SaaS is minting millionaires again (here's how)

It's important to start with a sub-niche within a large market. For example, you should choose a Gen Z-focused niche like the FIRE (Financial Independence Retire Early) movement within the finance market.

By mapping the workflow end-to-end and identifying where money changes hands, you can find points where software can provide value.

Initially, perform the workflow manually as a service business, and through that experience, identify mechanical tasks that should be automated, which will form the foundation for future SaaS development.

Content creation is a core business function; post at least one piece of content daily, and deploy organically successful content as paid ads.

By transitioning the pricing model from per-seat to per-task, and eventually to outcome pricing, you can differentiate from traditional SaaS companies.

AI agents excel at mechanical tasks; by separating them from judgment tasks and turning them into workflows, efficient automation can be achieved.

The orchestration layer will become the new interface layer, and coordination and validation among agents will be a critical value layer.

Accumulating user preferences and memory (long-term memory) in the system will become a product differentiator (moat).

Quantifying time savings clarifies the value proposition. For example, saving 50 to 150 hours annually for executives earning $250,000 to $1,000,000 would be worth tens of thousands of dollars, calculated at $400 per hour.

The ultimate goal is to become the default execution layer for that sub-niche, integrating multiple agents, and building switching costs through data and memory.