Alternatives
Products that do what We built an Anime Recommendation and streaming Website does
Me and my friend built an unique content based Recommendation System, where user can just select Anime or write synopsis and our system will find the most similar anime available. We used Qdrant Vector Database for the Recommendations. Other Features includes, Streaming, Custom watchlist creation and sharing of watchlists. We update our Database regularly and plan to introduce new features in future.
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2014 · github.com
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Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://book.sv/intersect - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://book.sv/remove-my-data) Technical info available here: https://book.sv/how-it-works Note 1: If you only provide one or two…
Nov 2025 · book.sv
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Hi, my name is Rayn. I am a solo independent entrepreneur. Initially, my only reason for learning was to make tons of money, but after completing the learning process, I was very confused about what my first project on the internet should be. I started browsing the internet for ideas but got bored and wasted time on social media. I noticed that in the comment sections of anime clips, many people were asking for the anime name and episode. That's when I thought, "Let's make an anime reverse search engine," and boom, Cleithral was born. Just upload a video, image, or gif, and it will give you…
2024 · cleithral.com
- 5WA
Hey all, creator of Video.js and co-founder of Mux & Zencoder here. My team and I built this. I hope you like the themes we’ve built so far, and maybe even get inspired to build your own. I know Web Components are in a bit of a drama cycle right now. I’m happy to see them get any attention really. I’ve been pretty bullish on them since ~2013 when I started working with them, at least in the context of a widget like a video player. I’ve even given many related talks on them like this one (https://www.youtube.com/watch?v=N6Mh84SRoDg). I would never push them for a large app or…
2024 · player.style
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Hi! I’m Julien and I built a recommendation engine for Hacker News. I feel like this website is a gold mine. Every day, I find some very interesting stories about a topic. And sometimes, I want to find other stories covering that same topic but I can’t. Hacker News has years of history of awesome discussion and ressources. Unfortunately, I think HN Algolia isn’t helpful in searching these old threads. As a student, I want to learn a lot from this website. This is why I created HN Recommend. Input a sentence or the URL of an article, and get the most popular and similar posts from Hacker…
2023 · hn-recommend.julienc.me
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Hello HN! I've built a web app that helps you discover new shows and movies you'll actually enjoy by: - Connecting to your Sonarr/Radarr/Plex instances to understand your media library - Leveraging your Plex watch history for personalized recommendations - Using the LLM of your choice to generate intelligent suggestions - Simple setup: Easy integration with your existing media stack - Flexible AI options: Works with OpenAI-compatible APIs like OpenRouter, or run locally via LM Studio, Ollama, etc. - Personalized recommendations: Based on what you actually watch. While it's still a…
2025 · github.com
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I created this chrome extension for myself where I track my own behavior locally and recommend myself content from platforms I want content from (youtube/twitter/quora/etc) in a feed. I made it public just in case anyone else was interested. I would rather have control over my own algorithm and own the data. Also, it gives me flexibility. Turns out I do like these feeds just not when I don't own it haha. Let me know what you think of my implementation?
2022 · github.com
- 10PR
Personalized Recommendations: Tailored Just for You! Ever felt lost in the sea of TV shows, anime, and movies ? We’ve all been there. But guess what? Those days are over. Say hello to Personalized Recommendations. This isn’t just any update; it’s your ticket to a curated watchlist that feels like it was handpicked by your best friend who knows your taste inside out. Uses two separate recommendation engines — each serving up not just tens but hundreds, and sometimes even thousands, of personalized picks to which you can apply your preferred sorting and filters to narrow down exactly what you…
2024 · simkl.org
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AI Anime Recommendations, Anime DNA, Watchlist & Calendar
May 2026 · apps.apple.com
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Hi HN, I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning. We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem. To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic…
Jan 2026 · playground.shaped.ai
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2020 · findka.com
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Hi there, I'm a Systems Engineering student in my final year. I've started building projects just for fun. This time, I created a movie recommendation system called Altas Pelis, which finds movies similar to the ones you select based on plot, director, genres, and actors. It’s tailored specifically for Argentina (in Spanish), but by default, it displays its content in English. It was a lot of fun to build. I stored the embeddings in a .npy file, and that’s essentially how it recommends movies—by computing cosine similarity when you select a movie. Sometimes (I’m not sure why or when), the…
2025 · altaspelis.com
- 18IB
I built Yourabbit.com — a site that curates hand-picked YouTube rabbit holes grouped by themes like quirky psychology, obscure tech, weird facts, and binge-worthy oddities. It’s not driven by the YouTube algorithm — every collection is themed and curated manually (for now), with a backend I’m automating to fetch and organize new rabbit holes daily. Built as a hybrid Astro + Next.js project, optimized for static generation and speed. I’m also pairing videos with custom summaries and commentary (using AI), and would love feedback from the HN crowd on: Content model (too wide? not specific…
2025 · yourabbit.com
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I'm a long time lurker that recently quit my job to work on my own projects, a lot due to the inspiration from Hacker News. Now I have published my first serious project, an app for learning how to write Japanese characters. It's the app I always wanted but couldn't find when I was studying. It tries to be simple to use, you just start the quiz and go with the flow. There's no need to plan and manage your studies, and it uses spaced repetition for better retention. There's a promo page with more details up at http://www.kanjibyhand.com. It's only for Android so far. The free version includes…
2012
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Hi Everyone, I recently wanted to learn Japanese with duolingo but it kept giving me repetitive lessons. So I built an app that gives a variety of lessons from anime. You can try it out here:https://kanjieight.vercel.app/ Thanks everyone.
Nov 2025 · kanjieight.vercel.app
- 23HM
One year ago, I downloaded the news.arc code and decided that I would teach myself programming by building a better aggregator. At that time, I had some rudimentary HTML knowledge, and little FORTRAN under my belt. I knew that I wanted an aggregator that could support a wide range of submissions, and one that could scale without losing quality for the user. Hubski is what I have to show for my time and effort. The easiest way to describe Hubski is to say that it uses a commenting system akin to HN or Reddit, but uses a sharing scheme like Twitter. You have a personal feed comprised of the…
2011
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2024 · animegenai.com
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