SOAR
Trade private companies from startups to Pre-IPO.
What it does
$10,000 trading competition + public beta for Soar, the private markets derivatives exchange, where you can trade pre-IPO startups like OpenAI, Anthropic, Stripe and other fast-growing early-stage companies. to get involved, check the instructions in our tweet! https://x.com/TrySoar/status/2090507613620363544?s=20 Soar is the full-stack exchange for private companies, combining both derivative and secondary markets in one venue.
Trade synthetic markets on pre-IPO startups like OpenAI and Anthropic. SOAR is the Robinhood for private companies. Join the waitlist for early access.
Get early exposure to high-growth companies you love, before the rest of the world catches on. Don't just consume them, trade them. SOAR lists synthetic markets on the valuations of leading private companies, including OpenAI, Anthropic, SpaceX, Databricks, Waymo, Stripe, and other hot startups before they go public. Take positions in the next hot startup while everyone else is sidelined. Put your money where your mouth is, finally. Always liquid. Enter and exit positions anytime. No waiting on IPOs or secondary deals. Give your conviction value. Get exposure to the hottest startups all from the palm of your hand. Long or short the companies you interact with every day. Open to everyone.…from trysoar.com
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Life & fun · 10d ago · louisabraham.github.io
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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.
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