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docs: Remove Telegram mentions, universalize documentation, remove duplicates and cleanup
docs: Add Scaling and Cost Design page New page explaining how PATAS handles large-scale processing: - Chunked processing - Two-stage pipeline - Fast clustering (DBSCAN) - Batching & caching - Aggressiveness profiles - Simple mode fallback - Cost comparisons Tested on 20K real Telegram messages. Shows 50-80% API cost reduction. Also updated Home.md: - Added link to new Scaling page - Fixed repository link (PATAS-core → PATAS)