Time Weaver
GPA 4.0 Elite OS：Defeat Procrastination & Quantify Execution
What it does
Time Weaver is a Cognitive-First execution infrastructure built for Top 5% university students and high-stakes builders. We are NOT another generic to-do list; we are an elite OS designed to build AI-proof career armor through cognitive data tracking.While traditional productivity tools fake progress with mindless AI automation, Time Weaver relies on intentional manual input to create neural commitment and deepen focus.
Time Weaver-Ultimate Support for Fulfilling University Students' Degree and Career Goals! Time&Task Management; Overcome Procrastination; Discover Any Obstacles to Success; Personalized Strategies for Successful Degree&Career Goals Attainment; Develop Health Living Habits; Understand Yourself Better; Reduce Stress! Mental Health Support!
Does the same job
all alternatives →
More work this month
the category →
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 · 17d ago · simedw.com