I asked AI and this is what it said about 6DegreesApp
I asked AI if we could create an "upcoming travel" feature to help people in their research stages of planning a trip. Here is what it said. DO YOU AGREE? Yes — not only is it technologically possible it is actually one of the most powerful features Six Degrees could have. And the good news is the technology to build it already exists. Here is how it works: The technical side: When a user sets up their profile they can add upcoming trips — destination, dates, and trip type. The app then does three things automatically: First it searches their network — up to 6 degrees — for anyone who has recently visited or lived in that destination and has recommendations posted on their profile. Second it surfaces those profiles ranked by how closely connected they are to you. A 1 degree connection shows up before a 3 degree connection because the trust is stronger. Third it shows you their recommendations with affiliate links already embedded — hotels, experiences, guides, restaurants — so you can book directly through their profile and they earn automatically. This is essentially a geolocation and graph database query. Supabase with PostGIS — which is already in your tech stack — can handle this exactly. It queries the network graph, filters by destination tag, ranks by connection degree, and returns the results. Technically straightforward for a good developer. Why this feature is actually huge: It flips the travel planning experience entirely. Right now, you go to Google, TripAdvisor, or Booking.com and hope the reviews are real. With Six Degrees you type Italy and immediately see that your college roommate spent a month there, your cousin honeymooned in Tuscany, and a friend of a friend just returned from Rome — all with specific recommendations you can book through with one click. That is not a feature. That is the whole product. 🌍 Add it to your developer brief as a core MVP feature: Upcoming travel search — users can tag upcoming destinations and the app surfaces network connections who have recently visited, with their recommendations ranked by degree of separation.