I got caught up in the AI SaaS hype before.
At the time, it felt like every SaaS idea needed an AI angle. I built one too, and for a while it felt exciting. But looking back, I think I misunderstood where the actual value of the product should come from.
The main issue was that the product’s “aha moment” depended too much on the AI being good. As a small founder, that is a strange position to be in. You are building the product, but most of the user experience depends on model quality, latency, inference cost, and expectations shaped by much larger AI companies.
This time, I’m avoiding that.
I’m working on a SaaS product where value doesn't come from a model generating something impressive. It's about giving founders a User-focused dashboard that segments users based on activity, so we can understand what happens after users sign up, who is active, who disappeared, and who needs follow-up.
No AI, no agents, no chatbot. Just working on a problem I noticed while using other product/user analysis tools to understand and communicate with my users.
By the way, I’m not saying AI products are bad. I just think I personally underestimated how hard it would be to build a good AI SaaS, especially with a free tier and a model-dependent aha moment.
(For context, this is what I’m working on: https://postauth.app )
Wish you guys the best with your SaaS!
Comments URL: https://news.ycombinator.com/item?id=48189780
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