Tell whether a topic is heating up on Douyin, how fast and why, from the platform’s own boards and keyword index.
v0.1.1
View example draft · How to useExample draft
预制菜, 空气炸锅 and 露营 from 2026-10-06 to 11-04, for a kitchen-appliance brand.
空气炸锅 (air fryer): rising. Content index +22% versus the previous 30 days and +8% versus last year; search +24%. 预制菜 (pre-made meals): flat in content, rising in search, far below last year (−53%). 露营 (camping): cooling. Content −4%, search −5%; still +30% versus last year.
Excerpt from an actual run on 2026-11-05.
An Agent that can read the complete Skill folder. Live research also needs a SandBase connection; supplied material can be used without a lookup.
Download and unpack the complete Skill folder, keep its references, and use it with a local Agent that supports Skills.
Use douyin-trend-radar to compare 预制菜, 空气炸锅 and 露营 on Douyin over the last 30 days. Tell me which is rising, what drove each peak and how people phrase the topic.
Use the last full days and send all keywords in one index call so the values are comparable.
Compare averages, first and last week, and the peak days with the content behind them.
Check related hot words and the current hot and rising lists, then write the verdict.
Download and unpack the whole Skill folder, including references, into your Agent’s supported Skill directory. You can also ask the Agent to read its SKILL.md and follow the instructions. Run it locally with your own material.
No. They are Juliang relative scores, comparable only between keywords in the same call.