Many viewers enjoy making predictions while watching movies and TV shows—guessing plot twists, character fates, or endings—as a way to make viewing more interactive and engaging. However, there currently isn't a dedicated platform that allows users to track and share these predictions in real time. Most existing apps focus on logging what users watch or writing reviews, leaving this niche for engaged viewers unfilled.

How It Could Work

One approach could be a mobile app where users log predictions while watching content. They could:

• Select the title of the show or movie they're watching
• Make predictions (e.g., "The detective is the criminal") and tag them by type
• Get feedback on accuracy after finishing the content
• Share results with friends or a community

Advanced features might include scoring systems based on prediction accuracy, leaderboards, or even integrations with streaming services to automatically detect what the user is watching. AI could also analyze common prediction trends across users.

Why It Could Be Valuable

This could appeal to several groups:

• Engaged viewers who enjoy analyzing and predicting plot developments
• Social watchers who like comparing guesses with friends
• Content creators who might benefit from seeing audience expectations in aggregate

Revenue opportunities could include ads, premium memberships, or partnerships with streaming platforms. Unlike existing watch-tracking apps, this would focus specifically on prediction as a form of engagement.

Potential Next Steps

A simple starting point could be an MVP with just manual prediction logging and basic tracking. Testing with a small group of avid viewers could validate whether the idea enhances the viewing experience as intended. If successful, features like automated content detection and social leaderboards could be added to increase engagement.