A
A GitHub App That Turns Checkboxes into To-Do's
Hacker NewsA GitHub App That Turns Checkboxes into To-Do's
I built a GitHub app that checks for uncompleted checkboxes within pull request comments and blocks the merge if found. This allows you to treat checkboxes as to-do’s and: * Open pull requests with a to-do list template -> make sure all steps are completed before merging * Leave to-do reminders for yourself as you work on a pull request * Leave to-do reminders for someone else as part of your code review Especially useful for large PRs with collapsed comments.
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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos75%75% 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, podcasting42%42% 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: code review · Missing: https docs, excited, just released34%34% 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, personal32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%29% 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, revenue22%22% 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, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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