Vole Machine ISA Simulator

Hacker News

Just sharing this project [0] I've worked on a while ago, it's not that interesting but I was proud of making it. It has a CLI and a GUI that is done with Dear ImGui and includes an instruction editor, memory and registers viewer, and a canvas that is manipulated with an extra instruction made specifically for the GUI! This is not my first attempt at a virtual machine implementation, I've done the popular LC-3 VM before [1], check it out if you're interested to see Rust code rather than C++ ;) [0]: https://github.com/faresbakhit/vole-sim [1]: https://github.com/faresbakhit/lc3-vm

Visit product View on Hacker NewsJan 24, 2025

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, code · Missing: agents, macos, agent

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

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

41%41% 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

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

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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