Signalcrest
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aientity · corroborated across sources

langgraph

for ai engineers

Cooling

8

signal score

1

live items

Steady

7-day est. ~10

arxiv

Why this scored 8

every term, weighted
Velocity+0.0 / 40 max

Engagement per hour, normalized against the fastest item on its own source

Acceleration+0.0 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities are talking about the same entity

Recency+8.0 / 10 max

Decays to zero over 14 days

Saturation penalty0.4 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite7.6

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~10

range 812

14-day

~10

range 812

30-day

~10

range 713

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

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. 110

    The Rubric Line That Sent Me Down a Three-Layer Debugging Rabbit Hole

    Debugging challenge solved — for ai devs, hackers

    devtoaiSteady🔗 2 · langgraph7d ago
  2. 29

    Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business Processes

    Graph-based agentic AI — for ai engineers

    arxivaiSteady5d ago