan to increase AI investment, meaning the productivity gains have barely started diffusing into the broader economy. That's the setup. The market has been pricing the infrastructure phase. The economy is about to enter the productivity phase. And then the application phase after that. I don't believe there a dot-com bubble. The dot-com companies were burning cash on speculation. The companies driving this cycle have real revenue, real backlog, and real constraints. McKinsey estimates cumulative US data center spending alone will reach $5 trillion by 2030. That capital is already committed. Shovels are in the ground. And critically, it is not just America funding this. The UAE has committed $1.4 trillion in US investment and is reaffirming that commitment even amid regional instability, with UAE entities already deploying capital into US-based digital infrastructure at scale. The US-UAE AI Acceleration Partnership, formalised in Washington just weeks ago, is designed to secure global AI supply chains with the US at the centre. Advanced technology and AI have become the newest pillar of the UAE-US relationship, built on a foundation of security and economic cooperation. The UAE describes this as a trillion-dollar relationship that drives real economic impact for everyday Americans. This is foreign capital, sovereign wealth, and allied governments choosing the United States as the headquarters of the next industrial era. That's a structural thesis. My thesis, plainly stated: The volatility you're seeing right now, war, politics, tariffs, rate uncertainty, is the turbulence at the beginning of a long flight. The destination doesn't change because there's turbulence. The AI industrial cycle is a 10-year phase shift in how the global economy operates, and the US is its primary beneficiary. The companies that own the physical constraints of that phase shift; power, compute, infrastructure, defense autonomy are where the value compounds. That is what this portfolio is built on. Goldman Sachs has a 7,600 year-end target on the S&P 500. The reasoning is not hype, it's tethered to a 12% EPS growth forecast and an expectation that AI-driven productivity gains are finally hitting corporate bottom lines. They call 2026 the "Execution Phase." I agree. But I'd go further: 2026 is year two of a ten-year execution phase. There are real risks. Elevated valuations, geopolitical escalation, FED policy uncertainty, none of these are trivial. The "Goldilocks" environment requires multiple variables staying in balance simultaneously. It will not be a straight line. There will be drawdowns. There will be moments that test conviction. That's fine. That's where the edge is built. WHERE THE MARKET IS LATE APRIL 2026: The S&P 500 closed Monday at around $7,109. The Nasdaq ended its 13-day winning streak, its longest positive run since 1992. The Russell 2000 hit a new closing all-time high. The market has recovered fully from its Iran conflict lows, roughly 11% off the bottom in under three weeks. Investors are signalling a collective belief that tensions resolve, Hormuz normalises, and the structural bull continues. Analysts at Certuity are right to note that the market wasn't cheap before the conflict. Valuations, earnings potential, and FED policy are going to matter more than geopolitics over the next 6 months. Earnings season is the real test now. Q1 results will reveal which companies are converting AI infrastructure spend into margin expansion and which ones are still in the "spending" column. My view for late April to September: choppier than the last 3 weeks, more volatile than consensus expects, and full of buying opportunities for anything with hard assets and contracted revenue. HOW I'M PLAYING IT - LONG-TERM PORTFOLIO: These are structural positions. Not trades. Each one sits on a specific physical or economic constraint that the AI industrial cycle cannot bypass. I'll hold and DCA. $IREN: Power is the binding constraint of the entire AI buildout. $MSFT Contract. IREN controls 4.6GW of secured power infrastructure. Next earnings: May 13. I'm long and adding on any meaningful pullback. $CIFR: Same thesis, adjacent scale. 3GW secured. The hyperscaler arms race didn't stop. This is infrastructure, not a crypto play. Still accumulating. $NBIS: Nebius is building the AI cloud layer for Europe and emerging markets. Revenue is early. Infrastructure is going in now. This is a multi-year hold. Not touching it. $AMPX: Battery storage is the invisible bottleneck in the autonomous supply chain. AMPX builds the solution. Patient, early, high conviction. $PNG.V: Defense autonomy thesis. Undersized, underanalysed, positioned in programs with multi-decade budget commitment. $RKLB: Rocket Lab is the only orbital launch competitor to SpaceX that has proven execution at scale. Electron is flying. Neutron is coming. Defense contracts are stacking. Still long. $OUST: The sensor layer that makes autonomous systems possible. Defense, agriculture, logistics. The eyes of the machines being built right now. Still accumulating. $ONDS: Raised 2026 guidance 25%. $65M backlog up 180% in 60 days. Trading below analyst target. Defense autonomy is not discretionary anymore. It's a locked-in multi-decade budget line. Still long. $AAOI: Applied Optoelectronics makes the optical components inside every data center rack. Data center capex is crossing $1 trillion this year. The demand curve for $AAOI is not complicated. Adding on weakness. $HIMS: The telehealth distribution layer. The market keeps treating this as a GLP-1 story. It's actually an access story, the infrastructure for healthcare delivery at scale. Patient. Overall strategy: DCA into every position on 5-10% pullbacks. The only exit trigger is a broken thesis, not a lower price. Volatility between now and September is the mechanism that creates the next entry points. SHORT-TERM PORTFOLIO: $DARE: My conviction is higher in $SIVE, so I sold DARE with 40% profit. $SIVE: Active swing position. Asymmetric setup with binary catalyst potential. Goal: 1-3x from entry. Taking profit in tranches as it moves. No ego about what it "could" do. Profit is profit. Swing. Take profit. Rotate. The short-term book is a vehicle for compounding faster capital through high-conviction, catalyst-driven setups. Sizing is appropriate, if it goes to zero, the long-term portfolio doesn't notice. The discipline is in the exit, not the entry. The process: identify the catalyst, enter the position, set the target, take profits on the way up. Rotate proceeds into the next setup or into the long-term portfolio on dips. SUMMARY: Markets are volatile. Geopolitics are messy. The near-term is uncertain. None of that changes what I believe about the next decade. AI-related investment increasingly resembles an industrial infrastructure cycle rather than speculative tech spending. Morgan Stanley estimates roughly $2.9 trillion in global data center construction costs through 2028 and expects AI-related investment to account for about 25% of incremental U.S. GDP growth this year. The US is at the centre of this. Foreign sovereign capital is choosing the US as the host nation for the next industrial era. The physical constraints, power, compute, launch infrastructure, defense sensors are where the compounding happens. That's not a 2-year trade. That's a 5-10-year thesis. I'm not managing this portfolio for the next earnings cycle. I'm managing it for the decade. YTD +40%. One year +157%. And the cycle has barely started. Adding on dips. Not selling on headlines. -BP Note: This is not financial advice. I hold positions in all tickers mentioned.

