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Advanced pull request merge protection for GitHub

Hacker News

Advanced pull request merge protection for GitHub

Hi HN, we're introducing Reviewpad Protect, the ultimate solution to safeguard pull request merges on GitHub. With it you can apply powerful rules to repositories, blocking merges that don't meet code review policies, quality standards, compliance requirements, and security protocols. Here's a sneak peek into what you can do with Reviewpad Protect: - Setup branch protection effortlessly with Reviewpad to secure the merge button. - Onboard new developers faster by requiring approvals from senior team members. - Strengthen security with sequential approvals based on authorship and change sensitivity. - Implement code freezes with ease by programmatically blocking merges. - Enforce best practices automatically, ensuring adherence to git conventions. - Guarantee checklist completion by mandating every task to be checked off. - Ensure green CI checks before merging, based on pull request changes. - Centralize merge protection rules, configure once, and apply across all repositories in one place. Don't leave your codebase vulnerable to subpar merges!

Visit product View on Hacker NewsJul 31, 2023

Actual performance

6points

2comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, 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: code review, io · Missing: https docs, excited, just released

68%68% 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: new, code · Missing: mac, agents, macos

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

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

41%41% 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

38%38% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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