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npmai

@earendil-works/pi-ai — Unified LLM API with automatic model discovery and provider configuration

Simplifies LLM integration

Steady

52

signal score

🔗 4

sources · openai

Cooling

7-day est. ~47

Why this scored 52

every term, weighted
Velocity+40.0 / 40 max

Engagement per hour, normalized against the fastest item on its own source

Acceleration+0.0 / 25 max

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

Cross-source spread+8.3 / 25 max

How many independent communities are talking about the same entity

Recency+8.5 / 10 max

Decays to zero over 14 days

Saturation penalty4.6 / 30 max

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

Composite52.1

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. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~47

range 4648

14-day

~46

range 4447

30-day

~45

range 4347

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

Entities

openai
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Drop this in a README or blog post — it updates automatically as the score moves.