SplitBrain
Worlds Smartest Ai Journal
What it does
Meet Split-Brain: your AI cognitive companion that uncovers hidden patterns in your thoughts. Log your reflections, and our engine instantly reveals recurring moods, emotional triggers, and productivity peaks—no manual tagging needed! By turning your entries into a visual matrix, you get powerful insights to anticipate stress, optimize your focus, and navigate your mind with absolute clarity.
Write down daily reflections. Split-Brain automatically detects emotional patterns, charts behavior shifts across time, and lets you query your memory database like an AI oracle. Discover SplitBrain on Product Hunt and explore the story behind the AI-powered journal. Explore the official Product Hunt feature and support SplitBrain as we build a smarter way to understand your own mind. "Noticed a recurring dip in energy mid-week when handling back-to-back reviews. Morning logs consistently show peak productivity." "Ask questions about your emotional triggers or past entries instantly." Engineered to map psychological continuity and behavior trends over time. Automatically detects…from splitbrain.mdshaikh.online
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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