1,530 Jev Posts and a Starter Prompt to Find the Real Builds

Hi, I'm Adam. I used Jev to find out how GTM builders are using Jev. I pulled 1,530 Jev posts from X and LinkedIn with Apify and asked Jev three questions about each: is it about GTM, does the author work in GTM, and is it hype or a real build? 52% of the posts were hype or opinion, with nothing built. But there were 61 real GTM relevant builds from 54 people. Enter your email and I'll send you the full dataset and a starter prompt for your agent.

When you submit, I'll email you the link and subscribe you to my newsletter, Adam's GTM Report. Join 19,396+ subscribers getting my take on AI x GTM. Unsubscribe anytime and keep the data.

What you get

CSVhow-are-gtm-builders-actually-using-jev.csvAll 1,530 posts: author, date, likes, comments, reposts, the text and a link, Jev's three labels on every post, and the 61 real builds flagged with their GTM job.
MDREADME.mdThe starter prompt. Give it and the CSV to Claude or Codex and ask anything.

1,530 posts. 61 real GTM builds.

Josh WhitfieldSep 17, 2026

Score lists and ICP fit

500 structured judgments in about 27 seconds of API execution.

Open the post on LinkedIn

What 54 builders actually ran it on

Score lists and ICP fit20
Judge content, SEO and ads12
Sort replies and inbound8
Read every sales call5
Clean CRM and data fields4
Route inside revenue agents3
Mine your LinkedIn network2
Gate event applications1

Inside the files

how-are-gtm-builders-actually-using-jev.csvcsv

author_name	date	likes	comments	reposts	text	jev_gtm_probability	jev_real_build_probability	jev_gtm_author_probability
Ruben Hassid	2026-09-25	696	241	28	This AI is going viral, but it CANNOT even write a single sentence. And I can't believe wh	96%	100%	36%
Morgan Brown	2026-09-18	223	23	19	Jev is insane. Did a quick test on https://t.co/kK46nSzY87 for internal linking opps for s	93%	99%	19%
Lorcan O'Rourke	2026-09-22	207	46	5	JEV + Clay Audiences just changed Account Prioritization Forever Jev is TypeSafe AI new mo	96%	94%	62%
🦾Eric Nowoslawski	2026-09-17	139	38	1	I got access to Jev and immediately thought "this is going to create so much shareholder v	95%	96%	94%
Joe Rhew	2026-09-25	124	38	3	Jev is 19x cheaper and way faster than GPT-5.6 Luna in my GTM workflow - but I switched to	81%	100%	91%
Adam Schoenfeld	2026-09-24	107	38	4	I analyzed 4,346 LinkedIn posts about Dreamforce and 2,789 about HubSpot's UNBOUND. Apify	94%	99%	92%

1,530 rows

README.mdmarkdown

# 1,530 LinkedIn and X posts about Jev

*Every post labeled by Jev, and ready to hand to an agent.*

Hi, I'm Adam. I wanted to know the answer to "How are GTM builders actually using Jev?" So I collected the posts about Jev on LinkedIn and X and had Jev label each one. I'm analyzing them and will share my takeaways in [my newsletter](https://adamgtm.com), but figured others would want the raw data too.

Here it is. Give `how-are-gtm-builders-actually-using-jev.csv` to Claude, ChatGPT, Codex or anything else that reads a CSV, and start with the prompt below.

## How I built this

I started with the posts my market tracker already had, then ran a lot of search variants with [Apify](https://apify.com/?fpr=adamgtm) for $1.98 to reach as much of the conversation as I could, but LinkedIn and X only give you so much, so treat this as a solid sample and not every post ever written about Jev. Then I had Jev, TypeSafe AI's decision model, label every post, which cost $0.64 in all, and checked its answers against 80 posts that Claude read in full and labeled before seeing what Jev said. If you want to answer your own question the same way, [sign up for Apify free](https://apify.com/?fpr=adamgtm) and point it at your topic.

## What's in the file

1,530 rows, one per post, published between 2026-09-10 and 2026-10-01: 854 from LinkedIn and 676 from X. 18 columns:

Apify pulled the posts, Jev sorted every one, and Claude read each likely build in full. Borrowed a lot of this from Matt Van Horn's /last30days.

Public LinkedIn and X posts that mention Jev, Sep 10 to Oct 1, 2026. Jev's labels are its own reading of each post; a real build means Claude read the post in full and it reports the author running Jev on their own data for a GTM job. A builder with runs in two jobs counts in both.

Built with Apify Jev Claude