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Sunday, November 15, 2026

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@aleabitoreddit

Serenity on X

My thesis is very narrow. It's also no longer speculation when it shows up in reported earnings. HBM is a very large component cost in an AI server and not what I'm arguing. There's also many bottlenecks outside of memory. An obvious example is $AXTI InP substrates, where not securing enough capacity (where cost is in hundreds of millions) would trigger ceilings to competitor optical programs. And we'd likely see accelerated procurement patterns into 2027 where capacity is hard to scale.
@aleabitoreddit

Serenity on X

The most interesting lesson Jensen Huang taught me And gave PTSD to Google executives over from his leadership at $NVDA: Was that if a critical material can be bought out for spare change eg. ~$400m (FY2028 Photonics-SOI revenue forecast for $SOI) And trigger tens of billions in economic impact to competitors for not securing supply: We're going to see game theory bottleneck supply procurement actually accelerate upstream through 2027, with or without him. I see Morgan Stanley's list highlighting CCL, ABF, PCBs, optical module components as interesting. However; I'd put it through my own narrower lens, especially focusing on smaller component cost chokepoints + bottlenecks that doesn't cost much to secure capacity over. Deleveraging/negative sentiment is indiscriminately moving the theme up and down together, so hard to argue individual fundamentals at this point. Reflecting on 2026, I also prob need to be more selective of companies entering 2027: But there's going to be a lot of outsized opportunities in bottlenecks... as new architectures like NPO/CPO emerge across the ecosystem.
@ACapitalLP

A Capital on X

The biggest money in public markets is made when perception diverges dramatically from reality. Think of betting on sports on Kalshi/Polymarket. You’re not making a fortune betting on the #1 team to beat the #2 team. You’re making it betting on the 99-to-1 underdog when you realize the odds are completely wrong… A few situations that come to mind: - PSPs ($CIFR, $WULF, $APLD, $RIOT): Financing fears vs. the value of contracted power and development pipelines. - $TLN: PJM regulatory overhang vs. underlying FCF generation. - $FSLR: Fears of losing 45X credits vs. durable domestic manufacturing economics. What other situations fit this framework?

Investor Letters

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The Spy Who Shagged The Market

Nvidia’s leadership scandal puts its AI-market role under scrutiny, with comparisons to AIG’s pre-GFC liquidity influence.

NVDA $3.9TAIG $43B
WHAT ARE WE DOING? “Contrarians At The Gate” 4 clicks

Is Nebius Fucked?

Nebius’ Q3 beat relied on $325 million of one-off partnership fees as it raised 2027 CapEx to $40–45 billion and may need $6–11 billion of…

NBIS $32B
Daniel Romero 6 clicks

Qualcomm Custom ASICs?

Qualcomm’s Alphawave SerDes, CPU cores and HBC could support custom AI ASICs as hyperscalers build heterogeneous fleets beyond GPUs.

QCOM $185B
Chipstrat 4 clicks

Right-Sizing Memory

Micron’s AI memory demand depends on workload-specific accelerator designs that shift bits among HBM, GDDR and LPDDR, changing wafer…

MU $881BNVDA $3.9T
Chipstrat 4 clicks

Are Neoclouds Dead?

Neoclouds face tighter debt financing as AI infrastructure capex outruns cash flow, leaving cash-burning GPU providers more exposed than…

NBIS $32B
Daniel Romero 9 clicks

Reddit: Deep Dive Analysis

Reddit generated $805 million in Q2 2026 revenue, 95% from ads, but slowing Google search referrals expose AI-driven traffic and…

RDDT $19B
Hated Moats 6 clicks

Qualcomm Inc. (QCOM)

Qualcomm supplies chips for on-device AI agents and data center inference, with Meta and AWS agreements expanding its role across both…

QCOM $185B
SixSigmaCapital: Navigating the Financial Markets 5 clicks

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