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1,931 products · 9,275 snapshots
DungeonQ

DungeonQ

Notable signal

Divert suspicious sessions into persistent decoy worlds

Launched 1d ago
Signal
49
Velocity
0

What this means

+943%Launching in a 943% WoW growing category.
Artificial Intelligence had 626 launches this week vs 60 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
13%
today
Projected end-of-day votes
55range 41–74
Trajectory
stable
Vote pace holding steady.
Speed vs peers
0.8×
28 AI Agents launches

About

DungeonQ diverts designated suspicious sessions into persistent synthetic worlds. Human and AI clients use world-only tickets; operators observe and approve bounded adaptation. Inspect recorded runtime checks and the original Astra experiment.

AI Summary

DungeonQ redirects suspicious sessions into synthetic environments for analysis, allowing operators to monitor and approve AI and human interactions. It features recorded runtime checks and is based on the original Astra experiment.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement4
Discussion per unit of attention

Editorial read

DungeonQ's signal is 49, marking a notable launch in AI agents.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.
255/8
Surprising

Signal 49 out of 100.

Timeliness5%100
carried 7%
Novelty15%96
carried 20%
Story20%87
carried 27%
Trend20%50
carried 27%
Business15%2
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 tracking6 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 scoring13% 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

Ranopha Liu
@ranopha
rep 22
Ranopha Liu
@ranopha · hunter

Topics

OpenAI DayDeveloper ToolsArtificial Intelligence