Show HN: Knowledge graph of restaurants and chefs, built using LLMs

This post has been shared by .txt on Linkedin and Bluesky. For French restaurant intel, lefooding.com is the definitive data source. Their anonymous critics conduct systematic reviews of establishments across France (and now Belgium), documenting their findings in a witty - if peculiar - style. Beyond choosing the place for a delicious night out, they can be used to map and understand France’s culinary network. A network is composed of nodes and edges. Nodes represent entities, such as people or restaurants. Edges represent the relationships between people and restaurants, or absence thereof. For the French restaurant scene, nodes represent both people and restaurants. A person node is connected to a restaurant if that person is known to have worked at the restaurant. Restaurants with very many neighbor nodes (nodes connected to it) are restaurants whose alumni go on to create and work in other prestigious restaurants. This is the case of Ducasse (ok, not a restaurant but a placehol ... Read full article.