Hacker News: zhiheng_huanghttps://news.ycombinator.com/user?id=zhiheng_huangHacker News RSShttps://hnrss.org/hnrss v2.1.1Wed, 22 Jul 2026 18:26:26 +0000<![CDATA[Show HN: Sharper – an AI office agent grounded in your knowledge, with citations]]>Article URL: https://sharper-ai.co

Comments URL: https://news.ycombinator.com/item?id=48982416

Points: 3

# Comments: 0

]]>Mon, 20 Jul 2026 17:59:52 +0000https://sharper-ai.cozhiheng_huanghttps://news.ycombinator.com/item?id=48982416https://news.ycombinator.com/item?id=48982416<![CDATA[Denser Retriever: Semantic Search and Document Retrieval]]>Article URL: https://retriever.denser.ai

Comments URL: https://news.ycombinator.com/item?id=47077963

Points: 1

# Comments: 0

]]>Thu, 19 Feb 2026 19:25:47 +0000https://retriever.denser.aizhiheng_huanghttps://news.ycombinator.com/item?id=47077963https://news.ycombinator.com/item?id=47077963<![CDATA[New comment by zhiheng_huang in "NotebookLM vs. Denser AI Chat: Which AI Knowledge Assistant Is Right for You?"]]>When it comes to AI-powered knowledge assistants, two platforms have emerged as standout options for different use cases: Google NotebookLM and Denser AI Chat. Both are examples of artificial intelligence knowledge assistants, leveraging advanced AI to transform documents into intelligent, conversational knowledge bases. This article will help you choose the best AI for your needs. While both excel at transforming documents into intelligent, conversational knowledge bases, they serve distinctly different needs and workflows. In addition, we will highlight the best features of each platform.

]]>Mon, 01 Dec 2025 20:23:58 +0000https://news.ycombinator.com/item?id=46112690zhiheng_huanghttps://news.ycombinator.com/item?id=46112690https://news.ycombinator.com/item?id=46112690<![CDATA[NotebookLM vs. Denser AI Chat: Which AI Knowledge Assistant Is Right for You?]]>Article URL: https://denser.ai/blog/ai-knowledge-bases-compared-notebooklm-denser/

Comments URL: https://news.ycombinator.com/item?id=46112689

Points: 8

# Comments: 1

]]>Mon, 01 Dec 2025 20:23:58 +0000https://denser.ai/blog/ai-knowledge-bases-compared-notebooklm-denser/zhiheng_huanghttps://news.ycombinator.com/item?id=46112689https://news.ycombinator.com/item?id=46112689<![CDATA[New comment by zhiheng_huang in "PDF Chat with Source Highlights"]]>Hey everyone! We just launched an open-source project called Denser Chat. This tool not only provides accurate answers from the chatbot but also highlights the specific passages used to generate each response, adding a layer of transparency to every interaction.

Key Features: * Extract text and tables straight from PDFs * Build customized chatbots easily with Denser Retriever * Chat in a Streamlit app with real-time source highlighting for every response

We hope this can be a valuable addition to your AI development toolkit!

]]>Thu, 07 Nov 2024 18:39:54 +0000https://news.ycombinator.com/item?id=42079496zhiheng_huanghttps://news.ycombinator.com/item?id=42079496https://news.ycombinator.com/item?id=42079496<![CDATA[PDF Chat with Source Highlights]]>Article URL: https://github.com/denser-org/denser-chat

Comments URL: https://news.ycombinator.com/item?id=42079495

Points: 2

# Comments: 1

]]>Thu, 07 Nov 2024 18:39:54 +0000https://github.com/denser-org/denser-chatzhiheng_huanghttps://news.ycombinator.com/item?id=42079495https://news.ycombinator.com/item?id=42079495