Report generated on July 10, 2026: 99 tracked niches (18 root topics), 59 queries discarded as noise (titles, songs, channel names).
Momentum: last 3 months of interest vs the previous 3 · Interest: 12-month average (0 to 100) · Curve: 12 months of YouTube search interest.
Search interest over the last 3 months well above the previous 3 months (momentum of at least +25%).
Strong, stable interest across 12 months: these niches do not depend on a spike.
Interest that comes back in waves. The right topic at the right time.
Interest down at least 25% over the last 3 months. Caution.
The radar discovers queries through YouTube autocomplete from root topics (finance, fitness, gaming, AI, faceless...), then records 12 months of YouTube search interest for each one (Google Trends data restricted to YouTube search, 0 to 100 scale). Momentum compares the average interest of the last 13 weeks with the previous 13 weeks. A semantic classification pass discards noise (movie or song titles, channel names, ambiguous queries): only topics a creator can actually build on remain, and the discarded count is shown. The numbers themselves are never touched: they come exclusively from search data. The Analyze button runs a real search to see which small channels are breaking out on that query.