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@blackpanthercapApr 19, 2026 · 6:12 PM

HOW I WILL PLAY THE NEXT MONTHS AND WHAT I EXPECT: I want to touch on 5 important things: 1. First, I’m sad to see the lunch of $ASTS fail. I sold a while ago. “$Execution delays is a risks. Sold and took profit recently.” Still saddens me to see. 2. I see a lot of new concerns on US/Iran. Here’s my take and how I will play it: Overall I believe we have see the worst. I could be wrong. But usually when ceasefire and ‘talks’ have been somehow ongoing it’s very rare a full blown war will continue. I expect some volatility short-term. I’ll be DCA’en through if it plays out. Long-term I have NO concerns. US are on their way to a ‘goldilocks’ era. So many investments are being made INTO US. I expect inflation to rise short-term. Fall afterwards towards the goldilock-era for US where AI infrastructure will play out and dominate. Lastly. I see some concerns about ‘oh, but $SPY $SPX $QQQ are all back to ATH and topping. Yes. But MAG7 is not topping. $NVDA $GOOG $AMZN are close to touching Octobers high. But recently. $MSFT $AAPL $TSLA are far from it. Meaning the ‘top’ is not driven by small cap or MAG7. But the middle-layer of $SPYx / SP500. I’m not concerned. But expect more of a rotation to continue into risk-on - when US/Iran clears. 3. A couple of hours ago I released a FREE NEW extensive deep dive on $OUST. You should go read it. 4. I’m considering creating a FREE group-chat here on X. A community. What I expect of the group: This is not a buy/sell signal group. But a group to connect with like-minded. Analyzing the market, sharing ideas, research, insights, learnings and Go deep on finding gems together. There’s limited spots. If you want to join. Comment: “YES.” And just to be clear: I dont have a course or offer no paid services. 5. Based on 2) - I’ll sit tight in my long-term high conviction plays with ease and peace. Add on dips. Pure DCA. Meanwhile I’ll soon open up my short-term account again and begin some short-term swing trades in the timeframe of less than < 6 months. -BP. Please note: this is not financial advice.

