What makes this interesting to me is that it is not really a privacy story first. It is a systems design story. Privacy just happens to be where the weakness becomes visible.
I used to dismiss this whole category because it sounded like blockchain trying to fix a problem it had partly created. Public ledgers made verification stronger, yes, but they also made exposure feel normal. That always seemed incomplete. In real life, the question is rarely “can this be verified by everyone?” It is usually “can the right parties verify the right thing without creating new risk?”
That distinction matters more now. Apps need to confirm user status without holding unnecessary personal data. Businesses need to settle, report, and coordinate without revealing every internal relationship or contractual detail. AI agents complicate this further. If an agent makes a payment, accesses a service, or triggers a workflow, someone may need proof that it acted within policy. But very few organizations will accept a model where verification requires raw data to be pushed into public view.
That is why most existing approaches feel awkward. They either preserve privacy by moving trust back offchain, into closed databases and intermediaries, or they preserve openness in a way that makes ordinary commercial use harder. Neither really solves the underlying coordination problem.
So when I look at @MidnightNetwork , I do not mainly see a chain selling secrecy. I see an attempt to make proof more usable under real constraints. The likely users are regulated apps, businesses with compliance exposure, and systems that need machine actions to be auditable. It works if it makes trust cheaper. It fails if it makes operations heavier than the old workaround.
