Top all-time · #17144
Antfly
Company blog · antfly.io/blogdataai
Antfly is the company blog at antfly.io, writing about data and ai. Since 2026, 4 different Hacker News readers have linked it 5 times. It is still writing: the last post was on 2026-10-21, and you can follow it by feed.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
HN readers link Antfly, a search and inference database project, which its team has written about in a Go-to-Zig rewrite post. Commenters mention the project and its docs, not the writing itself.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
There's a simpler way to ground your AI. Antfly is the multimodal database: its built-in models read, transcribe, and index your files as they arrive. Run it locally for free, or in Antfly Cloud.
What Hacker News says?
We rewrote Antfly, which I introduced to the world a little bit back https://news.ycombinator.com/item?id=47414291 , from Go to Zig. Thought it is interesting to juxtapose to the Bun rewrite from Anthropic and wanted to talk about why we went the other way! Would love to talk about our process or the technology! Benchmarks against are linked in the article but here they are again for posterity https://antfly.io/rele…
Comment linking /releases/v0.2
on “A search-and-inference database from scratch in pure Zig”Submitted A search-and-inference database from scratch in pure Zig as a story · 66 points
HN discussionThis is very interesting! I noticed that your TypeScript SDK link results in a 404: https://antfly.io/docs/sdks -> https://github.com/antflydb/antfly-ts
Comment linking /docs/sdks
on “Show HN: Antfly: Distributed, Multimodal Search and Memory and Graphs in Go”Submitted Cheap code means formal verification is reasonable now as a story · 5 points
HN discussionWanted to share Antfly which I think serves a similar niche: https://antfly.io/ https://github.com/antflydb/antfly They’ve put a lot of effort into optimizing the local llm pipelines and I have a lot of faith in the devs working on it.
Comment linking /
on “Turning a pile of documents into a searchable useable knowledge base”