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Case · 08

Knowledge base from a multi-year chat

For community authors, clinics, and education projects: years of livestreams and chat turned into a mess — newcomers get lost, and the owner cannot see what people actually ask.

In the catalog
1,824 materials
Sections
12
Topics for content
top-100
From chat messages
929,264

What I built

Built a catalog with sections and links, counted new releases after the old table of contents, extracted typical questions and a top-100 topic list for content. This is not treatment or medical advice — it is order in community knowledge.

What you get

  • Catalog of 1,824 messages (2021–2026), 12 sections
  • 538 new materials after the old table of contents
  • Top-100 topics from 929,264 chat messages
  • 5,000 unique questions

Verbatim patient stories, diagnoses, and phone numbers are not published.

Need the same order in your chat or material base? Describe the task →