Simple Gratitudes
A simple place to share what you're grateful for
What it does
Simple Gratitudes is a simple place to practice gratitude every day. Write down what you're grateful for, keep your gratitude journal, and discover gratitudSimple Gratitudes is a simple, positive space for sharing the things you're grateful for. Create your own gratitude, discover what others are thankful for, and take a moment to appreciate the good things in life. No clutter, no complicated features—just gratitude from others.
Simple Gratitudes is a simple place to practice gratitude every day. Write down what you're grateful for, keep your gratitude journal, and discover gratitude from others.
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- ASA social feed with no strangersApr 2026 · grateful.so · ▲9
Grateful is a gratitude app with a simple social layer. You write a short entry, keep it private or share it to a circle. A circle is a small private group of your own making — family, close friends, whoever you'd actually want to hear from. It shows you the most recent post first. People in the circle can react or leave a comment. There's also a daily notification that sends you something you were grateful for in the past. Try it out on both iOS and Android. Go to grateful.so

More growth this month
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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 · 16d ago · simedw.com