W+

W++ – A Python-style scripting language for .NET with NuGet support

Hacker News

Hey HN I’ve been building *W++*, a scripting language that looks like Python but runs on the .NET runtime. It started as a fun side project, but it evolved into something surprisingly powerful — and potentially useful: Key Features: - Python-style syntax with semicolon-based simplicity - Compiles to .NET IL with experimental JIT support - Can run interpreted or compiled - Built-in CLI for managing projects, running, and building - Supports importing NuGet packages and converts them to .ingot modules automatically - MIT licensed and fully open-source You can even do things like: wpp import Newtonsoft.Json let person = new JObject() person["name"] = "Alice" print person["name"]; Use Cases: Game scripting (Unity, OpenTK support in progress) Education (gentle intro to .NET without C# syntax) Blazor scripting Embeddable scripting engine for .NET apps GitHub: https://github.com/sinisterMage/WPlusPlus I’d love feedback, ideas, and thoughts. Thanks for reading — and if you’ve ever said “I wish Python ran on .NET,” this might be for you.

Visit product View on Hacker NewsMay 30, 2025

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

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: apps, new, open · Missing: mac, agents, macos

70%70% 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, io · Missing: https docs, excited, just released

70%70% 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, education · Missing: mobile apps, ios, personal

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

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

36%36% 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

23%23% 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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