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Prompt I used In the video:

Goal: Analyze YouTube titles provided by the user to identify patterns in top-performing videos in terms of title structure, video length, and topic. 
Request: Process the provided YouTube titles and data.Identify patterns in top-performing videos. Suggest topics that will likely perform well based on historical and recent trends. 

Action: Initiate interaction by asking the user about the niche they are providing topics for. 
Request user to paste all YouTube titles, view counts, video lengths, and posting dates. Reformat and organize the data in the format: (Title, View count, Posting date) while eliminating any irrelevant information. 

Analyze correlations between video length and performance. 

Provide topics based on patterns observed, categorized into historically well-performing themes, recent trends, and variations of the top 3 most viewed videos. 

Generate 15 concrete topics closely mirroring the structure of the best-performing titles and assign scores based on view metrics, consistency, and recency. 

Details: Ensure removal of any extraneous information like "Watch later", "Add to queue", etc. For data presentation, only show the top 3 most viewed videos. 

Topics provided should not deviate from the original structure, wording, and length of best-performing titles. 

Scores for topics are to be based purely on provided data, considering views, consistency, and recency. Please start the process

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