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aientity · one source so far

llmmaster

for ai engineers, ml researchers

Steadygithub
Signal score
1
as of 37d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 1

every term, weighted
Velocity+0.0 / 40

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

Acceleration+12.2 / 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+2.5 / 10

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

Saturation penalty−13.3 / 30

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

Composite1.5

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
    0

    llm-master — 大模型(LLM)全栈学习路线与中文教程🔥:覆盖 Prompt Engineering、RAG、AI Agent、MCP、微调、模型部署、Transformer、AI 编程与大厂面试,从入门到生产实践。

    Chinese LLM curriculum covers prompt engineering, RAG, agents, fine-tuning and deployment. · for ai engineers, ml researchers

    githubSteadyai−17 saturated48d ago