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aientity · one source so far

echo

for AI engineers, founders

Steadydevto
Signal score
5
as of 20d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 5

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+0.0 / 10

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

Saturation penalty−6.5 / 30

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

Composite4.9

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. 1
    20

    Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

    Cheaper AI models available · for ai founders

    hackernewsSteady 5 · claudeai95d ago
  2. 2
    19

    ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue

    Benchmark assesses context-sensitive turn-taking in full-duplex dialogue systems. · for dialogue system developers

    arxivSteadyai41d ago
  3. 3
    18

    Echo — Talk to the Person You Used to Be: A Zero-Cloud Private AI Memory Layer

    Zero-cloud AI memory layer offers private, persistent context for personal agents. · for AI engineers, founders

    devtoSteadyai22d ago