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macOS-first Markdown editor with inline live preview (100% Swift)

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macOS-first Markdown editor with inline live preview (100% Swift)

Hi all, I made (yet another) Markdown editor because I couldn't find a native, macOS-first, file-based (i.e., not folder/vault-based) WYSIWYG Markdown editor / Typora alternative that feels like it's made by, or at least for, Apple. It's especially painful since I'm spoiled already by CotEditor when it comes to text editors...Hence, Edmund. To be clear (and a bit redundant), Edmund opens plain GFM .md files with live preview...Using AppKit + TextKit 2 + Swift, with WebKit ONLY for read-mode. I'm still developing more features such as file outline, basic folder support, extensions system, etc. The full roadmap is at https://trello.com/b/vw2TveNI if anyone's interested. Would appreciate any form of feedback (or contribution) :D

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, apple · Missing: agents, agent, cursor
91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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