WebAssembly runtime embedded in Godot game engine

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A WebAssembly runtime embedded in Godot game engine projects. Interact with Wasm modules from GDScript. Accessing Wasm modules via GDScript provides the following benefits. - Sandboxed environment allows safely loading zero-trust mods/extensions to a project. - Single target means that Wasm modules can be built from any language e.g. Rust, Go, AssemblyScript and the single binary can be run on all platforms. - Fast execution compared to GDScript allows for offloading compute-heavy operations or running bots/mods/etc. at high FPS. This might be useful for loading mods, bot AI, or entire games (similar to the WASM-4 fantasy console), offloading compute-heavy tasks without using GDExtention C++, or just writing some game logic in your favourite Wasm-supported programming language. Supports Wasmtime, Wasmer, and other runtimes that adhere to the Wasm C API. Basic function and global access, memory operations via the standard StreamPeer interface, and limited WASI support. Installable for both Godot 3 and Godot 4 as a GDExtension/GDNative addon or as engine module. Happy to hear feedback and/or receive PRs!

Visit product View on Hacker NewsOct 16, 2023

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

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.

Product HuntOn track for Day 1 leaderboard · Strong signals: single, tasks, using · Missing: mac, agents, macos

74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% 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, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% 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

21%21% 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.

Correct prediction on native model

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