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hn_topic_digest
Turn supplied Hacker News records into an explainable HTML digest in one call: normalize records, apply explicit topic rules, and render a reading list. Returns a notebook-safe HTML fragment by default; full_document=True produces a standalone document. No live fetch or bundled dataset. Runs in the caller's Python environment.
render_digest
Render a supplied topic analysis as an escaped responsive HTML fragment with container-scoped CSS, coverage notes, window counts and a reading list. Safe for inline notebook display by default; full_document=True produces a standalone HTML file.
analyze_titles
Apply explicit topic rules and compare document shares in adjacent equal-duration windows. Counts describe the supplied snapshot, not all Hacker News activity.
fetch_snapshot
Fetch and normalize a bounded sample of real Hacker News stories through the official API. Explicit feed, item limit, timeout, retries and total time budget. Requires network access and httpx in the caller's environment; returns records and acquisition provenance. No bundled dataset or fallback data.
normalize_stories
Validate Hacker News records, normalize UTC timestamps and HTTP(S) links, and deduplicate by record identity. Input data stays with the caller.