Angel Match
A founder pastes their company's website, the app reads it, works out the sector and the stage, and ranks a base of verified angel investors from best fit to worst.
Raising is mostly a sorting problem. Most lists of investors are long and undifferentiated, so founders spend their time filtering instead of talking. Angel Match does the filtering: paste a URL, it reads the site from the server, infers sector and stage, and orders the base by fit. You review the result as cards and swipe.
The part I care about is the validator. Every credential and every figure on a card has to appear literally in the source biography, or the row is discarded. I tested it by injecting lies on purpose, including lies that happen to be true but are not in the text, and it drops them. A card that cannot back a claim says nothing rather than guessing.
It started as a tool for my own round and was then rebuilt as a product for any founder, with the parts written for my company stripped out of the data.
