
Firebase
Supabase
Android Studio
AppWrite
Back4App
Xcode
Socket.io
Vercel
Taste
Letterboxd
TasteDive
IMDb
Trakt.tv
Criticker
MovieLens
Simkl
FirebaseBased on our record, Firebase seems to be a lot more popular than Taste. While we know about 286 links to Firebase, we've tracked only 4 mentions of Taste. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Back in 2019, Google Firebase was becoming very popular. I was especially interested in the real-time capabilities โ they had just launched Firestore and I wanted to give it a try. I thought it would be fun to build a small tool for my team so we could do proper estimations. - Source: dev.to / 3 months ago
Then you log into Firebase and see it: The dreaded red box. Your APNs certificates have expired. - Source: dev.to / 3 months ago
Persistence: Firebase for seamless Google Authentication and session management. - Source: dev.to / 4 months ago
Firebase: Create a Realtime database, LINE Bot can remember your previous conversations, and even answer many interesting questions. - Source: dev.to / over 2 years ago
Firebase/GCP account (for telemetry and deployment). - Source: dev.to / 8 months ago
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: about 4 years ago
On a social website (taste.io) I read a comment complaining about โbi- and homophobia sprinkled throughout [Elementary]โ. The site doesnโt allow to react to comments so I couldnโt ask the person, but their comment got me thinking and I would like to hear peopleโs opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 4 years ago
It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 5 years ago
I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 5 years ago
Supabase - An open source Firebase alternative
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
Android Studio - Android development environment based on IntelliJ IDEA
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
IMDb - Internet Movie Database