Find your perfect travel destination based on climate, activities, terrain and budget. Filter thousands of destinations and discover where to go next. It’s built on a dataset of 24,000+ metro cities and over 4 million points of interest. No AI-generated destinations or data. Just structured, real-world data.
I built MyTripNext as a solo side project over ~6 months.
The idea came from a simple frustration: every travel search ends up showing the same “popular” destinations, regardless of what I actually want.
So I flipped the approach, what if you start with your preferences first, and then find matching places?
Under the hood, most of the time went into building and cleaning the dataset:
24,000+ metro cities (from ~130,000 processed)
4M+ places of interest
real climate, geography, population, and cost data
This is not an AI-generated travel recommender. It’s a structured dataset search engine for travel discovery.
I’ll be actively using and improving it.
Would love any feedback
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