can you please:
* add an correct HTML image alt information
* compress your HTML and CSS with brotli (or gzip)
thanks!
Readit Newsgforce_de commented on Scaling long-running autonomous coding simonwillison.net/2026/Ja... · Posted by u/srameshc
Wow, for screenshots much faster than chromium:
$ time target/release/fetch_and_render "https://www.lauf-goethe-lauf.de/"
real 0m0,685s
user 0m0,548s
sys 0m0,070s
$ time chromium --headless --disable-gpu --screenshot=out.png --window-size=1200,800 https://www.lauf-goethe-lauf.de/
real 0m1,099s
user 0m0,927s
sys 0m0,692s
gforce_de commented on Show HN: A 10KiB kernel for cloud apps github.com/ReturnInfinity... · Posted by u/ianseyler
Does look alien. When Going to
http://baremetal.returninfinity.com/
one can only see some b0rken plaintext in the browser:
GET / HTTP/1HTTP/1.0 404 Not Found
Server: BareMetal
Content-type: text/html
<!DOCTYPE html>
<html>
<head>
<title>404</title>
</head>
<body>
<p>404 - Not found</p>
</boGET / HTTP/1gforce_de commented on Show HN: A Minimal Monthly Task Planner (printable, offline, no signup) printcalendar.top/... · Posted by u/defcc
It seems not possible to drag and drop from one day to another.
what is the impact on performance, does it require special ram? just heard about this here
sorry for the german comment - ECC is mandatory!
Obligatorische Pastete: "16GB Ram sind Flischt, ohne wenn und aber. ECC ist nicht Flischt aber ZFS ist dafür ausgelegt. Wenn in Strandnähe Daten gelesen werden und es kommt irgendwie was in den Arbeitsspeicher, könnte eine eigentlich intakte Datei auf der Festplatte mit einem Fehler "korrigiert" werden. Also ECC ja. Das Problem bei ECC ist nicht der ECC-Speicher an sich, der nur wenig mehr als konventioneller Speicher kostet, es sind die Mutterbretter, die ECC unterstützen. Aufpassen bei AMD: Oft steht dabei, dass ECC unterstützt wird. Gemeint ist aber, dass ECC-Speicher läuft, aber die ECC-Funktion nicht genutzt wird. LOL. Die meisten MBs mit ECC sind Serverboards. Wer nichts gegen gebrauchte Hardware hat, kann z.B. mit einem alten Sockel 1155-Xeon mit Asus-Brett ein Schnäppchen machen. Ansonsten ist die Asrock Rack-Reihe zu empfehlen. Teuer, aber stromsparend. Generell Nachteil bei Serverboards: Die Bootzeit dauert eine Ewigkeit. Von Consumerboards wird man mit kurzen Bootzeiten verwöhnt, Server brauchen da oft mal 2 Minuten, bis der eigentliche Bootvorgang beginnt. Bernds Server besteht also aus einem alten Xeon, einem Asus Brett, 16GB 1333Mhz ECC-Ram und 6x 2TB-Platten in einem RaidZ2 (Raid6).6TB sind Netto nutzbar. Ich mag alte Hardware irgendwie. Ich reize Hardware gerne bis zum Gehtnichtmehr aus. Die Platten sind auch schon 5 Jahre alt, machen aber keine Mucken. Geschwindigkeit ist super, 80-100MB/s über Samba und FTP. Ich lasse den Server übrigens nicht laufen, sondern schalte ihn aus, wenn ich ihn nicht brauche. Was noch? Komression ist super. Obwohl ich haupsächlich nicht weiter komprimierbare Daten speichere (Musik, Videos), hat mir die interne Kompression 1% Speicherplatz beschert. Bei 4TB sind das ca. 40GB Platz gespart. Der Xeon langweilt sich trotzdem ein bisschen. Testweise habe ich gzip-9-Komprimierung getestet, da kam er dann schon ins Schwitzen."
I'm working on a tool for creating custom color palettes for web designs that pass WCAG contrast requirements:
https://www.inclusivecolors.com/
- You can precisely tweak every shade/tint so you can incorporate your own brand colors. No AI or auto generation!
