The flood of new product creation is real.

It is much easier now for founders to get something working, launch it, and move on to the next idea if they want. That is an incredible change, but it also creates a different kind of pressure.

More products now have to compete for the same attention, the same buyer focus, and the same willingness to evaluate something new.

That means the part after launch matters even more than before.

Not just having a good product, but being able to run research, targeting, outreach, follow-up, and content in a way that stays coherent over time.

That was the broader shift that led us to build Ultron. We were less interested in another surface for idea generation and more interested in the part that helps a founder actually operate once the product exists and the market starts pushing back.

The more I think about it, the more it seems like vibecoding increased the importance of post-launch execution rather than reducing it. Building got cheaper. Attention did not.

So Ultron is built for that second part, the operating part. Once a product exists the work stops being creative and starts being operational, and operational work falls apart the moment it lives in six disconnected tabs.

That is why the product does not come alone. It comes with the CRM that holds your customers, the pipeline that tracks your deals, the agreements that close them, and the files behind all of it. It can reach the platforms your buyers actually live on, including the ones behind walls, through custom scrapers on residential proxies, and it keeps an email validation pool so outreach does not rot. The point is not more features. The point is that research, targeting, outreach and follow-up stay connected to each other.

The other thing we kept running into is cost. Most of what people assume needs AI does not. A lot of it is automation, background jobs, missions and loops, and none of that has to spend a single credit. AI should be the expensive exception, not the default. So here it is. When you do want a model, there are four effort levels sitting on a fusion of Deepseek V4, GLM 5.2, Kimi K2.6, GPT 5.4, Opus, Qwen 3.7 and a few more. You choose how hard to think, not which model to think with.

Everything else is meant to be discovered, because Ultron is built to be hacked. You wire up what your stage actually needs. And it runs on what I think is the most AI-native desktop interface out there, because operating after launch deserves better than a chat box.

If you have shipped something and then hit the wall of actually selling it, that is the exact moment we built this for. I would love to hear where it got hard for you.