Crustdata Research
Org charts, alumni mafias & talent flow for any company
What it does
Every company profile on the internet shows the same recycled facts. Crustdata Research is built from the people instead: we analyze thousands of employee profiles per company to map the org chart, find every company their alumni founded, and show which companies feed them talent and which ones poach it. 38 companies covered (Ramp, Deel, Wiz, Waymo...), refreshed monthly, every chart computed from raw data. Free, no signup.
Look inside the world's fastest-growing companies: org charts, alumni mafias and talent flow, computed from real people data.
Gusto provides payroll, HR, benefits and compliance software to over 500,000 small businesses. Deel is a global HR and payroll platform that serves over 40,000 customers across 150+ countries. Ramp is a financial operations platform that sells corporate cards, expense management, and accounting tools to businesses. Carta provides software for managing private company equity and fund administration, used by 50,000+ companies globally. Cohesity sells enterprise data protection and AI-powered analytics software. Crypto.com is a cryptocurrency trading platform with over 100 million users. OKX is a cryptocurrency exchange and Web3 wallet provider used by millions of traders and institutions…from research.crustdata.com
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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