AI Analysis — Deep Dive
A trend pipeline is just a clean stack of ingest → embed → cluster → score → deliver.
Multiple ingestion jobs pull from APIs, RSS, scrapers and on-chain data. Content is embedded into a vector DB; LLMs cluster narratives, score sentiment and rank momentum. The top signals are pushed to a dashboard plus email or Telegram alerts.
Ingest: APIs, RSS, scrapers, on-chain. Embed: chunk + vector. Cluster: LLM groups items into narratives. Score: sentiment + momentum + novelty. Deliver: dashboard, email, Telegram, Slack.
We only embed and cluster new content, only re-score recent windows, and only send alerts when scores cross thresholds. Token usage stays linear with new data, not exponential with corpus size.