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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:
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.
Scale globally with less complexity
With Paddle as your Merchant of Record
Compliance? Handled
New country? Done
Local pricing? One click
Payment methods? Tick
Weekly Drops: Launches & Deals