Pricing is the decision I revisited most as a founder — and got wrong the longest.
Data and AI platforms are structurally harder to price than the software before them. Three reasons. 🧵
False comfort:
"We're mission critical" — so is the database.
"Deep domain expertise" — if it lives in the UI, the call leaves it behind.
"Customers won't switch" — switching used to mean a migration project. https://t.co/C4gW9Ovifq
The same decision — exposing your product as callable tools — multiplies some companies and hollows out others.
The sorting isn't about execution quality. Four tests tell you which side you're on. 🧵
3. Is there a network on your side — counterparties, rails, a shared reference set?
4. Who carries the accountability when it goes wrong? That's the one the harness structurally doesn't want.
6. You get disintermediated from the outcome. The harness holds the goal and reports the result; you supply a step.
Only two of these are really about MCP. The rest was always the shape of the business. https://t.co/TfRL9qEl7P
When incumbents plan an MCP server it gets scoped as an integration project: which endpoints, what schema, how auth works.
All necessary. All beside the point. Six things dissolve, and the plan accounts for none of them. 🧵
4. Seats stop matching reality — one agent carries many logins' work.
5. Substitution becomes a config change. Interchangeability is the POINT of a protocol.
The version I'd defend:
Opening MCP doesn't cause obsolescence. It reveals whether you were ever more than a convenient interface over a commodity capability.
Same decision, opposite outcomes. https://t.co/BrvVGAZGyg
Almost every software incumbent is shipping an MCP server right now.
Correct decision. Also, for many of them, the moment their product stops being a product and becomes a component in someone else's workflow. 🧵
"So don't open it?" That fails.
Withholding doesn't keep work in your UI. It routes around you — a competitor who did open, scraping, automation driving your own screens. You lose distribution and stay just as exposed.
Same sequence running now, faster.
Don't aim to be earliest. Aim to still be standing, somewhere durable, when the dust settles.
Time in market is not a moat. Being first is not a position. https://t.co/5f1zyIMlLh
I founded a startup into the Big Data wave believing being early was the whole advantage.
It isn't. Early mostly buys you the bill for the market's education. 🧵
Then the dust settles, and narrowly. Big Data had enormous variety; cloud plus a few stacks was the long play.
Being early doesn't protect you from the shakeout. Consolidation rewards whoever owns a durable layer, not whoever got there first.