I've integrated AI into several projects, and I kept running into the same problem.
Using AI APIs is easy. Predicting the cost isn't.
Every new feature made me wonder how much the next bill would be. Token-based pricing works, but it makes budgeting difficult, especially for indie hackers, startups, and side projects.
So I built Daymora.
Daymora gives developers access to AI models with one predictable monthly subscription instead of usage-based billing.
The goal is simple:
No token counting.
No surprise invoices.
No pricing calculators.
Just build.
Integration is straightforward, if you're already using an AI provider, switching typically only requires changing the base URL.
I'm actively improving Daymora based on user feedback, and I'd love to hear what you think.
Those first 28 users gave you several signals at once: search discovery, signups, feedback, and eventually revenue.
What’s interesting is that “genuine interest” can mean very different things depending on which of those signals you’re looking at.
I agree. Organic signups were encouraging, but the first paying customer was the signal that mattered most to me.
That makes sense. I'm curious what made that first customer different from the earlier signups — was there a specific use case, pain point, or moment that moved them from interest to paying?
yeah I added later a free trial i think that was one of the point that pushed them to pay, as they already test in trial
That’s interesting. Did the trial mainly help people understand the value before paying, or did you notice that the users who converted were already showing stronger intent before starting the trial?