task-search

Task search queries simultaneously match against titles, descriptions, and tags using case-insensitive matching. Multi-token AND queries require all terms to appear somewhere in the task for it to rank in results, enabling precise filtering across large datasets.

Debouncing delays query execution until the user pauses typing, reducing redundant searches and ranking calculations. This keeps the interface responsive while searching efficiently across thousands of tasks without lag.

Yes. Matched terms are highlighted within task titles, descriptions, and tags in search results, allowing quick visual scanning to confirm relevance before opening the full task details.

Search results are capped at the top 50 ranked tasks to maintain performance. Relevance-based ranking prioritizes exact title matches first, then partial title matches, then description or tag matches, ensuring the most relevant tasks appear at the top.

Search supports both partial and exact matching. Case-insensitive queries match partial words within titles, descriptions, and tags, so searching 'task' finds 'tasklist' and 'multitask' alongside exact matches.

Ranking uses a relevance hierarchy: exact title matches rank highest, followed by partial title matches, then matches in descriptions or tags. This ordering surfaces the most contextually relevant tasks first within the top 50 results.