The answer
Most of the list is on its way down. At the last snapshot 21 topics were fading and 21 had already left the list, against 10 rising and 11 new.
Tell which Weibo hot-search topics are rising, peaking or fading by comparing repeated snapshots.
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Three snapshots of Weibo’s top 50 hot searches between 15:30 and 16:10 on a weekday.
Most of the list is on its way down. At the last snapshot 21 topics were fading and 21 had already left the list, against 10 rising and 11 new.
"Only children may not inherit all of their parents’ estate" climbed from #14 to #5 and its heat grew 81% in 40 minutes.
An AI short drama set in the Song dynasty held #2, but posts about it fell from about 10 a minute to 3–5. The first wave is over; joining now means joining late.
From a real run on 2026-11-05. Political topics are reported as data only.
An Agent that can read the complete Skill folder. Live research also needs a SandBase connection; supplied material can be used without a lookup. It needs about 20–40 minutes for repeated snapshots.
Download and unpack the complete Skill folder, keep its references, and use it with a local Agent that supports Skills.
Use weibo-hot-lifecycle to take three Weibo hot-search snapshots 20 minutes apart. Tell me what is taking off, what is fading, and whether the AI micro-drama topic is still climbing.
Save the hot list at a fixed interval, at least three times; drop ads.
Match topics, compute position and heat change, and classify each stage.
Read the newest posts for chosen topics twice and compare the flow.
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.
One list shows what is hot. Change over time shows what is moving, which a single list cannot.