1.Monitors new category articles
Integrate Feedly and curation tools to detect new category articles and trigger downstream relevance review.
Create reading queue items from new feed articles
Automatically monitor new articles in Feedly categories across Feedly and Notion. Create and update prioritized read-later items when long-form articles arrive, relevance is confirmed, or duplicates are detectedβso you can enrich tags, format dates, and populate a reading queue without manual data entry.
How this automation prioritizes your reading queue
When new feed articles in a category appear, manual triage delays strategy reading. This automation calculates word depth and evaluates GTM relevance and tags, then formats publish dates and creates Notion queue itemsβso your team can stay ready to read.
Feedlyor swap with your favorite app
2.Calculates article word count
Integrate Formatter by Zapier and content processing tools to map article content and calculate word count for depth.
Formatter by Zapieror swap with your favorite app
3.Filters by word count threshold
Integrate Filter by Zapier and validation tools to allow only qualifying long-form articles and exclude short posts.
Filter by Zapieror swap with your favorite app
4.Evaluates GTM relevance and tags
Integrate AI by Zapier and topic tagging tools to request a Yes or No relevance decision and extract topic tags.
AI by Zapieror swap with your favorite app
5.Formats publish date for Notion
Integrate Formatter by Zapier and date formatting tools to map the publish date and format it for database compatibility.
6.Creates a prioritized queue item
Integrate Notion and productivity databases to create a reading record with tags, date, and a To Read status.
Notionor swap with your favorite app
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Create reading list entries from new feed items
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Organize your reading workflow with automated article capture, priority tagging, and summary tracking
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