Automat – A New (Game) Automation Utility

Hacker News

I’m happy to say that a new open-source game automation utility that I’ve been working on for the past 2 years is now coming to Steam! It has a website at https://automat.org/ . That website might be a little hard to parse though - so here are are some links: you can check it out on video here: https://www.youtube.com/watch?v=BBT9XO61B5I (I usually do a short intro on every development livestream) GitHub is here: https://github.com/mafik/automat an article about Automat: https://automat.org/live2025 (if you have any questions - check this out first!) and the Steam page is here: https://store.steampowered.com/app/4122050/Automat/ While Steam version is still in “coming soon” mode, you can grab a release from GitHub. Please note that even though it's free on GitHub, Steam Wishlists are still important for visibility - this is what drives the Steam algorithm! The easiest way to help out is to hit the wishlist button :P One word of warning - it doesn’t play well with Wayland (it’s fairly hard to interop with other apps on Wayland) - but I’m optimistic about this bit in the near future... And finally - don't be fooled by it's seemingly game-oriented focus. At it's core it's a visual programming environment!

Visit product View on Hacker NewsJan 30, 2026

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

61%61% 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.

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

55%55% 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 HuntUnlikely to reach the leaderboard · Strong signals: apps, new, visual · Missing: mac, agents, macos

41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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

16%16% 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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