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VoxeliumX – easy open-source tool to run Minecraft servers

1•Cheesehamster•1m ago•0 comments

Netherlands reaches deal to cut reliance on U.S. cloud tech

https://nltimes.nl/2026/04/24/netherlands-reaches-deal-european-cloud-company-decrease-us-tech-re...
1•01-_-•4m ago•0 comments

Free Online Tools for PDF, Image and Video – ToolHive

https://trytoolhive.com
1•farahfarah•5m ago•0 comments

Gecko: A fast GLR parser with automatic syntax error recovery

https://vnmakarov.github.io/parsing/compilers/c/open-source/2026/04/22/gecko-glr.html
1•fanf2•7m ago•0 comments

The Bracket – A Government Man

https://agovtman.substack.com/p/the-bracket
1•jjar•11m ago•0 comments

Onio.club

https://onio.club/
1•kkoncevicius•13m ago•0 comments

Canada's AI Startup Cohere Buys Germany's Aleph Alpha to Expand in Europe

https://www.reuters.com/legal/transactional/canadas-cohere-germanys-aleph-alpha-announce-merger-h...
1•ipieter•14m ago•0 comments

A practical guide to time for developers: clocks, drift, NTP, and PTP

https://www.dmytrohuz.com/p/a-practical-guide-to-time-for-developers
3•dmyhuz•16m ago•0 comments

Superscript Asterisk in Unicode

https://blog.zgp.org/superscript-asterisk-in-unicode/
1•b6dybuyv•17m ago•0 comments

Spinel: Ruby AOT Native Compiler

https://github.com/matz/spinel
3•dluan•20m ago•0 comments

Stock markets are too high and set to fall, says Bank of England deputy

https://www.bbc.com/news/articles/c75kp1y43lgo
3•wood_spirit•22m ago•1 comments

TorchWebGPU: Running PyTorch Natively on WebGPU

https://github.com/jmaczan/torch-webgpu
1•yu3zhou4•22m ago•0 comments

I over-engineered my AI coding setup one justified upgrade at a time

https://machinethoughts.substack.com/p/every-upgrade-made-sense-how-i-over
1•jurreB•29m ago•0 comments

A red pixel in the snow: How AI found a lost climber

https://www.bbc.com/future/article/20260108-how-ai-solved-the-mystery-of-a-missing-mountaineer
2•tellarin•29m ago•0 comments

We Are Xbox

https://news.xbox.com/en-us/2026/04/23/we-are-xbox/
3•quyleanh•32m ago•0 comments

SSE token streaming is easy, they said

https://zknill.io/posts/everyone-said-sse-token-streaming-was-easy/
1•zknill•34m ago•0 comments

UK gaming icon Peter Molyneux on AI, his final creation and a changing industry

https://www.bbc.com/news/articles/c4glw5nyrggo
3•tellarin•34m ago•2 comments

Software engineering may no longer be a lifetime career

https://www.seangoedecke.com/software-engineering-may-no-longer-be-a-lifetime-career/
2•sarmike31•42m ago•0 comments

DroidVM – Run virtual machine on Android Phones with near-native performance

https://github.com/droid-vm/droidvm
1•shelfchair•43m ago•0 comments

Okren – Founding Engineering Operator – Europe /Remote – Pre-Seed – Equity-First

https://okrenai.com/
1•freddiebrown3rd•45m ago•0 comments

Show HN: Founder Decision Engine

https://github.com/michaelaz774/decision-engine
1•michael774•46m ago•0 comments

Tim Cook wrote a winning recipe for Apple

https://www.economist.com/leaders/2026/04/23/tim-cook-wrote-a-winning-recipe-for-apple
2•edward•47m ago•0 comments

Design.md: A format spec for describing a visual identity to coding agents

https://github.com/google-labs-code/design.md
5•rbanffy•49m ago•1 comments

Vision Banana | Google DeepMind

https://vision-banana.github.io
1•rldjbpin•51m ago•0 comments

Is Helium the Browser Brave Was Meant to Be?

https://itsfoss.com/helium-browser/
1•dotcoma•51m ago•0 comments

Self-Reference

https://en.wikipedia.org/wiki/Self-reference
1•nill0•52m ago•0 comments

Discouraging "the voice from nowhere" (~LLMs) in documentation

https://forum.djangoproject.com/t/discouraging-the-voice-from-nowhere-llms-in-documentation/44699
1•marbartolome•52m ago•0 comments

Vibe Coding Isn't the Problem – It's Your Approvals Process

https://kristopherleads.substack.com/p/vibe-coding-isnt-the-problem-its
1•kristopherleads•53m ago•2 comments

You're about to feel the AI money squeeze

https://www.theverge.com/ai-artificial-intelligence/917380/ai-monetization-anthropic-openai-token...
2•eternalreturn•53m ago•0 comments

DeepSeek V4 in vLLM: Efficient Long-Context Attention

https://vllm-website-pdzeaspbm-inferact-inc.vercel.app/blog/deepseek-v4
3•zagwdt•55m ago•0 comments
Open in hackernews

Packed Data Support in Haskell

https://arthi-chaud.github.io/posts/packed/
77•matt_d•12mo ago

Comments

nine_k•12mo ago
> Introducing the ‘packed’ data format, a binary format that allows using data as it is, without the need for a deserialisation step. A notable perk of this format is that traversals on packed trees is proven to be faster than on ‘unpacked’ trees: as the fields of data structures are inlines, there are no pointer jumps, thus making the most of the L1 cache.

That is, a "memory dump -> zero-copy memory read" of a subgraph of Haskell objects, allowing to pass such trees / subgraphs directly over a network. Slightly reminiscent of Cap'n Proto.

90s_dev•12mo ago
We are always reinventing wheels. If we didn't, they'd all still be made of wood.
Zolomon•12mo ago
They mention this in the article.
spockz•12mo ago
It reminds me more of flat buffers though. Does protobuf also have zero allocation (beyond initial ingestion) and no pointer jumps?
cstrahan•11mo ago
No, one example of why being variable sized integers.

See https://protobuf.dev/programming-guides/encoding/

carterschonwald•11mo ago
One thing that sometimes gets tricky in these things is handling Sub term sharing. I wonder how they implemented it.
tlb•12mo ago
> the serialised version of the data is usually bigger than its in-memory representation

I don’t think this is common. Perhaps for arrays of floats serialized as JSON or something. But I can’t think of a case where binary serialization is bigger. Data types like maps are necessarily larger in memory to support fast lookup and mutability.

nine_k•12mo ago
I suppose all self-describing formats, like protobuf, or thrift or, well, JSON are bigger than the efficient machine representation, because they carry the schema in every message, one way or another.
IsTom•11mo ago
If you use a lot of sharing in immutable data it can grow a lot when serializing. A simple pathological example would be a tree that has all left subtrees same as the right ones. It takes O(height) space in memory, but O(2^height) when serialized.
gitroom•11mo ago
honestly i wish more stuff worked this way - fewer hops in memory always makes me happy
lordleft•11mo ago
This was very well written. Excellent article!
NetOpWibby•11mo ago
Is this like MessagePack for Haskell?