Create a personal knowledge management application that helps users decide which ideas, notes, bookmarks, articles, and unfinished projects deserve their limited attention.
Instead of organizing everything into folders, treat every saved item as a candidate competing for the user's time. Let users assign potential value, relevance to current goals, freshness, effort required, and confidence in usefulness. Build an explainable prioritization engine that shows which items are worth revisiting, combining, archiving, or deleting.
Detect duplicate ideas, notes that contradict one another, and old information that may no longer be reliable. Introduce a weekly review auction where users allocate a limited number of attention credits across their knowledge collection.
Include searchable visual maps, bulk import/export, adjustable scoring rules, and a history of decisions. Make the system useful even without AI API access by providing deterministic baseline logic and optional AI enhancements.
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