Hyperbooklm Reviews — Discover what people think of this product.

HyperbookLM is an open-source research assistant template built with Next.js 15, React 19, and Hyperbrowser, designed for developers who want to ship advanced AI research experiences quickly. It ingests multiple sources—including web pages and PDFs—and turns them into an interactive, queryable knowledge workspace.

By combining multi-source scraping, client-side PDF parsing, and modern AI models, HyperbookLM delivers a full research workflow out of the box. You can:

• Scrape live websites via Hyperbrowser and unify them with uploaded documents
• Generate AI research summaries with key insights and structured overviews
• Visualize concepts through an interactive React Flow mindmap interface
• Create podcast-style audio briefings using ElevenLabs voice synthesis
• Auto-generate slide decks from source material with Google Gemini
• Chat with your research corpus using streaming OpenAI responses

The project showcases a production-ready architecture for growth-focused research products, including content repurposing pipelines, competitor analysis mindmaps, and automated knowledge bases for whitepapers and technical docs. With a clear file structure, API route examples, and environment-based configuration for Hyperbrowser, OpenAI, Gemini, and ElevenLabs, HyperbookLM gives engineers a practical starting point for building custom AI research experiences tailored to their own domains.