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I made AquaShell, a scripting and automation environment for Windows

Hacker News

I made AquaShell, a scripting and automation environment for Windows

Being inspired by old third-party scripting environments such as AutoIt or AutoHotkey, I've developed my own scripting environment for Windows. I've always been fascinated by creating an own programming language and I made the syntax in a way it feels more like something that contains a personal flavor. The language matured over the years and I both use it for administration and automation tasks, but also for fully scripted applications as well. On the homepage, you'll find various production scripts as well as links to scripted applications. The scripting environment is free and open-source software, released under the MIT license.

Visit productView on Hacker NewsSep 18, 2025
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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
75%75% 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: tasks, open · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% 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
14%14% 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.

Correct prediction on native model

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