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Monday, October 5, 2026

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$SNOW conference call is the bear case for application software companies. Their data infrastructure combined with coco and cowork on top increasingly makes SNOW a key player in data migrations, and data consolidation for their customers and a key hub to switch between models means SNOW has a seat at the table to be one of the most important and internal pieces of an AI stack....and as they become the permissions data holder with governance and api/mpc to internal and external partners, they can actually become the system of record across applications. This would allow you to use tools like cocoa inside to contextualize in human language what you want built, or even what data/answers you want and how you want that visualized.... Compare this to a Salesforce that is essentially becoming a database company silo to their specific domain by opening up their data to Claude to be the work engine. Eventually companies will increasingly want to stop interfacing with multiple applications to query and want to UI and query across a singular interface (originally thought to be an LLM like Claude, but with specific training and different inference costs / intelligence across models its more like the player presiding over the biggest pool of company data (snowflake, databricks) could become that central payer - less model lock, more flexibly, and central access point for models, data, queries and ui across functions. May not relegate a salesforce obsolete but significantly destroys their value when people access from Snow or even from an LLM like Claude were they lose the ui interface, and behavioral association and slight shared/learned network effects and become a database. Increases switching costs overtime and certainly destroys pricing (agent force consumption model is a step in the modern pricing setup, but start based models are dead, its not an if for most applications without highly defensible and proprietary data) $PEGA, $APPN, $PATH, $CRM, $PAYC are first pass through som of the more exposed names

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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 $39B
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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