ulyssestenn/allthenewsyouneed

All the News You Need is a small project that publishes a daily news digest for people who want to stay aware of major events without following the news cycle constantly. Instead of chasing whatever is trending on social media, it picks headlines based on how likely they are to still matter in thirty days. Each day, the project generates a Markdown file named with that day's date, containing five headlines from each of four sources: The Wall Street Journal for business, law, and geopolitical significance, The New York Times for stories that shape elite and cultural conversation, NBC for mainstream national news, and the Associated Press as a neutral wire service baseline. The selection standard favors stories with lasting consequences: wars and international conflicts, court rulings and constitutional questions, elections, regulation, markets and trade, scientific and technological developments, public health news, infrastructure and energy, and major institutional or cultural shifts. It deliberately skips celebrity gossip, crime of the day stories, outrage bait, daily polling updates, social media controversies, partisan theater, viral curiosities, and lifestyle content. Each daily file follows a consistent format: a section per source, five numbered headlines with links, and a note disclosing any access limitations for that day. The project describes itself honestly: it is not meant to showcase balanced reporting, and it is not a replacement for reading books or other in depth material. It is meant purely as a compact daily check in for people who know they do not need constant news exposure but still want to catch what genuinely matters. The daily digest is generated automatically using a Claude based routine that applies the selection standard and publishes a new headlines file each day. At least one independent implementation exists: a Python version that fetches the same feeds, uses Claude for selection, and displays results through a Streamlit dashboard. There is no application to install for the core project, since it is primarily a live, evolving digest plus a public description of the method. The content, format, and selection approach are shared under a Creative Commons Attribution license, so others are free to reuse the idea and structure with credit.