LuaRT 1.0, open source Windows programming framework for Lua

Hacker News

LuaRT is a free and now open source Windows programming framework for Lua, with a Windows-optimized runtime library and integrated development tools. This project aims to facilitate Lua programming by better integrating Lua with Windows operating systems. Main features : - Uses latest Lua 5.4.4 VM - The runtime is lightweight and does not rely on any other libraries - Desktop/console applications and x86/x64 binaries supported - A number of built-in modules are available, including GUI, networking, compression, encryption, etc. - Object-oriented programming with multilevel inheritance, mixins, constructors, destructors, properties... - The development tools include a Lua script to executable compiler, LuaRT Studio IDE, and a REPL. Regards, Samir

Visit product View on Hacker NewsSep 25, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: lua, open source, ide · Missing: https docs, excited, just released

86%86% 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: open · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% predicted probability of success on Indie Hackers, 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

32%32% 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

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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