crewai
for platform engineers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
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)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.
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How I Built an AI Agent That Cut My AWS Bill by 40% (CrewAI + Bedrock)
An AI agent using CrewAI and AWS Bedrock cut cloud costs by 40%. · for cloud architects
devtoSteadyai12d ago - 210
What happens when enterprise requirements hit Strands, LangGraph, and CrewAI - 45 runs measured
Benchmarks reveal enterprise constraints impact performance of Strands, LangGraph, and CrewAI agents. · for platform engineers
devtoCoolingai1h ago