He's setting a dangerous trap for others - just like they did when they said they were firing all human support and then rehired them later.
Yes, Klarna can rebuild everything because they have hundreds of engineers and effectively infinite runway - but they're pretty much saying "just rip out your entire tech stack and rebuild it from scratch", cool, but most founders can't make that choice.
toomuchtodo · 18h ago
There is no cost for the clout chasers, just for the rest of us. It’s unfortunate.
NitpickLawyer · 18h ago
Meh, at this point what the ceo of klarna says is irrelevant, and it's clear it's just for attention.
The underlying discussion is interesting, IMO: what's the future of SaaS solutions? That is not so certain. There are some companies that will continue to lead, but there are also lots of solutions that are either too bloated, or too expensive, or too captive to make sense in the mid-long term. With the help of AI assisted coding, I could see companies investing in a small team of dedicated SaaS replication, in-house, for much better fit, feature parity and lower cost overall.
arnon · 17h ago
Agree - not every company is going to """vibe code""" their own ticketing solutions - it's just not an integral part of running their business.
Having a more tailored, "AI-native" solution is, well, the solution here.
Yes, Klarna can rebuild everything because they have hundreds of engineers and effectively infinite runway - but they're pretty much saying "just rip out your entire tech stack and rebuild it from scratch", cool, but most founders can't make that choice.
The underlying discussion is interesting, IMO: what's the future of SaaS solutions? That is not so certain. There are some companies that will continue to lead, but there are also lots of solutions that are either too bloated, or too expensive, or too captive to make sense in the mid-long term. With the help of AI assisted coding, I could see companies investing in a small team of dedicated SaaS replication, in-house, for much better fit, feature parity and lower cost overall.
Having a more tailored, "AI-native" solution is, well, the solution here.