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fable-orchestrator — Fable 5.1 orchestrates. GPT-5.6 Luna and DeepSeek V4 Flash implement.

New orchestrator integrates multiple LLMs for advanced generation pipelines.

Steady

32

signal score

🔗 3

sources · gpt

Cooling

7-day est. ~20

Why this scored 32

every term, weighted
Velocity+0.0 / 40 max

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+11.4 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+16.7 / 25 max

How many independent communities are talking about the same entity

Recency+7.7 / 10 max

Decays to zero over 14 days

Saturation penalty3.8 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite31.9

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~20

range 032

14-day

~8

range 022

30-day

~0

range 00

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

Entities

fableorchestratorgptdeepseek v4 flash
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