ge
ger2err: turn Gerrit comments into compiler errors
Hacker Newsger2err: turn Gerrit comments into compiler errors
Did you know that the coworkers who review yuor code are actually compilers in disguise? ger2err takes a commit ID as an argument, and spits out their review comments in the style of GCC. You can feed this to your favorite editor so that you can easily navigate to the indicated lines of code, and address everything, just like if the diagnostics had come from a compilation job.
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue18%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, crypto9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Cl
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 News11Tr
Tremapping Comments from HN with WebGL73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tremapping Comments from HN with WebGL
Hacker News4Da
Dataset of Sarcastic HN Comments64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dataset of Sarcastic HN Comments
Hacker News11Sc
Screenfetch for HN Comments69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Screenfetch for HN Comments
Hacker News4Em
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 News3Le
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 News21Co
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 News141Fl
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 News3Co
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
CommentLink53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn Comments Into Conversations
Product Hunt