Baryl

Personality-driven itinerary planner

351 followers

Personality-driven itinerary planner

351 followers

Baryl uses AI/ML to algorithmically curate incredible restaurants & hidden gem recommendations matched to your personality & interests. We help you route-optimize, figure out the best times to visit each place, and make the most of your experience.

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Launch tags:Web App•Travel•Tech

Launch Team

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Promoted

Gesso

Congrats on the launch, excited to follow along! Just tried the personality form and loved how simple it was. Good amount of questions without making it feel overwhelming. One thing I'd love is if people could preview the results before paying, especially for new users who don't know what to expect. Maybe you could have a free trial where people get a preview of results sent to them but some information is blurred? I know you mentioned in another comment that a con of using tripadvisor is that it's mainstream. What's your opinion on how this compares to travelers checking out more curated/hyperlocal brands like the infatuation, thrillist, the nudge? Do you think your algorithm would incorporate suggestions based on the latest content being published from sites like this? Good luck with everything!

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4yr ago

Baryl

Maker

@sarah_cher So happy to hear you enjoyed taking our Travel Personality Test! Thank you for your advice - right now, we do have limitations to show results right away since we are using Typeform; however, we realize this issue and are actually shifting away from Typeform later this month so our quiz questions in terms of format & design can be more flexible! As we automate more of our product, we'll gladly generate previews for travelers before payment! I'm also really glad you asked the second question! We do actively incorporate websites with higher quality recommendations like the Infatuation, Thrillist, Eater etc as you mentioned, but we actually go a step further to capture the latest & most trendy content out there. Our recommendations are also sourced from Tik Tok and our own networks of local influencers (as of today, we have secured partnerships with 32 influencers across the country). So, you’re probably not finding this stuff on Tripadvisor nor the more curated brands/websites!

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4yr ago

Gesso

@yuyang_zhang Got it, cool. That's awesome that you already have a bunch of influencers on board!

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4yr ago

Baryl

Maker

@sarah_cher Influencer partnerships & marketing has definitely been one of our big initiatives these past few weeks! I also see that you filled out our Typeform and want to try out Baryl for your upcoming trip - happy to plan your upcoming solo vacation for you!

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4yr ago

Gesso

@yuyang_zhang Just sent you an email!

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4yr ago

As an avid traveler who never likes to plan anything, I love this idea. I'm curious if the places to go/things to do integrate right with the app? For example if you recommend a certain restaurant or hostel could I book a rez right through you? This time saver would be mega! Excited to check it out. Would also be interested in a "traveler's recommend" in addition to the AI, for example, if I went to a park that I think is a true can't-miss, would love for other's in my place to know about it too. Cheers!

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4yr ago

Baryl

Maker

@jacobsimonsays integrations are definitely on the hitlist for us! It's a bit tricky when it comes to no-shows when working with services like OpenTable, but we'll definitely at the very least make it simple for you to access those 3rd party services from the Baryl Studio. And yes! turning it into a social media-type thing for travelers is also an ambition of ours. There's just so many of those already that we chose not to start there! :^) Thanks for the support, Jacob!

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4yr ago

Great idea @alex_pu, @yuyang_zhang, and @ericyan_g! Will the Baryl Studio use reinforcement learning too to refine subsequent itineraries? For example, if it recommends Schmedlaps on my trip to Bogota, but I don't like it, can I provide that feedback to the system to get even more accurate future recommendations?

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4yr ago

Baryl

Maker

@asglenn most definitely! We'll have a way for you to provide feedback on individual recs & the AI will intuitively understand what you enjoyed/didn't on the most recent trip. That way, when you use us the 2nd, 3rd, or 100th time, there's compounded learning :) We'll also rec you things that others with similar personality traits have been enjoying!

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4yr ago

Congrats on the launch guys! Looking forward to using the Baryl Studio for my next trip. Will it work for any country/city?

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4yr ago

Baryl

Maker

@kevin_he4 Thanks for the support, Kevin! The current version, which isn't the fully automated studio, works everywhere. Once we roll out the automated studio, we'll be starting in the US. Gotta make sure algorithm is perfect prior to a new city launch!

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4yr ago

Needl

Looks cool - will definitely have to try it out. Will Baryl book the accommodations/make reservations in the future? Or are you going to focus purely on recommendations & planning?

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4yr ago

Baryl

Maker

@max_keenan1 reservation integrations is definitely something we're looking at moving forward. Goal is to make travel planning as high-quality & seamless as possible, so it's on the agenda!

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4yr ago

Hey Baryl team! Congrats on the launch and to see that this idea is, rightly, so well-received. I am tired of tab clutter, and long nights planning for my weekend trips and this takes so much of the friction out of this core experience. I'd love to know what your coverage is? How far afield are the places that Baryl can plan for at this moment? Are you taking suggestions and previous shareable itineraries from users? I'd love to see a social element to this product as well to share with friends and family. Looking forward to seeing this app continue to build and give people the best possible travel experience! 🚀🚀🚀 Favorite Chicago rec?

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4yr ago

Baryl

Maker

@ben_garrison1 Hey Ben, thanks for the support, and it's indeed very exciting and encouraging to see so many people finding benefit in using Baryl! In response to your questions, Baryl currently covers anywhere in the world right now, since we are in our tech-enabled phase and the back-end research & planning process is semi-manual. We'd be happy to plan your next trip however niche the destination is! We are actively incorporating feedback from early adopters who we planned trips for, which has been incredibly invaluable in developing our backend algorithm and tweaking the customer experience. We also plan on incorporating a social element to our product - as of right now, the final itinerary has a unique shareable weblink you can easily send to friends & family. Going forward, we look to explore ways for travelers to collaborate live on our platform. Lastly, I would personally recommend Cafe Ba-Ba-Reeba in Lincoln Park (my personal favorite restaurant in Chicago), which is pretty popular and definitely deserves the hype! A few more recs while we are at it - if you like sweets, check out Cloud Cookie, and if you are looking for a fun & relaxing experience, spend half a day at PIVA Beer Spa!

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4yr ago

Slackmin

Personality based itinerary seems like a very huge pro for travelers, but does it work for any destination? Also, what does it recommend if it doesn't find anything according to my personality? Example - I am a party person, but the destination I am going to has no pubs/clubs.

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4yr ago

Baryl

Maker

@auttomatta Hi Prashant, thanks for your support and great questions! As of right now, Baryl covers anywhere in the world since we are in our tech-enabled phase which means the trip research & planning process is semi-manual. Once we launch our Baryl Studio (fully automated), we will start off the first few months with major cities in the US and than expand to other cities, countries, and soon the less common hot spot destinations around the world! On the backend, we are building an intelligent system that leverages collaborative filtering to make similar recommendations for similar travelers—which means other than just basing recommendations off of your singular travel preferences, we are able to make sense of you holistically as a traveler by taking account of other travelers' data who indicated similar preferences as you. At scale, this becomes an extremely powerful tool that significantly increases our match rate recommending well-liked experiences tailored to what they want. For your example, you may be a party person who loves rooftop bars and clubs, and big data may reveal to use that "party travelers" tend to also enjoy brewery tours and late-night street food scenes - hence, we would deliver these non-pub/club recommendations as well!

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4yr ago

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