Viggle JST-2
Notable signalJST-2: 3D scenes, characters and motion from one model
Launched 15d ago
Signal
48
Velocity
3
What this means
11.8×Growing 11.8× faster than the typical AI Agents launch.
Compared to 127 AI Agents launches at the same age.
35%Mid-tier finish likely.
Projecting attention of 111 by end of day-1.
Low discussion activity despite the attention.
Audience is voting but not engaging — could signal weak product-market fit.
Prediction
Top-5 finish probability
35%
today
Projected end-of-day votes
111range 83–150
Trajectory
stable
Vote pace holding steady.
Speed vs peers
11.8×
127 AI Agents launches
About
JST-2 is Viggle’s physics-native world foundation model for generating 3D scenes, characters and full-body motion in one shared world. Scenes take about one second, characters come from one image or text with motion built in, and motion comes from text or video. Try it free in the PINOC browser app, or use the API or MCP with agents like Claude Code. Benchmarks are Viggle’s own blind human tests.
AI Summary
Viggle JST-2 is a physics-native foundation model that generates 3D scenes, characters, and motion from a single input. It supports scene creation in approximately one second and integrates motion derived from text or video, with access via the PINOC browser app or API.
Attention & discussion velocity
Performance
Velocity3
Vote pace vs average
Momentum3
Sustained over 6h
Virality4
Spread × engagement
Engagement4
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking9 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 scoringbelow the signal threshold for this pass
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.