Most people book from the five resorts they've heard of. We score over 135 against who you actually are and hand you your top 3.
Tell us what matters
Slide through 15 things that make or break a ski trip, and say how much each one matters to you.
Show us who you are
Pick the things in your shopping basket. Champagne or a multipack of lager? Hiking boots or noise-cancelling headphones? What you choose says more about your ideal resort than you'd think.
Meet your matches
We score every resort for you (and your family/friends) across distance, terrain, and vibe, then hand you your top 3 with the why.
135 resorts across 5 continents
Click any resort to explore its full profile: terrain, vibe, season, and booking links.
From the blog
Ski smarter
Ski holiday planning
Did You Spend More Time Picking Your Last Netflix Show Than Your Last Ski Holiday Destination?
It shows.
Most ski holiday research is guesswork dressed up as research: a listicle, mate Dave, and 847 TripAdvisor reviews written by people whose idea of a perfect ski day is nothing like yours. Here's why that keeps going wrong, and what to do instead.
Read more →Why Skilicious?
ChatGPT can't do this.
Large language models summarise what people already say about popular resorts, which mostly means reviews. But reviews reflect how well a place met the reviewer'sexpectations, which you know nothing about. A glowing five-star from someone who wanted a party resort tells you nothing about whether you'll love it. That's different from knowing which resort actually fits you.
Projective personality, not self-report
We read your vibe from what you buy, not what you say about yourself. People inflate 'adventurous' when asked directly. They don't lie about what's in their shopping basket.
Quantified across 135 resorts
Every resort has a calibrated personality vector across 8 axes. A language model holds general impressions. We hold a structured database and can rank over 135 precisely.
Rewards what makes each resort unique
All ski resorts are sporty. So we score resorts against the field, not in isolation, surfacing what makes Telluride different from Breckenridge, not just that both have snow.
Fully deterministic
Run the same search twice and you get the same answer, not a different one based on which paragraph the model generated first. Consistent, auditable, explainable.
Picks cancel, not just add up
Some basket choices signal what you want. Others quietly signal what you don't, and when they pull in opposite directions, they cancel. Your whole basket combination says something more precise than any single item alone.
Sub-second scoring
The matching engine scores over 135 resorts in under 100ms. AI narrative is added after the ranking is already decided, so the maths is never slow and never wrong-directional.

