fedupofslop
8 hours ago
It's tough, I decided to take the plunge (throwaway account) to do it and it was basically serendipity. Knew someone who angels, he was trying to mentor a startup that wasn't doing well, connected me to the bootstrapped founder, and we hit it off and went from there. To be honest, if you've worked in Big Tech, it's non trivial to make the switch to AI native SaaS, particularly if it's a tarpit idea. To give you context, I took a leap of faith on trying to scale a Lovable equivalent in India, and while the thesis was sound, the tech was good and worked great, the non-technical hurdles are quite insurmountable without doing rage bait type growth hacking or simply throwing money at the problem. The alternative if you want to start something in software is to go 'deep and vertical', which in practice ends up looking like AI first software agencies/neofirms. Pricing is also a challenge, and most people are doing variations of the same thing. As someone who took this plunge to work for negligible salary and a bunch of equity and has a few regrets (although I'm trying to pivot the company), the most important thing I'd optimize for is finding a team that's truly talented and driven and doesn't have AI psychosis. The other thing that is probably going to be motivating for you as a technical person, is working on a HARD problem, where the challenge is not just distribution or CAC:LTV shenanigans. There are plenty of startups attacking greenfield spaces like robotics that are capital constrained and need experienced people to solve tough problems. I know of one myself that has a modest seed funding round and is doing well. If you're talented, I'd search for such diamond in the roughs, so first time founding teams with really strong visions/hard problem space and moderate capital where you'd add a lot of value and they'd be more open to giving up a bit more equity.