SafarGlimpse: AI That Plans Real Trips

Realistic AI itineraries via Graph + RAG technology.

19 followers

Realistic AI itineraries via Graph + RAG technology.

19 followers

Safar Glimpse shifts from generic AI prompts to a hybrid Graph + RAG engine. Most travel AI tools generate itineraries that ignore real travel flow; we use distance-aware clustering and real-world constraints so plans are actually walkable. By grounding LLMs in structured place data and graph relationships, we reduce hallucinations and produce itineraries that feel local, practical, and thoughtfully designed.

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SafarGlimpse: AI That Plans Real Trips gallery image

Launch tags:Travel•Artificial Intelligence•Tech

Launch Team / Built With

memories.sh — One layer for memories, skills, and rules across any agent

One layer for memories, skills, and rules across any agent

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Maker

📌

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.

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1mo ago

Love to learn more about the product, and think a bit more of personalization would help here, like whether the user likes culture or nature

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23d ago

Maker

@david_chen37 You've made a great point—personalization is definitely high on my priority list. I'd be happy to share more details if you have any specific questions or suggestions

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22d ago

Love the focus on real travel constraints. The Graph + RAG approach clearly shows these itineraries feel practical, walkable, and grounded, not just nice-sounding plans. Big step up from generic AI travel tools. Great work, excited to see how this evolves.

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23d ago

Maker

@hashirkamal Thank you so much for your support—it means a lot! Please let me know if you have any feedback or suggestions; I'd be happy to incorporate them.

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22d ago

Great work showing itinerary map and recommendations with pro tip. It helps when visiting spiritual or historical places and people are not familiar about cultural or practices followed there.

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22d ago

Maker

@karan_thakur9 As you rightly pointed out, that was the intent of this feature :)

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21d ago