Product Thumbnail

MuM

A reading-first Markdown engine for macOS

Open Source
Developer Tools
GitHub
Visit WebsiteSee on Product HuntGithub ⧉Twitter ⧉

Featured onSeptember 28th, 2026
Hunted byIceskYslIceskYsl

Your Markdown lives in a dozen folders. Most of the time you don't want to write — you just want to read one section. Every Markdown tool is a writing app with a preview pane. MuM is the opposite: a native macOS reader with no web engine inside — all AppKit. Several projects open at once, each remembering where you stopped. Cross-project search. Typesetting tuned for CJK as well as Latin. ~0.3s cold start, 1.7 MB download, 100+ fps scrolling a 5 MB document. Open source, MIT.

Top comment

0.3 second open time is the number that'd actually make me switch, most "markdown viewer" apps still boot like a full editor even when all you want is to read one file. what's the differentiator versus just using Quick Look or Marked 2 for the read-only case, is it the multi-folder project view, or something in the rendering itself?

Comment highlights

Image

A quick question for you all — which icon reads better in your Dock?

We're finalizing MuM's app icon and torn between two directions:

A - the handwritten M: the warmth of hand-set typesetting, which is literally what the app does

B - the geometric M: crisper at small sizes, and the green stroke doubles as a "marked as read" check

Both are real builds sitting in my Dock right now. Which one would you rather see there? A or B?

Hey Product Hunt 👋

MuM is a reading-first Markdown engine for macOS.

I read Markdown far more than I write it — docs, notes, specs, scattered across

folders. Every tool I tried (Typora, Obsidian, VS Code, MacDown) is a writing app

that happens to have a preview. To read one section I had to boot a whole writing

environment.

So I built the tool I wanted: a native reader with no web engine inside. Cold

start to window is ~0.3s, the DMG is 1.7 MB, and scrolling a 5 MB document holds

100+ fps — because it's AppKit all the way down, not a browser wearing a trench coat.

A few things I care about:

• Reading position per project — close it, reopen, you're where you left off

• Cross-project full-text search (⌘⇧F) — my notes aren't in one vault

• Typesetting tuned for CJK, measured rather than defaulted

• The same engine has a CLI (mum render/outline/search), so agents get the exact

same typesetting humans read

Full disclosure on how it was made: MuM is built by three AI agents working the

same repo — Claude Code (independent testing and audits), Kimi Code

(implementation), and DeepSeek Harness (product definition and acceptance). Three

different vendors' CLIs, one codebase. They coordinate over a message queue and a

shared task board; I supplied the requirements and the judgment.

The numbers, because "AI wrote it" usually means nothing:

• 17 releases in eleven days

• 207 commits · 61 source files · ~16,700 lines of Swift

• 147 automated tests, plus 14 in-app UI scenarios and a 24-assertion renderer

self-check

• every release signed and notarized

• acceptance is a script, not a vibe: one gate blocks the build if anyone calls a

blocking API on the main thread — that gate exists because I hit a real hang

It's MIT, source is on GitHub: https://github.com/ice5kysl/MuM

I'd genuinely like to know where you get stuck — what's the first thing you do

after opening it, and where do you pause for more than five seconds?

About MuM on Product Hunt

“A reading-first Markdown engine for macOS”

MuM launched on Product Hunt on September 28th, 2026 and earned 92 upvotes and 4 comments, placing #13 on the daily leaderboard. Your Markdown lives in a dozen folders. Most of the time you don't want to write — you just want to read one section. Every Markdown tool is a writing app with a preview pane. MuM is the opposite: a native macOS reader with no web engine inside — all AppKit. Several projects open at once, each remembering where you stopped. Cross-project search. Typesetting tuned for CJK as well as Latin. ~0.3s cold start, 1.7 MB download, 100+ fps scrolling a 5 MB document. Open source, MIT.

MuM was featured in Open Source (68.9k followers), Developer Tools (520.2k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 131.6k products, making this a competitive space to launch in.

Who hunted MuM?

MuM was hunted by IceskYsl. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how MuM stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.