Lanyrd · 重建方案

EventGenius would leverage AI to provide highly personalized event recommendations and networking opportunities based on user interests, past event attendance, and professional goals. The platform would integrate with existing social networks and professional profiles to enhance user experience and engagement, using machine learning algorithms to predict and suggest relevant events and potential networking connections.

Today, the event discovery industry is dominated by comprehensive platforms like Eventbrite and specialist services integrated into social networks such as LinkedIn Events. These platforms leverage extensive user bases and data analytics to offer personalized event recommendations and networking opportunities. An AI-native rebuild focusing on hyper-personalization, leveraging AI for tailored event suggestions, and enhanced networking features could be viable. However, any new entrant would need to offer distinct advantages over established players, possibly through innovative use of AI and machine learning for predictive networking and event discovery.

1. Step 1: AI-first prototype blueprint using OpenAI for personalized event recommendations.

2. Step 2: Distribution/Validation strategy through partnerships with industry influencers and social media integration.

3. Step 3: Growth loop leveraging network effects and user-generated content.

4. Step 4: Moat strategy focusing on integrating advanced AI features for predictive networking and event discovery.

• OpenAI
• Vercel
• Supabase

Revenue streams would include a freemium model with premium features for enhanced networking, event analytics for organizers, and targeted advertising. Pricing strategy would focus on affordable monthly subscriptions for premium users and competitive rates for event organizers seeking advanced analytics.