Hi HN! I built Rescribos to solve a problem I faced daily: drowning in valuable information while struggling to extract meaningful insights and connections. As someone who needs to stay on top of complex, rapidly-evolving information, I found traditional knowledge management tools lacking in their ability to help me actually understand and use the knowledge I was collecting. Rescribos is different because it transforms how we process and analyze information by:

- Using AI to automatically categorize content into thematic sections

- Creating intelligent subtopic clusters that reveal connections between related information

- Generating multi-tiered summaries (from detailed analysis to executive overviews)

- Identifying multi-order implications across domains (short, medium, and long-term)

- Providing actionable recommendations based on analyzed content

The tool grew out of a personal script I wrote to analyze weekly AI research papers. What started as a simple parser evolved into a sophisticated knowledge management system that now helps teams process large volumes of information more effectively than traditional methods.

You can see an example of Rescribos in action through our sample report and read more about our approach to AI-powered knowledge management in our whitepaper. whitepaper: https://rescribosbrief.s3.us-east-2.amazonaws.com/Rescribos_... sample report: https://rescribos.com/sample-report

I'd particularly value feedback from knowledge workers, researchers, and teams who manage complex information flows. What are your biggest challenges in knowledge management, and how could a tool like Rescribos help?