Yeah also this:

Outlit’s goal is to amass as much real-time information about a company’s clients as possible. According to Earle, agents trawl internal records like call logs and sales data as well as external information like social media posts and the websites of people’s employers; they then compile that data into detailed customer profiles, often complete with “actionables” like outreach recommendations and sales guidance. Outlit argues this level of insight will help companies prevent “churn” — business jargon for lost customers — or find opportunities to upsell.

Isn’t new or novel in any way. Our sales team at the company I work for has a bespoke version of this. The model pulls in information from previous customer interactions, scours LinkedIn and the web and larger industry trends, and gives them a profile. There’s no benefit to having some long running agent that constantly watches someone’s online activity when you can ingest the log when it’s actionable.

They’re grifters who will grift people with no idea how this stuff works, they’ll get a valuation of x number of millions with some CLAUDE.md files omarchy style, then salesforce will eat them for their valuation and they go on to grift some more