[bcrosby95]

Building a startup on an LLM is like building a house on a foundation of quicksand. As the LLM gets better it naturally erodes your moat. It's a completely different dynamic compared to the internet. It's why I'm watching this from the sidelines.

[PyWoody]

I have a close friend who is trying to build a company entirely on top of Claude. He doesn't know how to program. He can't do basic arithmetic. Yet, the company he's building is a "Data Science AI for the Government" because, according to him, all of the data scientists at NOAA don't know what they're doing.

I have given up on trying to get through to him how bad of an idea this is. He's unemployed and has been working on this for over a year.

[blitzar]

Sounds like YC material.

Y Combinator is accepting applications for the Summer 2026 Batch funding cycle. Make sure they don't miss out!

[ecshafer]

Scientists are pretty solid overall for the Government. Lots of Phds that decide to take the steady reliable income and solid benefits over the risk of Academia for a few post docs hoping for a professor job.

[PyWoody]

Yeah, I've tried explaining to him so many times that these are passionate people working their dream jobs. They are not slouches. He never listens and just doubles-down that since they work for the government they do the bare minimum for a paycheck. I'm guessing either Joe Rogan or Elon made this argument at one point and he's taken it as gospel.

Very frustrating.

[edm0nd]

Yeah that's the scary part about these coding LLMs.

Before, some idiot would pitch their stupid idea to dozens of local webdev companies and banks and get told dozens of times their idea is straight up stupid and never going to work and they are stupid.

Now these LLMs allows them to bypass all of that advice and create what they want without any input or even knowing how the tech behind it works.

We are so fucked lol

[intrasight]

Building a business on top of any SaaS platform is building on quicksand. I know that from experience.