Building a Live Viral Post Analyzer with Jev
Riley Brown built a live viral post analyzer with Jev by TypeSafe AI. It analyzes viral potential 0.5 seconds after you stop typing and categorizes the tweet.
Testing TypeSafe Jev in BuildTraction to find the right potential users
The author is testing TypeSafe Jev inside the BuildTraction workflow to identify ICP-matching prospects, analyze their posts and intent, and add the best ones directly to a traction move, along with drafting an example.
“Talk to potential users” is easy advice. Finding the right potential users is the hard part. I’m testing TypeSafe Jev inside BuildTraction workflow to: find ICP-matching prospects analyze their posts + intent add the best ones directly to a traction move draft an example
· 2 likesOpen on X
More like this
Jev analyzes 724 live ads in 40 seconds
Jev broke down 724 live ads from 37 brands in 40 seconds, covering hooks, formats, offers, CTAs, awareness stages, and landing page mismatches, using only 9 cents of tokens, coming to @stealads and MCP.
Jev + SuperX: Predicting Virality with 61 Questions
Jev combined with SuperX generates 61 questions per post in ~1s for ~$0.0004. Trained on 9,481 real posts from 207 creators, it picks the viral post 2 in 3 times and never rewards reply bait. Free, no signup.
