neo-daily-brief

Aggregating daily hot topics from multiple social media sources requires parallel data collection from platforms like Twitter and Hacker News, followed by deduplication and preference filtering to produce ready-to-publish editorial briefs.

Deduplicating and scoring trending topics involves pulling data in parallel from Hacker News and Product Hunt, then applying a scoring system with per-source aggregation and date-aware checks to prioritize the most relevant content ideas.

Yes, generating ready-to-publish content briefs from Twitter and 36Kr involves capturing top topics in parallel, filtering them against user preferences, and formatting the highest-scoring 3-5 topics into an output-ready editorial brief.

Daily topic sourcing applies user preference filtering automatically during the scoring phase to prioritize relevant topics, ensuring the final aggregated briefs align with specific editorial or campaign needs without manual sorting.

Generating topic briefs from the daily topic pool produces 3-5 ready-to-publish options, derived by scoring aggregated data from multiple sources and applying date-aware checks for rapid campaign research.