echo
for AI engineers, founders
Why this scored 5
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
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)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.
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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 - 219
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 - 318
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