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AI city discovery
TravelMind is an AI-powered mobile application designed for travelers and locals who want to discover places that genuinely match their personal preferences. It moves beyond traditional review-based or ad-driven discovery by building a unique taste profile for each user based on their actual behavior within the app.
Traditional discovery platforms like Google Maps surface sponsored and paid-for venues, while review sites like TripAdvisor show what strangers have rated, not what an individual user would personally love. This creates a problem where every app shows the same places, lacking personalization and forcing users to sift through irrelevant noise to find spots that fit their unique taste.
A core feature is the swipe-to-train interface, where users browse venue cards like a playlist, hearting what fits and skipping what doesn't. Every choice teaches TravelMind something new about the user's preferences, providing behavioral signals far more valuable than star ratings or search history. This data feeds the app's proprietary Taste Graph, which maps user preferences to create a dynamic and accurate personal profile.
Users can save their favorite places—cafés, rooftops, galleries—to a personal, living map. This map is theirs to keep, revisit, and share, creating a curated collection of loved venues. Furthermore, the app enables social discovery by allowing users to follow friends and see the spots they've saved, facilitating discovery through people whose taste they actually trust.
The app delivers personalized picks wherever a user goes. By leveraging the learned taste profile, TravelMind can suggest the right spot at the right moment without the user needing to search. Arriving in a new city becomes seamless, as the app already knows what the user will love based on their established preferences.
TravelMind works by continuously learning from user interactions. The process begins with swiping, where every heart or skip is a data point. These signals are processed by the Taste Graph to build and refine a user's unique taste profile. Finally, the AI recommendation engine uses this profile to match users with relevant venues in real-time, delivering discovery that feels intuitive and personal.
The primary benefit is highly personalized, relevant discovery that saves time and eliminates frustration. Users no longer need to scroll through generic lists or decipher irrelevant reviews. They receive matches that feel curated for them, leading to more enjoyable experiences at venues they are predisposed to love. For venue partners, it offers fair, relevance-based visibility to high-intent users.
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Key use cases include a traveler arriving in a new city and opening the app to immediately see personalized venue recommendations without searching. A local user can consistently discover new favorite spots in their own city that align with their evolving tastes. Friends planning a meet-up can easily share and explore each other's saved places. A venue owner can connect with genuinely interested customers without competing in an ad auction.
The target users are travelers and locals seeking authentic, personalized city discovery. It integrates with mobile platforms (iOS & Android) and is initially available in Zurich. For businesses, it offers a partner program at $35/month, providing matched discovery, real analytics on saves and visits, and a model where visibility is earned through relevance, not ad budget. The tech stack involves a recommendation engine, venue data pipeline, and AI infrastructure.
In summary, TravelMind reimagines city discovery by prioritizing individual taste over crowdsourced reviews or advertising, creating a more authentic and personally rewarding way to explore any city.
TravelMind is built for travelers and locals who value authentic, personalized experiences over generic, review-driven recommendations. The primary users are individuals who feel frustrated by traditional discovery apps that show the same popular or advertised places. They are likely frequent travelers, city explorers, food and culture enthusiasts, and people who trust their own taste or the taste of close friends over the opinions of strangers. The app also serves local venue partners—cafés, restaurants, galleries—seeking fair visibility to a high-intent audience without competing in ad auctions.