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hardwareentity · one source so far

dactyl

for robotics engineers

Steadyhackernews
Signal score
20
as of 57d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 20

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+9.5 / 10

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

Saturation penalty−0.6 / 30

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

Composite20.3

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, 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
    29

    How Dactyl Works

    OpenAI's Dactyl robotic hand demonstrates advanced manipulation using reinforcement learning. · for robotics engineers

    hackernewsSteady 2 · openaihardware57d ago