AskLibrary.ai (+ MemoryPlugin)

"AskLibrary.ai lets you talk to your books using advanced RAG techniques, while MemoryPlugin adds long-term memory to ChatGPT, Claude, Gemini, and other AI tools."
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asklibrary.ai
Maker: asaddhamani
no rev. info provided

Marketing Channels

Secondary

Hacker News

Shared both products in HN yearly projects thread

Primary

Scratch your own itch

Built AskLibrary to solve a personal pain point of finding answers across books; built MemoryPlugin to fill a gap in Claude/TypingMind

Growth Levers

  • Position AskLibrary for academic and research users who need to query large book collections
  • Market MemoryPlugin to power users of Claude, ChatGPT, and TypingMind who want persistent memory
  • Leverage cross-platform browser support (desktop and mobile) as a differentiator for MemoryPlugin
  • Publish technical content about RAG techniques (query fanout, reranking, multi-step retrieval) to build authority
  • Explore partnerships with e-book platforms to integrate AskLibrary as a feature

First Customer Strategy

Both products were built to solve the creator's own pain points — AskLibrary to query personal books, MemoryPlugin to add long-term memory missing from Claude and TypingMind. No explicit customer acquisition strategy mentioned.

Pricing Insight

No pricing details mentioned for either product.

New Market Opportunities

  • Academic and research institutions Researchers often need to search across many books and papers for specific answers
  • AI power users across multiple platforms MemoryPlugin works across ChatGPT, Claude, Gemini, TypingMind, and LibreChat — targeting users who switch between AI tools

Key Takeaways

  • Building for your own pain points can yield products with genuine product-market fit
  • Advanced RAG techniques (query fanout, reranking, multi-step retrieval) are becoming table stakes for AI-powered search
  • Cross-platform compatibility (browser extensions for desktop and mobile) can broaden addressable market
  • Fine-tuning AI models with memories increases hallucinations — retrieval-based approaches may be more reliable for personalization

Sentiment Analysis

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