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I stopped asking my AI agents to read the project memory. Now the server does it for them.

Shifting memory reads from agents to the server reduces latency and simplifies agent design.

Steady
Signal score
18
Trajectory
Steady
7-day est. ~19

Why this scored 18

every term, weighted
Velocity+0.0 / 40

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

Acceleration+11.3 / 25

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

Cross-source spread+0.0 / 25

How many independent communities are talking about the same entity

Recency+8.0 / 10

Decays to zero over 14 days

Saturation penalty0.9 / 30

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

Composite18.4

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

~19

range 030

14-day

~19

range 033

30-day

~19

range 038

Signal history

7-day window (free)
1723

projected trajectory (estimate, not a guarantee)

Embed a live signal badge
Signalcrest signal badge
[![Signalcrest signal](https://www.signalcrest.app/api/badge/dev%3A4636857)](https://www.signalcrest.app/topic/dev%3A4636857)

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