Compiling Matlab Code to Native Executables with RunMat

Hacker News

I'm on the RunMat team. Prior releases of RunMat focused on accelerating large math w/ auto offload to GPUs via transpiling to WGPU shaders, and correct interpretation of the MATLAB language semantics (we're 99%+ on grammar / semantics now). We left a placeholder for a Cranelift based JIT, and when we went back to fill it in, we though -- why not take it a bit further. Since we were putting in the logic for branches of the CFG to be compiled to native code, we figured why not fundamentally build it such that you could run "runmat compile simulation.m -o simulation" and get a standalone binary target. I.e. compile a MATLAB input project into to a standalone native binary target. We've detailed more in the blog. There's a bit of work we're finishing still, but a build with the core native compile pieces is now out (we still have to propagate some metadata through the runtime library such that the compiler can effectively tree shake, and some portions of the system still need Cranelift translation logic, but the remaining work is relatively mechanical [and already in progress]). The RunMat compiler and runtime are open source: https://github.com/runmat-org/runmat

Visit product View on Hacker NewsSep 10, 2026

Share card

Actual performance

3points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

RefRem, JVM Painless Compilation to Native Code54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RefRem, JVM Painless Compilation to Native Code

Hacker News5

Pion-WebRTC, a Go Native WebRTC Implementation66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pion-WebRTC, a Go Native WebRTC Implementation

Hacker News4

Native Carousel46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Native Carousel

Hacker News2

Compile for Arm at native speeds in an emulated system59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Compile for Arm at native speeds in an emulated system

Hacker News63

Yggdrasil 1.0 – Native executables for Shen56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Yggdrasil 1.0 – Native executables for Shen

Hacker News15

Native Bin2bin Obfuscator46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Native Bin2bin Obfuscator

Hacker News2

LuaJIT with Native SIMD46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LuaJIT with Native SIMD

Hacker News3

OpenAPI Fuzzer written in Java, compiled to native code52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenAPI Fuzzer written in Java, compiled to native code

Hacker News1

Streamlit with native multipage app functionality37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Streamlit with native multipage app functionality

Hacker News4

Codeless36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No-code native apps and sites

Indie Hackers2b2b

Browse all products Analyze your launch