frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

I indexed 37h of my YouTube library using an RTX 4090 and local ML models in 24h

2•iliashad•1m ago•0 comments

Quill Cowork

https://www.youtube.com/watch?v=M97H4umU3pE
1•Bhavishya2011•2m ago•0 comments

FerroUI a cross-platform UI framework for Rust

https://ferroui.github.io/website/
1•wiso•3m ago•0 comments

The Linux 7.4 Merge Window Is Easily the Largest in Kernel History

https://www.phoronix.com/news/Linux-7.4-Massive-Window
2•acossta•6m ago•0 comments

The Future of the Internet

https://erikjohannes.no/posts/20261023-the-future-of-the-internet/index.html
2•speckx•9m ago•1 comments

Artists hiding painted pebbles around the world

https://www.bbc.com/news/articles/c674pvkkp2eyo
1•1659447091•10m ago•0 comments

How to Conquer a Nation Without Fighting [video]

https://www.youtube.com/watch?v=6NTDGriJZmU
1•PorciiVorbesc•11m ago•0 comments

Nouli – A decision model TUI to branch and blend multiple histories

https://github.com/nouli-ai/nouli
2•SurfingAlpaca•12m ago•0 comments

Windows 95 is still being used to sort eggs in Germany

https://www.pcgamer.com/hardware/windows-95-arguably-the-first-pc-gaming-os-is-still-being-used-t...
1•speckx•18m ago•0 comments

Are We All Too Cynical for Star Trek?

https://www.thebulwark.com/p/are-we-all-too-cynical-for-star-trek
1•Bluestein•19m ago•0 comments

Moving an RTS from Godot to Lobster

https://age-of-anything.com/devlog/2026-10-30-moving-to-lobster
1•Drache93•20m ago•1 comments

HackerTok: TikTok but for Hacker News

https://github.com/hackertok/hackertok.github.io
1•allinonai•21m ago•1 comments

Are There Problems Beyond the Reach of AI [video]

https://www.youtube.com/watch?v=NWNbAEivyvs
4•efavdb•24m ago•0 comments

Representation Hypothesis with JEPAs

https://www.alphaxiv.org/abs/2610.39302
1•redox_•30m ago•0 comments

OSS Contributions: From Intellectual Work to Token Donations

https://www.tobiaspitters.com/blog/oss-contributions-from-intellectual-work-to-token-donations
2•CloseChoice•30m ago•0 comments

Show HN: Castov – A local-first desktop automation engine using local AI

https://castov.com
2•castov•31m ago•0 comments

Old Ideas

https://blog.fogus.me/thoughts/old-ideas.html
1•myth_drannon•35m ago•0 comments

Writing Is Magic; Machine Writing Is Ash

https://www.baldurbjarnason.com/2026/machine-writing-is-ash/
3•speckx•35m ago•0 comments

What kept GPUs waiting: an E1 study of distributed training overhead

https://nodeox.com/blog/e1-distributed-training-overhead
1•dvoronko•38m ago•0 comments

Show HN: Jik – a self-hosted language using region-based memory management

https://github.com/jik-lang/jik
3•scorched_soy•39m ago•0 comments

Ask HN: Show your micro-SaaS (November 2026)

3•genekrapivin•40m ago•0 comments

Warmbly: Open-Source Cold Email

https://warmbly.com/
1•handfuloflight•42m ago•0 comments

Silicon Valley's in-flight magazine Colossus gives moguls coverage they crave

https://sfstandard.com/2026/10/30/colossus-glossy-quarterly-silicon-valley/
2•thm•45m ago•0 comments

Behind the Curtain: OpenAI's post-election power play

https://www.axios.com/2026/11/01/scoop-openai-post-midterm-policy
2•pretext•50m ago•0 comments

100% Increase in CVEs YoY

https://app.opencve.io/statistics
2•pranshuchittora•53m ago•0 comments

Apple RAW 9 Deep Dive (macOS/iOS 27) [video]

https://www.youtube.com/watch?v=Fk0K7H6QEAE
1•CharlesW•53m ago•0 comments

An inference server for AMD GPUs, in C++ and HIP

https://codeberg.org/StillDeadcode/radiance
1•this_was_posted•54m ago•2 comments

TLE Tailor

https://github.com/dcajacob/tle-tailor
1•marklit•56m ago•0 comments

Ask HN: Which TV do you recommend for privacy?

