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Hi, and have a good day 👋

I've been a programmer for more than 10 years. If I could afford it, I would spend 100% of my time on open source. That's not a reality yet, but with your help we can make it happen!

Each contribution I receive increases the depth and time I can spend on maintaining my open source projects, contributing to other projects, or creating new ones. Please consider sponsoring me.

I work on a number of other open source projects. Here are a few:

  • NodeDB - A hybrid, modern, multi model, offline-first database with first class embedding, wasm, and cluster support.
  • Machine Learning in Rust - I comprehensive, machine learning ecosystem written in Rust, to allow full machine learning workflow completely in Rust.

If you or your company use any of my projects or like what I’m doing, please consider backing me so I can continue maintaining and evolving all my projects and new ones. I'm in this for the long run.

Alternatively, one time contributions as a "thank you" for past work are an excellent way to show appreciation. Note that there are no direct rewards provided as I am doing this on the side.

Sponsorships are for me personally and are not affiliated or connected with my employer in any way.

Thank you for your support! 🙌

@farhan-syah

I hope I can work full time on open source projects. It will also make me feel appreciated, and continue to work hard, and continue helping other people.

Featured sponsors

@mzayn
@kenthan1
Private Sponsor
Past sponsors 3
@kenthan1
Private Sponsor
@mzayn

Featured work

  1. NodeDB-Lab/nodedb

    Document, columnar, KV, Graph, Vector, Array - The only all-in-one database that you need.

    Rust 154
  2. ml-rust/splintr

    A high-performance tokenizer (BPE + SentencePiece) built with Rust with Python bindings, focused on speed, safety, and resource optimization.

    Rust 59
  3. ml-rust/numr

    A high-performance numerical computing library for Rust with GPU acceleration, inspired by Numpy

    Rust 38
  4. ml-rust/venus

    Reactive notebook environment for Rust that uses standard .rs files. Features process isolation, hot reloading, and instant compilation via Cranelift.

    Rust 33
  5. ml-rust/regexr

    Regex engine specialized in tokenization and LLM text processing

    Rust 26
  6. ml-rust/boostr

    ML primitives for you to build your own AI/ML framework. Built on numr.

    Rust 18

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