Selfletter: I Built a Newsletter for One (Me) (github.com)

A new self-newsletter service called "Selfletter" has been developed to help manage the overwhelming pace of AI research progress. Designed for personal use, the service collects URLs from a Notion database, summarizes their contents, and sends a daily digest to the user's email. This tool is particularly significant for the AI/ML community as it leverages integration with platforms like Arxiv, Hugging Face, and YouTube, allowing users to efficiently keep track of relevant research and developments in the field. Selfletter utilizes a configuration that allows users to adapt it to their specific workflows. Key technical features include URL processing, which pulls abstract and full-content information from various research platforms, and a backend powered by the r.jina.ai endpoint for formatting summaries suitable for large language models (LLMs). With easy setup instructions, including environmental variable configurations for Notion and OpenAI credentials, Selfletter also supports GitHub Actions for automated daily execution, enhancing the workflow of researchers and practitioners seeking to stay up-to-date with the rapid advancements in AI and machine learning.