Hacker News Reader

Comment by __m | Hacker News Reader

Unfortunately that’s the reality we live in. How do you compete if your competition is willing to move fast and break things? I guess the only option is to move to a provider that doesn’t disclose it’s ai use. Am i too pessimistic?

View on HN

You provide your customers with a service that gives them value. I've been a proton subscriber for 3 years because I value privacy and security. That's kind of (was) their whole thing. I didn't sign up hoping they would bolt on features and add a chatbot. I suspect that the majority of people using proton have a similar view, otherwise why bother with it?

An email service provider doesn’t need to move fast for any reason whatsoever, and should never, ever break things.

aye. email was solved years ago.

I don't need cutting edge features, I need a service that won't snoop on my shit and is otherwise reliable and trustworthy.

features like Proton Calendar and VPN make sense but again these aren't new concepts and don't require vibe coding or "move fast break things"

Why can't they just provide the service people like them for and do it well? There's no reason to move at all, especially not if it means breaking things.

a company that does not move will die. cheaper/better competitors will emerge, people will migrate.

> a company that does not move will die.

Which is of course not true and just the usual SV/MBA bullshit.

Lots of businesses around the world are happy and successful where they are without chasing the latest fads or trying to be unicorns.

Maybe look outside the SV bubble sometime and learn about the real world.

> How do you compete if your competition is willing to move fast and break things?

You focus on providing something that isn't broken. It's really that simple.

not so simple without using AI when attackers are. Proton being privacy oriented is a target of choice.

Shipping more feature doesn't make you more secure. Taking the time to evaluate and test what you are shipping does. The obvious conclusion is that if you want to go all-in on AI for some reason, you do so by using LLMs to do more testing in the same amount of time you would have used before. You supplement human expertise with LLMS.

You don't just yell at people to ship features faster, with less testing.

Reply on news.ycombinator.com