Jacob D.

Yeah I was thinking the same thing re: attribute. And what did you mean by hink haha?

Interesting thanks for the feedback. Idea is to provide live high quality prompt context for AI-personalized messaging/lead magnets and potentially rolling it up into live competitor monitoring/reporting - I didn't include in the doc since it would be a mess but the api returns the web content for each competitor. Does that sound like something that could be useful? And trying to figure out the balance between coverage and ensuring quality, this was the raw list that it sourced and obv it only filtered through the ones in the doc you saw: https://segment.com/, https://www.databricks.com/, https://www.thoughtspot.com, https://www.datadoghq.com/, https://www.sumologic.com/, https://www.sisense.com/solutions/, https://www.altair.com/data-analytics/, https://zenoptics.com/, https://www.iquantiv.com/, https://godatadrive.com/ How does this list look?

Done - what one is more useful? https://docs.google.com/document/d/1sfUhSmQR1zP3S-KZrZJ4iSrB_7Ixa9UCUTZOpVZKFqU/edit

Haha yep that will take a while - I'd just batch process it in groups of 500/1k if that makes sense for your use cases

Closest thing is probably just using the set number of rows to run or just turn off auto run and trigger each row manually

I like Phantombuster but I've heard good things about Expandi as well

Phantombuster is the only one I have experience with but I've heard good things about the other two mentioned!

It’s helpful to list out derivates of their about about us page (/about, /about-us, /people, etc.). It increase overall accuracy by saving it a step. If you want a boost over that, I use a 3 column workflow to get the site map, use gpt-4 column to semantically filter and return the about us page path and then use another ai column in json mode to scrape and return the exact count.