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2,909 products · 13,612 snapshots
slop-grader

slop-grader

Strong signal

Jev-AI CLI tool that evaluates text against custom rulesets

Launched 1d ago
Signal
67
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.
17Founder Conviction Index: 17 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
23%
today
Projected end-of-day votes
89range 67–120
Trajectory
rising
Steady upward velocity sustained.
Speed vs peers
1×
11 AI Agents launches

About

slop-grader is a rule-based CLI tool that evaluates documents against custom rulesets and produces document scores and line-by-line flags to guide auto-fixing with an AI agent. Use it to catch AI filler in launch copy, to strip buzzwords from landing pages, score narrative flow in launch emails. Flagged lines let agents draft sharper copy. The tool flags outputs prompts so agents can draft fixes.

AI Summary

Slop-grader is a command-line interface tool that evaluates text documents against customizable rulesets, providing scores and line-by-line feedback for improvement. It is designed to help users identify and eliminate filler content and buzzwords, enhancing the clarity and effectiveness of written communication.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement22
Discussion per unit of attention

Editorial read

Slop-grader scores 67, marking a strong debut for a unique AI tool.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.
265/8
Surprising

Signal score of 67 out of 100, 32 hours after launch.

Timeliness5%96
carried 7%
Novelty15%80
carried 20%
Story20%72
carried 27%
Trend20%49
carried 27%
Business15%12
carried 20%
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 analysisAI Agents
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring23% 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

Lukas
@lukstei1
rep 23
Lukas
@lukstei1 · hunter

Topics

AdvertisingArtificial IntelligenceGitHubWriting