Description: This tutorial demonstrates building a Cloud Code–based trend-listening system that ingests Twitter, websites, YouTube and other sources to surface industry signals. The presenter shows a live use case for AI news collection, automated scoring and visual summaries, and explains integrations (APify, Firecrawl, Kai AI). Practical steps cover setup, feedback-driven personalization, and workflows for content, marketing or portfolio monitoring.
Main ideas:
– Curate and score real-time signals from chosen sources (selected Twitter accounts, labs and news sites) and refine relevance via user feedback.
– Integrate scraping and ML services: APify for social, Firecrawl for web content, Kai AI for auto-generated infographics and visuals.
– Automate workflows: schedule daily runs, build an HTML interface, rate items and update instructions so relevance improves over time.
– Apply outputs to content ideation (instant posts, video concepts) or portfolio monitoring with trend-aware alerts and suggested actions.
Quotes:
Twitter is the freshest.
I’ll have zero like ideation or mental fatigue thinking about what’s the next concept.
Listening to trends is super important, especially in 2026 because the rate of innovation is insane.
Statistics
| Upload date: | 2026-04-07 |
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| Likes: | 102 |
| Comments: | 8 |
| Statistics updated: | 2026-05-07 |
Specification: My Claude Code System For 10x More Views
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