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ARP Tell your network to explain itself

https://benjcal.space/blog/arp-tell-your-network-to-explain-itself/
1•_benj•6m ago•0 comments

Palantir patient data tech rejected by many NHS trusts in England

https://www.theguardian.com/technology/2026/oct/17/palantir-patient-data-tech-rejected-by-many-nh...
1•Betelbuddy•8m ago•0 comments

Germany's 17M Immigrants: Where They Come From

https://www.visualcapitalist.com/cp/where-germanys-immigrants-come-from/
2•bushwart•10m ago•0 comments

Language Models Can Reduce Asymmetry in Information Markets (COLM 2024)

https://openreview.net/challenge?redirect=%2Fforum%3Fid%3DZq9Dfj4nBo
1•martincsweiss•10m ago•1 comments

Japan to launch world-first mission to collect samples from Martian moon

https://www.theguardian.com/science/2026/oct/18/japan-mission-mars-moon-phobos-samples
1•Betelbuddy•11m ago•0 comments

US Air Force pilots used malware-laden USB drives to plan Afghanistan missions

https://www.theregister.com/security/2026/10/15/us-air-force-pilots-used-malware-laden-usb-drives...
2•Betelbuddy•12m ago•0 comments

OutreachSheet – Gmail outreach and scheduled follow-ups in Google Sheets

https://www.outreachsheet.com/
1•elephantyan•13m ago•0 comments

Weball: Play Katamari on Websites

https://www.funwithcomputervision.com/weball/
1•croes•17m ago•0 comments

How the AI boom might end: 5 scenarios

https://martinalderson.com/posts/how-the-ai-boom-might-really-end/
1•martinald•19m ago•0 comments

Show HN: Independent LLM benchmark index tracking 22 frontier models

https://vibecoderjournal.com/rankings/
1•ahgamerz215•20m ago•0 comments

Uh filter Claude Code plugin

https://github.com/amirzak/claude-code-voice-uh-filter
1•amirzak•23m ago•0 comments

Rerecord: Docs Screenshots as Text

https://github.com/saifsmailbox98/rerecord
1•TheSaifurRahman•24m ago•1 comments

Ask HN: ATS devs or recruiters, applicant using email addresses like duck.com?

1•techsystems•25m ago•1 comments

Alien Breed 3D HD: Out Now [video]

https://www.youtube.com/watch?v=cFvim_cU_zE
1•doener•26m ago•0 comments

A self-disinfecting fabric eliminates bacteria, fungi and viruses

https://www.upv.es/noticias-upv/noticia-16087-un-tejido-auto-en.html
4•geox•28m ago•0 comments

Show HN: CallSitter – bot that answers my calls and wastes scammers' time

https://github.com/szerintedmi/callsitter
1•szert•32m ago•0 comments

MNT Pocket Reform Laptop – MNT Research Shop

https://shop.mntre.com/products/mnt-pocket-reform
2•tambourine_man•32m ago•0 comments

Kosmos 2612 and ICEYE-X36: a worrisome cat-and-mouse-game in Space

https://sattrackcam.blogspot.com/2026/10/kosmos-2612-and-iceye-x36-worrisome-cat.html
3•runningmike•34m ago•2 comments

How Far Will AI Assistants Go for a Refund They Can't Get?

https://www.vals.ai/blogs/impossible-refund
2•DeepLogin•34m ago•0 comments

Show HN: A 3D catalog of rocket engines you can take apart

https://farsidelab.com/concept/rocket-engines/
1•kari_nojd•37m ago•0 comments

Show HN: APIFlow Studio – A browser API client with local mock responses

https://apiflowstudio.onrender.com/
1•yashpateldev•38m ago•0 comments

From 'I want my own harness' to corporate sponsorship

https://dirac.run/posts/from-my-own-harness-to-corporate-sponsorship
1•GodelNumbering•38m ago•0 comments

Una Watch TOTP – MFA on your wrist!

https://shkspr.mobi/blog/2026/10/una-watch-totp-mfa-on-your-wrist/
3•ColinWright•38m ago•0 comments

Show HN: I built a smart audiobook converter that sounds human (not KokoroTTS)

https://www.book2speech.com/
2•orencoda•39m ago•0 comments

How to Make Your Own Flying Car AI Video (Make a Tesla Roadster AI Video)

https://roadster-ai.net/blog/how-to-make-roadster-ai-video
2•Moon_Y•39m ago•0 comments

Show HN: CardChase, recover failed subscription charges before they churn

https://thecompound.tech
1•kyisaiah47•41m ago•0 comments

CVE-2026-55562 PoC?

https://www.patchcve.com/reference/cve/CVE-2026-55562
1•PatchCVE•43m ago•1 comments

Ask HN: How to speed up code-reviews?

3•baalimago•45m ago•4 comments

A New Way to Think About Borrow Checking (In Reverse)

https://verdagon.dev/blog/reverse-borrow-checking
4•verdagon•46m ago•3 comments

ODS: NHS Organisational Data as Parquet Files

https://github.com/olizilla/ods
1•pacharanero•46m ago•0 comments
Open in hackernews

Packed Data Support in Haskell

https://arthi-chaud.github.io/posts/packed/
77•matt_d•1y ago

Comments

nine_k•1y 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•1y ago
We are always reinventing wheels. If we didn't, they'd all still be made of wood.
Zolomon•1y ago
They mention this in the article.
spockz•1y ago
It reminds me more of flat buffers though. Does protobuf also have zero allocation (beyond initial ingestion) and no pointer jumps?
cstrahan•1y ago
No, one example of why being variable sized integers.

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

carterschonwald•1y ago
One thing that sometimes gets tricky in these things is handling Sub term sharing. I wonder how they implemented it.
tlb•1y 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•1y 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•1y 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•1y ago
honestly i wish more stuff worked this way - fewer hops in memory always makes me happy
lordleft•1y ago
This was very well written. Excellent article!
NetOpWibby•1y ago
Is this like MessagePack for Haskell?