langgraph
for ai engineers
Cooling8
signal score
1
live items
→ Steady
7-day est. ~10
Why this scored 8
every term, weightedEngagement per hour, normalized against the fastest item on its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities are talking about the same entity
Decays to zero over 14 days
Subtracted once something is big and old — we rank what's next, not what's peaked
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 guarantee7-day
~10
range 8–12
14-day
~10
range 8–12
30-day
~10
range 7–13
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.
- 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 - 29
Graph-Based Agentic AI with LangGraph: Workflow Pathways for Long-Running Stateful Business Processes
Graph-based agentic AI — for ai engineers
arxivaiSteady5d ago