Show HN: Reader – I made a Mac workspace for books, browser tabs, notes, and AI
Reader An open-source, native AI reading workspace for macOS. Reader keeps the book, your notes, web research, and an AI conversation in one quiet workspace. Import PDF, EPUB, and TXT files; read in a native interface; highlight and annotate passages; simplify difficult writing; ask questions about a selection, the current page, everything up to your position, or the whole book; and open chat, a dictionary, or the web beside the text.
- ▪Reader An open-source, native AI reading workspace for macOS.
- ▪Reader keeps the book, your notes, web research, and an AI conversation in one quiet workspace.
- ▪Import PDF, EPUB, and TXT files; read in a native interface; highlight and annotate passages; simplify difficult writing; ask questions about a selection, the current page, everything up to your position, or the whole book; and open chat, a
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,625 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/Marvy101/reader-source |
| Publication time | Sat, 19 Sep 2026 16:59:58 +0000 |
| Retrieval time | 2026-09-19T17:13:47.123Z |
| Last seen | 2026-09-19T17:13:47.123Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | A_tOzG6NxMik · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Reader An open-source, native AI reading workspace for macOS. Reader keeps the book, your notes, web research, and an AI conversation in one quiet workspace. Import PDF, EPUB, and TXT files; read in a native interface; highlight and annotate passages; simplify difficult writing; ask questions about a selection, the current page, everything up to your position, or the whole book; and open chat, a dictionary, or the web beside the text. The library and reading experience are local-first. Books, progress, highlights, notes, search, and saved conversations remain usable without an account or backend. Supabase sync and AI features are optional additions. Features Native reading: import and read PDF, EPUB, and plain-text books in a focused macOS interface built with SwiftUI, PDFKit, and WebKit.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.