xiaohongshu
for social media devs, growth marketers
Why this scored 5
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
Outlook
medium confidence · estimate, not a guarantee7-day
~4
range 0–16
14-day
~4
range 0–19
30-day
~5
range 0–24
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.
- 16
Easel — An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohong
Open-source AI agent automates trend detection and content publishing on social platforms. · for social media devs, growth marketers
githubSteadyai−17 saturated6d ago - 20
xiaohongshu-ai-workbench — 《小红书运营手册 · AI工作台》: free Codex Skills for Xiaohongshu operations
ai workbench for xiaohongshu · for ai founders, xiaohongshu devs
githubSteady 2 · codexai−13 saturated47d ago