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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.
AI assistant to chat with, summarize and auto-fill PDFs, aimed at students and professionals extracting insights from documents.
Lightweight digest reader that curates and summarizes trending Hacker News posts and Hugging Face papers to speed up daily reading.
Emails AI-generated summaries of any podcast episode from a link, plus a chat feature to ask follow-up questions about the episode.
Free trial available
No public pricing
- ✦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)
- ✦Chat across multiple documents
- ✦Instant document summaries
- ✦AI PDF form auto-filling
- ✦Document library organization
- ✦Chrome extension and mobile apps
- ✦ChatGPT and Zotero integrations
- ✦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
- ✦On-demand AI podcast episode summaries via link or upload
- ✦Chat interface for asking questions about an episode
- ✦Automatic summaries for new episodes of subscribed podcasts
- ✦Full transcript access on paid plans
- ✦Works with major podcast platforms and personal audio uploads
- ✦Email delivery of summaries
- →Build a financial advisor from a finance book
- →Create negotiation or conversation simulators
- →Prototype AI tools grounded in book content
- →Summarizing long reports or papers
- →Extracting data from contracts
- →Auto-filling repetitive PDF forms
- →Studying and reviewing course material
- →Developers keeping up with Hacker News without reading everything
- →AI researchers scanning new papers quickly
- →Tech enthusiasts wanting a daily curated digest
- →Getting the key takeaways from a long podcast without listening in full
- →Reviewing notes from an episode already listened to
- →Deciding whether an episode is worth listening to before playing it
- →Building a searchable archive of podcast insights