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

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
1•goranmoomin•3m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

1•throwaw12•4m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•6m 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•8m 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
2•myk-e•11m ago•3 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•12m 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
1•1vuio0pswjnm7•14m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•15m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•17m ago•1 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•20m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•25m ago•0 comments

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

https://api-production-caa8.up.railway.app/docs
1•lembergs•27m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•30m ago•1 comments

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

https://github.com/joelparkerhenderson/queueing-theory
1•jph•42m ago•0 comments

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

https://hibanaworks.dev/
5•o8vm•44m ago•1 comments

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

https://www.haniri.com
1•donangrey•45m 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•58m 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

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
4•throwaw12•1h ago•3 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments
Open in hackernews

Show HN: Linnix – eBPF observability that predicts failures before they happen

https://github.com/linnix-os/linnix
21•parth21shah•2mo ago
I kept missing incidents until it was too late. By the time my monitoring alerted me, servers/nodes were already unrecoverable.

So I built Linnix. It watches your Linux systems at the kernel level using eBPF and tries to catch problems before they cascade into outages.

The idea is simple: instead of alerting you after your server runs out of memory, it notices when memory allocation patterns look weird and tells you "hey, this looks bad."

It uses a local LLM to spot patterns. Not trying to build AGI here - just pattern matching on process behavior. Turns out LLMs are actually pretty good at this.

Example: it flagged higher memory consumption over a short period and alerted me before it was too late. Turned out to be a memory leak that would've killed the process.

Quick start if you want to try it:

  docker pull ghcr.io/linnix-os/cognitod:latest
  docker-compose up -d
Setup takes about 5 minutes. Everything runs locally - your data doesn't leave your machine.

The main difference from tools like Prometheus: most monitoring parses /proc files. This uses eBPF to get data directly from the kernel. More accurate, way less overhead.

Built it in Rust using the Aya framework. No libbpf, no C - pure Rust all the way down. Makes the kernel interactions less scary.

Current state: - Works on any Linux 5.8+ with BTF - Monitors Docker/Kubernetes containers - Exports to Prometheus - Apache 2.0 license

Still rough around the edges. Actively working on it.

Would love to know: - What kinds of failures do you wish you could catch earlier? - Does this seem useful for your setup?

GitHub: https://github.com/linnix-os/linnix

Happy to answer questions about how it works.

Comments

jmalicki•2mo ago
Neat but obvious AI slop (coming from someone who vibe codes a lot). The diagrams that don't align in the README, and a readme making ai typical bold claims that haven't been edited, make me doubt how much a human has even reviewed this software or tested it.

If the author hasn't reviewed or tested it why should anyone else bother?

parth21shah•2mo ago
I started this as a personal project to help with monitoring my personal projects. The eBPF monitoring works well - that part is solid.

The AI part is experimental, especially the idea of running inference on CPU (can't afford GPUs and didn't want to rely on OpenAI APIs, though that's where it started). It's hit-or-miss depending on the model.

Not production-tested at scale - just sharing in case it's useful to others who want to tinker with eBPF + Rust.

Full transparency: I did use AI to help write the documentation because honestly, writing docs feels boring and will review thoroughly now based on your feedback

Open sourcing something for the first times so trying and learning

jmalicki•2mo ago
It does seem super cool! But if you aren't even editing the basic README.md - it's not that you used AI to help, but that you that you didn't even do the most basic editing, I don't know what to trust. If I can't trust the docs why spend my time?
ohyoutravel•2mo ago
eBPF is so low level it feels like a mistake to let vibe coded slop exist there. I’ll have to pass until someone reputable reviews it, which I assume will be never.
sherpa1908•2mo ago
Love the direction AI is marked as experimental and optional. Would love a couple real-world examples with numbers to see how it behaves under load. Feels genuinely useful; excited to try it on a messy environment.
unmole•2mo ago
> The main difference from tools like Prometheus: most monitoring parses /proc files. This uses eBPF to get data directly from the kernel. More accurate, way less overhead.

Cloudflare's Prometheus exporter for eBPF has been around for quite a while now.