I've tried AI travel planners.
They're really good at one thing:
giving you places to visit.
But that's not really planning a trip.
A trip isn't:
Paris → Eiffel Tower → Louvre → Versailles → Montmartre
It's:
What fits my budget, my interests, my time, and actually makes sense geographically?
That's where things get interesting.
A good travel planner should understand:
💰 Budget — What can I realistically afford?
🎯 Personalization — What do I actually enjoy?
🧭 Route efficiency — Which places should I visit together instead of crossing the city five times?
⏰ Time — How much can I realistically do in a day?
📍 Context — What else is worth seeing around the places I'm already visiting?
And most importantly:
It shouldn't just tell me what to visit. It should tell me how to experience the destination.
That's the idea behind VybeGo.
We're building an AI travel planner that tries to turn recommendations into an actual, practical trip:
Your preferences + budget + duration + destinations + interests
→ personalized places
→ smarter grouping
→ route-aware planning
→ day-by-day itinerary
→ and eventually hotels, flights & experiences around that itinerary.
Because I don't think the future of AI travel is:
"Here are 30 places you might like."
I think it's:
"Here's your trip. Let's make it actually work."
Would love to know: What's the one thing current AI travel planners get wrong for you?
The "illusion of feasibility."
Current tools give you a checklist, not a strategy. They don't account for opening hours, weather, jet lag, or actual travel time between spots—they just dump high-rated places into a time grid.
Making an itinerary logistically viable while maintaining a vibe is where the magic is. Really solid premise for VybeGo—focusing on route efficiency and real context is the exact fix this space needs.
Check out my new post !!
This comment was deleted a day ago