> buy rather than build Candidly, this is our biggest challenge. If we can surmount this, we'll be huge. This is also why care so much about "upmarket brand".

> buy rather than build Candidly, this is our biggest challenge. If we can surmount this, we'll be huge. This is also why care so much about "upmarket brand". Decisions aren't made by numbers alone. We need to show that we're the smarter way to grow faster because other top companies are doing it. This is a big bet. Is there a threshold for engineer TAC in search, discovery, and ads? $1M? 2? More? Hire a dozen? One hundred? I've seen these numbers. They happen because the potential value is there and the VC funding is there, but I haven't always seen the delivered engineering results. Us? We've been there, done that. We'd like to focus on delivering the results, and we know from experience that's going to happen better from the outside. > no crossover between any of your customers The model architecture and infra are the same, but the literal weights in memory are totally independent. Most of the heavy customization is in allocation rules and blender, and we have a DSL for that. https://github.com/promotedai/schema/blob/main/proto/delivery/blender.proto https://github.com/promotedai/schema/blob/main/proto/deliver...