Comment Issues – Link repo issues in your code comments

Hacker News

Hi HN, I wasn't really sure on whether this extension or functionality exists anywhere and I thought it would be really good to have since you can just command/control + click to jump to the issue referenced in code comments so I made this. Features: - Automatically links (#123) in code comments to the repository issue if available. - Support for Github, Gitlab and Bitbucket is present, others are untested. - Javascript/Typescript is a confirmed working language, others are untested. You can view the vscode marketplace listing here: https://marketplace.visualstudio.com/items?itemName=ryawaa.c... Please feel free to report bugs and the like!

Visit product View on Hacker NewsOct 26, 2024

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

68%68% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% 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: exist, 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.

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

43%43% 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

31%31% 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

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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