TravelRank

Find destinations that match your travel profile with AI

4 followers

Find destinations that match your travel profile with AI

4 followers

TravelRank helps a frequent traveler to find perfectly matching destinations with the AI-powered recommendation system in 10 seconds and zero googling. Import your travel history, get matching places, track your travels, get travel rank.

Launch tags:Travel•Artificial Intelligence

Launch Team

LightfieldAI-native CRM that builds itself and does work for you

Promoted

QRay app

Sounds interesting, but will it replace manual search? I, as an avid traveler, am unlikely to trust automatic selection, I need to compare everything manually. I wonder how accurate the predictions will be?

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6yr ago

TravelRank

Maker

@nataliyavlasova I don't think any AI will replace manual ops or human sepervision completely any time soon. However it could greatly save the time on manual cumbersome operations, like category filtering or grouping the results, augmenting human in their research. At least we could aim for that, improving the quality and precision of recommendation with more data and user input.

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6yr ago

TravelRank

Maker

@nataliyavlasova Another aspect, traveling is expensive. The technology should prove its capabilities first before the majority could shift the user habits and trust the AI to find perfectly matching destination. What do you think?

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6yr ago

TravelRank

Maker

Hi, Product Hunters 👋 and thanks a lot @__tosh for the hunt and the last-minute product feedback! Alex is here along with my buddy and TravelRank co-founder @new_user_2805814e5b. In this totally odd time for launching travel-tech products, we’re asking for PH community feedback on TravelRank, the travel destination recommender powered by AI and neural network. Why we built this? We started working on this in a pre-COVID era, just about a year ago. I was looking and didn’t manage to find any tool, that had everything which I needed: - Combined travel history and stats (with the scratch-map look and feel) - Destinations (ideally pre-filtered, based on my travel history and preferences) - Single-best flight date, price and carrier suggestion (for the pre-selected destinations) - Social features (ranks, trending places, places visited by my friends, etc). So I decided to build one for myself and like-minded travel enthusiasts. We went on the mission to replace all the travel research heavy-lifting with just a few clicks via the AI and automation. So travelers like me can do less planning and enjoy more traveling. Our value proposition and key difference. We aim to: - Replace manual search and filters with accurate predictions - Offer unique and personalized travel recommendations - Save the time and nerves How we built this (and where the data are coming from). The product is built on MERN stack, AWS ML services (for matching and recommendations), AWS ElastiCache (for Ranks). We use Foursquare API to import the user checkins. The ML model was trained on an anonymized checkins dataset obtained from Foursquare. It contains 33M of checkins, created by 227K users in 415 most popular cities worldwide. On top of that, we calculate the matching score not only by interaction data from these 415 cites in our predictions (similar travel behavior), but also by meta-data similarity from a much larger city dataset (50K+, similar place), provided by 3rd party content API (based on Wikivoyage, Wikipedia, OSM city profile). Each of these 50K+ destinations is mapped to the closest airport in the 200km range dataset (0.5M of entries), so we could simultaneously offer the best flight price for each of our recommendations. Which is handy for the price comparison. Give us feedback While we didn’t manage to build everything that we wanted at once (social features, etc), done is better than perfect… We need some validation before we could continue, that’s why we can’t hold it until the pandemic ends. So give it a try, add your travel history, check if personalized travel recommendations hold value for you along with your travel stats and rank, and let us know, what was your impression. What features were useful and why? What features are missing and why you need it? We hope that you can put TravelRank recommendations into practice after travel safety improves. Meanwhile, we encourage you to be safe and avoid traveling. Stay healthy! Cheers, Alex & Ruslan! Animated icons by Icons8

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6yr ago

Great Product and Team! I really like the social features: trending places and places visited by my friends, TravelRank allows me to make a decision properly instead of asking and bothering my close friends :) It takes a great deal of courage to build a travel product during COVID-19, You are changing history and creating the future! Keep going on! 👍✌

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6yr ago

TravelRank

Maker

@vadimd Thanks, mate! I hope travel will kick back anytime soon and we'll be there, ready for travelers.

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6yr ago

Wow! Congrats on launch 🚀 ! I was involved in customer journey interviews, looking forward to use it in live!

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6yr ago

TravelRank

Maker

@lina_shishkina thanks, Lina. Grateful for your help. Hope you find it useful!

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6yr ago

Amazing job guys! That's a totally fun app - should inspire even the non-travelers to get themselves moving!

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6yr ago

TravelRank

Maker

@stas_sydorov Thanks, mate. You helped us a lot with the early days testing :)

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6yr ago

I participated in beta-testing of TravelRank couple of times. And I must say that each time I used it I liked it more and more. It's very convenient tool with clear design and unique functionality. The algorithm works really well! I filled in all the travel history and got the recommendations of the places I was considering to visit. Now I am even more sure that I need to go there one day. Great features with Raitings - give you a nice sense of healthy competition with other travelers. And of course all the history with statistics in one place may evoke good memories of all the places you visited and people with whom you did it. I will definitely use this app in future.

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6yr ago

TravelRank

Maker

@volodymyr_starchenko Thanks, Vova! I'm really grateful for your input in TravelRank evolution and overall direction. You made big impact on TR and its journey :)

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6yr ago