Angelo
Clear insight into your angel portfolio without spreadsheets
What it does
Angelo is an ultra simple, yet decision-critical portfolio intelligence workspace for active angel investors. Track direct investments, SPVs, SAFEs, distributions, valuations, DPI, RVPI, TVPI, IRR, FX, in one clear view. Unlike expensive and B2B venture capital software, Angelo is designed for the way angels invest, with analytics for cash flows, exposure, concentration, vintages, attribution and return dispersion. Angelo+ adds deeper analytics, tool updates, and a community of active angels.
Angelo is the portfolio intelligence workspace and community for active angel investors.
Angelo brings your investments, distributions, FX, ownership and performance into one clear, instrument-aware workspace. Plus, an active community of peers. Angelo helps you record the mechanics of each investment, then turns them into decision-useful reporting. Track SAFE and convertible instruments alongside share investments, with cost and current-value mechanics appropriate to each instrument. See paid-in capital, distributions, residual value, DPI, RVPI, TVPI and IRR in the report currency you choose. Analyse positions, companies, exposures, cash flows, vintages, attribution, return dispersion, vehicles, stages and distributions. Beyond return dispersion and vintage analysis, other…from olivecapital.vc
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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.
AI · 16d ago · simedw.com