Thank you. Most HN posts are early-stage, where things are unfinished and mistakes happen, and are posted by the founder / creator for feedback (in part to cat

Thank you. Most HN posts are early-stage, where things are unfinished and mistakes happen, and are posted by the founder / creator for feedback (in part to catch those; we all have a blind spot with our own products!), so I wouldn't worry about it. At least with my community, such posts don't impact your reputation at all. General mantra is to share early precisely to catch those things, and it's important before adopting a tool, but unless things are secretive, it's best to share version 0.1 for feedback rather than to wait for something finished and polished. My advice is to take what you wrote above, write it in enforceable legal language, and post it on your web site. It will go a long ways to driving adoption. Once you add team and enterprise features, post similarly strong language about privacy and security. If I am managing regulated data in my day job (which I am), there had better be darned tight guarantees that FERPA/HIPPA/attorney-client/classified/etc. data doesn't end up sold to the highest bidder when your business goes under, gets bought by IBM, repackaged and sold to Oath, and finally resold to the Russian mafia. Footnote: I would likely pay for the right enterprise features, especially around collaboration. On the other hand, with progress in LLMs, AI features can very much run locally on a $350 Arc 770 16GB GPU. The newer 7B models are very competitive with ChatGPT!