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1•Panino•33s ago•0 comments

OpenClaw Creator: Why 80% of Apps Will Disappear

https://www.youtube.com/watch?v=4uzGDAoNOZc
1•schwentkerr•4m ago•0 comments

What Happens When Technical Debt Vanishes?

https://ieeexplore.ieee.org/document/11316905
1•blenderob•5m ago•0 comments

AI Is Finally Eating Software's Total Market: Here's What's Next

https://vinvashishta.substack.com/p/ai-is-finally-eating-softwares-total
1•gmays•6m ago•0 comments

Computer Science from the Bottom Up

https://www.bottomupcs.com/
1•gurjeet•6m ago•0 comments

Show HN: I built a toy compiler as a young dev

https://vire-lang.web.app
1•xeouz•8m ago•0 comments

You don't need Mac mini to run OpenClaw

https://runclaw.sh
1•rutagandasalim•8m ago•0 comments

Learning to Reason in 13 Parameters

https://arxiv.org/abs/2602.04118
1•nicholascarolan•10m ago•0 comments

Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

https://arxiv.org/abs/2601.22389
1•energyscholar•11m ago•1 comments

Ask HN: Will GPU and RAM prices ever go down?

1•alentred•11m ago•0 comments

From hunger to luxury: The story behind the most expensive rice (2025)

https://www.cnn.com/travel/japan-expensive-rice-kinmemai-premium-intl-hnk-dst
2•mooreds•12m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
5•mindracer•13m ago•1 comments

A New Crypto Winter Is Here and Even the Biggest Bulls Aren't Certain Why

https://www.wsj.com/finance/currencies/a-new-crypto-winter-is-here-and-even-the-biggest-bulls-are...
1•thm•13m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
1•Brajeshwar•14m ago•0 comments

Why Claude Cowork is a math problem Indian IT can't solve

https://restofworld.org/2026/indian-it-ai-stock-crash-claude-cowork/
1•Brajeshwar•14m ago•0 comments

Show HN: Built an space travel calculator with vanilla JavaScript v2

https://www.cosmicodometer.space/
2•captainnemo729•14m ago•0 comments

Why a 175-Year-Old Glassmaker Is Suddenly an AI Superstar

https://www.wsj.com/tech/corning-fiber-optics-ai-e045ba3b
1•Brajeshwar•14m ago•0 comments

Micro-Front Ends in 2026: Architecture Win or Enterprise Tax?

https://iocombats.com/blogs/micro-frontends-in-2026
1•ghazikhan205•16m ago•0 comments

These White-Collar Workers Actually Made the Switch to a Trade

https://www.wsj.com/lifestyle/careers/white-collar-mid-career-trades-caca4b5f
1•impish9208•17m ago•1 comments

The Wonder Drug That's Plaguing Sports

https://www.nytimes.com/2026/02/02/us/ostarine-olympics-doping.html
1•mooreds•17m ago•0 comments

Show HN: Which chef knife steels are good? Data from 540 Reddit tread

https://new.knife.day/blog/reddit-steel-sentiment-analysis
1•p-s-v•17m ago•0 comments

Federated Credential Management (FedCM)

https://ciamweekly.substack.com/p/federated-credential-management-fedcm
1•mooreds•18m ago•0 comments

Token-to-Credit Conversion: Avoiding Floating-Point Errors in AI Billing Systems

https://app.writtte.com/read/kZ8Kj6R
1•lasgawe•18m ago•1 comments

The Story of Heroku (2022)

https://leerob.com/heroku
1•tosh•18m ago•0 comments

Obey the Testing Goat

https://www.obeythetestinggoat.com/
1•mkl95•19m ago•0 comments

Claude Opus 4.6 extends LLM pareto frontier

https://michaelshi.me/pareto/
1•mikeshi42•20m ago•0 comments

Brute Force Colors (2022)

https://arnaud-carre.github.io/2022-12-30-amiga-ham/
1•erickhill•22m ago•0 comments

Google Translate apparently vulnerable to prompt injection

https://www.lesswrong.com/posts/tAh2keDNEEHMXvLvz/prompt-injection-in-google-translate-reveals-ba...
1•julkali•23m ago•0 comments

(Bsky thread) "This turns the maintainer into an unwitting vibe coder"

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•23m ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•24m ago•0 comments
Open in hackernews

Create Missing RSS Feeds with LLMs

https://taras.glek.net/posts/create-missing-rss-feeds-with-llms/
2•alastairr•9mo ago

Comments

PaulHoule•9mo ago
The general story about the LLM-scraper problem is that (1) "companies like OpenAI run badly implemented web crawlers to get training data" but there is (2) with LLMs scrapers could do content understanding (inference) that would make them more useful and I think the even more impactful (3) LLMs will empower people to write scrapers that would never have written them before.

I kinda laugh at (3) because it's been a running gag for me that management vastly overestimates the effort to write scrapers and crawlers because they've been burned with vastly underestimating the effort to develop what look like simple UI applications.

They usually think "this will be a hassle to maintain" but it usually isn't because: (a) the target web sites usually never change in a significant way because UI development is such a hassle and (b) the target web sites usually never change in a significant way because Google will punish them if they do [1]

It is like 10 minutes to write a scraper if you do it all the time and have an API like beautifulsoup on your fingertips, probably 20 minutes to vibe code it if you don't.

I am still using the same HTML scraper to process image galleries today that I used to process Flickr galleries back in the 00's, for a while the pattern was "fight with the OAuth to log into an API for 45 minutes" or "spend weeks figuring out how to parse MediaWiki markup" and then "get the old scraper working in less than 15 minutes". Frequently the scraper works perfectly out of the box, sometimes it works 80% out of the box, always it works 100% by adding a handful of rules.

I work on a product that has a React-based site and it seems the "state of the art" in scraping a URL [2] like

   https://example.com/item/8788481
is to download the HTML and then all the Javascript and CSS and other stuff with no cache (for every freaking page) and run the Javascript and have something scrape the content out of the DOM whereas they could just go to

   https://example.com/api/item/8788481
and get the data they want in a JSON format which could be processed like item["metadata"]["title"] or just stuffed into a JSONB column and queries any way you like. Login is not "fight with OAuth" but something like "POST username and password to https://example.com/api/login with a client that has a cookie jar" I don't really think "most people are stupid" that often but I think it all the time when web scraping is involved.

[1] they even have a patent for it! people who run online ad campaigns A/B test anything, but the last thing Google wants is for an SEO to be able to settle questions like "will my site rank higher if I put a certain phrase in a <b>?"

[2] ... as in, we see people doing it in our logs