Hot Potato · 重建方案

An AI-first platform focused on personalized event experiences. EventPulse AI would use machine learning to tailor event feeds based on user preferences and social circles, enhancing the relevance of shared content. This approach would leverage AI to predict and suggest events, optimizing user engagement.

Today, the industry is dominated by platforms like Twitter and Instagram, which have embedded real-time event sharing as part of their broader social media offerings. The potential for an AI-native rebuild exists, particularly in creating personalized event experiences and leveraging AI for predictive social engagement. However, the challenge remains in differentiating from giants with massive user bases.

1. Develop an AI-first prototype leveraging OpenAI for personalized content curation.

2. Implement a distribution strategy through partnerships with event organizers and influencers.

3. Create a growth loop by incentivizing user-generated content sharing.

4. Build a moat with proprietary user engagement algorithms and exclusive event partnerships.

• OpenAI
• Firebase
• Vercel

Revenue streams would include premium subscriptions for enhanced personalization features, partnerships with event organizers for promoted events, and targeted advertising leveraging detailed user engagement data. Pricing strategy would focus on subscription tiers, providing basic free access with paywalled premium features.