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Signalcrest
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aientity · one source so far

tree of thoughts

for ai researchers, prompt engineers

Steadydevto
Signal score
18
as of 3d ago
Live items
1
Trajectory
Steady
7-day est. ~15

Why this scored 18

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of 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 its own items come from

Recency+8.3 / 10

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

Saturation penalty1.3 / 30

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

Composite18.2

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, 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

~15

range 026

14-day

~11

range 025

30-day

~2

range 021

Signal history

7-day window (free)
1575

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. 1
    18

    Tree of Thoughts and MCTS for LLMs: What Happens When You Stop Making the Model Guess Once

    Combining Tree of Thoughts with MCTS offers more deterministic LLM reasoning. · for ai researchers, prompt engineers

    devtoSteadyai5d ago