Signalcrest
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aientity · corroborated across sources

recursivellm

for ai engineers

Steady

5

signal score

1

live items

Cooling

7-day est. ~0

npm

Why this scored 5

every term, weighted
Velocity+0.0 / 40 max

Its fastest-moving item, measured against the pace of its own source

Acceleration+0.0 / 25 max

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

Cross-source spread+0.0 / 25 max

How many independent communities its own items come from

Recency+8.6 / 10 max

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty3.3 / 30 max

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite5.3

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity'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

~0

range 00

14-day

~0

range 00

30-day

~0

range 00

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 10

    recursive-llm-ts — TypeScript bridge for recursive-llm: Recursive Language Models for unbounded context processing with structured outputs

    Enables recursive LLM — for ai engineers

    npmaiSteady🔗 4 · typescript23 saturated18d ago