It should be drop in semantic search for any text. No need to worry about what models, what database, how the data is processed, dealing with performance concerns. None of that. Just vector search.

This last year I was working on an app for Macs which required doing vector search. The local AI/ML libraries for Apple devices are lacking, which means the only real option is to use an API. I didn’t want to do that, so I started working on my own library. It worked well enough for my uses that I eventually decided to split off my library from the app which used it.

I reached for Zig for its C-level performance and portability, but with modern conveniences. I used CoreML for the ML runtime, as it is the most natural way to run ML models on Apple devices. Unfortunately, it's not particularly common to release CoreML versions of models. I had to manually convert ML models from PyTorch/ONNX to CoreML in order to make embedding seamless.

Getting started with the library is straightforward, there are a few Zig examples in the repo. It also has experimental Swift and C/C++ bindings. It only supports Macs for now, but support for other platforms is planned. Feedback is greatly appreciated!

Comments URL: https://news.ycombinator.com/item?id=47413425

Points: 2

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Comments URL: https://news.ycombinator.com/item?id=46857223

Points: 2

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Comments URL: https://news.ycombinator.com/item?id=46768177

Points: 1

# Comments: 0

I totally agree with you that most notes apps miss the mark. I’m working on one now which I hope satisfies the same requirements as Apple notes(dead simple, iCloud sync, free) but has some things I want (improved search, first class markdown support).

I’ve been using it as my daily driver for a while, but it’s not quite ready for other users yet. I wrote a bit about it in my year in review[1] under the section “Not Another Notes App!”.

1. https://emmettmcdow.com/posts/2025-in-review

Not to discount how negative free speech restrictions are, but I’m not so sure how effective that particular propaganda campaign would be.

How would the payout split work? It wouldn’t seem fair to the investors if the founder profited X million while the investors get their original money returned. I understand VC has the expectation that 99 out of 100 of investments will net them no money. But what happens in the cases where money is made, it just isn’t profitable for the VC firm.

What’s to stop everyone from doing this? Besides integrity, why shouldn’t every founder just cash out when the payout is life-changing?

Is there usually some clause in the agreements like “if you do not return X% profit, the founder forfeits his or her equity back to the shareholders”?

At the end of the day, we all have to build things that simply work and provide business value. Striving for perfect code is not the goal. But it does make me wonder: does perfect software even exist? If not, what's the gold standard?

Comments URL: https://news.ycombinator.com/item?id=45983118

Points: 10

# Comments: 13

Measure(communicate) twice, cut(build) once.