I'm not a lawyer so I don't know if an LLC would have to comply in the same way.
I do know that there was an operating agreement and we had a very strange meeting at one point where the CEO and the financial guy told us that we had the right to see the operating agreement. Someone who left shortly after must have hired a lawyer and demanded that.
I did see it the operating agreement but not the cap table. When I left the company I did not even know what a cap table was so didn't even know that it was a thing that existed. I only found that reddit post a year later. I'm post that link so that people don't make the same mistakes I did. There were a lot of other questions I should have asked before joining both startups.
Language in humans is a VERY strange behavior. I think the stoned ape theory may have some credence, as mushrooms do seem to excite linguistic capabilities.
It's impossible to enforce a law like this. The real solution is to create personal AI filters for each person that reads all the data for the user, filters out anything that doesn't enrich the user, and hides the rest. A general-purpose AI-enabled spam filter for your entire digital life.
This is because of the way most software is built. If you are using event modeling, it's very easy to estimate feature costs. The only exception is when you are truly innovating new algorithms so there is not a historical precedent you can refer to. This is not common work in the industry however, most software projects are variations of previous themes.
Sorry but I don't buy that a specific process can solve that problem. DDD can actually add quite some unnecessary complexity, not only because it requires that everyone is skilled to know how to apply it, but also because sometimes you really feel you're overenginerring things just to follow ... a model.
I know for certain that a specific way of doing things can and will improve a process. Nothing to say there. But "solving" a problem? Not sure about it.
Plus, sometimes you as a company don't know really what decision to make. PMs try to figure it out, get stuck, unstuck, and then suddenly a big company comes up with something new and your market is shaken. So again "what do I want?" which has an impact over everyone in the chain, because you must design something but keeping in mind that "it might be different in 6 months". So extensible, scalable, but hell please don't overengineer it, and yet I want it to run on K8s, but if a customer needs it in their data centers, we need to find a way to make it work there too, in a way that scales, but we can't give them a k8s cluster. It has to be easy to install, offer great UX and also be Fedramp and super secure, which most of the time means "either ... or".
Some industries are brutal.
Sorry I don't believe that a process can solve that problem.
Maybe in some specific industries where you have a lot of time, very well defined and predictable roadmaps it can work too.
The problem is that eventually, AI will get so powerful that it will block all ads on the client without anyway of detecting it. Adblockers today are very basic and have no understanding of the mind that is consuming the content. We must adapt and create new business models.
