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Thursday, October 29, 2026

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Another Haircut with Avy the Barber

SoFi’s stock case hinges on interest rates, tangible book value and private-credit loan sales after its $1.5 billion equity offering.

SOFI $22B
WHAT ARE WE DOING? “Contrarians At The Gate” 3 clicks

From X

@ActAccordingly

PAA Research on X

I've been short $GOOG for 6-9 months now. It's been on our Watch List and I mentioned it on the @realsteveeisman podcast over the summer. The thesis is pretty straight forward: The best business model ever created is now in secular decline and is being replaced with something that is far less compelling financially. Then you add in all of their issues around Gemini, CAPEX, slowing growth at Youtube, the prospects for dilution... I honestly don't believe this statement: "Google Services revenues increased 11% to $96.3 billion, led by 12% growth in Google Search & other with the year-over-year Search query growth rate the highest it has been in the last five years." The last part in particular. There's no way the query growth rate is the highest it has been in the past 5-years unless there are bunch of agents conducting searches, which is possible.
@ActAccordingly

PAA Research on X

"That would be PRESUMPTIOUS!" I'm listening to the $ORCL investor day and I found the response to the question about potential vendor/partner financing and whether or not the company has committed/signed deals quite interesting. The tone was defensive and I started to immediately think of Jimmy Cayne. In late 2007, a few months before Bear Stearns blew up they hosted an investor event in NYC to calm the markets following the blow up of 2 hedge funds. I was in the room. An analyst asked about how Bear Stearns planned to manage risk going forward in light of the "unprecedented" events in the capital markets (hedge funds blowing up, subprime defaults, credit spreads widening etc.). Jimmy Cayne responded: "You cannot create a risk model for something that is by definition UNPRECEDENTED". The tone was what I remember most. Defiant, condescending, angry. That's what I heard today with "PRESUMPTIOUS". No $ORCL is not Bear Stearns, but it's obvious to anyone that can read a balance sheet or track CDS, the financial risks for the company are growing rapidly. Negative variance on funding could have massive implications for the company. Assuming they have their financing needs secured from vendor financing or partners would be PRESUMPTIOUS.
@convequity 1 click

Convequity on X

Circular AI financing keeps getting bigger. A record $63 billion vehicle, partly supported by Broadcom ($AVGO), will buy Broadcom chips for Anthropic, and it only pays off if enterprises adopt AI beyond coding. The vehicle borrows, buys Broadcom XPU accelerators (custom AI chips) and networking gear, and leases them to Anthropic. Deliveries are expected from 2027. Broadcom guarantees a residual value of $40B+. This is the latest example of the banks, hyperscalers, model labs and chipmakers are frontrunning AI demand they expect to be insatiable. Without faster enterprise adoption, that demand may not arrive, and the financing stays circular. AI has to spread from coding into the rest of the enterprise. Coding can be checked, because code has to compile and pass tests. Other domains need the same verifiability, which means codifying context that lives in employees' heads, or at best across email, Slack, WhatsApp and work-management platforms. Vendors that can codify that context should extract immense value. Palantir ($PLTR) is the closest so far. Palantir's ontology, a structured account of an enterprise's objects, relationships and rules that software can use to check a result, is critical because it is instrumental to verifiability. We think it can make an average Nemotron model state of the art for that enterprise's own work. If the result is good enough, enterprises will use it and achieve sovereign AI. Once that context is codified, enterprises will not want to blindly run closed frontier models on it and give their know-how away. Broader adoption depends on data sovereignty. The shift has been visible since Palantir's Alex Karp warned earlier this year that handing closed frontier labs their data, models and institutional know-how means losing control of the value. The path is intelligence sovereignty plus more verifiability, then greater enterprise adoption, which would justify this frontrunning. It would also benefit Nvidia ($NVDA), which needs enterprise adoption because hyperscalers and model labs are leaning toward custom chips.

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CoStar: 3Q26 Business Recap

CoStar’s 3Q26 revenue growth slowed to 14% as bookings fell to $37 million, while cost cuts lifted EBIT margin to 8.8%.

CSGP $12B
Speedwell Memos 3 clicks

ServiceNow Q3 FY12/26 Earnings Review

ServiceNow’s Q3 revenue rose 20.5% to $4.11 billion, while non-GAAP EPS missed consensus and fourth-quarter cRPO growth guidance slowed to…

NOW $155B
Cestrian Capital Research 2 clicks

Meta: A Clearer Roadmap

Meta's non-cancelable commitments reached $455 billion as FY26 capex approaches $140 billion, driving expense growth and 700-basis-point…

META $1.6T
TSOH Investment Research 3 clicks

Why So Much Copper?

Amphenol and other copper-connectivity suppliers benefit as copper remains essential inside AI racks, where low-voltage, high-current power…

APH $193B
Jimmy's Journal 3 clicks

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