1. People have definitely tried this in the past in terms of having similar tech, but I don't think anyone has sanely approached it at the same angle. We're seeing so many more companies like EquipmentShare (https://www.equipmentshare.com/), UpKeep (https://www.upkeep.com/), Spot AI (https://www.spot.ai/) and others which are building core software for industries without necessarily having tons of video expertise in-house. Also other video-first companies like Gong (https://www.gong.io/), Mux (https://mux.com/), and Loom (https://www.loom.com/) are building platforms that might benefit from visual analysis at scale. Things like serverless functions were also less cool before.
2. There's a bunch of ways to search using Sieve. Some are fixed variables, others are visual similarity based. See here: https://sievedata.com/faq
3. Our target is the full stack developer within companies building cloud-first software for specific industries. Easy-to-use APIs are key because of this. They are the ones with the expertise to package it into a product that really works for the end user, and we're the ones with computer-vision and video expertise.