
When I first shipped Yumzy, it worked.
People could find recipes, get ideas, and interact with food in a smarter way. But like many first versions, it was more of a proof of execution than a fully formed product.
V2.0 is different.
This post is about what changed, why it changed, and what I learned while rebuilding Yumzy—from both a product and mindset perspective.
Yumzy is an AI-powered cooking assistant that helps people:
The core idea hasn’t changed.
The execution has.
V1 taught me a hard but useful lesson:
Shipping fast is good. Shipping without a clear product spine isn’t.
Some issues became obvious over time:
Instead of patching things endlessly, I decided to step back and rebuild with intention.
In V2.0, every feature answers one question:
“What problem does this solve for someone who is actively trying to cook?”
If it doesn’t:
…it doesn’t ship.
This removed a surprising amount of “nice-to-have” ideas.
One big shift was treating AI as a system, not a magic box.
Instead of free-form responses, Yumzy now focuses on:
This made everything better:
AI became reliable, not just impressive.
V2.0 is built with long-term maintenance in mind:
This wasn’t about “enterprise-level” complexity.
It was about not hating my own code three months later.
A subtle but important change:
Yumzy V2.0 avoids noisy UI patterns.
The goal is to help users decide what to cook and move on with their day.
Ironically, this made the product feel more premium and calm.
Most importantly:
building V2.0 made me a better builder, not just a better coder.
Yumzy V2.0 is now a stronger base for:
For now, the focus is simple:
make the product genuinely useful, every single time someone opens it.
V1 is about proving you can build.
V2 is about proving you understand what to build.
Yumzy V2.0 is my attempt to do the second part right.
If you’re rebuilding something right now instead of chasing the next shiny idea—you’re probably on the right path.
The first $500 MRR is the hardest milestone because everything is manual and nothing compounds yet. The founders who get through it are usually the ones with conviction about a specific problem rather than a general vision.
What's the specific problem you're most confident about solving?
The first $500 MRR is the hardest milestone because everything is manual and nothing compounds yet. The founders who get through it are usually the ones with conviction about a specific problem rather than a general vision.
What's the specific problem you're most confident about solving?