Jev for social feeds and slop detection

Marcel Pociot 🧪

@marcelpociot

I built a browser extension with Jev @typesafeai that can hide/collapse posts on X based on natural language. It's so fast that it's not noticeable and insanely cheap...this must be the future of "ad blockers" and content firewalls.

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 ↓

Jon Kraayenbrink

@kraayenJon

jev is INSANE. in 243 ms it checked a website for 35 tells of ai slop. purple gradients. emoji headers. "seamlessly". fake testimonials. bento grids. the works. used $0.00015 of tokens. paste any url, get a slop score. free: madewithjev.com/free-tools/ai-…

Ian Nuttall

@iannuttall

I gave Jev 3,282 of my X posts across 100M views and asked it to find what actually works for growth. 4,252,330 tokens $0.1282 for the full 8m 34s run! Each post got 8 questions about the topic, hook, tone, whether it teaches something, etc. How-to posts got 150 median likes vs the average median of 44. AI and coding was a 1.9x multiplier topic compared and SEO, despite recent posts, was right at base median 1.0x - surprisingly. The recommended topic + angle + voice formula was: AI coding + teach something + provocative

Jon Kraayenbrink

@kraayenJon

Jev repos blowing up right now. I made a list of the repos people are using to build with jev. 👇

leo

@leojrr

rebuilt the X algorithm with Jev - uses real weights - simulates virality of your post - has a global feed (you see everyone) it's insanely accurate

Ian Nuttall

@iannuttall

Pro tip: You can use Jev to remove annoying reply guy comments that X seems to always miss. Takes 5 minutes in Astra with the docs and an API key.

Riley Brown

@rileybrown

Just created this with Jev by @typesafeai. A live viral post analyzer. As soon as you stop typing for .5 seconds it analyzes the viral potential. Going to try and actually make this good, will need to scrape a lot of twitter data... Notice how it also categorizes the tweet live... I could have it surface similar tweets on the right side for inspiration... idk just experimenting.

Jozef

@jozef_gherman

Announcing Jev Detector The world's fastest AI slop detector, built on jev from @typesafeai ~10,000 words scanned for slop in ~2 seconds Best part, its free, no sign up required, enjoy! jevdetector.com

Steve Krouse

@stevekrouse

typesafe's jev is fun! live demo you can play with: typesafe-demo.val.run

Kevin Wang

@mxfp4

everyone's making demos with Jev but nobody is making real products introducing lurk.so find and monitor reddit threads to get cited by AI > FREE > 4000 reddit threads scanned > email, discord, slack only possible to give for free bc of Jev & @getanyapi

Peter Wang

@the_cyw

I made a chrome extension to label all the X posts on my timeline. It tells me if each post is clean, engagement bait, promo, secondhand or filler. $0.03 for 1000 posts. Open sourced if you want to try it out.

Rob Hallam

@robj3d3

Jev just solved doomscrolling. You pick a niche, Jev reads 3 days of posts and asks 8 questions each. It runs in ~2s for $0.007 😅 > removes bait and hidden ads > judges the text and like/reply/repost ratios Free, no signup, go try it then touch grass ↓🌲

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. • it is not writing, it is 14 yes/no calls per post: > does the hook open a loop, > is there a number in the first line, > is the proof real or claimed. classification, not prose. • what it found: 1,220 posts broke into the top 1%. baseline 1.22%. > superlative claim - 2.34% viral. 1.92x baseline > contrarian take - 1.59%. 1.31x > launch / tool drop - 1.46%. 1.19x and numbered lists, the thing everyone writes: 0.55%. below baseline. the most used hook is the least viral one. full stop. • what you are watching: left is the post under analysis, right is Jev answering 14 typed questions about it, each with a confidence score. the run stops at 20.4s because that is when Jev finished all 100k. pulled the corpus through a few X APIs, one parallel pass into Jev. should I drop it to public? Read my latest article on Jev Engineering below and turn your ideas into reality.

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 taking notes. so i built a dashboard around Jev. it labels each post across 8 dimensions, including topic, hook and writing style. now i can filter by topic and hook, compare engagement, and open the original posts to see the examples behind each pattern. my archive is a lot easier to learn from now.

