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We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
186•ColinWright•1h ago•172 comments

I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
22•valyala•2h ago•6 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
124•AlexeyBrin•7h ago•24 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
17•valyala•2h ago•1 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
65•vinhnx•5h ago•9 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
833•klaussilveira•22h ago•250 comments

U.S. Jobs Disappear at Fastest January Pace Since Great Recession

https://www.forbes.com/sites/mikestunson/2026/02/05/us-jobs-disappear-at-fastest-january-pace-sin...
155•alephnerd•2h ago•106 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
119•1vuio0pswjnm7•8h ago•149 comments

Al Lowe on model trains, funny deaths and working with Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
57•thelok•4h ago•8 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1061•xnx•1d ago•613 comments

Reinforcement Learning from Human Feedback

https://rlhfbook.com/
80•onurkanbkrc•7h ago•5 comments

Brookhaven Lab's RHIC Concludes 25-Year Run with Final Collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
4•gnufx•58m ago•1 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
489•theblazehen•3d ago•177 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
212•jesperordrup•12h ago•73 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
567•nar001•6h ago•259 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
226•alainrk•6h ago•354 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
40•rbanffy•4d ago•7 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
10•momciloo•2h ago•0 comments

History and Timeline of the Proco Rat Pedal (2021)

https://web.archive.org/web/20211030011207/https://thejhsshow.com/articles/history-and-timeline-o...
19•brudgers•5d ago•4 comments

Selection Rather Than Prediction

https://voratiq.com/blog/selection-rather-than-prediction/
8•languid-photic•3d ago•1 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
29•marklit•5d ago•3 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
114•videotopia•4d ago•33 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
77•speckx•4d ago•82 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
275•isitcontent•22h ago•38 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
201•limoce•4d ago•112 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
288•dmpetrov•22h ago•155 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
22•sandGorgon•2d ago•12 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
557•todsacerdoti•1d ago•269 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
155•matheusalmeida•2d ago•48 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
427•ostacke•1d ago•111 comments
Open in hackernews

Show HN: Finding similarities in New Yorker covers

https://shoplurker.com/labs/newyorker-covers/
18•tkp-415•1mo ago
Originally learned about image hashing and similarity comparison for product image searches. Decided to apply it to magazine covers.

Thrasher covers: https://shoplurker.com/labs/thrasher-covers/

Comments

smusamashah•1mo ago
I dont understand the UI at all. When I click All or something withij brackets, what am I supposed to see? Covers similar to what I clicked? But the covers I see don't seem similar to me at all no matter what I click. What am I missing? Or may be I am expecting a different kind of similarity.
tkp-415•1mo ago
The confusion is understandable as the comparison is basic and uses image hashes (https://pypi.org/project/ImageHash/), which are pretty surface level and don't always provide reliable "this image is obviously very similar to that one" results.

You are correct that when you click something in the brackets, the results returned are covers similar to what you clicked.

Still have a lot of room for improvement as I go further down this image matching rabbit hole, but the comparison's current state does provide some useful results every so often.

smusamashah•1mo ago
As suggested in another comment, CLIP should give the images that actually look similar. This is a great collection of images, and using those you will find very similar covers.

http://same.energy/search?i=yN5ou

Also https://mood.zip/

llstr•1mo ago
Hey! Cool! Does your code use some of the public libs available (pHash, hmsearch,…) or did you start coding from scratch based on research papers? Can one fork a git repo?

Anyway, KUTGW

multisport•1mo ago
I like it! Would be nice to have some visual indication on "what" was similar, or why, or even how much? Or an example of "this is similar to that because ...". Maybe a visualizer of the algorithms?
Samin100•1mo ago
This is awesome! Using a CLIP or Dino v2 model to produce image embeddings would probably improve the similarity search a lot - kind of similar to http://same.energy/ .
araes•1mo ago
Cool project, and at least with the New Yorker images there's such an enormous amount of diversity that there's actually quite a bit to compare against.

Also, just really cool to see quite how much diversity there has been in New Yorker front page images. Not actually that many archives that provide such a clear, easily viewable format just for browsing through all the art and looking at how the New Yorker has changed it's art style over time. Quite a few would probably qualify as "art" in and of themselves.

Also, some kind of neat discoveries while browsing through the archive. "Crazy, that looks like a Far Side ... wait, that's cause Gary Larson drew the cover." No idea Gary Larson did any magazine covers. [1]

[1] 2003-11-17, Gary Larson, https://shoplurker.com/labs/newyorker-covers/covers/2003/590...

Did something kind of similar a while back with Magic the Gathering cards, except it was using the Perceptual Hash from https://www.phash.org/ The visual clustering display (such as this example from 5th Edition [2]) I think is what some people are suggesting would be valuable. Provide an idea about "why" they're related.

[2] https://araesmojo-eng.github.io/araesmojo-html/images/Projec...

Been a long time (2018), yet pretty sure it was two dimensional "Image Feature Extraction" kinda of like this other example [3] with card colors collapsed to a single average color to give an idea of color pattern distribution.

[3] https://digitalsloan.com/project-blog/cbri