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@investmentguru_Apr 19, 2026 · 11:42 AM

$ISRG — The Blueprint For How Physical AI Gets Monetized Surgical robotics is Physical AI that already prints recurring revenue. With an installed base exceeding 10,763 systems globally, da Vinci 5 continues gaining momentum with AI-powered force feedback and in-console video replay for real-time surgical decision-making. Every humanoid robotics company is trying to build what ISRG already has. $ONDS — Drones Are Physical AI. And Ondas Is Building the Sovereign Security Grid. Drones are the first large-scale deployment of Physical AI — whoever controls drone swarm technology controls the next generation of warfare and commercial autonomy. Management raised 2026 revenue guidance to $375M — an 840% YoY growth trajectory — driven by Roboteam ground robotics and drone-in-a-box deployments across UAE and Saudi Arabia. Most speculative on this list. Highest upside if execution holds. $PATH — The Orchestration Layer Between Human Workers and Robot Workers Maestro coordinates AI agents, software robots, and human workers across complex enterprise workflows — the central nervous system for autonomous business operations. 90% of U.S. IT executives see agentic potential, 77% plan investments in 2026, but only 37% are live. PATH is where PLTR was in mid-2023. The re-rating hasn’t happened yet. $SOUN — Every Physical AI Machine Needs a Voice. SoundHound Wants to Own That Layer. Robots need to take commands. AVs need to understand context. Machines need ears. At CES 2026, SoundHound unveiled Vision AI for vehicles — uniting visual with voice AI so an in-vehicle assistant can listen, see, and interpret the world simultaneously. Named a leader in the Aragon Research Globe for Agent Platforms 2026. Speculative — but 400+ patents and 217% revenue growth says the moat is real. $SERV — Jensen Huang Called Them Out By Name. The Robots Are Already Delivering. Not a concept. Not a demo. Serve has deployed over 2,000 robots across the U.S. — the nation’s largest sidewalk delivery fleet — completing thousands of deliveries weekly for Shake Shack, Little Caesars, Uber Eats, and DoorDash. The 2026 acquisition of Diligent Robotics expanded Serve into hospitals — Moxi operates in 25+ U.S. hospitals generating $200K–$400K annual revenue per deployment. Nvidia spotlighted. T-Mobile partnered. Real deployments, real data, real moat forming. Stack Map: → Silicon/Compute: $NVDA $ARM $AMBA $QCOM $NXPI → Sensing/Memory: $ADI $MU $OUST → Materials: $MP → Simulation: $CDNS → End Market: $ISRG → Deployment: $ONDS $SERV → Software/Interface: $PATH $SOUN Not financial advice. DYOR.

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@investmentguru_Apr 19, 2026 · 11:42 AM

Physical AI Playbook- Wave 1 was digital AI — data centers, GPUs, LLMs. Wave 2 is Physical AI — robots, drones, AVs. $NVDA — The God of Physical AI Every robot OS runs on Nvidia. Jetson Thor delivers 7.5x the performance of its predecessor — already adopted by Amazon Robotics, Boston Dynamics, Figure, and Caterpillar. Simulation, foundation models, edge compute — Nvidia owns the entire stack. You don’t beat the platform. $ARM — The Invisible Tax On Every Robot Ever Built You’ll never see Arm’s logo on a robot. You’ll pay them every time one ships. Arm’s cores sit inside virtually every chip in edge AI — Nvidia’s Jetson, Qualcomm’s Dragonwing, NXP’s S32, Ambarella’s CVflow. As chips get smarter, Arm captures a larger royalty per unit. Pure leverage play on the entire Physical AI buildout. $AMBA — Robots Need Eyes. Ambarella Makes Them. When a robot drops a glass, it can’t wait for a signal to go to the cloud and back. Ambarella makes low-power AI chips that process vision on the edge instantly. Real-time edge vision is a hard engineering problem — Ambarella has the lowest power, highest accuracy solution. No vision, no robot. $QCOM — The Phone Chip Company That’s Actually a Robot Chip Company The market still prices Qualcomm as a smartphone play. Qualcomm’s Dragonwing IQ10 SoC enables low-power decision-making for drones, robots, and AVs beyond the cloud. When Physical AI re-rating hits this ticker, the gap closes fast. $NXPI — The Unsexy Chip That Every Humanoid Robot Will Need Nobody talks about NXP. They should. In March 2026, NXP announced foundational robotics solutions developed with Nvidia — combining Nvidia’s Holoscan Sensor Bridge with NXP SoCs to enable sensor fusion, machine vision, and precision motor control for humanoid form factors. NXP’s processors are purpose-built for the zonal architecture shift — from hundreds of isolated control units to a few centralized superchips. These hit volume production in 2026. Once designed in, stays for a decade. $ADI — The Nervous System No One Is Investing In Every robot needs to feel the world before it can act on it. Analog Devices converts real-world pressure, motion, and temperature signals into data robots can use. ADI stands out for resilient profitability, dividend safety, and growth exposure to robotics. The boring bottleneck with a blue-chip balance sheet. $MU — Speed Is Life When Your Robot Is Walking A robot walking and making a decision can’t afford a 1–2 second delay — a one-second lag means it drops something, crashes, or hurts someone. Fast low-power memory at the edge closes that gap. LPDDR5X and HBM are Micron’s answer. Robotics demand here is structural, not cyclical. $MP — No Rare Earths, No Robot Motors. Full Stop. You can’t build a million robots without the magnetic materials that make their motors spin — and the rare earth supply chain is severely constrained. If the Pentagon wants U.S.-made robots, they need MP’s California mine. The geopolitical moat is the thesis. $OUST — LiDAR Fell 99% in Cost. The Mass Deployment Era Just Started. Ouster is benefiting from a 99%+ cost decline in LiDAR since 2019, helping expand AV and robotics beyond R&D into real-world deployment. Cheap LiDAR is the unlock — robots finally have affordable spatial awareness at scale. $CDNS — You Can’t Ship a Robot You Haven’t Simulated First Cadence’s $3.18B acquisition of Hexagon’s Design & Engineering business brings industry-standard multibody dynamics simulation tools essential for Physical AI and robotics development. Every robot company is a Cadence customer before it ships a single unit. Invisible infrastructure, zero competition.

