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Sunday, October 18, 2026· 2913 stock ideas· 217 writers·
17,825 views· 8,391 clicks

Semtech Analyst Day Review

Semtech raised Q3 guidance and targets $3.2 billion of fiscal 2030 revenue, excluding upside from its AI data-center optical and copper interconnect businesses.

SMTC $16B
CV's Substack 3 clicks

From X

@AsifSuria

Asif Suria on X

It is good to see the market recognizing that some of these SaaS companies like $ADBE, $NAVN, $ADSK and $CRM were oversold. My updated list of 62 software companies with insider buying can be found here in a tool that was built using Claude: https://t.co/ov9dxXgBid Here is some of what I wrote about the data in our July mid-month update a couple of week ago: "Industries in crisis provide fantastic opportunities if you are willing to wait patiently for some of the dust to settle and don’t mind temporary drawdowns as it is nearly impossible to pick bottoms. Earlier this year I started compiling a list of software and software-adjacent companies that were seeing insider buying after a massive drop in the price of their stock. I covered why this was important and included a list of 11 companies with insider buying in my article Where Are The Software Insiders? in February. Software-adjacent Companies What do I mean by “software-adjacent” companies? These are companies that have also seen their stock prices decline because of the perceived threat of AI to their business models. The list includes data providers like S&P Global $SPGI, MSCI $MSCI, and Morningstar $MORN. It includes e-commerce marketplaces like ThredUp $TDUP as well as the Latin America focused juggernaut MercadoLibre $MELI. It includes FinTech companies like SoFi $SOFI, PicS $PICS, PagSeguro Digital $PAGS, and StoneCo $STNE. I also decided to include cybersecurity companies like Palo Alto Networks $PANW and Gen Digital $GEN. Sixty Two Companies With Insider Buying The full list included 72 companies but I decided to get rid of five with a market cap below $500 million and another five whose gross margin was below 40%. The insider data is clean as a whistle because I reviewed every filing, read the footnotes and even adjusted the price of one purchase (Marqeta) to account for a reverse split. The buyback data specified in the Double Dipper column should also be good as I did several spot checks against 10Q and 10K filings. The rest of the data including valuation ratios and company metrics come from our data provider (FMP) and could have some issues. Several of these companies are foreign issuers (EPS reported in Brazilian reals but price reported in U.S. dollars), some went public within the last year and some ratios will be impacted by one-time items or growth from a tiny base. We have covered 18 of these companies in InsideArbitrage articles or newsletters"
@BrokenMoats 1 click

Broken Moats on X

Dispersion trade creating opportunities of fundamentals not matching price: $FDS now higher than the before SaaS (apocalypse) took off. Hard to argue they are not one of the most disrupted names across data services / software $PAYC $PCTY $WDAY - same challenges across software names and pricing / seat pressures. These names also face heavy increased competition from Rippling $EXPE - Hotels going direct has already started and OTAs should see supply pressure and take rate pressure $RNG - Does anyone legitimately believe they're an AI play? Agents don't need calls, don't need phones, and you don't need RNG to provide those agents - especially as every sb and up software provider and crm/erp Many others across software but also in financials, industrials and consumer
@convequity

Convequity on X

Rocket Lab just won its biggest launch contract ever: $266 million from the U.S. Space Force The deal covers 12 guaranteed suborbital test launches (with options for 6 more) for missile-defense work. First flight no earlier than the end of 2026, mostly from a brand-new Rocket Lab site in Alaska. This locks in real multi-year defense work and a new U.S. launch site. Solid backlog signal for $RKLB — and exactly why we keep the position in the Convequity portfolio.
@convequity 1 click

Convequity on X

Samsara and the physical-AI narrative We exited $IOT. The market is still pricing it as a core beneficiary of the coming wave of AI-enabled robots in warehouses, offices, and homes. Our read is different. Samsara’s real differentiation is software orchestration for distributed IoT fleets, not proprietary sensors or hardware. The physical sensors are outsourced to Asian manufacturers, and the orchestration layer itself is exactly the part of the stack that AI coding tools are making easier to replicate. As a result, the competitive position looks less durable than the current narrative suggests.
@convequity

Convequity on X

Rubrik’s quiet edge in the agentic era As enterprises deploy autonomous AI agents, the real constraint is becoming governed access to trusted data — not just more models. $RBRK’s Annapurna is building exactly that layer: indexing unstructured data in place, preserving Zero Trust controls, and turning the backup estate into a secure, queryable foundation for AI. In a world where agents can move fast and break things, the company that already owns the governed copy of enterprise data is well positioned.
@convequity

Convequity on X

The complacency is the point. Gas-directed rigs are still only in the low-to-mid 120s and the trend remains essentially flat. Turbine lead times run 3–5 years and the major OEMs are already sold out into 2029–31. Data-center announcements are loud today, but the actual incremental gas draw from behind-the-meter and new generation does not hit the system until the turbines arrive and the sites come online. That lag is why the market can keep treating gas as abundant through 2026–27 even as the structural deficit builds. When the convexity shows up, it will likely arrive later and harder than most are pricing. $EQT, $AR, $CRK

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Vicor uses ITC exclusion-order cases to license power-module patents, with published royalty multipliers rising from 1.0x before filing to…

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