Wails v2 Beta for Mac

Hacker News

Hi. I'm pleased to announce Wails v2 beta for Mac! It has all but 1 of the features that were part of the Windows release (Menus, Dialogs, live dev mode, etc) plus some juicy extras: Native M1 Support + Universal Binaries That wicked frosty effect we all love in our Mac apps :-) Customisable window titlebars and support for NSAppearance Cross Compilation to Windows (because that's in pure Go \o/ ) Announcement / Release notes: https://wails.io/blog/wails-v2-beta-for-mac It's been a hard slog and no doubt there'll be a number of gaps in the docs and bugs. Please open issues on GitHub and feel free to use the v2 discussion board for answers to your questions. Thanks for your amazing support! PS: Linux users - you're next! PPS: This release was 8 days late, but under budget so we're all good.

Visit product View on Hacker NewsNov 9, 2021

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

88%88% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

57%57% 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 · Strong signals: apps, answers, users · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, users · Missing: platform, intuitive, reviews

39%39% 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

18%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, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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