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Jev for marketing

Finding what makes content work

An author-reported experiment using Jev to classify past X posts by topic, hook, and tone, then compare those attributes with engagement. A content-research experiment, not a standalone app or a guarantee of growth.

Added
2026-09-20
Creator
Ian Nuttall
Status
Reported experiment
Open resource

Source: Made with Jev · creator-post roundup. Details and metrics reflect the published community snapshot and are not a performance endorsement.

  • Applications

    notra

    Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.

    TypeScript 192Details
  • Applications

    draftpulse

    Experimental: live X draft viral scorer powered by TypeSafe Jev

    TypeScript 0Details
  • Agent tooling

    jev-seo

    100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One

    Rust 13Details
  • Jev for marketing

    SuperX · post scoring

    A reported Jev workflow that evaluates draft X posts across multiple questions, helping creators compare and refine their writing before publishing.

    Details
  • Jev for marketing

    StealAds · ad intelligence

    A demonstrated Jev workflow for breaking down competitor ads by hook, format, offer, CTA, and landing-page fit. The creator announced plans to bring the workflow to StealAds and MCP; current availability has not been verified.

    Details