nowfound

Dev tools · August 21, 2025

RunMat – a V8 inspired Rust runtime for the landlocked Matlab language

Why build this? MATLAB wasn’t chosen by engineers; it was inherited from classrooms. That unfair advantage let MathWorks sell a decades-old runtime with heavy startup, sluggish hot loops, and paywalled toolboxes. It milks about $500M a year out of the engineering ecosystem for what amounts to an outdated compiler and runtime stack. GNU Octave has been the main open-source way to run MATLAB code but it only supports a subset of the grammar and semantics, and its performance is far behind modern expectations. It’s more of a compatibility bridge than a true runtime alternative. I decided to…

RunMat – a V8 inspired Rust runtime for the landlocked Matlab language launched on August 21, 2025 with 15 votes, #814 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

Visit runmat.org ↗Alternativestop 10% of August 2025

In plain words

RunMat is an open-source Rust-based runtime for executing MATLAB code, designed as a modern alternative to MathWorks' proprietary compiler. It implements the full MATLAB language from scratch using a V8-inspired architecture that combines lightweight interpretation with JIT compilation via Cranelift for hot code paths. The tool targets engineers and researchers who use MATLAB but seek faster startup times, better performance on loops, and freedom from proprietary licensing. RunMat achieves approximately 5-millisecond cold start through snapshotting technology.

written from the facts on this page · September 2026

From the sources

A fast, open-source runtime for MATLAB code. Slim core written in Rust, V8-inspired execution, generational GC, and a package-first standard library.

This article was originally published in August 2025, when RunMat launched as an open-source command-line runtime for MATLAB-syntax code. That first release included 87 built-in functions, a basic set of 2D and 3D plotting tools, and the Turbine JIT compiler. Since then, 4,000 unique users have run an .m script with RunMat, with more than 35,000 script runs in total. The runtime has grown to more than 1,200 built-in functions spanning tables and timetables, statistics and machine learning, plotting, signal processing, text analytics, deep learning, finance, file I/O, graphs, and geometry. We also added automatic GPU acceleration across NVIDIA, AMD, Intel, and Apple hardware. RunMat now…from runmat.org

In the maker’s words, at launch

Why build this? MATLAB wasn’t chosen by engineers; it was inherited from classrooms. That unfair advantage let MathWorks sell a decades-old runtime with heavy startup, sluggish hot loops, and paywalled toolboxes. It milks about $500M a year out of the engineering ecosystem for what amounts to an outdated compiler and…

Does a similar job

all alternatives →
  • RunMat – runtime with auto CPU/GPU routing for dense mathDec 2025 · github.com · ▲21

    Hi, I’m Nabeel. In August I released RunMat as an open-source runtime for MATLAB code that was already much faster than GNU Octave on the workloads I tried. https://news.ycombinator.com/item?id=44972919 Since then, I’ve taken it further with RunMat Accelerate: the runtime now automatically fuses operations and routes work between CPU and GPU. You write MATLAB-style code, and RunMat runs your computation across CPUs and GPUs for speed. No CUDA, no kernel code. Under the hood, it builds a graph of your array math, fuses long chains into a few kernels, keeps data on the GPU when…

  • RuntimeMay 2026 · runtm.com · ▲299

    Sandboxed coding agents for everyone on your team

  • WM
    We made glhf.chat – run almost any open-source LLM, including 405B2024 · glhf.chat · ▲161

    Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…

  • Luminal – Open-source, search-based GPU compiler2025 · github.com · ▲153

    Hi HN, I’m Joe. My friends Matthew, Jake and I are building Luminal (https://luminalai.com/), a GPU compiler for automatically generating fast GPU kernels for AI models. It uses search-based compilation to achieve high performance. We take high level model code, like you'd have in PyTorch, and generate very fast GPU code. We do that without using LLMs or AI - rather, we pose it as a search problem. Our compiler builds a search space, generates millions of possible kernels, and then searches through it to minimize runtime. You can try out a demo in `demos/matmul` on mac to…

  • I built a tensor library from scratch in C++/CUDA2025 · github.com · ▲119

    Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…

  • High-Performance Wavelet Matrix for Python, Implemented in RustDec 2025 · pypi.org · ▲93

    I built a Rust-powered Wavelet Matrix library for Python. There were surprisingly few practical Wavelet Matrix implementations available for Python, so I implemented one with a focus on performance, usability, and typed APIs. It supports fast rank/select, top-k, quantile, range queries, and even dynamic updates. Feedback welcome!

More dev tools this month

the category →
  • /dev/null▲490

    a social network for devs

    Dev tools · 3d ago · dev-null.sh

  • open-source IDE for thoughtful software design. Contribute to devdotfast/whiteboard development by creating an account on GitHub.

    Dev tools · 28d ago · github.com

  • Contribute to reladraw/reladraw development by creating an account on GitHub.

    Dev tools · 26d ago · github.com

  • OpenBot▲362

    Grok Bot alternative: free, local, open-source, multiplayer

    Dev tools · 23d ago · openbot.run

  • Talanoa▲346

    Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…

    Dev tools · 21d ago · talanoa.email

  • CoreSpeed▲332

    One MCP for everything your agents need: apps, memory, tools

    Dev tools · 29d ago · corespeed.io

Source: Show HN post ↗ · launch text quoted in part

Launched alongside, August 2025

the whole month →
  • Trace▲1,555

    Workflow Automations for the Human 👾 AI Workforce

    AI · 2025 · trace.so

  • I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/

    Work · 2025 · benholmen.com

  • Job boards are dead. Your network is alive

    AI · 2025 · contra.com

  • Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…

    AI · 2025 · github.com

  • I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https://visualrambling.space/moving-objects-in-3d/ feel free to visit and let me know what you think!

    Life & fun · 2025 · visualrambling.space

  • For HTML Day 2025 [1], I made a web service that displays the current sky at your approximate location as a CSS gradient. Colours are simulated on-demand using atmospheric absorption and scattering coefficients. Updates every minute, without the use of client-side JavaScript. Source code and additional information is available on GitHub: https://github.com/dnlzro/horizon [1] https://html.energy/html-day/2025/index.html

    Dev tools · 2025 · sky.dlazaro.ca