The author visualized This Week in Tech stories using machine learning and graph algorithms to explore connections between articles. They created a knowledge graph to represent entities, concepts, and topics from articles, using techniques like Named Entity Recognition (NER), external knowledge bases, and Doc2Vec embeddings. The resulting weighted graph was analyzed using the Louvain Community detection algorithm, revealing clusters of related stories on topics such as space exploration, security breaches, and banking startups. A web app was built to visualize these clusters, allowing users to explore related articles and discover new connections between stories. The visualization provided insights into what shaped this week's tech news, showcasing the potential of graphs in extracting actionable knowledge from unstructured data.