Gaming Gaiden: A lightweight gaming time tracker in PowerShell

Hacker News

Hi Everyone, I made a Powershell application to track time spent playing pc / emulated games. It provides many other interesting statistics as well over long term that can add value to someone's gaming hobby imo. I used to use a closed source program called Gameplay Time Tracker for time tracking focused on gaming, but overtime it started failing and throwing exceptions everywhere. I tried reaching to its Developer to ask if they can open source it and i can fix the problems. I couldn't raise them. It had been truly abandoned. After a while i just decided to build a replacement. Few choices that may seem strange, using Powershell for a GUI application, building the GUI with HTML, CSS and JS instead of native windows forms. All of these were made because i am not a windows app dev / GUI dev. I am infra engineer and have strong scripting skills. Instead of getting bogged down in learning a whole programming language like C# and .Net., decided to go with Powershell. DataTables and ChartJs made it trivial to create the UI. Pragmatic choices over conventional wisdom basically. It turned out well in my opinion. Got some attention on reddit and in a youtube channel. Thought it would be good to share here as well.

Visit product View on Hacker NewsNov 21, 2023

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3points

Did not reach leaderboard

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

77%77% 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: using, open · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

63%63% 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 · 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

22%22% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: time tracking · 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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