Beautiful Markdown rendering in your terminal

Hacker News

Hey HN, I’ve been cobbling together a tool to read beautifully formatted markdown without leaving my terminal. Lime renders markdown in the terminal with actual formatting - big headers, syntax highlighted code, mermaid diagrams, all drawn using Ghostty’s Kitty graphics protocol support. It picks up your terminal’s native theme and you can jump between headings, pull up a table of contents to search and jump to sections of your document. It’s macOS and Ghostty for now, the document lives in scroll back and we use Apple Events to ask Ghostty jump around the scroll back instead of re-rendering. This also lets you use Ghostty’s native search and shortcuts for navigation.

Visit product View on Hacker NewsSep 11, 2026

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Actual performance

7points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, apple · Missing: agents, agent, cursor

84%84% 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

65%65% 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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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