frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Show HN: I built a RAG engine to search Singaporean laws

https://github.com/adityaprasad-sudo/Explore-Singapore
1•ambitious_potat•2m ago•0 comments

Scams, Fraud, and Fake Apps: How to Protect Your Money in a Mobile-First Economy

https://blog.afrowallet.co/en_GB/tiers-app/scams-fraud-and-fake-apps-in-africa
1•jonatask•2m ago•0 comments

Porting Doom to My WebAssembly VM

https://irreducible.io/blog/porting-doom-to-wasm/
1•irreducible•3m ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•4m ago•0 comments

Full-Blown Cross-Assembler in a Bash Script

https://hackaday.com/2026/02/06/full-blown-cross-assembler-in-a-bash-script/
1•grajmanu•9m ago•0 comments

Logic Puzzles: Why the Liar Is the Helpful One

https://blog.szczepan.org/blog/knights-and-knaves/
1•wasabi991011•21m ago•0 comments

Optical Combs Help Radio Telescopes Work Together

https://hackaday.com/2026/02/03/optical-combs-help-radio-telescopes-work-together/
2•toomuchtodo•26m ago•1 comments

Show HN: Myanon – fast, deterministic MySQL dump anonymizer

https://github.com/ppomes/myanon
1•pierrepomes•32m ago•0 comments

The Tao of Programming

http://www.canonical.org/~kragen/tao-of-programming.html
1•alexjplant•33m ago•0 comments

Forcing Rust: How Big Tech Lobbied the Government into a Language Mandate

https://medium.com/@ognian.milanov/forcing-rust-how-big-tech-lobbied-the-government-into-a-langua...
1•akagusu•33m ago•0 comments

PanelBench: We evaluated Cursor's Visual Editor on 89 test cases. 43 fail

https://www.tryinspector.com/blog/code-first-design-tools
2•quentinrl•35m ago•2 comments

Can You Draw Every Flag in PowerPoint? (Part 2) [video]

https://www.youtube.com/watch?v=BztF7MODsKI
1•fgclue•41m ago•0 comments

Show HN: MCP-baepsae – MCP server for iOS Simulator automation

https://github.com/oozoofrog/mcp-baepsae
1•oozoofrog•44m ago•0 comments

Make Trust Irrelevant: A Gamer's Take on Agentic AI Safety

https://github.com/Deso-PK/make-trust-irrelevant
3•DesoPK•48m ago•0 comments

Show HN: Sem – Semantic diffs and patches for Git

https://ataraxy-labs.github.io/sem/
1•rs545837•49m ago•1 comments

Hello world does not compile

https://github.com/anthropics/claudes-c-compiler/issues/1
33•mfiguiere•55m ago•18 comments

Show HN: ZigZag – A Bubble Tea-Inspired TUI Framework for Zig

https://github.com/meszmate/zigzag
3•meszmate•57m ago•0 comments

Metaphor+Metonymy: "To love that well which thou must leave ere long"(Sonnet73)

https://www.huckgutman.com/blog-1/shakespeare-sonnet-73
1•gsf_emergency_6•59m ago•0 comments

Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•1h ago•1 comments

Emacs-tramp-RPC: High-performance TRAMP back end using JSON-RPC instead of shell

https://github.com/ArthurHeymans/emacs-tramp-rpc
1•todsacerdoti•1h ago•0 comments

Protocol Validation with Affine MPST in Rust

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

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
4•gmays•1h ago•0 comments

Show HN: Zest – A hands-on simulator for Staff+ system design scenarios

https://staff-engineering-simulator-880284904082.us-west1.run.app/
1•chanip0114•1h ago•1 comments

Show HN: DeSync – Decentralized Economic Realm with Blockchain-Based Governance

https://github.com/MelzLabs/DeSync
1•0xUnavailable•1h ago•0 comments

Automatic Programming Returns

https://cyber-omelette.com/posts/the-abstraction-rises.html
1•benrules2•1h ago•1 comments

Why Are There Still So Many Jobs? The History and Future of Workplace Automation [pdf]

https://economics.mit.edu/sites/default/files/inline-files/Why%20Are%20there%20Still%20So%20Many%...
2•oidar•1h ago•0 comments

The Search Engine Map

https://www.searchenginemap.com
1•cratermoon•1h ago•0 comments

Show HN: Souls.directory – SOUL.md templates for AI agent personalities

https://souls.directory
1•thedaviddias•1h ago•0 comments

Real-Time ETL for Enterprise-Grade Data Integration

https://tabsdata.com
1•teleforce•1h ago•0 comments

Economics Puzzle Leads to a New Understanding of a Fundamental Law of Physics

https://www.caltech.edu/about/news/economics-puzzle-leads-to-a-new-understanding-of-a-fundamental...
3•geox•1h ago•1 comments
Open in hackernews

Maximizing Compression of Apple II Hi-Res Images

http://deater.net/weave/vmwprod/hgr_compress/
27•deater•1mo ago

Comments

ajross•1mo ago
Somewhat disappointing. The tl;dr is that the author uses an off-the-shelf 6502 compression library and just de-interlaces the Hi-Res framebuffer to improve spacial locality.

The reasoning behind the oddball framebuffer layout is handwaved away with "you can probably blame Woz for this" and "possibly to save a few chips on the motherboard".

Well, yes, to both. And the Apple II scan hardware is an absolute masterpiece of the era (surpassed only, IMHO, by the Disk ][ card he invented a year later). That's what we should be talking about.

kazinator•1mo ago
> So currently you'd need to have 4 images before it is a net win.

That's from an external storage perspective (fitting more images onto a floppy, which is, IIRC around 140 Kb).

You are typically only going to be loading one image at a time. So if you save an additional 100 bytes, using more than 100 bytes of extra code, it's not a win from a RAM point of view.

__patchbit__•1mo ago
The 256 bytes that encode C64's `A mind is born' demo

   https://youtu.be/sWblpsLZ-O8
or the `quad core' demo

   https://youtu.be/XlUcjzjVNlg
should those techniques pack AI model simulator images for hexapod robotics down at the supervisor binary interface layer, do the demoscene folks get to work catergories in AI and Robotics for `new' competition?
Dwedit•1mo ago
When you talk about maximizing compression, you usually move from simple binary data to predictors.

A predictor is where you look at pixel above, and pixel to the left, and instead of coding a raw pixel value, you sort the values by how likely they are for the given "above" and "left" values. Most likely value becomes 0, second most likely becomes 1, etc... This changes the image into a different image where you have more 0 values than others. So you can encode the data as "number of 0s", like RLE, but with the zero count encoded in a variable-length way.