The author defends e-means as a superior, drop-in replacement for Lloyd's algorithm that uses scaling laws to automatically tune hyperparameters and escape local minima faster. Critics argue the method relies on known techniques like exponential moving averages and mini-batches without sufficient novelty or rigorous comparison against well-tuned baselines like scikit-learn's implementation.
81 readable replies · Supporting reply 1 · Supporting reply 2 · Supporting reply 3 · Supporting reply 4antflydb
antfly
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antflydb / antfly
antfly
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| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
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| Mar 16 | 2026-03-16 00:00:00 UTC | 2026-03-23 00:00:00 UTC | 4 | 1 | 3 |
| Mar 23 | 2026-03-23 00:00:00 UTC | 2026-03-30 00:00:00 UTC | 0 | 0 | 0 |
| Mar 30 | 2026-03-30 00:00:00 UTC | 2026-04-06 00:00:00 UTC | 0 | 0 | 0 |
| Apr 6 | 2026-04-06 00:00:00 UTC | 2026-04-13 00:00:00 UTC | 0 | 0 | 0 |
| Apr 13 | 2026-04-13 00:00:00 UTC | 2026-04-20 00:00:00 UTC | 0 | 0 | 0 |
| Apr 20 | 2026-04-20 00:00:00 UTC | 2026-04-27 00:00:00 UTC | 0 | 0 | 0 |
| Apr 27 | 2026-04-27 00:00:00 UTC | 2026-05-04 00:00:00 UTC | 0 | 0 | 0 |
| May 4 | 2026-05-04 00:00:00 UTC | 2026-05-11 00:00:00 UTC | 0 | 0 | 0 |
| May 11 | 2026-05-11 00:00:00 UTC | 2026-05-18 00:00:00 UTC | 0 | 0 | 0 |
| May 18 | 2026-05-18 00:00:00 UTC | 2026-05-25 00:00:00 UTC | 0 | 0 | 0 |
| May 25 | 2026-05-25 00:00:00 UTC | 2026-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 1 | 2026-06-01 00:00:00 UTC | 2026-06-08 00:00:00 UTC | 0 | 0 | 0 |
| Jun 8 | 2026-06-08 00:00:00 UTC | 2026-06-15 00:00:00 UTC | 0 | 0 | 0 |
| Jun 15 | 2026-06-15 00:00:00 UTC | 2026-06-22 00:00:00 UTC | 0 | 0 | 0 |
| Jun 22 | 2026-06-22 00:00:00 UTC | 2026-06-29 00:00:00 UTC | 0 | 0 | 0 |
| Jun 29 | 2026-06-29 00:00:00 UTC | 2026-07-06 00:00:00 UTC | 0 | 0 | 0 |
| Jul 6 | 2026-07-06 00:00:00 UTC | 2026-07-13 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
5 sourcesKAkamranjon·Jul 9, 2026
Wanted 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.
In Turning a pile of documents into a searchable useable knowledge basehttps://github.com/antflydb/antfly/pull/8
Upon another look it looks like we were actually missing the pause lock for the backfill operation too during a shard split though, I also went ahead and added it to batch for good measure although that case should be caught by the manager! Thank you for the report!
In Show HN: Antfly: Distributed, Multimodal Search and Memory and Graphs in Gohttps://github.com/antflydb/antfly/blob/main/src/store/db/in...
Comment on the Pause method indicates that waits for in flight Batch operations (by obtaining the lock) but Batch doesn’t appear to hold the lock during the batch operation. Am I missing something?
In Show HN: Antfly: Distributed, Multimodal Search and Memory and Graphs in GoI've added a specific example for that using the go-sdk https://github.com/antflydb/antfly/pull/5 here!
In Show HN: Antfly: Distributed, Multimodal Search and Memory and Graphs in GoShow HN: Antfly: Distributed, Multimodal Search and Memory and Graphs in Go
Hey HN, I’m excited to share Antfly: a distributed document database and search engine written in Go that combines full-text, vector, and graph search. Use it for distributed multimodal search and memory, or for local dev and small deployments.
I built this to give developers a single-binary deployment with native ML inference (via a built-in service called Termite), meaning you don't need external API calls for vector search unless you want to use them.
Some things that might interest this crowd:
Capabilities: Multimodal indexing (images, audio, video), MongoDB-style in-place updates, and streaming RAG.
Distributed Systems: Multi-Raft setup built on etcd's library, backed by Pebble (CockroachDB's storage engine). Metadata and data shards get their own Raft groups.
Single Binary: antfly swarm gives you a single-process deployment with ev
Read the rest
erything running. Good for local dev and small deployments. Scale out by adding nodes when you need to.
Ecosystem: Ships with a Kubernetes operator and an MCP server for LLM tool use.
Native ML inference: Antfly ships with Termite. Think of it like a built-in Ollama for non-generative models too (embeddings, reranking, chunking, text generation). No external API calls needed, but also supports them (OpenAI, Ollama, Bedrock, Gemini, etc.)
License: I went with Elastic License v2, not an OSI-approved license. I know that's a topic with strong feelings here. The practical upshot: you can use it, modify it, self-host it, build products on top of it, you just can't offer Antfly itself as a managed service. Felt like the right tradeoff for sustainability while still making the source available.
Happy to answer questions about the architecture, the Raft implementation, or anything else. Feedback welcome!