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@blackpanthercapApr 16, 2026 · 4:56 PM

20,000 followers. i'll be honest. mixed feelings. not because i'm not grateful. i am. but because i'm also tired. tracking markets, a portfolio, a career, a family, two kids in school, sickness in the house, and showing up here every single day. in the hard weeks, i do what makes sense. i cut the noise. i keep only what compounds — love, depth with my kids, real wealth. the things that actually build. right now, 𝕏 is only generating followers. i want to be honest about that. this page started as a pact with my daughter to show her what's possible when you're consistent. post every single day for one year. see where you land. we're 106 days in. 259 days left. i haven't missed a single one. i won't. she doesn't fully understand what her dad is building yet. but she will. and i want to show her something real when she does. 50k by year end would be a pretty cool thing to point to. we'll see. lately i've been posting but pulling back on comments and real conversations. i want to pick that up again. that part matters to me. because here's what i want this space to actually be. not just signals. not just tickers. not another account firing charts at you every morning. i want this to be a space where you grow. your portfolio, yes. but also your thinking, your mindset, your relationship with money, your sense of what you're building and why. and that's the thing nobody talks about in this space. most investing accounts will teach you how to pick a stock. very few will help you build the life the stock is supposed to fund. what's the point of financial freedom if you're too burned out to enjoy it or can't handle your ego. what's the point of a portfolio that grows while your relationships shrink. what's the point of retiring early if you've lost yourself somewhere along the way. i want this space to hold all of it. the market analysis. the supply chain research. the portfolio thinking. but also the psychology behind why we make bad decisions when we're afraid. the mindset work that separates the investors who hold through chaos from the ones who sell at the bottom. the life design questions that nobody asks until it's too late; what am i actually building this for, and who do i want to be when i get there. that's the holistic approach. not stocks and vibes. not therapy and no returns. both. together. because they were never separate to begin with. i've coached over 1,400 people. i've sat with executives inside forbes global 2000 companies at the peak of their career who felt completely empty. i've sat with people who had almost nothing financially but knew exactly who they were and what they were building toward. the ones who built real wealth, the kind that lasts and actually feels like something, understood both sides. that's what i'm here to build. i've been in rooms with people who had everything. the money, the title, the house. and they were the loneliest people i've ever met. cracking under the pressure of a life that looked perfect from the outside. wealth without health is nothing. money without a real foundation is just a number. at some point this space becomes something you can be part of more deeply. a community, a paid layer, something worth paying for. not yet. but that's where this is going. why am i doing any of this? because i'm a father. a husband. a provider. and if there's a chance, even a small one, that i could build something that sets my wife and kids free, why wouldn't i try? but let me be clear about what free actually means to me. it's not the number in the account. it's time with my kids. presence with my wife. a life where the portfolio works so i don't have to choose between showing up at work and showing up at home. that's the real end goal. not the follower count. not the monetization. freedom for the people i love most. i'm building toward that. slowly. on the side. having fun with it. to the ones who've been here since the early days when this was a few hundred people and i was still figuring it out, you know who you are. thank you. some of those conversations meant more than you know. going forward you'll see more of that here. the market. the mindset. the life being built alongside it. dm is always open. thanks for being here. -BP $IREN $NBIS $CIFR $AAOI $OUST $OSS $RKLB $AMPX $ONDS $PNG.V $KRKNF

