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Monday, October 5, 2026

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@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.

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Practical Parametric Yield

Cerebras’s WSE-3 faces parametric-yield constraints that could restrict supply, making power and clock-speed tradeoffs central to its next…

CBRS $33B
Irrational Analysis 3 clicks

Nike, Part Two: The Deep Dive

Nike’s second Latticework program examines the company and the global athletic footwear and apparel industry for professional investors.

NKE $52B
Latticework by MOI Global 1 click

Nike, Part One: The Story

Nike grew from a $1,000 shoe-distribution venture in 1964 into the largest sports brand, using athlete endorsements, product innovation and…

NKE $52B
Latticework by MOI Global 2 clicks

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