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Scores Signups and Leads with Jev

WideNature1578 uses Jev to score new signups and leads from LinkedIn comments, and to examine organic versus paid engagement on X launch posts. The workflow pulls data with treg, gives Jev a question and possible answers, then uses its returned probabilities to decide what happens next, with uncertain cases sent for human review.

WideNature1578 in r/buildinpublic@WideNature1578
How I use Jev to decide which signups and leads need attention I've been using Jev to check new signups and score leads from LinkedIn comments. I recorded a walkthrough of how I set those up, plus a workflow for looking at organic vs paid engagement on launch posts on X. The setup is pretty small: I pull the data with treg, give Jev a question and a few possible answers, then let the script use the probabilities it returns to decide what happens next. I also show how to send uncertain cases to a person for review. One detail I spend time on is the wording of the options. In the support-ticket example, a double charge can end up with billing or engineering depending on whether I'm asking where the ticket belongs or who can fix the root cause. That changes how I write the question before co
Sep 29, 2026Reddit postsView on Reddit
The author highlights how the wording of the options affects results. For example, a double-charge support ticket may be directed to billing or engineering depending on whether the question is where it belongs or who can fix the root cause.

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