{"data":{"id":34,"backendId":"9fa88119-3154-4493-8201-4f7fbd3670c8","title":"Ask HN: Local CJK/Latin entity extraction without shipping a model?","summary":"I am building a local-first Mac writing app, and I am stuck on the story-memory layer. The problem: given a long fiction manuscript, I need to extract characters, aliases, relationships, locations, timeline facts, and unresolved plot facts. It has to work reasonably well across CJK and Latin-script text. For example, Chinese/Japanese/Korean names do not tokenize like English names, aliases may be implicit, and the same character can appear under several surface forms across chapters. I do not wa","analysis":"This content addresses a highly specific technical challenge in the local-first software space. It highlights the friction between advanced NLP needs (CJK support, entity linking) and hardware/distribution constraints, offering high reference value for developers in the creator tools niche.","category":"technology","strategicTrack":"creator_economy","capitalRelevance":{},"tags":["local-first","NLP","CJK","entity-extraction","writing-tools"],"qualityScore":10,"valueScore":8,"interestScore":7,"potentialScore":8,"uniquenessScore":8,"sourceCount":1,"confidence":5,"detectedAt":"2026-06-29T00:06:32.283Z","createdAt":"2026-07-03 08:06:35"}}