Kestrel-Trending
Kestrel-Trending scrapes Indonesia's Twitter/X trending topics from trends24.in/indonesia/ every 30 minutes and renders a rank-over-time bump chart: which topics trended, when, how high they ranked, and how long they stuck around.
Best paired with Kolibri, which detects inauthentic amplification behind a trending keyword.
Open the dashboard →About this dashboard
A scraper (trending/scraper.py) fetches trends24.in/indonesia/ every 30
minutes and appends new rows to one central CSV, deduping on (topic, hour). A report
builder (trending/report.py) rebuilds this dashboard hourly from that CSV:
search topics, toggle individual topics, pick a quick or custom date range, and read
each topic's first/best/last rank in the stats table below the chart. Fully
self-contained — the chart works offline, no backend calls at view time. Full history
is kept in the CSV regardless of what a given dashboard build embeds.