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aientity · corroborated across sources

f5-tts

for NLP engineers

Steady

21

signal score

as of 7d ago

1

live items

Too early

trajectory — needs a few more snapshots

github

Why this scored 21

every term, weighted
Velocity+0.3 / 40 max

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

Acceleration+12.5 / 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+9.3 / 10 max

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

Saturation penalty1.2 / 30 max

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

Composite20.9

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

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

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

    Persian-IPA-to-Speech-F5 — Simple Python API for Persian IPA-to-speech with F5-TTS

    Python API converts Persian IPA to speech using the F5-TTS model. — for NLP engineers

    githubaiSteady15 saturated8d ago