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Apply Tracker, Free AI CV, Cover Letter and Job Tracker

https://www.apply-tracker.com/en
1•mirnumbing•29s ago•0 comments

Findborg – an ad-free find engine with community, AI, and real web results

https://www.findborg.com/
1•findborg•1m ago•0 comments

FilmWorld: Agentic Novel-to-Film Generation

https://filmworld-ai.github.io/
1•ilreb•1m ago•0 comments

If AI writes everything, why should anyone trust you?

https://www.adgully.com/post/18212/if-ai-writes-everything-why-should-anyone-trust-you
2•sbulaev•6m ago•0 comments

Nvidia increases the price of Jetson modules and devkits by up to 101%

https://www.cnx-software.com/2026/07/22/nvidia-increases-the-price-of-jetson-modules-and-devkits-...
1•mikece•7m ago•0 comments

Why Create Next Palantir?

https://nimish.ch/next-palantir
1•nimish_chauhan•7m ago•0 comments

A simple API for offering your coding agent a smoke break

https://smoke-break.pineapplefreefall.com
1•cr4shed•7m ago•0 comments

Zynthoro – AI-native ERP for SMEs, replace 15 tools, built solo

https://zynthoro.ai/
1•Zynthoro•8m ago•0 comments

Better Than Free: How to Differentiate in the Age of AI

https://tim.blog/2026/07/17/better-than-free/
1•lxm•8m ago•0 comments

Moravec's Paradox

https://en.wikipedia.org/wiki/Moravec%27s_paradox
1•m-hodges•9m ago•0 comments

Human, All Too Human: Martin Heidegger (1999)

https://archive.org/details/youtube-gQ09a5LJFqo
1•petethomas•9m ago•0 comments

Coding agents cannot remove complexity

https://12gramsofcarbon.com/p/agentics-coding-agents-cannot-remove
1•theahura•12m ago•0 comments

Show HN: Roblox Gakuran Guide and Wiki

https://gakuranguide.wiki/
1•cksmct•15m ago•0 comments

Tangleflow: Converts GitHub Actions workflows to tangled workflows and back

https://github.com/43081j/tangleflow
1•wertyk•19m ago•0 comments

Aurora DSQL: Scalable, Multi-Region OLTP

https://brooker.co.za/blog/2026/07/19/dsql-paper.html
2•mariuz•20m ago•0 comments

1 month and 60 models later

https://www.supcpu.com/research/1-month-and-60-models-later/
3•romellogoodman•21m ago•0 comments

Galloping Galaxies (1985-1986)

https://archive.org/details/s-01-e-01-part-one_20260604
2•petethomas•22m ago•0 comments

A Controlled Study of Attention-Only Transformers

https://arxiv.org/abs/2607.18363
1•E-Reverance•23m ago•1 comments

The first six ideas in machine learning

https://stochastic.blog/the-first-six-ideas-in-machine-learning/
1•Anon84•23m ago•0 comments

Never Enough

https://dark.ronacher.eu/2026/7/21/never-enough/
1•reasonableklout•23m ago•0 comments

Show HN: My Attempt of Ricing macOS

https://github.com/kushvinth/dotfiles
1•Kushvinth•23m ago•0 comments

Air Force conducts live-fire test for Collaborative Combat Aircraft program

https://www.acc.af.mil/News/Article-Display/Article/4547699/air-force-conducts-live-fire-test-for...
2•lxm•26m ago•0 comments

Nanbeige4.2-3B

https://huggingface.co/Nanbeige/Nanbeige4.2-3B
4•drgore•26m ago•0 comments

What's under your feet in New York City

https://www.youtube.com/watch?v=Iclf_JnPkKw
2•sheri•29m ago•0 comments

Ask HN: Why AI labs publish different benchmarks?

2•mzubairtahir•35m ago•0 comments

Salience Induction Against Multi-Hop RAG Agents: Threat and Defense

https://arxiv.org/abs/2607.17535
2•sbulaev•41m ago•0 comments

Running Laguna S 2.1 locally on Apple Silicon: 52 tok/s with 38.5 GB peak memory

https://github.com/tanishq-dubey/macos-laguna-s2.1
3•tdubey•45m ago•0 comments

Making Our Own Spectrogram

https://fasterthanli.me/articles/making-our-own-spectrogram
1•Jimmc414•46m ago•0 comments

Choosing GPT-5.6 Sol, Terra, or Luna in Codex

https://twitter.com/pvncher/status/2077708372363624894
1•gmays•46m ago•0 comments

Martin Picard's Mitochondrial Theory of Mind

https://www.quantamagazine.org/martin-picards-mitochondrial-theory-of-mind-20260717/
2•Jimmc414•46m ago•0 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.