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Recbert AI
BERT-based AI trained on millions of users' anime lists
Recbert is a desktop app powered by BERT, an NLP architecture originally built to understand human language, now trained on massive real user data to understand human preferences. We collected 5 million user profiles from the three biggest anime platforms. A massive dataset with 5 million anime lists and hundreds of millions of ratings, filtered and structured into the largest and most up-to-date anime recommendation dataset. See what a model designed to read language does when it reads you.
See what a model built to understand human language can do when trained on massive data to understand human preferences. Let Recbert AI help you find your way in your anime journey!
There was a web demo before, trained on a smaller subset of the dataset, early UI, missing features. Recbert Desktop is trained on the full dataset, rebuilt as a desktop app. This is the full product with new features and UI.
About Recbert AI on Product Hunt
“BERT-based AI trained on millions of users' anime lists”
Recbert AI was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #36 on the daily leaderboard. Recbert is a desktop app powered by BERT, an NLP architecture originally built to understand human language, now trained on massive real user data to understand human preferences. We collected 5 million user profiles from the three biggest anime platforms. A massive dataset with 5 million anime lists and hundreds of millions of ratings, filtered and structured into the largest and most up-to-date anime recommendation dataset. See what a model designed to read language does when it reads you.
Recbert AI was featured in PC (5.1k followers), Artificial Intelligence (467.3k followers) and Entertainment (1.9k followers) on Product Hunt. Together, these topics include over 92.8k products, making this a competitive space to launch in.
Who hunted Recbert AI?
Recbert AI was hunted by Ramazan Turan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Recbert AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ramazan Turan