AI-powered city discovery built on taste, not reviews
You land in a new city. You open every app you know. Two hours later you're still scrolling, still unsure, still guessing. TravelMind was built for that moment. Swipe through places, tell us what you love — the AI does the rest. It learns your taste and finds the right spot before you even know to look. Your taste. Every city. Live now on iOS and Android.
I built TravelMind because I kept running into the same problem in every city: endless scrolling, biased reviews, influencer noise — and still not knowing where I’d actually enjoy going.
After years in hospitality, I realized discovery was broken not because of lack of options, but because platforms ignore personal taste. Everyone sees the same rankings, even though we all experience places differently.
TravelMind started as a simple question: what if discovery worked like human intuition? We experimented, scrapped ideas, and eventually landed on swipe-based learning — letting behavior train recommendations instead of ratings.
What began as a travel tool has evolved into something bigger: turning offline, word-of-mouth discovery into a personal, data-driven experience.
Would love to hear — how do you usually find places you actually like when you’re in a new city?
About TravelMind on Product Hunt
“AI-powered city discovery built on taste, not reviews”
TravelMind launched on Product Hunt on June 9th, 2026 and earned 130 upvotes and 16 comments, placing #11 on the daily leaderboard. You land in a new city. You open every app you know. Two hours later you're still scrolling, still unsure, still guessing. TravelMind was built for that moment. Swipe through places, tell us what you love — the AI does the rest. It learns your taste and finds the right spot before you even know to look. Your taste. Every city. Live now on iOS and Android.
On the analytics side, TravelMind competes within SaaS, Travel and Artificial Intelligence — topics that collectively have 555.7k followers on Product Hunt. The dashboard above tracks how TravelMind performed against the three products that launched closest to it on the same day.
Who hunted TravelMind ?
TravelMind was hunted by Anastasia Chavdia. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of TravelMind including community comment highlights and product details, visit the product overview.
Anastasia Chavdia