VectorDarts
Play. Practice. Compete
What it does
VectorOS is the all-in-one platform for darts players to score matches, track stats, practice with purpose, compete, and manage leagues. Built by a passionate darts player, VectorOS brings everything together in one modern experience to help players improve and grow the game. Join our early access community and help shape the future of darts.
VectorDarts: premium darts software. Play. Practice. Compete.
The modern darts platform built for players who want to improve, compete, and track every throw. From scoring and practice to tournaments, leagues, player profiles, and performance insights, VectorOS connects every part of your darts experience into one seamless platform. Thoughtfully designed to bring every part of the game together. Your personal VectorDarts home base for focused practice, head-to-head play, and local league registration. Track your performance, understand your game, and build better habits with every throw. Built for players who want to compete beyond local matches. Elite includes everything in Club and unlocks online access for official league participation, season…from vectordarts.app
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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 · 17d ago · simedw.com