Iceberg Invest - Long Only Equity - Quality Focus

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Iceberg Invest - Long Only Equity - Quality Focus

Iceberg Invest - Long Only Equity - Quality Focus

@IcebergInvest

Equity investing dork. Long term horizon. Focus on the best equities at reasonable prices. Not investment advice. Find the overlap.

Panmure House, Edinburgh Katılım Temmuz 2022
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Iceberg Invest - Long Only Equity - Quality Focus
Growth in the digital economy is supported by many themes - AI, Cloud , Automation, Energy Transition & Edge Computing. Underpinning it all...semi-equipment companies. They have high barriers to entry & have dominated their niches for a long time. $ASML $AMAT $KLAC $TEL $LRCX
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Jordan
Jordan@HyperAICapital·
COUNTRIES WITH THE MOST DATA CENTERS This is where the world is building AI infrastructure.: 🇺🇸 USA – 3,960 🇬🇧 UK – 498 🇩🇪 Germany – 470 🇨🇳 China – 365 🇫🇷 France – 335 🇨🇦 Canada – 285 🇮🇳 India – 275 🇦🇺 Australia – 268 🇯🇵 Japan – 249 🇮🇹 Italy – 206 🇧🇷 Brazil – 198 🇪🇸 Spain – 189 🇳🇱 Netherlands – 186 🇮🇩 Indonesia – 184 🇷🇺 Russia – 178 🇮🇪 Ireland – 128 🇨🇭 Switzerland – 113 🇸🇪 Sweden – 110 🇲🇾 Malaysia – 109 🇵🇱 Poland – 97 🇫🇮 Finland – 90 🇳🇴 Norway – 87 🇰🇷 South Korea – 86 🇭🇰 Hong Kong – 85 🇩🇰 Denmark – 81 🇹🇷 Turkey – 76 🇨🇱 Chile – 66 🇸🇬 Singapore – 65 🇮🇱 Israel – 65 🇷🇴 Romania – 63 🇲🇽 Mexico – 62 🇿🇦 South Africa – 61 🇹🇭 Thailand – 59 🇸🇦 Saudi Arabia – 58 🇦🇪 UAE – 57 🇳🇿 New Zealand – 57 🇨🇿 Czech Republic – 54 🇦🇹 Austria – 53 🇧🇪 Belgium – 48 🇵🇹 Portugal – 44 The US alone has 8x more data centers than the UK. $NVDA $MSFT $AMZN $GOOG $NBIS $META $CRWv $IREN $CIFR
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In Practise
In Practise@_inpractise·
Former Senior Executive at ASML on ASML's 100% lithography lock-in with $TSMC $ASML : “For 2nm logic, one High-NA tool is not enough by itself. You also need general EUV, immersion, and KrF as part of the full lithography set. It’s possible to mix vendors. However, at this moment, for High-NA, low-NA, and immersion, ASML has almost 100% market share. Until immersion technology, ASML will have the entire market.”
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Tiernan Ray
Tiernan Ray@TiernanRayTech·
I’m delighted to report that The Technology Letter is featured on the Bloomberg terminal. I was a reporter at Bloomberg twenty-three years ago covering tech. It remains one of the best business news reporting outlets in the world. Every day now, you can see TL articles on major company and stock developments direct in the feed for a given ticker. If you don’t yet have a Bloomberg Terminal subscription, you can sign up here: bloomberg.com/professional/e… For the latest direct from TL, check out the home page: thetechnologyletter.com
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Jukan
Jukan@jukan05·
Micron's strategic pivot toward more aggressive EUV adoption is interpreted as an effort to save fab space and thereby expand overall output capacity. This implies a departure from its conventional multi-patterning approach — a development that is positive for ASML, but modestly negative for AMAT and LRCX.
Ray Wang@rwang07

