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Saturday, October 17, 2026· 2875 stock ideas· 217 writers·
17,487 views· 8,132 clicks

From X

@BrokenMoats 1 click

Broken Moats on X

$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
@convequity

Convequity on X

Exploring SaaS survival in the agentic era — $PANW vs $DDOG. Both sit on critical telemetry. Both expose MCP. On paper they look alike. They aren’t. Model labs have a real reason to build their own observability collectors. Coding agents write and ship code; to get better they need production feedback. Own the host telemetry, close the loop. That same incentive is much weaker for cybersecurity endpoint agents. Finding beacons and writing better code are different jobs. Building a Falcon- or Cortex-class sensor estate is years of trust, labeled attacks, and compliance — not a natural side quest for a model lab. Then there’s the screen. Datadog doesn’t own where developers live. They already live in Cursor / Claude Code / Copilot. So those agents pull Datadog in over MCP. The data plane stays sticky; the UI gets shared. Palo Alto usually does own where the SOC lives. The shift starts in the security console — cases, playbooks, response. In a PANW shop, Cortex is the main workplace. Claude can sit on top in a multi-vendor stack. That’s the risk but not the base case. Same idea — agents need the pipes. What’s different is who tries to own the collector, and who already owns the desk. Thoughts welcome. Full Part 3 write-up for Convequity subscribers is on its way.

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