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  • Content Desk
  • Editorial QA
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Lab
  • Metric Bench
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Yours
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2,909 products · 13,612 snapshots
Jevtown

Jevtown

Strong signal

10,000 AI readers react to your post before you publish it

Launched 1d ago
Signal
73
Velocity
0

What this means

Rising steadily
Steady upward velocity sustained.
+94%Launching in a 94% WoW growing category.
Artificial Intelligence had 660 launches this week vs 341 last.
15Founder Conviction Index: 15 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
3.9×Founder historically performs 3.9× the median launch we track.
Best prior launch: Jev Wrapped, attention 62.

Prediction

Top-5 finish probability
23%
today
Projected end-of-day votes
88range 66–119
Trajectory
rising
Steady upward velocity sustained.
Speed vs peers
1×
4 Marketing launches

About

Write a post, a listing, a product or a headline, and 10,000 computed AI residents read it. The 600 it should matter to see it first, and it reaches the next 1,500 only if more readers were glad than annoyed, so a weak text dies for half a cent and a good one reaches everyone in 14 seconds. You get who stopped, liked, reposted or blocked, by interest, job, age, city and budget; the questions buyers would ask a listing first; and a demand curve over a product's price ladder. No sign-in.

AI Summary

Jevtown utilizes AI to analyze posts before publication, providing feedback from 10,000 virtual readers to gauge audience reaction. It offers insights on engagement metrics, audience demographics, and potential market demand based on user interactions.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement55
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.
235/8
Timeliness5%96
carried 7%
Novelty15%64
carried 20%
Trend20%49
carried 27%
Business15%36
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking7 readings since we picked it up
  • AI analysisMarketing
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring35% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Ivan Gabor
@ivangabor
rep 28
Ivan Gabor
@ivangabor · hunter

Topics

MarketingArtificial IntelligenceWriting