AttachAD
Free online tools to simplify your everyday tasks.
What it does
AttachAD brings useful online tools into one simple, fast, and easy-to-use platform. From file conversion to everyday utilities, our goal is to make common tasks easier without complicated software or unnecessary sign-ups.
Free online tools that run entirely in your browser. JSON formatter, JWT decoder, image converter, word counter, age calculator and more. No signup, no tracking, no limits.
A growing collection of fast, privacy-focused tools for developers, writers, students, and everyday use. Everything runs in your browser — no signups, no tracking, no limits. Find the right tool for the job — organized by what you're working on. JSON, JWT, Base64, UUID, cron expressions, timestamps and more. Word counter, grammar checker, plagiarism checker, humanizer and more. AI image prompts, title generators, SEO keywords, hashtags and more. Age calculator, random number generator and everyday calculators. The most-used tools on Attachad — open any of them instantly, no setup required. Prettify, validate, and minify JSON data in real time. Highlights syntax errors instantly. Decode and…from attachad.com
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The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.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 · 16d ago · simedw.com