Content & growth

Higgsfield AI 🧩

@higgsfield_ai

Jev is really good at content filtering and asset selection. DeepSeek + Higgsfield turn the selected assets into ad creatives.

Ira Bodnar

@irabukht

Jev dropped the price of SEO/GEO fixes by 90% Agents that audit and fix a client's SEO/GEO used to cost us ~$250 Here's where the savings come from: 1/ 30x faster reads of Search Console and PostHog/Mixpanel data 2/ 30x faster checks of what ChatGPT searches on Bing 3/ 30x

Pick a niche, and Jev sorts fresh X posts into Read, Skim or Pass.

Ira Bodnar

@irabukht

Jev killed 7 more SEO/GEO workflows 👇 1/ Assess which competitor pages to copy -> It scores every competitor page on answer, depth, proof and freshness, then checks its rank in Google and ChatGPT to show which ones are worth copying 2/ Identify which page elements to change

jaffa

@dsqjaffa

today i'm releasing Jev for content marketing. still doomscrolling to figure out what to post on social media? that's over now... Jev watches EVERY video in your niche and judges it before it ever reaches you: 1. research: pulls every video in your niche from a database of

Nate Herk

@nateherk

Jev is tagging X posts in real time for me. Breaking, golden nugget, or slop.

Movez

@0xMovez

I just built a Jev X Viral Post Analyser. 100,000 viral X posts. 20.4 seconds. $0.67. Claude Opus 5, same corpus, same clock, got through 214 posts and spent $0.98. per post that is ~680x cheaper the full Opus pass would have run $458. viral analysis is the perfect Jev job.

Yum⋆₊˚

@yuhasbeentaken

Jev classified 1,315 X posts for about $0.086 in estimated model cost 😂 seeing everyone's Jev demos made me want to build something for my own content research. i'd collected a lot of posts, but figuring out what they had in common still meant opening them one by one and

keno

@kenonews

JEV makes competitor research feel like a cheat code. Give it your competitors’ ads. Break them down by hook, angle, offer and format. Then turn recurring combinations into a shortlist for your next creative test. From an endless swipe file to “here’s what we should try next.”

ares. 🎧

@aresotik

ESTA HERRAMIENTA ACABA DE ROMPER TODO EL MERCADO DEL AD SPY Maxfusion ha cogido JEV, el modelo nuevo de TypeSafe, y le ha metido la ad library entera de una marca → 1.891 anuncios clasificados → 19 segundos → 0,12 $ Y no es un resumen: cada anuncio etiquetado por etapa del

Sim Audience

@SimAudience

Jev is WILD I gave it two launch tweets and fed it over 4000 demographic profiles of real survey participants Twelve seconds later, a simulated A/B test tied to actual personas voting on the best tweet you can just do things i made it 100% free (link below)

Everton Carneiro

@everton_dev

I built a tool that finds App Store keywords by reading the competition, and uses Jev to judge them. What it actually does: 1. Turns the app's own listing into a handful of search queries, with Jev filtering out the ones nobody would type. 2. Runs those searches on the App

FerryCorleone

github.com

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Reads a WeChat thread and scores emotion, intent and reply quality.

ZeroGold

github.com

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A sales-call coach where Jev scores what was said.

mossyfield

github.com

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A SillyTavern extension that measures each reply before it lands.

Matthew Blode

github.com

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Catches AI slop in a diff before it ships.

PromptGTM

github.com

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Lead scoring in Clay, ranked by Jev instead of a prompt.

Matthew Berman

@TheMattBerman

jev KILLED the focus group. it scrolled 723 ads as 30 buyer personalities 21,690 stop or scroll decisions. 22 cents. (will be avail in @StealAds + mcp)