Bigfoot utilizes generative AI and user behavior analysis to curate personalized recommendations for local experiences, including events, dining, and outdoor activities. This platform addresses the challenge of discovering relevant and engaging activities in urban environments, transforming the planning process into an enjoyable exploration.
Funding
Funding not disclosed
Founders
Product
Problem
Discovering relevant and engaging local experiences, such as events, dining, and outdoor activities, in urban environments can be time-consuming and overwhelming. Existing platforms often lack personalization, making it difficult for users to find activities that align with their specific interests and preferences.
Solution
Bigfoot is a platform that leverages generative AI and user behavior analysis to provide personalized recommendations for local experiences. By analyzing user preferences and activity patterns, Bigfoot curates a tailored selection of events, restaurants, nightlife, outdoor activities, and attractions. The platform aims to simplify the discovery process, transforming it into an enjoyable exploration of a user's city. Bigfoot helps users uncover new adventures and make the most of their urban environment by suggesting experiences that match their unique tastes.
Target Audience
Bigfoot targets urban dwellers and tourists seeking curated recommendations for local experiences, aiming to simplify the process of discovering engaging activities in their city.
Features
- AI-powered personalization using generative AI models from ANTHROP\\C & OpenAI
- User behavior analysis to refine recommendations over time
- Categorized browsing for discovering experiences by type (e.g., live music, restaurants, nightlife)
- Personalized collections for saving and organizing preferred experiences
- Location-based discovery to find activities near the user