Ad Astra – scripting language platform for Rust

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Ad Astra is a dynamically typed scripting language designed for embedded use in Rust programs. It belongs to the same category as languages like Rhai and Rune, where developers expose APIs implemented in Rust to a dynamic, domain-specific scripting environment, enabling a rapid edit-compile-run cycle. Informally, you might think of Ad Astra as a "Lua" for Rust. Such systems have many applications, including the development of plugin platforms based on scripts for video game engines. Ad Astra primarily focuses on ergonomics, both for the scripting platform developer and the script user: 1. For the platform developer, Ad Astra's API offers a convenient macro system for exporting APIs into the script engine. In many cases, you can export Rust APIs as they are, without changes and without the need to maintain an extra abstraction layer. 2. For the script user, the platform provides an advanced IDE environment through the built-in LSP language server. This environment helps the user develop script source code and explore exported APIs. You can try Ad Astra's features in the interactive Playground on the project's website: https://ad-astra.lakhin.com/playground.html . Feedback is much appreciated, and I'll be glad to answer any questions. Ilya

Visit product View on Hacker NewsAug 29, 2024

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

82%82% 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.

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

69%69% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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.

Incorrect prediction on native model

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