AnyQR
QR codes generated in your browser, never on a server
What it does
Most QR generators are a form in front of a server: whatever you type, including your WiFi password, gets posted somewhere before your code comes back. Nothing you type in AnyQR ever leaves your browser. The code is drawn locally, load the page, turn off your internet, generate one, and it still works. Codes are static, so what you download keeps working even if this site disappears. No account, no watermark, no scan limit, no expiry. English, Spanish and Portuguese.
Create QR codes for links, WhatsApp, Wi-Fi and text in seconds. Free forever, no registration, and your QR codes never expire. Scan QR codes from images or your camera.
Create and scan QR codes in seconds. No sign-up, free forever, and your codes never expire. A QR code is a picture that stores text. That is all it is. When a phone camera reads it, it recovers that text and the operating system decides what to do with it: a web address opens the browser, WiFi credentials offer to join the network, a contact card offers to save it to your address book. All of the information travels inside the picture itself, not on a server. That has one practical consequence worth understanding before you print anything: a code generated here cannot be edited afterwards. If you print 500 flyers with a code pointing at the wrong address, you reprint 500 flyers. In exchange…from anyqr.app
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More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com