LogicBlocks: Human-friendly statecharts for C# games and apps

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I made a hierarchical state machine implementation (or statecharts, depending on how you view it) for C# that allows me to write my nested states using inheritance just like you would with the state pattern. It has an experimental source generator I have been working on that reads your code and produces the UML diagram so you can see what your code looks like based on its inputs, the state changes, and the outputs produced. The source generator probably needs some major improvements to be truly robust, but I've already found it to be incredibly helpful for the game I'm making and some other projects. It's really nice to be able to quickly glance at a diagram as you're making changes to the code to verify if it's what you intended. Hope you like it :))

Visit product View on Hacker NewsAug 7, 2023

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

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

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · 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.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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