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Draft full v1.1 SNS post copy (LinkedIn, Threads, HN, Reddit×2)
Previously only the X/Twitter copy was written. Filled in: - LinkedIn: ~1300 char professional/insight tone with 5-bullet feature list - Threads: 5-post Korean thread, conversational - HN Show: full Show HN body with stack details and discussion hooks - Reddit r/programming: technical angle, citation pipeline as discussion hook - Reddit r/selfhosted: self-hosting + MIT + no telemetry framing dev.to remains a TODO since it's effectively a translation of blog-v1-1.md (135 lines) — left a note suggesting the HN Show body as a faster starting point than full translation. Reddit posts include a discussion seed (LLM-as-judge for citations) so the threads have something to grab onto beyond "look at my project." Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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> kiwimu v1.1 — wikis grow, they aren't made.
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> bunx @open330/kiwimu init --demo
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### LinkedIn 문안
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> kiwimu v1.1을 공개합니다. 한 줄로: **위키는 만드는 게 아니라 자라는 거였다.**
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>
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> v1.0이 "문서를 넣으면 위키가 된다"를 증명한 버전이었다면, v1.1은 그 위키가 **읽는 동안 알아서 자라나는** 구조를 만든 업데이트입니다.
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>
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> 핵심은 단순합니다.
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> 1. 위키 본문에서 모르는 문장을 드래그합니다.
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> 2. 팝오버에 "이게 뭔데?" 한 줄 질문합니다.
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> 3. AI가 답을 씁니다.
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> 4. "위키에 저장" 한 번 누르면 정식 페이지가 됩니다.
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>
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> 그 자연스러운 행동이 위키를 키우는 동력이 됩니다. 문서를 처음부터 "쓰는" 사람은 적지만, 읽다가 막히는 사람은 모두입니다. 그 막히는 순간을 페이지로 변환해주는 것이 v1.1의 목표였습니다.
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>
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> 옆에 함께 들어간 다섯 가지:
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> · 모든 AI 문장에 인라인 인용 자동 부착 — 신뢰 가능한 위키
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> · kiwi.toml 5줄 스키마로 LLM 톤·카테고리 강제
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> · 카탈로그 페이지 — 100개 페이지에서 길 잃지 않기
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> · 활동 로그 — 위키가 실제로 쓰이고 있는지 시간선으로 확인
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> · 링크 미리보기 패널 — 페이지 이동 없이 확인
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>
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> 셀프호스팅, MIT, 텔레메트리 없음. 30초 데모:
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> `bunx @open330/kiwimu init --demo`
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>
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> 글: jiun.dev/posts/kiwimu-v1-1
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> 코드: github.com/Open330/kiwimu
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>
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> #LLM #OpenSource #DeveloperTools #KnowledgeManagement #Wiki
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### Threads 문안 (한국어, 5-스레드)
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**1/5**
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> 위키 안 만들어 봤어요? 저도요.
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> 근데 만들기 전에 "위키가 자라난다"는 게 뭔지 30초만 보고 가세요.
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> [GIF]
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**2/5**
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> kiwimu v1.1을 공개합니다.
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> 한 줄로: 위키는 만드는 게 아니라 자라는 거였다.
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> 본문 드래그 → AI 질문 → 답변 → 한 번 클릭으로 정식 페이지 승격.
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**3/5**
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> 핵심 인사이트는 간단해요.
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> "문서를 처음부터 쓰는 사람은 적지만, 읽다가 막히는 사람은 모두."
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> 그 막히는 순간을 페이지로 변환해주는 게 v1.1의 목표였어요.
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**4/5**
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> 옆에 들어간 것들:
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> ✅ 모든 AI 문장에 인용 자동 부착
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> ✅ 5줄 스키마로 LLM 강제
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> ✅ 카탈로그 + 활동 로그
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> ✅ 링크 호버 미리보기
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**5/5**
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> 셀프호스팅, MIT, 텔레메트리 없음.
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> bunx @open330/kiwimu init --demo
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>
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> 코드 → github.com/Open330/kiwimu
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> 글 → jiun.dev/posts/kiwimu-v1-1
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## D+1 ~ D+5
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- [ ] HN Show: "Show HN: kiwimu – Wikis grow, they aren't made"
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- [ ] dev.to: 블로그 글 영문 번역 버전
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- [ ] Reddit r/programming, r/selfhosted
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- [ ] 댓글/멘션 모니터링 및 응답
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### HN Show 본문
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**제목:** Show HN: kiwimu v1.1 – Wikis grow, they aren't made
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**본문:**
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> Hi HN, I'm jiun, the author of kiwimu — a self-hosted CLI that turns documents (PDF, DOCX, URL, Markdown) into a hyperlinked learning wiki using LLMs.
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> v1.0 (released a month ago) proved the basic loop: drop in a textbook, get a navigable wiki + auto-generated quizzes. v1.1 changes the philosophy from "make a wiki" to "let the wiki grow as you read it." Five things shipped:
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> 1. **Inline citations on every AI-generated sentence.** Each sentence ends with a `[^src:slug]` pointer to the source page. There's also a coverage matrix that surfaces pages where the AI made claims with no source backing — the biggest legitimacy hole for AI-generated wikis.
