Taste
Letterboxd
TasteDive
IMDb
Trakt.tv
Criticker
Simkl
MovieLens
GitPrime
Waydev
LinearB
Haystack Analytics
CodeClimate
Swarmia
OKAY HQ
SonarQube
GitPrime is recommended for engineering managers, team leads, and project managers who are looking for data-driven insights to understand and enhance the productivity of their software development teams. It's particularly useful for medium to large teams where it's critical to evaluate performance metrics objectively and address inefficiencies proactively.
Based on our record, Taste seems to be more popular. It has been mentiond 4 times since March 2021. 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.
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
Letterboxd - Letterboxd is a social site for sharing your taste in film, now in public beta.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
IMDb - Internet Movie Database
Haystack Analytics - Software Delivery Analytics Tool for Engineering Teams. Deliver Software Faster, Better, and more Predictably.