foundry
for app developers, ML engineers
Why this scored 11
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.
- 122
Foundry Local: What It Actually Means to Ship AI Inference Inside Your App, Not Behind an API
Embedding AI inference in-app cuts latency and avoids external API costs. · for app developers, ML engineers
devtoEmergingai18h ago - 217
Does cancelling the client-side stream of a Foundry agent response actually stop the server-side run, or does it keep executing MCP tool call?
Agent response behavior · for devops engineers
stackoverflowSteadydevtools40d ago