mklifelife

Looks great.

I'm curious whether the primary users are AI-native document products or more traditional SaaS applications.

The document-app niche feels increasingly important with the rise of AI workflows.

One thing I've noticed recently is that building has become much faster than validation.

AI agents can help ship products surprisingly quickly.

The harder question is whether anyone actually wants what you're building.

I've found myself spending more time thinking about customer acquisition and distribution than coding.

Tools that help people use waiting time productively make a lot of sense in that context.

Five years is an impressive commitment. In a world that often celebrates speed, it's refreshing to see long-term creative projects that require patience and consistency.

I like the focus on learning rather than replacing learning. One risk with AI tools is that people can become very productive without actually understanding the underlying domain. Tools that help users learn while using AI feel much more sustainable long term.

It's interesting how AI is making software development dramatically faster, but quality is becoming an even bigger differentiator. Building is no longer the bottleneck for many founders. Knowing what to build and maintaining quality are becoming more important.

Local-first products seem to be getting more attention lately. Privacy and speed are becoming strong selling points again. What made you decide to build a standalone reader instead of a browser extension?

Very interesting use case. The original voice preservation is what makes this stand out from many translation tools. Curious what your biggest challenge was: translation quality or voice cloning quality?

I've been using Codex for a small SaaS project recently.Curious whether running everything in the cloud changed your development speed or mainly improved collaboration.

Very cool.

There's a lot of complexity around AI agents right now, so I appreciate examples that keep things simple and easy to understand.

Did building it in such a small codebase require leaving out any features you originally wanted?