| name | trend-discovery |
| description | Discover rising category conversations, formats, sounds, questions, and creator patterns across social platforms, then separate durable demand signals from short-lived noise. |
Trend Discovery
Find trends a brand can use without producing a generic list of popular hashtags.
Inputs
- Brand, category, audience, market, and platforms.
- Decision horizon: react this week, plan next month, or shape a quarter.
- Optional competitor and creator seed list.
Workflow
- Build search seeds from category language, problems, desired outcomes, products, competitors, creators, and adjacent interests.
- Use
scrapecreators-api to collect relevant TikTok trend feeds, songs, song-linked videos, hashtags and creators; Instagram trending Reels, audio and search results; YouTube trending Shorts and search results; and Reddit or Pinterest discovery signals where the category warrants them.
- Compare the recent window with a baseline. A trend must show acceleration, cross-account repetition, or migration across platforms—not merely high lifetime views.
- Use
outlier-post-finder and transcript-intelligence to understand the content, not just the metric.
- Keep topic, sound, format, creator, and search-demand signals distinct. Classify each as emerging, accelerating, established, fading, or seasonal. Score brand fit, audience fit, regional relevance, shelf life, production effort, and reputational risk.
- Turn the best signals into a response: participate, adapt the format, answer the question, create an evergreen variant, or ignore.
Output
- Coverage and baseline.
- Ranked trend table with evidence, source links, stage, confidence, shelf life, and brand fit.
- Format/audio/topic patterns.
- Five recommended content tests with a clear reason and timing.
- Watchlist and false positives.
Do not claim a trend from one viral post. Label directional evidence and missing data.
