Ask HN: What tech is under the radar with all attention on ChatGPT etc.

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

Nutrient - The #1 PDF SDK Library
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  1. ch32v003fun

    Open source minimal stack for the ch32 line of WCH processors, including the ch32v003, a 10¢ 48 MHz RISC-V Microcontroller - as well as many other chips within the ch32v/x line.

    Commodity RISCV chips. Some of these have just entered mass production, such as the CH32V003 (10 cents each in 1k quantities).

    https://github.com/cnlohr/ch32v003fun

    Fully open source stack!

    Grab the below eval board and peck around:

  2. Nutrient

    Nutrient - The #1 PDF SDK Library. Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.

    Nutrient logo
  3. web-llm

    High-performance In-browser LLM Inference Engine

    > In its current state, can you train on PyTorch, export to ONNX, load ONNX in JavaScript/WASM, then use it for WebGPU inference?

    I believe so. Onnxruntime very recently merged a WebGPU backend: https://news.ycombinator.com/item?id=35694553

    You can also go directly from PyTorch to WebGPU with Apache TVM. (ONNX is also supported, but my understanding is that it's better to go direct). This is an example using an LLM trained with PyTorch (I think) and run in the browser: https://mlc.ai/web-llm/

  4. TablaM

    The practical relational programing language for data-oriented applications

    New databases.

    Is probably the most "under the radar" of all. Is interesting how much attention you get from people about this stuff (when talking about implementation).

    Is like, literally, only make a splash AFTER at-minimun you have something competitive with a major stablished product.

    But you get more "views" talking about compilers than talking about DBs!

    (except when talking about compilers that use the relational model. I probably should rebrand https://tablam.org as a "lisp"! -no accurate, but whatever-)

  5. onnxruntime

    ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

    I can't seem to figure if the PR for the WebGPU backend for onnxruntime is supposed to land in a 1.14 release, a 1.15 release, has already landed, isn't yet scheduled to land, etc? https://github.com/microsoft/onnxruntime/pull/14579

    https://github.com/microsoft/onnxruntime/releases I don't see it in any releases yet?

    https://github.com/microsoft/onnxruntime/milestone/4 I don't see it in the upcoming milestone.

    I don't see any examples or docs that go with it

    https://github.com/microsoft/onnxruntime/wiki/Upcoming-Relea... This seems to be out of date

    https://github.com/microsoft/onnxruntime/tree/rel-1.15.0 I do see the js/webgpu work merged into here so I guess it'll be released in 1.15.0

    https://onnxruntime.ai/docs/reference/releases-servicing.htm...

    > Official releases of ONNX Runtime are managed by the core ONNX Runtime team. A new release is published approximately every quarter, and the upcoming roadmap can be found here.

    ONNX Runtime v1.14.0 was Feb 10th

  6. bacalhau

    Compute over Data framework for public, transparent, and optionally verifiable computation

    Very selfishly - distributed compute. Not decentralized, distributed.

    Compute and data are being created and run everywhere, we need platforms that understand how to use it and get insights without (or before) moving it.

    Our contribution: https://github.com/bacalhau-project/bacalhau (think Kubernetes but built for the distributed world).

    Disclosure: I co-founded the Bacalhau Project

  7. duckdb-wasm

    WebAssembly version of DuckDB

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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