Muse Wonder
Strong signalMeta’s most capable models for personal agents
Launched 12h ago
Signal
65
Velocity
0
What this means
9×Growing 9× faster than the typical AI Agents launch.
Compared to 3 AI Agents launches at the same age.
51%Mid-tier finish likely.
Projecting attention of 199 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
51%
today
Projected end-of-day votes
199range 149–269
Trajectory
stable
Vote pace holding steady.
Speed vs peers
9×
3 AI Agents launches
About
Muse Wonder is Meta’s new model series for personal and professional agents, with two models: Muse Wonder and Muse Wonder Full. Active Memory carries your context across conversations, Active Focus keeps working through blockers on hard goals, and it adds domain expertise in law, finance, and health plus stronger coding. Muse Wonder is live on the Meta Model API and Muse Code. Muse Wonder Full is for Muse Code subscribers.
AI Summary
Muse Wonder is Meta's latest model series designed for personal and professional agents, featuring two variants: Muse Wonder and Muse Wonder Full. It includes capabilities like Active Memory, Active Focus, and domain expertise in law, finance, and health, and is available on the Meta Model API and Muse Code.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum25
Sustained over 6h
Virality0
Spread × engagement
Engagement2
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.
ThinLittle evidence and no strong angle. Nothing to build on yet.
105/8
Timeliness5%100
carried 7%
Trend20%30
carried 27%
Novelty15%21
carried 20%
Business15%16
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 tracking4 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.