This guy just raised $5.1 million for an AI that built 1,000+ startups. His process is insanely logical. That's Marik Hazan of Feltsense & his process is (roughly): Step 1: scrape social. find pain points. turn them into business ideas Step 2: assign ideas to one of its AI... "founders" Step 3: an AI founder builds a landing page Step 4: AI founder tests demand -- it even has a wallet to buy ads Step 5: AI founder emails (and even calls!) buyers and waitlist members Step 6: based on feedback, the ai founder kills the idea, pivots or doubles down I did a full screenshare to see how it all works. (yt link in 1st comment) Is this the future of entrepreneurship?show more

all fun and games until the ai founder realizes the highest roi is just launching another course on how to build ai founders. we've automated the grift.

lol. This must be some ai comment.

Everyone keeps asking for the yt link to these things, soooooo

Did you play the drinking game where every time he says “essentially” you guys take shots off camera?

Thanks for having me on!

Hey, you're on X! I searched so much and couldn't find you. Turns out you just have your name as your Twitter handle. Right on!

Even if imperfect, I think there's a lot to be said for testing ideas this way. Even if it's not great, if it finds an ideas that "hits" without spending tons of money that's a huge win. Then you need to actually go build the company. This is a pure idea validation play, IMO.

I thought what he was going to do was just create an MVP machine and then have humans take over, but he still believes that there's more room for the agents.

Definitely, with crew of agents. It makes sense. You focus on pain points, that is where value is created.

i dont get it. is it like polsia ? or only he can generate these companies.

Yes, and his company owns all the startups.

so the AI scrapes twitter for pain points, builds a landing page, buys ads with its own wallet, and cold calls people. that's not the future of entrepreneurship. that's a spam cannon with a venture deck. the hard part of building a startup was never the landing page or the ad buy. it's giving a shit about the problem long enough to push through the part where nobody cares. no AI founder is doing that at 2am wondering if they made a terrible life decision. that's the moat.

What I think is neat about this narrative is that he's automating the thing that would have taken tons of money and manhours to do before. It's a great "many shallow wells" strategy and I am curious to follow along and see where it goes.

Yeah, the surprising thing is that he's planning on going deep with those wells. He thinks that he can run these companies using AI.

Notice how every step requires deep business context: - What pain point to solve? - What pricing model? - Who's the ideal customer? - What makes THIS startup different? That's the layer most AI builders skip. One structured doc with your business DNA — a "Soul File" — and every agent you deploy actually knows what it's building for.

Love the logical approach! That's the kind of innovation we need to fuel the AI revolution 🚀

The best time to validate a business idea is before you build it.

did he mention more about the tech he uses, are these plain agents, openclaws, how does he set their personalities or goals

Available?

Step 4 is what makes this interesting - giving AI a wallet to test demand before building anything real. Most startup playbooks skip validation entirely. Having AI run actual ad spend removes the biggest bias founders have - thinking their idea is great without proof.

interesting but feels like a high-volume low-quality play. saw something similar with gpt startup ideas and most fell apart fast. how do you validate real market need beyond just scraping? feels like the human insight is still critical

Are we having indie agents now!?? Come on guys!!? We all trying to build something here 🐢. This is a new monopaly game !! I better fireup my own 1man building team today!! 🚀

The AI startup factory model is fascinating. Scrape pain points, validate with data, build with AI agents. 1,000+ startups from one system shows where venture creation is heading. The bottleneck is no longer building. It's finding the right problem to solve.

Essentially

what do you mean?

in few years am sure AI gonna replace and automate me also

Step 3 should be: none of those 1000+ startups will make money because finding pain points and assigning them to AI is half the work