Hacker News: Newest

CheerpJ 5.0: Java 21/25 in the browser, full OpenJDK, and a new WasmGC engine

pjmlp — Mon, 02 Nov 2026 11:55:38 +0000

Article URL: https://labs.leaningtech.com/blog/cheerpj-5.0

Comments URL: https://news.ycombinator.com/item?id=50335658

Points: 11

# Comments: 0

Supermarket freezers in Belgium and Sweden hit by suspected cyber-attack

xqcgrek2 — Mon, 02 Nov 2026 11:48:02 +0000

Article URL: https://www.bbc.com/news/articles/cq1kd1nee80eo

Comments URL: https://news.ycombinator.com/item?id=50335602

Points: 26

# Comments: 13

The future in old computer magazines (1984–2004)

tudell — Mon, 02 Nov 2026 11:09:08 +0000

Article URL: https://tomorrowasusual.substack.com/p/blast-from-the-past-the-future-in

Comments URL: https://news.ycombinator.com/item?id=50335341

Points: 21

# Comments: 6

Show HN: I've updated my Linux System Call website and API

guitmz — Mon, 02 Nov 2026 09:29:16 +0000

I first released those in back in 2020 and now I finally added more architectures, Kernel selector, syscall descriptions and a few other niceties. It should work a bit better on mobile devices too but I am no CSS expert.

The API is at https://api.syscall.sh

Comments URL: https://news.ycombinator.com/item?id=50334704

Points: 45

# Comments: 18

Proton's AI manifesto for software engineering

doener — Mon, 02 Nov 2026 08:10:45 +0000

Article URL: https://proton.me/blog/ai-manifesto

Comments URL: https://news.ycombinator.com/item?id=50334263

Points: 17

# Comments: 10

China's First Frontier AI Export Controls: Mofcom Announcement No. 48

jonnybgood — Mon, 02 Nov 2026 07:27:28 +0000

Article URL: https://labs.cloudsecurityalliance.org/research/csa-research-note-china-ai-export-controls-announcement-48-2/

Comments URL: https://news.ycombinator.com/item?id=50334038

Points: 62

# Comments: 40

Show HN: HackerHack – HackerBooks but for Posts Posted on HN

mw888 — Mon, 02 Nov 2026 06:59:40 +0000

No AI used for this btw.

Comments URL: https://news.ycombinator.com/item?id=50333877

Points: 53

# Comments: 11

From Charlemagne to the Kitchen Boy: Reading the Hamburg Rathaus

mertbio — Mon, 02 Nov 2026 06:39:42 +0000

Article URL: https://alsterrunde.com/from-charlemagne-to-the-kitchen-boy-reading-the-hamburg-rathaus/

Comments URL: https://news.ycombinator.com/item?id=50333774

Points: 43

# Comments: 5

Show HN: Wikihack – HackerTube, but for Wikipedia articles mentioned on HN

aizk — Mon, 02 Nov 2026 05:06:30 +0000

After seeing Karpathy's Hackertube and Hackerbooks, I just had to make Wikihack.

I scraped all mentions of wikipedia on hackernews and ranked them, and turn them into a scrollable feed to make it a bit more easy to digest / interact with. You can see where people submitted the articles and where people mentioned it in comments.

The top shows the most frequently linked articles.

Random is random but slightly weighted towards the more frequently linked articles (a little bit like Wikipedia actually).

Rising is ranked towards the past 12 months.

The entire site is served only through the frontend -- I'll add more features if people enjoy this!

Comments URL: https://news.ycombinator.com/item?id=50333339

Points: 249

# Comments: 75

Asking my AI teacher how to spell seventeen

xvxvx — Mon, 02 Nov 2026 04:50:50 +0000

Article URL: https://twitter.com/huskirl/status/2116941001335947635

Comments URL: https://news.ycombinator.com/item?id=50333262

Points: 12

# Comments: 4

Pepperwind, a fictional company dataset with 223 tables and 79M rows

rasinmuhammed — Mon, 02 Nov 2026 04:13:13 +0000

Hi HN. I'm a software engineer, building Misata Studio.

Pepperwind Trading Co, is a fictional spice and tea trader from Kochi, selling in India, Europe and the US for three years. It has a storefront, a subscription club, a warehouse, ledgers in 3 currencies, support, CRM, marketing, product analytics, HR, payroll and company mail. It is around 223 tables, 79 M rows that is around 7GB of parquet files. It was made with the help of the backend engine behind misata studio.

What I found while I was researching about the synthetic dataset needs was that products that is being built for interconnected systems or analytical solutions that serve organisations often lack a real usable test dataset that is realistic enough to verify the performance and workflows accurately. And most of the time synthetic datasets don't care about entity resolution, same customers existing in different places and in different IDs, FKs pointing at rows that doesnt exist, the values might not match exactly and this is a mess when it comes to finances of the datasets. There are plenty out there, but a single heavy and massive dataset is rare. It was from a similar pain that the idea behind building misata was born.

Some things I was focussed on while building Pepperwind was for it to have unique and valuable usability for different usecases, like: - The books balance in the ledger. - 20 incidents planted in. Courier failure in Diwali, Dutch VAT charged on EU invoices, a referral fraud, price rise that pushes subscription churn etc. I made these incidents consistent across the systems. - It ships with 92 KPIs and their values each month, along with 420 questions that can be asked against the dataset.

Misata is a from scratch multi-table synthetic data generation project with an open-source python library and a web tool I am developing for prompt to dataset generation. I had posted about this in December and have come a long way since then https://news.ycombinator.com/item?id=46289055.

The page lets you explore a small slice of the dataset in your browser and you can follow a single customer through every system. The preview is free and the full version is paid for now, to cover the building cost ($30). Listed in huggingface under CC by 4.0 license: https://huggingface.co/datasets/misatadata/pepperwind .

I would like to reach out to people across dozens of use cases. What would you use it for and how could this or another dataset similar to this help you build your product/solution?

Comments URL: https://news.ycombinator.com/item?id=50333045

Points: 10

# Comments: 0