HedgeFund Monitor
Free Hedge Fund Systemic Risk Data & Financial Calculators
What it does
HedgeFundMonitor.com brings institutional-grade alternative investment intelligence to individual investors, quants, students, and financial analysts—completely free. Bloomberg terminals charge $24,000/year for institutional fund data. We believe macro-prudential data and financial mathematics should be open to everyone.
Real-time hedge fund industry data from the U.S. Office of Financial Research. Track leverage, liquidity, counterparty risk, and AUM trends — free.
The most comprehensive publicly available hedge fund data in the world, sourced from the U.S. Office of Financial Research. Updated monthly and quarterly. Master the fundamentals of institutional investing, regulatory exemptions, fee drag, and leverage mechanics in plain English. Fund structures, $5T+ NAV scale, and key differences from retail investments. Management fees vs performance incentive fees and return compounding impact. SEC Regulation D income ($200k/$300k) and net worth ($1M) thresholds. Prime brokerage margin, bilateral repos, and synthetic risk amplification. Tracks the total true equity size of the hedge fund industry without leverage distortion. Reveals the total market…from hedgefundmonitor.com
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Commerce · 26d ago · equitybee.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