Florian Darroman

@floriandarroman

Jev is INSANE. I asked 100 Indie Hackers to build a post scheduler with: Jev vs Fable 5.1. The results are unexpected 🤯 (You can clearly see Jev is faster at doing stuff)

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)

Sabrina

@sabrinaesaquino

Jev is now live on the Venice API. Watch it classify 24,000 Hacker News posts into 12 categories in about 2 minutes

Wayne Nilsen

@waynenilsen

Jev to unslop Jev as slop linter

Vintuxai

@vintuxai

Stop settling for mediocre AI outputs. 🤖 Introducing slop-grader: The new Jev-AI CLI tool designed to audit text against your specific rulesets. It’s time to take control of the "slop." 🛠️ Here is the breakdown 🧵 #AITools #ProductivityAI

tshmieldev

@tshmieldev

Jev vs LLMS for clasifying tweets in your feed! Try it out: github.com/tshmieldev/sha… Make sure to drop a star!

tanav

@tanavtwt

Created a slop detector extension with Jev It scans all the post on the screen in the real time and classifies it on categories like scam, slop, clean, etc. Shows a minimal badge on the post with the confidence score. Comment bellow if you want to try the extension.

Manoj Rajendiran

@svencreations

Creators saying their new tool “killed” another is understandable. It’s marketing and rage bait. But people retweeting it without even trying the tool? That’s the worrying part. I’ve seen at least 10–20 “Jev killers”(@typesafeai) on my timeline already. Tried a few myself. Most weren’t even close. We’re amplifying opinions before forming our own.

スナガク | Codexではじめるエージェンティックコーディング

@suna_gaku

一日遅れですが、Jevを使ったアプリを作ったので共有します！ Xに投稿する前に、「彼女に見られても怒られないか」を判定してくれるアプリです。喧嘩を未然に防止するため、ぜひチェックを挟んで下さい！ アプリ URL sunagaku.com/labs/kanojo-ch… X の元投稿 x.com/suna_gaku/stat… #aimeetup

Satoshi Nagayasu 🧠🤖

@snaga

TypeSafe System One（Jev）によるHacker Newsパーソナライズ推薦の実験と複合判定アーキテクチャ gist.github.com/snaga/12c62ad5… 毎朝、Hacker NewsのチェックをAIエージェントでやってるんだけど、自分向けのレコメンドをJevで組んでみた。 なるほどー、という感じである。楽にはなりそう。

AMIT RAWAT

@sahajamit

I built a Chrome extension that judges every post in my feed before I reach it. READ, MAYBE or SKIP, in about 300 ms, using Jev by @typesafeai. No scripted rules, no selectors, no LLM. Real time, my X feed:

erKam 🅰️

@erkamyaman_ng

in 2026, why is CLAUDE.md still a suggestion? one @typesafeai Jev request checks every Claude Code reply and edit against every rule you wrote. break a rule, Claude gets it quoted back and rewrites. 348ms per check. 93.3% of broken rules caught on our benchmark.

Ali

@alisadiq_ai

Been playing with Jev, and I built a realtime filter for my LinkedIn feed. Trying to be more active here without drowning in AI slop. It scores posts in real time based on what I care about. Change the prompt, change what matters. Open source. Demo below 👇

Eric Yang

@ericjingyang

In Silicon Valley, Jian Yang built the Not Hotdog app. A decade later, his bro has finally continued the family business. The Not Slop extension, detects LinkedIn and X slop as you scroll, powered by Jev. Every generation gets the classifier it deserves.

GeethanTech

@GeethanTech

Jev returns bounded choices, scores and probabilities instead of prose. That limits out-of-schema output, not incorrect decisions. TypeSafe’s speed and cost claims still need independent testing. geethantech.com/posts/jev-type…

Siim Haugas

@siimh

scoreboar v8: 128 MB instead of 597, about 30 ms a post instead of a second. and more accurate. guessing which of two X posts did better for its account size: 61.4%. grok 4.7: 55.3%. jev: 52.5%. free, in your browser. github.com/Siim/scoreboar…

emil

@esnx_xyz

you know how x feed is blasting you with promos, politics, rage baits, etc? so i made a (tamper)monkey script that uses jev to classify and hide types of posts you don't want