SafarGlimpse: AI That Plans Real Trips

Hello Product Hunt, I’m Mahendra, the maker behind Safar Glimpse. The idea started with a failed AI itinerary. Last year, I asked a popular chatbot to plan a day in Rome. It looked great on paper, but on the ground it was a disaster—zig-zagging across the city and squeezing landmarks that were hours apart into a single afternoon. The core problem became obvious: most AI travel tools treat travel as a language problem. In reality, travel is a logistics and spatial problem. LLMs are excellent at descriptions, but weak at distance, geography, and real-world travel flow. We initially tried solving this with better prompts, but that didn’t stop unrealistic plans. So we pivoted and built a hybrid system instead: Graph-based traversal to cluster places the way a local would, based on proximity and logical flow. RAG grounding to anchor AI output in structured, real-world data so it doesn’t invent places or ignore constraints. The result is itineraries that don’t just read well—they actually work when you’re on the street. We’re early, and there’s still a lot to improve. I’d love feedback from travelers and builders alike, especially around clustering logic, realism, and the overall experience.