shiv kumar sharma

While I was starting distribution of my first saas, one thing which I overestimated was that the sales would happen very quickly as the product I made was good enough for it. Turns out, the product did not even had a market fit. I also ran ads with a very small budget and thought it will easily be gained within a few days, and I was very wrong here.

AI also does the same thing. If you ask it to expect some numbers based on what people experience for your saas when you distribute with some method X, it will show some very aspirational numbers. But, when ask it to be honest or practical or brutally honest for the same, it's answer changes (in some cases, significantly).

I m curious how other makers approach this.

The more features a product has, the harder it becomes to explain it without overwhelming a new user.

Do you:

guide users step by step
give them a simple starting task
let them explore everything themselves
use videos/tutorials
hide most features until they need them
or something completely different?

I keep seeing tools talk about how many agents they can run in parallel or how much of the backlog they can take on.

But every additional agent also creates more work to review, more decisions to make and more places where something can quietly go wrong.