Content Topic Predictor

Noah discusses creating software to automate and optimize content topic prediction, specifically for content creators and marketers who currently spend significant manual effort researching what content to create.

Key Points:

• Current Problem:

  • Content teams spend ~10 hours/week manually figuring out which topics to create
  • Process is inefficient and time-consuming
  • No automated way to predict content performance

• Proposed Solution:

  • Software that predicts which topics will be popular
  • Automates the manual research process
  • Helps content creators optimize topic selection

• Target Market:

  • Content creators
  • Marketing teams
  • YouTube creators
  • Anyone regularly producing content

• Similar Concept Also Applied to Product Discovery:

  • AppSumo currently has 4 full-time people manually:
    • Searching across Product Hunt, Google, Twitter, beta lists
    • Testing software products
    • Evaluating which products are worthy of promotion
  • This manual process could be automated into a software solution

• Key Value Proposition:

  • Automate manual processes
  • Save significant time in content planning
  • More data-driven topic selection
  • Better prediction of content performance