How Hampton Uses AI to Connect Founders with Shared Interests

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Here's an inside look at how @HamptonFounders uses AI to help members find their tribe This zap -Saves our team time AND -Makes new members feel special Let me show you how it works

Context: All new members @ Hampton introduce themselves in Slack We want to make sure these founders meet people with shared interests asap More connections = more value Here's how we help parents (or expecting parents) meet other founders managing a family and a business

First, we set our trigger to listen for new messages in our intros channel

CRITICAL Filter out threaded messages Every slack message comes with a timestamp. If a "Thread Ts" exists, then we know it's a threaded message For this zap, we only care about the introduction, not the responses

Send the introduction to OpenAI With a crafty prompt, we ask OpenAI if the author of the intro is a parent or would be interested in parenting advice Notice: I want my response as a "yes" or "no" answer. This is used in our next filtering step

Only proceed when the author is marked for parenting content

Lastly, we'll send a channel message in Slack

CRITICAL Because I'm going to point the author toward our parenting channel, we need to link channel names. Make sure this is "yes" -- This message is going to be a threaded response I'll link this message to the original introduction using the timestamp (Ts) from my trigger

Result: inform new members of a channel for parents growing their businesses Soon we'll recommend other members they should meet and other interesting channels Pretty neat, right? Best part is that this concept can be used on email, slack, and audio transcriptions!