Building fast is easy — building right is hard
I read about a company recently — over 50 apps launched, just 3 of them successful. It’s impressive in one sense: the speed, the volume, the ambition. But it also reminds me how easy it is to fall into the “ship fast” trap without thinking enough about what you’re really building.
I read about a company recently — over 50 apps launched, just 3 of them successful. It’s impressive in one sense: the speed, the volume, the ambition. But it also reminds me how easy it is to fall into the “ship fast” trap without thinking enough about what you’re really building.
This hit me again while playing around with ChatGPT. Everyone seems to be using it — as a kind of default assistant — but not many go deeper. With the right prompting and structure, you can build genuinely powerful tools. I built a top-score dashboard the other day, connected it to Supabase, and started experimenting with how dynamic data could flow through. It’s not always easy — I hit limits in my own knowledge — but it showed what’s possible when you don’t stop at the surface.
That’s where I think tools like Lovable (and many AI builders) can feel a bit empty if you just use them to enter crap and get out crap. If you really take the time to think, to prototype, to design well — Figma, prompting, data flows — you can build something much more thoughtful.
The temptation to “just launch” is real. But building something meaningful? That still takes vision, intention, and craft.