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?
Monday me and Saturday me are different people. Does the app know the difference? Congrats on the launch!
The taste-over-reviews bet looks to be the right call. I am thinking...as swipe learning needs density, what happens the first time I open it in a city nobody like me has swiped yet? Does my taste graph travel with me?
two hours later you're still scrolling, still unsure, still guessing" is so accurate it hurts. learning from swipes instead of relying on reviews makes way more sense because my taste in restaurants has zero overlap with the average google reviewer. curious how many swipes it takes before the recommendations actually start feeling personal
This really resonates with me. When I land in a new city, it's honesty hard to explore everything by myself. But when I search online, there's so much influencer promotion and sponsored content that it can be hard to tell what's overhyped and what's actually a hidden gem.
What countries or regions does TravelMind currently cover? Is the global discovery experience available worldwide, or focused on certain cities for now?
Congrats on the launch! 🎉
I can definitely relate to the problem. Even with so many review sites and travel apps, it can still be surprisingly hard to find places that actually match your personal taste.
I like the idea of learning from user behavior rather than relying only on ratings. The swipe-based approach sounds simple and intuitive.
When I visit a new city, I usually end up combining recommendations from friends, instagram/tiktok posts, and lots of searching, so having something that learns my preferences could be really useful.
Congrats on the launch, Anastasia and TravelMind team!
I may be a bit biased here but I do have some insight on people discovering new places. I run my city's biggest travel Instagram page (@experience.sofia on Instagram, we talk about Sofia, Bulgaria). What I find is our best-performing content is often either "hidden gems" or "how to avoid getting scammed/overspending/some other problem". A huge part of our edge and credibility on social media is we are locals and we can bring you to those lesser-known places, some of which barely even have a Google Maps listing. Imo, this is what a lot of people are looking for in the era of overtourism - not to go to the same 2-3 overhyped places everyone else visits.
So, I was wondering how did you source the initial listings on TravelMind? Do you also have the option for users to add their own (as you can on Google Maps)?
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.
TravelMind was featured in SaaS (42.5k followers), Travel (42.3k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 157.4k products, making this a competitive space to launch in.
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.
Want to see how TravelMind stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Anastasia Chavdia