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Grebedoc – static site hosting for Git forges

https://grebedoc.dev
1•todsacerdoti•2m ago•0 comments

The Unknown Warrior

https://en.wikipedia.org/wiki/The_Unknown_Warrior
1•mellosouls•4m ago•0 comments

Show HN: Auto-Compare GA4/Amplitude Data Against Log Definitions

https://chromewebstore.google.com/detail/analytics-data-qa/icopicdkpapbeojapnaplmffgjjhgnjo
1•asbebe•5m ago•0 comments

Meta's Generative Ads Model (Gem)

https://engineering.fb.com/2025/11/10/ml-applications/metas-generative-ads-model-gem-the-central-...
1•ahlCVA•6m ago•0 comments

Why Don't People Return Their Shopping Carts?

https://behavioralscientist.org/why-dont-people-return-their-shopping-carts-a-somewhat-scientific...
2•cainxinth•6m ago•0 comments

New Report says UC students unprepared [pdf]

https://senate.ucsd.edu/media/740347/sawg-report-on-admissions-review-docs.pdf
1•HR01•8m ago•1 comments

Republicans Are Damaged by Their Own Cruelty

https://paulkrugman.substack.com/p/republicans-are-damaged-by-their
3•rbanffy•10m ago•0 comments

Keynote: The Power of Queues – David Ware – MQ Summit 2025

https://erlangforums.com/t/keynote-the-power-of-queues-david-ware-mq-summit-2025/5226
1•unripe_syntax•11m ago•0 comments

Software Wisdom

https://jasonroelofs.com/articles/2025/10/03/software-wisdom/
1•jameskilton•11m ago•0 comments

How Would You Like Your Iceberg Sir? Stream or Batch Ordered?

https://jack-vanlightly.com/blog/2025/11/5/how-would-you-like-your-iceberg-sir-stream-or-batch-or...
1•rmoff•13m ago•0 comments

Splitting Panes in Windows Terminal and PowerShell the Most Overlooked Feature

https://www.servethehome.com/splitting-panes-in-windows-powershell-the-most-overlooked-feature/
2•rbanffy•14m ago•0 comments

Blender 5.1

https://developer.blender.org/docs/release_notes/5.1/
1•andsoitis•14m ago•0 comments

Pikaday: A friendly guide to front-end date pickers

https://pikaday.dbushell.com
2•mnemonet•14m ago•1 comments

Researchers 'decode' Mandarin Chinese from neural signals – Science – AAAS

https://www.science.org/content/article/researchers-decode-mandarin-chinese-neural-signals
1•rbanffy•15m ago•0 comments

Dspx: Serverless-friendly DSP for Node.js (native C++, state in Redis)

https://github.com/A-KGeorge/dspx
1•a-kgeorge•15m ago•0 comments

Explore the in Our Time Archive

https://www.braggoscope.com/explore
1•robin_reala•16m ago•0 comments

Blender 5.0

https://developer.blender.org/docs/release_notes/5.0/
2•Tmpod•17m ago•1 comments

Firefox 145.0 Release Notes

https://www.firefox.com/en-US/firefox/145.0/releasenotes/
2•ReadCarlBarks•20m ago•0 comments

More Than 6 Vulnerabilities in JeeSite Were Uncovered

https://medium.com/@zastxai/zast-ai-identified-6-vulnerabilities-in-jeesite-06751797be0a
1•zastai0day•21m ago•0 comments

Europe converged rapidly on the United States before stagnating

https://constitutionofinnovation.eu/
2•tbs1980•22m ago•0 comments

Drawing Text Isn't Simple: Benchmarking Console vs. Graphical Rendering

https://cv.co.hu/csabi/drawing-text-performance-graphical-vs-console.html
2•PaulHoule•23m ago•0 comments

Murtoa Stick Shed

https://en.wikipedia.org/wiki/Murtoa_Stick_Shed
1•thomasjb•23m ago•0 comments

The First Radio Signal from Comet 3I/Atlas Ends the Debate About Its Nature

https://www.wired.com/story/the-first-radio-signal-from-comet-3i-atlas-ends-debate-about-its-nature/
3•Brajeshwar•24m ago•1 comments

What we lose when we surrender care to algorithms

https://www.theguardian.com/us-news/ng-interactive/2025/nov/09/healthcare-artificial-intelligence-ai
2•Brajeshwar•24m ago•0 comments

Data-Driven Analysis of Grokipedia's Bias

https://www.alik.social/does-grokipedia-really-solve-wikipedias-bias-problem/
2•alikh31•24m ago•0 comments

Planets may make their own water as they form

https://www.space.com/space-exploration/search-for-life/planets-may-make-their-own-water-as-they-...
3•Brajeshwar•24m ago•0 comments

Kopp–Etchells Effect

https://en.wikipedia.org/wiki/Kopp%E2%80%93Etchells_effect
1•thunderbong•25m ago•0 comments

Duck Hunt: Moving Bauplan from DuckDB to DataFusion

https://www.bauplanlabs.com/post/duck-hunt-moving-bauplan-from-duckdb-to-datafusion
7•pauldix•29m ago•0 comments

The 9 Cost Factors

https://spf13.com/p/the-9-factors/
7•spf13•31m ago•1 comments

Show HN: We built a node to use Hugging Face Spaces without writing API code

1•vinserello•31m ago•0 comments
Open in hackernews

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

https://github.com/linnix-os/linnix
16•parth21shah•2h 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•1h 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•58m 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•53m 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•32m 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.