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Show HN: I built a native macOS Markdown viewer 100% with AI coding agents

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Show HN: I built a native macOS Markdown viewer 100% with AI coding agents
TL;DR · WeSearch summary

A new native Markdown viewer for macOS has been developed entirely by AI coding agents. The application supports GitHub-flavored Markdown and offers features such as instant load times and a minimal binary size. Users can install it easily and utilize various functionalities like rendering diagrams and math equations.

Key facts
How this story was covered

2 outlets in our directory ran this story, first to last over 7 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 2,530 of its stories.

Original article
GitHub
Read full at GitHub →
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →

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 publisherGitHub
Canonical URLhttps://github.com/rajatarya/mdviewer
Publication timeTue, 19 May 2026 21:57:19 +0000
Retrieval time2026-05-19T22:04:58.349Z
Last seen2026-05-19T22:04:58.349Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterX5J517oP3hzA · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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

Markdown Viewer A fast, lightweight native Markdown viewer for macOS Render GitHub-flavored and Obsidian-style Markdown as beautiful HTML in a native window — with instant load time and a tiny binary footprint. Features · Installation · Usage · Development · Contributing · Colophon Features Category Supported GitHub Flavored Markdown Tables, task lists, strikethrough, autolinks, fenced code blocks Obsidian-style Wikilinks [[Page|label]], emoji shortcodes :rocket:, callouts > [!NOTE] Math Inline $E = mc^2$ and display $$\int_0^\infty$$ via KaTeX Diagrams Mermaid code blocks rendered with Mermaid.js Frontmatter Title, description, tags, status badges, and full metadata box Security All HTML sanitized via ammonia — XSS-safe by default Performance Zero webview overhead, instant load, ~few MB…

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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