- It helps you build palettes that have simple to follow color contrast guarantees by design e.g. all grade 600 colors have 4.5:1 WCAG contrast (for body text) against all grade 50 colors, such as red-600 vs gray-50, or green-600 vs gray-50.
- There's export options for plain CSS, Tailwind, Figma, and Adobe.
- It uses HSLuv for the color picker, which makes it easier to explore accessible color combinations because only the lightness slider impacts the WCAG contrast. A lot of design tools still use HSL, where the WCAG contrast goes everywhere when you change any slider which makes finding contrasting colors much harder.
- Check out the included example open source palettes and what their hue, saturation and lightness curves look like to get some hints on designing your own palettes.
It's probably more for advanced users right now but I'm hoping to simplify it and add more handholding later.
Really open to any feedback, feature requests, and discussing challenges people have with creating accessible designs. :)
wow! can you please include the example for Okabe-Ito (Masataka Okabe, Kei Ito):
https://jfly.uni-koeln.de/color/#pallet
COLOR='#000000' # Okabe-Ito: 1 black
COLOR='#e69f00' # Okabe-Ito: 2 orange
COLOR='#56b4e9' # Okabe-Ito: 3 skyblue
COLOR='#009e73' # Okabe-Ito: 4 bluish-green
COLOR='#f0e442' # Okabe-Ito: 5 yellow
COLOR='#0072b2' # Okabe-Ito: 6 blue/darkerblue
COLOR='#d55e00' # Okabe-Ito: 7 vermilion/red
COLOR='#cc79a7' # Okabe-Ito: 8 reddish-purplegforce_de commented on The story of X-Copy on the Amiga spillhistorie.no/2025/10/... · Posted by u/onename
Is this sentence true, or should just sound important?
"Cachet created the word «usability» for that, meaning «start it and be able to use it right away.»"
gforce_de commented on Fast SSIMULACRA2 Implementation in Zig github.com/gianni-rosato/... · Posted by u/computerbuster
Hi, author here – the README covers this in the Performance section: https://github.com/gianni-rosato/fssimu2?tab=readme-ov-file#...
If you run the `validate.py` script available in the repo, you should see correlation numbers similar to what I've pre-tested & made available in the README: fssimu2 achieves 99.97% linear correlation with the reference implementation's scores.
fssimu2 is still missing some functionality (like ICC profile reading) but the goal was to produce a production-oriented implementation that is just as useful while being much faster (example: lower memory footprint and speed improvements make fssimu2 a lot more useful in a target quality loop). For research-oriented use cases where the exact SSIMULACRA2 score is desirable, the reference implementation is a better choice. It is worth evaluating whether or not this is your use case; an implementation that is 99.97% accurate is likely just as useful to you if you are doing quality benchmarks, target quality, or something else where SSIMULACRA2's correlation to subjective human ratings is more important than the exactness of the implementation to the reference.
Thank you for clarifing this, it was a misread on my side.
The overall percentage deviation from the reference implementation is marginal,
but just the pure existance of 'validate.py' looked to me like it must match.
gforce_de commented on Fast SSIMULACRA2 Implementation in Zig github.com/gianni-rosato/... · Posted by u/computerbuster
It does not match with the reference implementation in my side:
#!/bin/sh
# originally from https://jpegxl.info/images/precision-machinery-shapes-golden-substance-with-robotic-exactitude.jpg
# URL1="http://intercity-vpn.de/files/2025-10-04/upload/precision-machinery-shapes-golden-substance-with-robotic-exactitude.png"
# URL2="http://intercity-vpn.de/files/2025-10-04/upload/image-png-all-pngquant-q13.png"
curl "$URL1" -so test.png
curl "$URL2" -so distorted.png
# https://github.com/cloudinary/ssimulacra2/tree/main
ssimulacra2 test.png distorted.png
5.90462597
# https://github.com/gianni-rosato/fssimu2
fssimu2 test.png distorted.png
2.17616860
Presumably that'll be some sort of funnel for a paid upload of prompts.
What seems missing: I can not see the answer from the different models. One have to rely on the "correctness" score.
Another minor thing: the scoring seems hardcoded to: 50% correctness, 30% cost, 20% latency - which is OK, but in my case i care more about correctness and latency I don't care.
Wow! This was my testprompt: