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securityentity · one source so far

rtx 4090

for devops engineers, security engineers

Steadydevto
Signal score
8
as of 9d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 8

every term, weighted
Velocity+1.9 / 40

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

Acceleration+7.7 / 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−1.8 / 30

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

Composite7.7

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
    37

    Roku GitLab move, GrapheneOS bank apps, Denmark's Office pilot and the RTX 4090 unlock

    Roku integrates GitLab, GrapheneOS adds bank apps, and RTX 4090 unlocks new capabilities for developers. · for devops engineers, security engineers

    devtoEmerging 2 · grapheneossecurity9d ago
  2. 2
    28

    Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s

    Shows 125B model can run on consumer GPU, enabling local inference without cloud costs. · for ml engineers, ai startups

    hackernewsSteady 2 · qwen3.8ai30d ago
  3. 3
    0

    TurboVLA — TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

    Fast vision model · for ai researchers

    githubSteadyai−15 saturated92d ago