A CLI GitHub issue creator

Hacker News

I find value in creating high quality GH issues in the repos I maintain, but find myself not documenting features and bugs when I come across them. I work across 6-8 repos regularly, so even bringing up the right URL for the repo is a series of micro-efforts and clicks I do many times a day. I tend to have the directories for each these repos open already in my shell, so I wanted a way to A) leverage that I'm already looking right at the repo because this is where I do my commits, pulls, etc and B) not switch contexts to a website. I'm guessing many people have solutions in their editor with deeper git integration, but I've never gotten into the habit of using those tools. When I plugged Claude in to help fill out the issue body, I was impressed by how spot-on the (admittedly very few) examples were, and it made me realize just how +common+ some of the problem I want to create issues for are across apps, and the boilerplate captures them well. I suspect I'll still want to put some finishing touches on new issues on GitHub.com, so the script prints the URL after an issue is created to at least save me the URL lookup so I can go drop images, etc.

Visit product View on Hacker NewsOct 26, 2024

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, apps, new · Missing: mac, agents, macos

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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, 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

43%43% 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

40%40% 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

15%15% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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