Show HN: Deep Research Using Radpod.ai on Paul Graham's Essays

We created RadPod to bring the latest in LLM Reasoning Agents (think Gemini&#x2F;OpenAI &quot;Deep Research&quot;) to your data. You upload possibly large datasets to Pods (handles a lot more than other products), providing context for the LLM agent, and start chatting. Under the hood we employ on-the-fly code generation and execution to answer arbitrarily hard questions with in-context citations to make answers verifiable and trustworthy. This is a lot more powerful than common Retrieval Augmented Generation (RAG)-based approaches<p>In this example Pod, we uploaded 227 of Paul Graham&#x27;s essays, which are inspirational to us as founders, and show-case some example threads (questions + responses). Among other things it was able to find that:<p>- The most common topics are unsurprisingly Startups, Programming, and Investing - Lisp is his favorite programming language - There are many mentions of Mark Zuckerberg and Larry Page in the essays, but not as many as Jessica Livingston, who he really admires :) - He wrote more frequently in the period 2005-2009<p>It&#x27;s fun to try, ask away! Check some other cool Pods at <a href="https:&#x2F;&#x2F;radpod.ai&#x2F;spotlight-pods" rel="nofollow">https:&#x2F;&#x2F;radpod.ai&#x2F;spotlight-pods</a>. We find RadPod works well on many domains, such as finance and legal documents.