Alternatives
Products that do what PlotSeekerAI does
AI-powered book discovery: Search by vibe, not just title.
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It's a web app that uses AI to turn any book into a playable text adventure. Your favorite book, but your choices, hence your story. You can even "remix" the genre like playing Dune as a noir detective story. Note: Work in progress. Suggestions are welcome.
2025 · kathaaverse.com
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Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…
2024 · hnbooks.pieterma.es
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2023 · librarian-ai.com
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2023 · github.com
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Just finished my second year at college studying Computer Science, and wanted to try and gain experience as a full stack dev this summer, so I made a website that allows users to create stories using openai's API, using embeddings for custom terms users can define, and create short stories and chapters alike. I'm mainly just looking for some feedback on how I can improve it or make it more presentable, so any help/feedback is welcome and appreciated!
2023 · plotnotes.ai
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Hello HN, I noticed that I often looked for new books, depending on my mood (e.g., if I'm feeling tired, I want to find books that'll help me fix that and improve my sleep). So, I created my 1st indie project, BooksByMood. BooksByMood will help you find your next read based on your mood w/ - Books averaging 4.09/5 on Goodreads - Each book comes with an explanation of why it's selected for your mood - 18 moods to explore I hope you'll enjoy using the website, Cheers!
2024 · booksbymood.com
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We have a dataset of 3,095 standardized AI responses across 43 prompts. From each response, we extract a 32-dimension stylometric fingerprint (lexical richness, sentence structure, punctuation habits, formatting patterns, discourse markers). Some findings: - 9 clone clusters (>90% cosine similarity on z-normalized feature vectors) - Mistral Large 2 and Large 3 2512 score 84.8% on a composite metric combining 5 independent signals - Gemini 2.5 Flash Lite writes 78% like Claude 3 Opus. Costs 185x less - Meta has the strongest provider "house style" (37.5x distinctiveness ratio) - "Satirical…
Apr 2026 · rival.tips
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