I assume that wax uses Apple's ANE to do embeddings (so no third-party services like OpenAI are needed). Did you happen to compare search quality when using ANE embeddings vs. OpenAI's text-embedding-3-large (or another commonly used online embedding)?
Would wax also be usable as a simple variant of a hybrid search solution? (i.e., not in the context of "agent memory" where knowledge added earlier is worth less than knowledge added more recently)
I'm German myself. To me this looks like a category of problem where you can no longer translate the word in the literal sense, because chances are low that the consumer understands the word ("Bremsschwelle" or whatever you end up picking).
Wouldn't it make sense to rather think of a completely different analogy? One that is really well-known by the target audience? From what I understand, you are building an app that inhibits people from doomscrolling. That is a well-established "German" word, too. Using that, people immediately understand what you mean, rather than trying to follow a broken analogy.