The description in the App Store says swipe for your nest meal
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I like that you don’t require me to sign up and give you all my private data. Big thumbs up!
It’s a fun vibe coding experiment but you aren’t solving anything that a user wants. I’ve tried some food aggregators in the past and this is doing nothing that is better than Google Maps.
I can just search for fast food near me and see all the options and reviews and photos. You just show me the name of a restaurant and a street view picture of the place. Why would I make a food decision based on that limited data? That’s now consuming food works.
Hope I’m wrong but this is an idea that solves no existing issue for anyone.
First of all, thanks a ton for the feedback! I see I probably need to make some improvements to the app, asap, like a simple tutorial.
If you want more images of a place when in swipe mode, you can tap the right side of the card. You can also tap the distance thingy in the top right corner to view it in Google Maps. And if you tap the heart/cross, you see the next place(s). When having made some selections, you end up with a list. Hopefully that makes the decision process easier for some - At least it does it for my part.
When knowing both of these things, for me, having used the app myself, I have found some amazing places to eat using it. But I see that it doesn´t provide value for all. You´re partially right about the vibe coding as well. Coded everything by hand a year ago, but finished it using AI, for sure. :D
Anyway, this probably isn´t for everybody, I think, but for people used to this pattern (tapping the card to see more pictures), I hope it brings more value than a picture of the outside of a place.
Really appreciate the feedback though, again thanks a ton. Will make some improvements based on this for sure.
Simple and fun idea! The swipe-based interface is a great way to make restaurant discovery more engaging. It reminds me of how Tinder revolutionized dating apps - sometimes the best solutions are the simplest ones. Would be cool to see integration with reviews or dietary filters down the line!
Thanks! Totally agree with you here. We actually made the POC of this product in two days a year ago. And while finishing it enough to be able to launch (which as usual took way too long), we´ve been using it within so many different cities we have travelled to. It really makes it easy to spot which places that are interesting to visit, and images really speak so much louder than anything.
Future improvements might indeed be to further improve the listings with extended informations such as user reviews and dietary filters. Also thinking about ways to raffine the search results by utilizing AI for things like providing a summary over the results you are left with after some swiping. Perhaps also some agent option(s) to easier be able do stuff like booking a table - Who knows. But first of all, this was great fun to make, and something I wanted as a travel companion for myself. So hoping other people might enjoy it as well. Again, thanks for you feedback! :-)
The description in the App Store says swipe for your nest meal
Downloaded
I like that you don’t require me to sign up and give you all my private data. Big thumbs up!
It’s a fun vibe coding experiment but you aren’t solving anything that a user wants. I’ve tried some food aggregators in the past and this is doing nothing that is better than Google Maps.
I can just search for fast food near me and see all the options and reviews and photos. You just show me the name of a restaurant and a street view picture of the place. Why would I make a food decision based on that limited data? That’s now consuming food works.
Hope I’m wrong but this is an idea that solves no existing issue for anyone.
First of all, thanks a ton for the feedback! I see I probably need to make some improvements to the app, asap, like a simple tutorial.
If you want more images of a place when in swipe mode, you can tap the right side of the card. You can also tap the distance thingy in the top right corner to view it in Google Maps. And if you tap the heart/cross, you see the next place(s). When having made some selections, you end up with a list. Hopefully that makes the decision process easier for some - At least it does it for my part.
When knowing both of these things, for me, having used the app myself, I have found some amazing places to eat using it. But I see that it doesn´t provide value for all. You´re partially right about the vibe coding as well. Coded everything by hand a year ago, but finished it using AI, for sure. :D
Anyway, this probably isn´t for everybody, I think, but for people used to this pattern (tapping the card to see more pictures), I hope it brings more value than a picture of the outside of a place.
Really appreciate the feedback though, again thanks a ton. Will make some improvements based on this for sure.
Simple and fun idea! The swipe-based interface is a great way to make restaurant discovery more engaging. It reminds me of how Tinder revolutionized dating apps - sometimes the best solutions are the simplest ones. Would be cool to see integration with reviews or dietary filters down the line!
Thanks! Totally agree with you here. We actually made the POC of this product in two days a year ago. And while finishing it enough to be able to launch (which as usual took way too long), we´ve been using it within so many different cities we have travelled to. It really makes it easy to spot which places that are interesting to visit, and images really speak so much louder than anything.
Future improvements might indeed be to further improve the listings with extended informations such as user reviews and dietary filters. Also thinking about ways to raffine the search results by utilizing AI for things like providing a summary over the results you are left with after some swiping. Perhaps also some agent option(s) to easier be able do stuff like booking a table - Who knows. But first of all, this was great fun to make, and something I wanted as a travel companion for myself. So hoping other people might enjoy it as well. Again, thanks for you feedback! :-)