Searching for Moats

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Searching for Moats

Searching for Moats

@Searching4Moats

PE and growth investor by day, niche business sleuth by night. Exploring moats, markets & AI’s impact on finance

New York, New York Katılım Mayıs 2025
325 Takip Edilen31 Takipçiler
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Searching for Moats
Searching for Moats@Searching4Moats·
1/ Large cap software PE investor here sharing my take on current state of the [private] markets. Everyone agrees the "Agentic Layer" is the next frontier for Vertical SaaS, but there’s a massive structural hurdle people are ignoring: the current state of PE-backed incumbents🧵
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PIK Toggle
PIK Toggle@piktoggle_·
Thinking about starting a small, invite-only network in NYC across PE, HF, AI. Quarterly dinners and idea exchange. Shoot me a DM with your title and firm if you have interest and think that you would add to the room.
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Searching for Moats
Searching for Moats@Searching4Moats·
If you’re wrong, what do you think happened?
Silicon Salvage@SiliconSalvage

Buying cheap tech stocks in 2026 is the closest thing in modern public markets to being handed a list of 1999 internet companies after the bubble burst, in 2002, when the entire category had been left for dead, the analysts had stopped covering them, the funds had been forced to liquidate, and the price action had been so bad for so long that the very word "tech" had become, briefly, a kind of insult at dinner parties. The investors who bought that list, in 2002, in equal weights, and held for ten years, made some of the largest legal fortunes in modern American finance. They did not pick winners. They bought a basket. They held Amazon at $7 and they held companies that went to zero, and the math, on the basket, worked, because a few of the names compounded so violently that they paid for everything else many times over, and the entire portfolio, in aggregate, returned multiples of the original capital while everyone else in the country was buying real estate at the top of the housing bubble. The 2026 version of this trade is sitting in plain sight. There are, right now, roughly 90 publicly traded technology companies in the United States that are profitable, growing, generating free cash flow, sitting on net cash, with strong gross margins, durable customer bases, and stock prices that are 70% to 85% below their 2021 highs. The market has decided, as a class, that these businesses are obsolete, that AI is going to kill them, that the category is over. The cash flow statements say something different. The renewal rates say something different. The customer concentration data says something different. The math, when you actually do it, says these companies are compounding right now, today, while the stocks are flat or falling, and the gap between price and value is wider than it has been at any point since 2002. You do not need to be smart. You do not need to pick the next Amazon. You need to build a basket of 20 to 30 of these names, in equal weights, hold for at least five years, and let the math do what the math has always done. Some will go to zero. Some will compound. The aggregate, by any historical standard, will work. It worked in 2002. It worked in 2009. It worked in 2016. It worked in 2022. It will work this time, because the structure of the opportunity, which is forced selling by people who used to love these stocks and now hate them, is the most reliably profitable setup in equity markets, and it is, in 2026, sitting on the shelf, marked down, available to anyone with a brokerage account and the willingness to be ridiculed at dinner parties for the next 18 months in exchange for being right for the next ten years.

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Boring_Business
Boring_Business@BoringBiz_·
Every single new graduate being hired at a bank, private equity firm or hedge fund is extremely reliant on AI to do their job Without the help of AI, they can barely read through a 10K and figure out what the business even does This will create a massive crisis of group think in the markets in the future, particularly as they grow up and start to become decision makers at their firms
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Boring_Business
Boring_Business@BoringBiz_·
Lately have been really disappointed with the quality of college students who reach out via cold email to network Almost always the same exact questions > "How do you think AI is going to impact finance" > "Any advice for students graduating into AI?" > "What AI tools should I be learning for finance?" The real answer is that I have no clue. Nobody knows. We can all play a guessing game around the table of what the future might look like, but not a single one of us actually knows the answer. Even Sam Altman or Dario dont know what the world might look like in 5 years. They can probably guess better than the average person, but that is about it. The solution is to just tune out the doomerism and focus on what you are good at. Learn to take agency and learn to sell. You will end up just fine, whether AI takes over the world or not.
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High Yield Harry
High Yield Harry@HighyieldHarry·
@edzitron Don’t think that’s right, I’ve seen a ton of levered software credits and they all generally perform quite well with strong retention and reccurring rev. AI throws a huge wrench into the core IC memo thesis & terminal value.
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Ed Zitron
Ed Zitron@edzitron·
It is fundamentally insane that the slow collapse of growth in software and the resulting issues with software companies paying their debts is being framed as “about AI.” This is an attempt to cover up years of bullshit LBOs and overstuffed valuations from 2018-2022
Wall Street Rollup@WallStRollup

Apollo’s Marc Rowan on Redemptions and Software: “If you can’t as a 1L credit manager meet 5% redemptions per quarter, I’ll say it frankly, you’re an idiot.” “If you discovered 8 weeks ago that enterprise software was vulnerable to AI, you kind of weren’t doing your job.”

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