I recently installed @Augment Code based on an ad somewhere, and I'm super impressed, but haven't heard a peep about it in most channels. But it got me wondering what else I'm missing. This is a crowded field with a few frontrunners and a lot of more esoteric newcomers, but I want to know about the ones that blow your mind but hardly get any coverage.

Recently, I posted here about how Y Combinator launched a program that allows young people to study at a university while building a product.

Many young people today idolise the likes of Steve Jobs, Mark Zuckerberg, and other dropouts who didn t finish college but made it big with a breakthrough idea.

Have you ever considered the human biases that might slow down the adoption of your product?

I'm currently working on building my first AI product (coming soon!), and I wanted to share some thoughts on the adoption challenges I anticipate.

Traditional professions like doctors, judges, and the like need specialised academic guidance (certificate) + experience. I agree.

But what about technical and humanities? So far, everyone has argued that a university will bring contacts (I'm not arguing, that's true... but the same can be done with hustling/projects).

I m not very active on Twitter I usually take on the role of a silent stalker.

But I ve never seen such a flood of posts about AI being used in medicine as I have recently.

These caught my attention the most:

There are plenty of tools that seem useful on paper, yet something makes us close the tab instantly.

Sometimes it s pricing, sometimes messaging, sometimes the onboarding feels unclear.

Often it s a gut feeling that s hard to explain.