I don't use AI for everything, but I use AI to make repeatable, auditable workflows. For DevOps, I don't just ask AI to go on my production server and fix all issues. I ask it to write scripts, which I audit, then I dry run, then I test, and finally approve and run on production.

I was just looking through HN search for "show HN", and I saw many fitness and calorie tracking apps.

A lot of them disappeared just after a few months of launch; a few of them survived a year, then died out as their domain name expired.

People are making things, but they are not reaching their "audience".

I created https://macrocodex.app/, launched on 16 Mar 2026, and reached 10,000+ monthly active users.

Fitness/Calorie tracking is a competitive space where there are tons of apps and services.

I could never have built such an app because I do not know how to design pages; I can talk to a designer, but from past experience, it takes them a long time to understand what the market wants and projects. And companies with small budgets find it very difficult to find a good guy.

Many of my projects never got shipped because I dreaded making landing pages, icons, UI, etc.

I am not saying we did a very good job with AI on landing pages or UI at all; that's not an area of my expertise; the domain knowledge is, but the fact that many people find it useful, I think I’ve succeeded.

I've even put a ticket system in the app for support and received a few bug reports, which I resolved.

Here's the latency of my other service: https://prnt.sc/6474F4gba_he

I no longer use managed services in AWS, and my costs are very low; this enables me to offer my apps and services for free to many users.