First 5-year SCA signed. New EUV layer roadmap. ✍️

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Moody
Moody@MoodyWriter13·
$AIXA controls ~90% of InP MOCVD reactors and every one ships with LayTec metrology inside, the only provider ensuring atomic-level precision. LayTec is owned by Nynomic (M7U), a tiny German photonics group valued below its book value. open.substack.com/pub/fwriter/p/…
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Matthew Harbaugh
Matthew Harbaugh@themattharbaugh·
Michael Mauboussin on how the best investors behave
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Trevor Scott
Trevor Scott@TidefallCapital·
Yes, Two $CSU guys started "The AI Guys" podcast 2 years ago describing themselves as 'humble experts'. In their first episode they said AI had completely altered their workflow. It runs counter to the narrative that $CSU had their head in the sand. @TheAIGuysPodcast" target="_blank" rel="nofollow noopener">youtube.com/@TheAIGuysPodc
ARENA MAN CAPITAL@ArenaManCapital

$CSU.TO has an AI podcast with 500k subs called The AI Guys. Literally never heard about it until today. Pointed out to me by a friend (can't seem to find your handle, or else I'd give you a h/t).

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Shay Boloor
Shay Boloor@StockSavvyShay·
$AMZN CEO Andy Jassy reportedly said internally that AI could double AWS sales to $600B by 2036.
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Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
EUV machines are the most complicated tools humans make. Their supply chain has over 10,000 individual suppliers, and any one of them not scaling fast enough can bottleneck the entire AI industry. An EUV tool fires lasers at a tiny tin droplet three times in precise sequence, blasting it hard enough to emit EUV light. That light bounces off 18 multilayer mirrors onto the wafer. Meanwhile, the two platforms inside the machine - one holding the stencil, one holding the chip - are flying back and forth at 9Gs in opposite directions. The successive passes have to land on top of each other to within 3 nanometers. If any part of this is off, yield goes to zero. Take just one component. The mirrors are mostly supplied by Carl Zeiss, who have probably fewer than a thousand people working on them. In turn, Carl Zeiss rely on machines from Switzerland to deposit each of the layers, and use a coating process co-developed with a different German company. None of these companies have woken up. They’re gradually increasing production, but nowhere near the levels necessary for what the labs want by the end of the decade. @dylan522p predicts production can't scale beyond about 100 EUV machines per year by 2030, no matter how much money gets thrown at the problem. In the medium term this is the key bottleneck on scaling.
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CapexAndChill
CapexAndChill@CapexAndChill·
Incredible interview with Ariel Szarfsztejn during Argentina Week. $MELI is the textbook example of how to beat the Innovator's Dilemma. Incumbents usually fail because they try to protect short-term margins instead of disrupting their own cash cows. MercadoLibre has done the exact opposite. Their latest numbers prove exactly why $AMZN and $SE have struggled to unseat them in Latin America. Instead of resting on dominance, MercadoLibre actively cannibalizes its own profits to build a wider moat, which is exactly what they did this by slashing their free-shipping threshold aggressively last year. The result was a short-term hit to their operating margins, which compressed to 10.1%, but it drove a massive 45% YoY revenue surge. In Brazil alone, their GMV grew 35% and items sold jumped 45%, outpacing the market. They objectively traded temporary margin compression for permanent market share. This strategy reflects the power of a long-term time horizon. MercadoLibre is winning because it built an inescapable, highly localized ecosystem from the ground up. A competitor cannot easily disrupt an ecom giant when that giant also owns the underlying financial infrastructure of the region that also can help self-fund the ecom operations. The 2025 year-end data shows Mercado Pago hit 78 million monthly active users and processed $278 billion in TPV. Their credit portfolio grew 90% to $12.5 billion, yet they maintained a historically low credit card non-performing loan rate of 4.4%. They are the bank, the delivery infrastructure, and the marketplace all seamlessly integrated. Ariel even stated how the ads business is still very nascent 👀 As Szarfsztejn described, competition from Amazon and Shopee is not a fatal threat to MercadoLibre. It is a forced catalyst that makes them optimize faster. They survive by operating like a hungry startup, consistently willing to destroy their own fee structures before a competitor can use price or convenience to steal their customers. That is the reality of how they built a compounding machine in a complex emerging market.
CapexAndChill@CapexAndChill