19•LecroJS•56m ago•23 comments

Juan Atkins, pioneer of Detroit techno sound, dies aged 64

https://www.theguardian.com/music/2026/nov/01/juan-atkins-pioneer-of-detroit-techno-sound-dies-ag...
3•coffeeyesplease•56m ago•2 comments
Open in hackernews

CheerpJ 4.0: WebAssembly JVM for the browser, now with Java 11 and JNI support

https://labs.leaningtech.com/blog/cheerpj-4.0
9•apignotti•1y ago

Comments

palata•1y ago
That's technically pretty cool, but it makes me wonder:

In order to run a Java Desktop app, I need to install a JVM first (or the Desktop app can embed it, I guess that's what IntelliJ does, right?).

Now if I run CheerpJ, it means that I essentially download a JVM when I load the page (every time), and run code in that JVM. But at this point, why not downloading a Desktop app?

It feels like we are going around, shipping simple web pages together with full browsers and calling that "desktop apps" (e.g. ElectronJS), then shipping complete JVMs as web pages and calling that a "web page"... why don't we just ship simple webpages through browsers and complex desktop apps through package managers?

apignotti•1y ago
With CheerpJ you are downloading the subset of the JVM that you need, and actually only once thanks to the standard browser cache.

There are many reasons why shipping via the browser is a better choice compared to shipping desktop apps. The main 3 in my opinion are:

1. Distribution: Give your user a link and the app will start 2. Isolation: The user can have confidence the app won't read his personal files. 3. Cross-platform: Every OS and every device, for real this time

yuri91•1y ago
For reference, when loading https://browsercraft.cheerpj.com for the first time (up to loading a world), my browser downloaded ~32MB.

The second time almost nothing.

jeffreportmill1•1y ago
And here's an entire Java IDE with CheerpJ that downloads less than 15mb:

https://reportmill.com/SnapCode

palata•1y ago
> With CheerpJ you are downloading the subset of the JVM that you need

That's interesting! May I ask how it works? Does that also happen with e.g. IntelliJ?

> Every OS and every device, for real this time

Doesn't the JVM run everywhere in 2025?

apignotti•1y ago
> That's interesting! May I ask how it works? Does that also happen with e.g. IntelliJ?

Byte ranges request do most of the heavy lifting, data is loading exclusively on-demand.

> Doesn't the JVM run everywhere in 2025?

What about iOS? Android has Java, but can't run desktop Java apps. Chromebooks also have limits.

palata•1y ago
> Byte ranges request do most of the heavy lifting, data is loading exclusively on-demand.

I don't understand what that means. The JVM is supposed to interpret and sometimes compile bytecode, right? How can it be done with only a fraction of the JVM?

Or are you saying that it is constantly communicating with a server that does the work?

apignotti•1y ago
The VM itself is very small, it's the OpenJDK runtime that is quite sizeable. Byte ranges are used to only download the parts of the runtime (in terms of bytecode) that are required.

There is no server-side computation. CheerpJ runs code exclusively client-side.

palata•1y ago
But you said before that you only download a subset of the JVM, right? Or did you mean a subset of the JDK, including the JVM and... I guess other stuff?
apignotti•1y ago
I meant the JVM in an extended sense: the combination of the bytecode parsing, JIT compiler and OpenJDK runtime. You are right, I should have been more precise and refer to only the runtime part, which is by far the most significant.
palata•1y ago
I was not trying to prove you wrong, I'm just genuinely interested :-). I don't see a lot of articles about the JVM these days.