Many founders have customers — yet every deal feels like a grind: long sales cycles, constant complaints, relentless price pressure, and problems that keep surfacing after the contract is signed. Their first instinct is "the product needs more work" or "the sales team needs to push harder." But the real problem sits further upstream — they opened the wrong door from the very beginning.

For the past 30 years, software companies have been benchmarking themselves against "IT spending." Global IT spending sits at roughly 1% of GDP—about $5 trillion. Every SaaS valuation model, TAM slide, and market analysis is built on this denominator. When investors see a deck claim "our TAM is $30B" or "we target X% of the IT budget," they automatically anchor to this framework. But vertical AI is rewriting one thing: what should actually be displaced is not the "software bu

More and more companies are posting impressive results lately. Revenue is climbing steadily, gross margins are improving, and ARPU (average revenue per user) is rising month after month. If you only look at these three numbers, you’d conclude these companies are in the best shape they’ve ever been. But when we decompose the numbers, the picture changes entirely. Net new customer or user additions have been flat for months — some are even trending slightly downward. Nearly all

You use AI to improve output. Others use AI to reshape how decisions are made. With the same tools and the same subscription cost, the difference in output between two founders after a year can be so large that it makes you question whether they are even operating on the same level of AI capability. At VENTURE+, after observing how startups have adopted AI over the past two years, we have identified a clear dividing line: the founders who use AI most effectively are not neces