Breaking down $MELI's CFO Martin de los Santos's recent interview with La Nacion. Q: How is Mercado Libre doing? The structural growth runway remains massive. Brick and mortar still controls 85% of retail in Latin America. This compares to roughly 70% in the US and 65% in China. On the fintech side, they are digitizing finance for an entirely unbanked demographic. The TAM is actively expanding. Q: How do you compete with banks? Traditional banks ignored the lower and middle classes. This left a massive void. 7 years ago, Argentina had only 500,000 investment accounts. Today, Mercado Pago alone has over 20M money market accounts generating yield. They are replacing traditional banks for the masses. Q: What are the short-term plans? MELI is deploying $3.4 billion in Argentina this year. They are opening a third distribution center and hiring 1.9k people. The broader physical economy is slowing down. However, MELI saw a 36% jump in items sold last year. They are using their balance sheet to build a massive logistics moat while physical retail struggles. Q: Will digital wallets hold payroll accounts? MELI wants users to get their salaries deposited directly into Mercado Pago. Current regulations block this. But MELI is actively fighting to change the rules. Securing direct deposits would guarantee free monthly liquidity and create total ecosystem lock-in for the user. Q: How is the relationship with banks and regulations? This is the biggest regulatory catalyst in the interview. De los Santos confirmed they are officially applying for a full banking license in Argentina. This changes their entire unit economics. A license allows them to take retail deposits. This lowers their cost of capital and opens the door to massively expand their lending business. Q: How is the drop in consumption impacting things? MELI is highly counter-cyclical. The macro environment is sluggish. Even so, their online sales grew 35%. Consumers are shifting online to find better prices and financing options. MELI's investments in payment tools and fast logistics are forcing platform growth regardless of economic stagnation. Q: What is competition like with Shopee, Temu, and Shein? Shopee is the primary threat. Shopee builds local logistics and acquires local sellers. Temu and Shein rely purely on cross-border shipping. MELI's defense is aggressive. They opened their own distribution centers in the US and China. They are turning a competitive threat into a new revenue stream by integrating international sellers directly into their own fulfillment network. Q: Do you agree with Milei on competition? MELI is strictly anti-protectionist. Martin explicitly stated they prefer an open Argentina with fierce competition. They do not want a closed economy. They believe competition forces them to raise service standards and improve logistics. This is the exact playbook they used to scale when $AMZN entered Brazil and Mexico. Q: How does AI impact recruitment? AI is driving margin expansion, not headcount reduction. They use machine learning heavily in fraud prevention and credit underwriting. This secures their highly profitable lending book. Their 20k+ developers use AI to scale productivity. This removes repetitive tasks and accelerates new product rollouts across the platform.

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Sustainable Growth
Sustainable Growth@fintegrate·
It’s never the raw multiple in isolation that’s interesting. It’s the multiple in context of the earnings and cash flow growth and whether those are enduring or not. Get this right, and those businesses will feed you well for life.
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CapexAndChill
CapexAndChill@CapexAndChill·
This is a great primer on $MELI. It does a great job capturing the ecosystem flywheel and the competitive landscape. A few things I would add to the MELI thesis that are little less known. The proprietary Fury platform that MELI owns allows it to scale engineering operations specifically for the high friction LatAm landscape. This is the key reason they continuously deploy over 10,000 times per day. MELI is also an AI case study. MELI revolutionized its customer service scalability using an AI platform called Verdi. Agentic AI helps with product discovery. SAP reports highlight that MELI is using generative AI to automate complex financial reporting and trial balance analyses, drastically reducing G&A costs. Sub-prime credit is risky but MELI has the ability to underwrite like no other business can because of their proprietary data flywheel. A majority of credit card portfolios in Brazil are NIMAL positive and this will continue despite the upfront growth. Their loans are also short-term and they have the biggest advantage to react to economic conditions with their real-time proprietary data. TikTok Shoip is also a very big issue for Shopee in Brazil in my opinion. They own social commerce and this puts a lot of pressure on Shopee's disruption strategy. As Galperin said previously stated, the nearshoring trend serves as a macroeconomic tailwind for localized commerce and infra providers in the region. But MELI is not just relying on regulation. They already deployed their full china strategy, which plugs gaps in low-tier inventory to remain highly competitive on the low-end. Another important aspect to keep in-mind is although that MELI is investing heavily in Brazil to keep increasing marketshare in light of competition they are not ignoring the remaining 17 other countries they operate in that account for nearly half the revenues. Mexico has been outlined by management several times as a huge opportunity. They are going to continue accelerating growth there as their fintech/banking operations become even more dominant and fuel further ecom adoption. This is the result of a flywheel they build individually in each region they operate in. Lastly, the leadership and culture at MELI is unmatched. This team plan for the long-term and they are very upfront and honest about it. There are several verticals they are spinning up that can provide serious value in a decade from now. Just listen to their investor relations podcast or any other interviews with management.
Drew Cohen@DrewCohenMoney

