Fork of Rsync
Hello. After hearing of the problematic LLM commits in rsync, I made a fork of rsync. I decided to fork it off release 3.4.1, since I heard that's the last release without the LLM code.
Does the same job
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- RARustyBox – a Busybox fork written in Rust2019 · github.com · ▲114

- ACA cleaner alternative to the “Fork Me on GitHub” ribbon2015 · github.com · ▲45
- DADsync: a tool to sync source directories/files to a target directory2024 · github.com · ▲7
Hello HN. I worked on this small project recently called dsync. I have a few directories where I keep adding stuff and I need to sync them to an external drive from time to time. In the spirit of "write your own tools", I wrote my own. The tool itself is really simple. It tries to sync source directories or files to a destination directory based on size and modification time, basically copying the source files if they don't match. dsync can use multiple threads (specified via an option). It uses a bounded multi-producer multi-consumer queue (C implementation of Dmitry Vyukov's bounded MPMC…
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, June 2026
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Fundraisly▲1,544AI fundraising agent that finds investors and books meetings
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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hope you enjoy
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- IM
Life & fun · Jun 2026 · hackernewstrends.com