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@kaizen_investorApr 12, 2026 · 1:48 PM

Some key catalysts I'm looking forward to in 2026-2027. Q2 2026 - $POET: high-volume light source scaling. POET unveiled its next-generation Starlight and Blazar hybrid external light sources at the March 2026 OFC conference, heavily pushing forward their high-volume scaling for the AI connectivity market. - $IREN: Sweetwater 1 1.4GW facility energization. IREN is finalizing site works for the Sweetwater 1 bulk substation, with energization on track for April 2026 (Q2). - $KRKNF: Covelya Group $615M acquisition close The strategic acquisition of the UK-based Covelya Group rapidly expands their vertically integrated product suite to include navigation, positioning, and subsea communications. - $AEHR: ultra-high power FOX-XP shipments In March 2026 (Aehr's fiscal Q3), the company announced a follow-on order and a new major silicon photonics customer win for its FOX-XP systems, with shipments scheduled for its fiscal Q4 ending in May 2026. Q3 2026 - $CIFR: AWS AI hosting lease commencement Cipher secured a 15-year, 300MW lease with AWS for an AI/HPC campus, with initial rent commencement confirmed for August 2026 (Q3). - $OUST: Start SAFE LiDAR ACT Ouster should see the first positive signs of the SAFE LiDAR ACT in the Q3 results. Q4 2026 - $RKLB: Neutron maiden flight Rocket Lab is developing the Neutron rocket to provide a reusable, medium-lift alternative to SpaceX's Falcon 9 for constellation deployments. A successful maiden flight proves the vehicle's viability, opening up a lucrative pipeline of commercial and government launch contracts. - $ASTS: commercial service activation (block 2) The activation of its larger Block 2 BlueBird constellation enables the initiation of consistent commercial service for telecom partners globally. - $NBIS: 800MW to 1GW capacity operational In early 2026, Nebius significantly raised its contracted power guidance, officially targeting 800MW to 1GW of available connected capacity by year-end 2026. - $AAOI: 5,000 ELSFP units per month production Reaching a production run rate of 5,000 External Laser Small Form Factor Pluggable (ELSFP) units monthly proves their automated U.S. manufacturing can scale to meet co-packaged optics demand. The goal is 400,000 units by the end of 2027. - $FLY: Blue Ghost Mission 2 lunar launch Blue Ghost Mission 2 will deliver payloads to the far side of the moon while demonstrating the first on-orbit AI data processing via its Elytra spacecraft. - $RDW: SabreSat DARPA Otter VLEO demonstration The SabreSat Otter demonstration for DARPA will validate highly advanced air-breathing electric propulsion, allowing satellites to maneuver indefinitely in Very Low Earth Orbit (VLEO) by harvesting atmospheric air. Q1 2027 - $CRDO: Cardinal 1.6T DSP production ramp Credo launched its Cardinal 1.6T DSP family in March 2026. Industry analysts predict the major 1.6T transceiver upgrade cycle and corresponding production ramp will heavily take hold in 2027. - $PL: Pelican-4 edge AI revenue ramp Planet successfully demonstrated in-orbit AI object detection on its Pelican-4 satellite, supporting the planned ramp of its Planetary Intelligence edge AI revenue streams into 2027. Q2 2027 $VRT: Ironton liquid cooling expansion operational The expansion of its Ironton facility will massively boost production capacity for liquid cooling systems, a necessity for the booming deployment of high-density AI servers. Q3 2027 $SATL: NextGen Merlin constellation operational Satellogic unveiled its new Merlin constellation, explicitly targeting the first launch in October 2026 with full operational capacity scheduled for the first half of 2027. $BSKY: AROS country-scale mapping constellation launch The launch of the AROS constellation supplements their targeted site monitoring with country-scale broad area mapping, securing their position against retiring legacy competitor satellites. $LWLG: material volume production and licensing revenues During their recent early 2026 updates, LWLG management explicitly stated they are building infrastructure for long-term commercialization, with meaningful volume production and licensing revenues anticipated to begin in 2027.

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