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> 2. **Schema layer.** Five lines in `kiwi.toml` define your team's categories, page templates, and tone constraints. The LLM operates inside that schema or doesn't operate at all. This was the most-requested v1.0 feature: people wanted consistency without a human moderator.
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> 3. **Query → wiki promotion (the killer feature).** Highlight any sentence in a wiki page → popover asks for your question → LLM writes a concept page → one click promotes it to a real linked page. With duplicate detection so you don't fork existing pages. The natural reading-when-stuck moment becomes the wiki's growth engine.
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> 4. **Content catalog + activity log.** Auto-categorized index page so you don't lose your way at 100+ pages, and a timeline of every page creation, question, promotion, and schema change.
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> 5. **Peek panel.** Hover any internal `/wiki/*` link → a side panel slides in with the linked page's body. Same idea as Wikipedia's hover preview but for your own wiki.
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> Stack: Bun + TypeScript, SQLite (FTS5 + embeddings), zero runtime deps for the static site. MIT, no telemetry, optional 4 LLM providers (Gemini free tier works fine).
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> 30s try:
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> ```
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> bunx @open330/kiwimu init --demo
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> ```
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> Repo: https://github.com/Open330/kiwimu
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> Long-form post: https://jiun.dev/posts/kiwimu-v1-1
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> Happy to discuss design decisions — especially the citation pipeline (LLM-as-judge for source attribution turned out trickier than I expected) and the schema enforcement (deterministic post-processing vs system prompt vs structured output, all three have failure modes).
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### dev.to 본문 (영문)
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> 블로그 글 `blog-v1-1.md`의 영문 번역 버전. dev.to 형식 (frontmatter + tags). 작성 필요 — 한글 원문 135줄, 번역 + 영문 톤 조정 + tags(`#opensource #ai #wiki #llm #typescript`) 추가.
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> 시간 절약을 위해 HN Show 본문을 토대로 확장하는 게 더 빠를 수 있음.
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### Reddit r/programming
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**제목:** kiwimu v1.1 — turn any document into a self-growing wiki via inline LLM Q&A (MIT, self-hosted)
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**본문:**
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> v1.1 of kiwimu just shipped. It's a CLI that converts documents into hyperlinked wikis with LLM-generated cross-links. The new version focuses on letting the wiki **grow while you read it**, rather than treating wiki generation as a one-shot batch job.
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> The core interaction is what I'd call "reading-driven authoring":
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> - Highlight a sentence you don't understand inside any wiki page
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> - Ask a question in the popover
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> - LLM writes a concept page answering it
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> - One click promotes that answer to a fully linked wiki page (with duplicate detection)
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> Each AI-generated sentence carries an inline citation pointing to its source. There's a coverage matrix to flag pages that have AI claims with no source attribution — the standard legitimacy problem for AI-generated docs.
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> Schema layer in `kiwi.toml` lets you constrain LLM output to your team's categories, page templates, and tone (5 lines of TOML).
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> Stack: Bun, TypeScript, SQLite (FTS5 + embeddings). MIT, no telemetry. Demo runs without an API key.
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> ```bash
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> bunx @open330/kiwimu init --demo
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> ```
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> Repo: https://github.com/Open330/kiwimu
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> Writeup: https://jiun.dev/posts/kiwimu-v1-1
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> Discussion welcome — particularly interested in feedback on the citation enforcement (LLM-as-judge has been the trickiest piece).
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### Reddit r/selfhosted
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**제목:** kiwimu v1.1 — self-hosted learning wiki builder, MIT, no telemetry, no API key required for demo
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**본문:**
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> v1.1 of kiwimu is out. It's a CLI that takes documents (PDF, DOCX, URL, Markdown) and builds a self-hosted, hyperlinked learning wiki. Fully MIT, zero telemetry, runs entirely on your machine.
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> A demo mode runs without any API key — you get a sample wiki on quantum mechanics + data structures preloaded with quizzes:
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> ```bash
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> bunx @open330/kiwimu init --demo
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> ```
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> Then `kiwimu serve` and you're at `localhost:8000`.
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> v1.1 highlights:
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> - Inline LLM Q&A: highlight any text in a wiki page, ask a question, get an answer that promotes to a real page in one click
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> - Schema layer (`kiwi.toml`) — define categories/templates/tone in 5 lines, LLM follows them
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> - Inline citations on all AI-generated content with a coverage matrix
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> - Activity log so you can see how the wiki is actually being used
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> - Hover preview panel on internal links
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> LLM provider is your choice: Gemini (free), OpenAI, Anthropic, Azure OpenAI. Pick one and drop the key into the config.
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> Hosting story: static site builds via `kiwimu build` for read-only deploys, or `kiwimu serve` for the editable + dynamic Q&A version. SQLite under the hood, easy to back up.
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> Repo: https://github.com/Open330/kiwimu
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> Writeup: https://jiun.dev/posts/kiwimu-v1-1
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### 그 외
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- [ ] 댓글/멘션 모니터링 및 응답 (24h 적극 응답)

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