Titlefindr recommends Books, Movies, TV shows, and cross-media recommendations. So for a given book you will in addition to other book recommendations also get movie and TV show recommendations for that book.
Titlefindr also has multi-title recommendations. This lets you pick multiple titles and get recommendations combined for all of them.
The main focus of the site is to give you recommendations, but it also has a user library and user list feature.
No features have been listed yet.
Titlefindr's answer:
One of the unique features is the cross-media recommendations and the multi-title recommendations. But the recommendations for the same type of media are also a core part of titlefindr.
Titlefindr's answer:
People that are interested in movies, TV series, and books. People who want to find more titles similar to other titles that like. People who want to find similar titles across different mediums, like books similar to a given movie.
Titlefindr's answer:
Django, Postgres, Redis, HTMX, Aline.js
Titlefindr's answer:
It is zero cost and close to zero effort to try it, so just check it out and decide for yourself.
Based on our record, Depict.ai seems to be more popular. It has been mentiond 2 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.
Depict (YC S20, http://depict.ai/) is building a merchandising platform for fashion e-commerce to make shopping a delight and store management a breeze. We serve hundreds of millions of requests every month to power category listings, recommendations and search on some of the largest e-commerce sites in Europe. We’re now looking for - Full-stack Engineer. You’ll help us build a... - Source: Hacker News / 7 months ago
Depict.ai | Backend, Frontend and Fullstack Engineers | Remote or Stockholm, Sweden https://depict.ai/ is on a mission to challenge Amazon's domination of e-commerce. We connect customers and retailers over a shared love for great products, by making e-commerce product discovery a breeze from start to finish. We want retailers with the best products, not the largest budgets, to win. We use computer vision and... - Source: Hacker News / over 2 years ago
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