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Wageslave – I quit my soul sucking job to make a game about it

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Wageslave – I quit my soul sucking job to make a game about it

Game development used to be something I dabbled in and off, and despite having chosen to major in Computer Science to follow a career in the field, I never managed to establish any consistency with it. So I relegated this aspiration to the realm of pipe dreams, something whose idea I preferred to the actual process of doing it, and I continued working as a software engineer. This only changed after a disruption to my job: the fintech I worked for got acquired by a big traditional bank and we were absorbed into their ranks. Long story short: it wasn't a culture fit. After six months, I decided to quit; earning a salary was the only thing keeping me there. With all this newfound free time, I decided to give game dev another chance. I would never get back those six months, but I could use them as fuel for creative inspiration. That's how the idea of wageslave came to be: I wanted to embody the absurdity of the 9 to 5 into an interactive format. As well as include winks and nods to developer culture. I don't know if I was successful with this goal, but it's been lots of fun creating it as well as being a cathartic experience for me. I am actually enjoying the process and not just the results. So much so that I'm aiming to complete at least two more projects before I reevaluate whether this is viable. I initially planned on releasing the game for free, but in the spirit of taking game dev seriously, I will be selling it for a small amount. Feel free to try the demo, I'd be happy to hear about any feedback!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
89%89% 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: lua, ide, pipe · Missing: https docs, excited, just released
79%79% 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: computer, new · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
36%36% 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
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
15%15% 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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