VSDoxyHighlighter – highlighting of Doxygen comments in Visual Studio

Hacker News

Visual Studio (not Code!) never provided built-in syntax highlighting of Doxygen commands in C/C++ comments. There used to be extensions for it in the past, but they are no longer maintained and are not available for the latest Visual Studio 2022. VSDoxyHighlighter fills the gap. It comes with two default color sets, one for dark and one for light VS themes. Highlighting can be enabled and disabled separately for “//”, “///”, “//!”, “/ ”, “/*” and “/ !” comments. Visual Studio marketplace: https://marketplace.visualstudio.com/items?itemName=Sedenion... Github: https://github.com/Sedeniono/VSDoxyHighlighter

Visit product View on Hacker NewsJan 11, 2023

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: visual, code · Missing: mac, agents, macos

60%60% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

50%50% 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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting

37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

29%29% 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

18%18% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

HPX with C++ and Visual Studio 201545%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HPX with C++ and Visual Studio 2015

Hacker News3

Precompiled libraries for Visual Studio43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Precompiled libraries for Visual Studio

Hacker News3

A Visual Studio CodeLens to inspect the IL instructions of a C# method36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Visual Studio CodeLens to inspect the IL instructions of a C# method

Hacker News6

Visual Studio Refactoring Essentials42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visual Studio Refactoring Essentials

Hacker News10

Clicking this will collapse all comments even if you didn't do so50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Clicking this will collapse all comments even if you didn't do so

Hacker News11

Embeddable hackernews comments69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Embeddable hackernews comments

Hacker News3

Lectio, contextualized comments for lectures75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lectio, contextualized comments for lectures

Hacker News21

Collapse HN Comments54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapse HN Comments

Hacker News141

Flocking comments63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flocking comments

Hacker News3

Collapsible comments for HN (Greasemonkey)66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapsible comments for HN (Greasemonkey)

Hacker News1

Browse all products Analyze your launch