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Show HN: Edky, a CLI to convert Ed25519 public keys from one encoding to another

Tue, 07/21/2026 - 2:09pm

Everything increasingly runs on Ed25519 keypairs, but Ed25519 public keys can be encoded as text in dozens of surface-incompatible different ways: hexadecimal, Base64 (OpenSSH), Base32z (iroh, pkdns), Base58 (NEAR), and Multibase (IPFS, libp2p), just for starters.

Edky is a command-line tool and Rust library that converts between these Ed25519 surface encodings, aiding use of the same underlying keypair across e.g. an iroh endpoint, a libp2p peer, or a NEAR Protocol account. (Surprisingly, a conversion utility like this didn't yet exist!)

$ cargo binstall -y edky $ edky convert -f iroh -t libp2p 47pjoycnsrfmxikm95jh13y88e8qnhzu5kungjpxyepgt7a8krpy z6MktwupdmLXVVqTzCw4i46r4uGyosGXRnR3XjN4Zq7oMMsw $ edky convert -f libp2p -t iroh z6MktwupdmLXVVqTzCw4i46r4uGyosGXRnR3XjN4Zq7oMMsw 47pjoycnsrfmxikm95jh13y88e8qnhzu5kungjpxyepgt7a8krpy $ edky convert -f near -t hex ed25519:FVen3X669xLzsi6N2V91DoiyzHzg1uAgqiT8jZ9nS96Z d75a980182b10ab7d54bfed3c964073a0ee172f3daa62325af021a68f707511a $ edky convert -f hex -t near d75a980182b10ab7d54bfed3c964073a0ee172f3daa62325af021a68f707511a ed25519:FVen3X669xLzsi6N2V91DoiyzHzg1uAgqiT8jZ9nS96Z

Comments URL: https://news.ycombinator.com/item?id=48995935

Points: 1

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Show HN: Autoretrieval – Autoresearch for RAG Pipelines

Tue, 07/21/2026 - 2:06pm

Hi, inspired by Andrej Karpathy's autoresearch, I built autoretrieval, a small framework that lets an AI agent improve a RAG pipeline by running experiments against an evaluation dataset.

The agent edits the retrieval pipeline, runs an eval, checks whether the F-beta score improved, keeps or discards the change, and repeats. It can try different chunking strategies, chunk sizes, the number of retrieved chunks, embedding models, keyword retrieval, and more, while keeping a log of every experiment.

The repo also includes a script that generates question and reference-highlight pairs from any document collection. This makes it possible to optimize a RAG pipeline for domain-specific data.

On one of my own RAG pipelines, it more than doubled the F3 score after a few hours of running experiments.

I'd love to hear any feedback or ideas.

Comments URL: https://news.ycombinator.com/item?id=48995907

Points: 1

# Comments: 0

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