R.SPACE
Buy, sell, invest in any country, from anywhere in the world
What it does
Real estate is the largest market in the world. $326 trillion. There is no single global platform yet where you can see new developer launches across different countries, secondary market listings, rental properties and close a deal, all in one place. R.Space is the first AI platform where the entire global real estate market comes together. Buy, sell, invest in any country, from anywhere in the world.
Buy, sell and invest in property from one place. Live today: 135,000+ Dubai listings, 6,800+ projects across 20+ countries, direct chat with brokers, launch calendar and deal tools.
Buy, sell and invest from one place. The market sits on a live map, the numbers are already worked out, and whoever is behind a listing is one message away. This is the real page. One tap on a preset turns the whole catalog into a curated feed. Filters cover price, size, beds, views and payment terms, and buy flips to rent without losing your search. The full map application, embedded here with the same filters, cards and clusters you get on the site itself. The same catalog already holds projects across 20+ countries, among them Spain, Saudi Arabia, the UK and Qatar, so your next market works exactly like your first. No forms that sell your number to eight strangers. Every listing belongs…from rspace.ae
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Life & fun · 11d ago · louisabraham.github.io
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