ReadPo

Knowledge creators such as newsletter writers, bloggers, and user operations staff are buried in information, with unread counts that keep growing and no easy way to catch up. They face constant pressure to extract a small amount of useful insight from a large volume of articles and content for their audiences. Reading widely does not translate into retention, and note-taking to compensate feels too cumbersome. At the same time, their writing speed and output volume cannot keep pace with the demands placed on them, leaving a gap between how much they consume and how much original content they can produce.

ReadPo is an end-to-end tool that takes users through collection, filtering, reading, and writing around a chosen topic, built on the idea of syntopical reading and the Feynman technique of explaining a topic to test understanding of it. It aggregates content from multiple sources, including Google News (filterable by keyword), RSS feeds, and Twitter/X (including specific users), then uses AI to score, sort, and translate that material. Using RAG (retrieval-augmented generation) rather than pure LLM generation, it references real-time external information so output stays timely and grounded, producing articles, images, videos, and audio from custom writing prompts across multiple AI models. Users can create multiple topics to research in parallel, and the product includes a poster editor with templates, plus a planned Agent mode and API access for further automation.