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Learning to Reason in 13 Parameters

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

Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

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

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

1•alentred•2m 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
1•mooreds•2m 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...
3•mindracer•3m ago•0 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•3m ago•0 comments

Moltbook was peak AI theater

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
1•Brajeshwar•4m 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•4m ago•0 comments

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

https://www.cosmicodometer.space/
2•captainnemo729•5m 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•5m ago•0 comments

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

https://iocombats.com/blogs/micro-frontends-in-2026
1•ghazikhan205•7m 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•7m ago•1 comments

The Wonder Drug That's Plaguing Sports

https://www.nytimes.com/2026/02/02/us/ostarine-olympics-doping.html
1•mooreds•8m 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•8m ago•0 comments

Federated Credential Management (FedCM)

https://ciamweekly.substack.com/p/federated-credential-management-fedcm
1•mooreds•8m ago•0 comments

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

https://app.writtte.com/read/kZ8Kj6R
1•lasgawe•8m ago•1 comments

The Story of Heroku (2022)

https://leerob.com/heroku
1•tosh•9m ago•0 comments

Obey the Testing Goat

https://www.obeythetestinggoat.com/
1•mkl95•9m ago•0 comments

Claude Opus 4.6 extends LLM pareto frontier

https://michaelshi.me/pareto/
1•mikeshi42•10m ago•0 comments

Brute Force Colors (2022)

https://arnaud-carre.github.io/2022-12-30-amiga-ham/
1•erickhill•13m 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•13m ago•0 comments

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

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•14m ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•14m ago•0 comments

Can you beat ensloppification? I made a quiz for Wikipedia's Signs of AI Writing

https://tryward.app/aiquiz
1•bennydog224•16m ago•1 comments

Spec-Driven Design with Kiro: Lessons from Seddle

https://medium.com/@dustin_44710/spec-driven-design-with-kiro-lessons-from-seddle-9320ef18a61f
1•nslog•16m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•17m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•17m ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•18m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•19m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•20m ago•0 comments
Open in hackernews

Show HN: Was tired of drowning in HN comments, so I built an AI Chief of Staff

https://hnsignals.com/
5•rektlessness•1w ago
I've been lurking on HN for years. You know the drill: interesting headline, 200+ comments, you dive in thinking "I'll just skim for 5 minutes"... and an hour later you're 36 chambers deep in a thread about memory allocation patterns in Postgres and you've completely forgotten what the original article was about.

I don't just want a "summary" (which usually just shortens the noise). I want the meta-consensus: "What is the actual trade-off being debated? Who is winning the argument? Why does this matter?"

So I built HNSignals. Think of it less like a "summarizer" and more like a Chief of Staff who reads the entire thread for you and hands you a one-page executive brief.

How it works: 1. Filters: Shows trending stories (50+ comments) where the discussion has heated up. 2. Extracts: An AI (Qwen 3 via Venice.ai) reads the top comments. 3. Structures: Instead of a wall of text, you get 4 specific signals: - The Hook: Why you should care. - The Gist: The core technical facts. - The Debate: The actual friction point (e.g., "Rust vs. C++ safety"). - The Verdict: The community consensus.

Why I'm showing this (Beta): Most AI tools just shorten the text. I'm trying to extract the signal. It's a work in progress - the AI sometimes gets too clever, and I'm still tuning the cache strategy. I'd love feedback on whether this structured approach is actually better than a standard "TL;DR."

Bonus meta-game: If this Show HN gets 50+ comments and makes it onto HNSignals itself, I'll read the AI's analysis of people analyzing my analyzer. (P.S. Please go easy on the intentional stress testing - my Lambda inference budget is finite!)

Try it: https://hnsignals.com

Example output The Heartbleed Bug (2014): https://hnsignals.com/signal/7548991 Ask HN: What is the most unethical thing you've done as a programmer? (2018): https://hnsignals.com/signal/17692005 Comparing the Same Project in Rust, Haskell, C++, Python, Scala and OCaml (2019): https://hnsignals.com/signal/20192645 OpenAI's GPT-3 may be the biggest thing since Bitcoin (2020): https://hnsignals.com/signal/23885684 Apple, What Have You Done? (2026): https://hnsignals.com/signal/46763592

Comments

metadat•1w ago
As a heads up: I think it's just showing the original titles at the moment.

Personally I was really looking forward to some quality time here. Cheers!

rektlessness•1w ago
Thanks for trying it out. I set a high water mark of >50 comments to ensure signal quality. There is also a 5 min cache. Try any story with 50+ comments. Here's one: https://hnsignals.com/signal/6135833