1a4a72fc27
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Rust workspace with core (topic-affinity learning engine + relevance scoring), db (sqlite/sqlx schema + repo), feeds (RSS/Atom fetch), llm (rig + local Ollama embeddings/completion), and web (axum + Dioxus fullstack UI, no separate JS stack). Two-stage relevance filtering (embedding shortlist -> LLM judgment) and an engagement/surprise-based topic affinity engine with daily decay. All crates compile and core's affinity engine has passing unit tests; server and wasm client targets of feedsignal-web both check clean.
8 lines
574 B
CSS
8 lines
574 B
CSS
body { font-family: system-ui, sans-serif; max-width: 720px; margin: 2rem auto; color: #1a1a1a; }
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.article-list { list-style: none; padding: 0; }
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.article-row { border-bottom: 1px solid #ddd; padding: 1rem 0; }
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.article-row a { font-weight: 600; text-decoration: none; color: #0b5fff; }
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.score { float: right; font-variant-numeric: tabular-nums; color: #555; }
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.summary { color: #444; margin: 0.4rem 0; }
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.topic-tag { display: inline-block; font-size: 0.75rem; background: #eee; border-radius: 4px; padding: 0.1rem 0.4rem; margin-right: 0.3rem; }
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.error { color: #b00020; }
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