X · by tshmieldev
The same tweets classified both ways, open on GitHub.
tshmieldev
@tshmieldev
Jev vs LLMS for clasifying tweets in your feed! Try it out: github.com/tshmieldev/sha… Make sure to drop a star!
Sep 21, 2026 · 5 likesOpen on X
The author shares a project that compares Jev and an LLM at classifying the tweets in your feed, and invites people to run it on their own timeline from the repository.
Open the source
Matthew Berman
@TheMattBerman
jev is INSANE. in 40 seconds it broke down 724 live ads from 37 brands. every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens. (will be avail in @stealads + mcp)
Rob Hallam
@robj3d3
Jev + SuperX = virality solved ✅ Every post gets 61 questions in ~1s for $0.0004 🤯 > fitted on 9,481 real posts from 207 creators > picks the viral post 2 in 3 times > never rewards reply bait So: write, score, rewrite, stop when it peaks. Free, no signup. try it below ↓
Romàn
@romanbuildsaas
JEV is INSANE. We gave it 700 high-intent leads and personalised outreach messages. In 40 seconds, it predicted how each message would perform, assigned a confidence score and detected lead-message mismatches. All for just $0.09. JEV can also score leads, analyse buying signals, match each prospect with the best message and identify the campaigns most likely to perform based on data. Coming soon to @GojiberryAI+ MCP. Comment “JEV” for early access.
