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Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•1m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
1•pastage•1m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•2m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
1•birdculture•7m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•13m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•15m ago•1 comments

I replaced the front page with AI slop and honestly it's an improvement

https://slop-news.pages.dev/slop-news
1•keepamovin•19m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•21m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
2•tosh•27m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
3•oxxoxoxooo•31m ago•1 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•31m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•35m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•36m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•38m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•40m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
3•myk-e•43m ago•5 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•44m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
4•1vuio0pswjnm7•46m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•47m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•49m ago•2 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•52m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•57m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•59m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•1h ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•1h ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•1h ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments
Open in hackernews

How Complex Systems Fail

https://how.complexsystems.fail/
33•jgrahamc•9mo ago

Comments

axelerator•9mo ago
Definitely some good reminders in there!

> But the converse: that successful outcomes are also the result of gambles; is not widely appreciated.

This statement however I would challenge: There is the whole ‘build fast and break shit’ culture that bets exactly on that outcome.

mpalmer•9mo ago
> There is the whole ‘build fast and break shit’ culture that bets exactly on that outcome.

Mark Zuckerberg was 13 when this was published, so I'm not sure that's accurate

mdaniel•9mo ago
Aww, missed opportunity to have fun with virtual hosts as https://why.complexsystems.fail/ is currently nxdomain

I would have put up something that returned an <ol> akin to:

1. Cert expiry

2. DNS (or, is the current state of affairs a meta joke?!)

3. Firefall Rules

randysalami•9mo ago
In the past 6 months, I’ve started working to support a software system with complexity much like the kind described in this article. When I started and saw it in all its glory, my naive engineer brain thought no way this can work. The system was very large, patchwork through outsourcing/turnover, and poorly documented both at the code and UX level. There were many critical bugs in the code and new features were constantly being introduced. Yet as the months went by, it continued functioning at scale as it had done for so many years. Many things were wrong and did break constantly but a combination of operators being careful/resourceful, support staff making in DB changes/hotfixes to recover from fail states 24/7, and just so much human labor in the system allowed it to work and scale across many clients. So many things could fail in a day, and even though the system was so complex, people made it work and it was very educational to me.

Now, seeing that up close as a loner engineer gave me nightmares and inspired me in developing the technology for my startup. I’m just one guy so I limit complexity, write as little code as possible, and protect myself like a paranoid person. Basically, I see the primary value I can deliver from an engineering perspective is solving my domain as much as possible while limiting the scope as much as possible. Then when scaling, the costs/risks presented in this article are delayed as much as possible. It’s not always possible because some domains touch the real world too much but I see competitors in my field not heed this, and they’re starting to topple over in my opinion.