Check out our latest deep dive on $MELI available on YouTube now! A special shout out to @themattharbaugh for pulling back to back all nighters to get the video edited in time! 🙏 He is an absolute legend!

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Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
The AI supply chain has the craziest value cascade of any industry in the world. thinks that over the next five years, the biggest bottleneck to deploying AI will be EUV machines. ASML sells EUV machines for $300-400 million. You need about three and a half machines, so $1.2 billion, to produce a gigawatt of compute each year. So $1.2 billion of ASL and ML machines are producing $35 billion worth of NVIDIA chips a year (and of course those machines can be used over many years). Then those Nvidia chips can generate $100s of billion of token revenue for AI labs. Or think about: over the last three years, TSMC spent $100 billion on CapEx. A small fraction of that went to building the fab capacity used for Nvidia's chips. Nvidia turned that fraction into $216 billion of revenue last fiscal year alone. Relative to the value of the thing they’re producing, TSMC’s CapEx looks crazy small. So why aren’t ASML/TSMC/etc juicing up margins to capture more of the value they’re generating? And why aren’t they scaling up CapEx so that they can take advantage of the crazy AI growth worlds? @dylan522p says that it’s because these upstream players aren’t AGI-pilled enough. They’re still looking for stable, gentle long-term growth. The insane demand signal is taking a long time to percolate up the supply chain.
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Marcelo P. Lima
Marcelo P. Lima@MarceloLima·
$NOW "Think about a company growing more than 20 percent sub revenue, expanding margins and being able to close headcount at an even level year over year. That's a pretty stunning accomplishment because I'm already operating at the rule of 56. I want to take it into the 60s." 👀
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Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
.@dylan522p gives a deep dive on the 3 big bottlenecks to scaling AI compute: logic, memory, and power. And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers. Learned a ton about every single level of the stack. 0:00:00 – Why an H100 is worth more today than 3 years ago 0:24:52 – Nvidia secured TSMC allocation early; Google is getting squeezed 0:34:34 – ASML will be the #1 constraint for AI compute scaling by 2030 0:56:06 – Can’t we just use TSMC’s older fabs? 1:05:56 – When will China outscale the West in semis? 1:16:20 – The enormous incoming memory crunch 1:42:53 – Scaling power in the US will not be a problem 1:55:03 – Space GPUs aren't happening this decade 2:14:26 – Why aren’t more hedge funds making the AGI trade? 2:18:49 – Will TSMC kick Apple out from N2? 2:24:35 – Robots and Taiwan risk Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify. Enjoy!
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George Hadjia
George Hadjia@GHadjia·
For anyone saying $FICO has a broken moat bc of more aggressive CB pricing, I would v strongly pushback. The FICO moat is the securitization mkt and that takes a fair bit of work to properly understand. Have a read of the report below to appreciate how entrenched FICO really is.
George Hadjia@GHadjia

Bristlemoon just published a 16k+ word report on $FICO, the credit score monopolist that has increased its mortgage scores prices by 800% over the last three years. We explore how entrenched FICO is in the US credit ecosystem and whether the company still has pricing power...

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Tech Fund
Tech Fund@techfund1·
$ASML EUV layers per node (Goldman)
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