Social Trust Reviews

Paul proposes creating a new review platform called "deets" that fixes the broken online review system by leveraging friend networks, influencers, and machine learning for personalized recommendations.

Key Points:

• Problem Being Solved:

  • Current online reviews are broken with widespread fake reviews
  • Amazon has 37,000 pages teaching how to buy fake reviews
  • Reviews often come from people users don't relate to or trust
  • Existing platforms like Yelp are viewed as outdated and problematic

• Core Solution:

  • Only show recommendations from:
    • Your friends
    • Influencers you choose to follow
    • Machine learning-identified similar users
  • Use TikTok-style algorithms to find and suggest reviewers with similar tastes
  • No questions asked to users - learn preferences through behavior

• Differentiation:

  • Focus on trusted networks vs anonymous reviews
  • Modern approach using machine learning vs 20-year-old platforms
  • Particularly appeals to Gen Z who rely heavily on influencer recommendations
  • Clean, focused UI vs scrolling through social media to find old recommendations

• Target Market:

  • Initial focus on restaurant reviews
  • Expansion potential to other review categories
  • Particularly appeals to younger generations who trust influencer recommendations

The platform aims to be "the next 20 years" of reviews vs the "last 20 years" represented by existing platforms like Yelp.