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Turns 50+ book summaries into AI apps through an MCP server, letting non-coders build advisors, simulators and tools in Claude Desktop.
Library of audio and text summaries for 26,000+ books, good for readers wanting quick key takeaways instead of reading full books.
Free-to-start AI text summarizer with adjustable length and bullet output, aimed at students and writers.
Lightweight digest reader that curates and summarizes trending Hacker News posts and Hugging Face papers to speed up daily reading.
AI assistant to chat with, summarize and auto-fill PDFs, aimed at students and professionals extracting insights from documents.
Free trial available
No public pricing
Free trial available
- ✦50+ book summaries and chapter breakdowns
- ✦MCP server integration with Claude Desktop
- ✦Build AI apps, games and simulators from books
- ✦No-code app creation in minutes
- ✦Free API key with credits
- ✦Companion mobile app (LibraLM Scenario)
- ✦26,000+ book summaries in audio, PDF and EPUB
- ✦Full audio narration on Pro plan in 40 languages
- ✦Bookmarking and reading/listening history
- ✦Personalized recommendations by reading preference
- ✦Trending and curated book lists
- ✦Mobile app availability
- ✦One-click text summarization with word-count limits by plan
- ✦Paragraph or bullet-point summary formats
- ✦Choice of summary length (short, medium, long)
- ✦Advanced editor tool for tweaking output
- ✦Support for uploading Doc/PDF files
- ✦Multi-language summarization
- ✦AI summaries of top Hacker News posts
- ✦Hugging Face daily paper digests
- ✦Trending/hottest post filtering including Ask HN and Show HN
- ✦Quick-scan article preview format
- ✦Chat across multiple documents
- ✦Instant document summaries
- ✦AI PDF form auto-filling
- ✦Document library organization
- ✦Chrome extension and mobile apps
- ✦ChatGPT and Zotero integrations
- →Build a financial advisor from a finance book
- →Create negotiation or conversation simulators
- →Prototype AI tools grounded in book content
- →Getting the key ideas from a book without reading it fully
- →Listening to book summaries during a commute
- →Building a personal library of bookmarked summaries
- →Sampling a book before deciding to buy the full version
- →Summarizing academic papers for literature reviews
- →Condensing long articles or blog posts
- →Creating quick overviews for study notes
- →Processing large volumes of text for content teams
- →Developers keeping up with Hacker News without reading everything
- →AI researchers scanning new papers quickly
- →Tech enthusiasts wanting a daily curated digest
- →Summarizing long reports or papers
- →Extracting data from contracts
- →Auto-filling repetitive PDF forms
- →Studying and reviewing course material