A friend and I spent 6 years making a simulation game, finally released

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I've seen some interests in (simulation) video games here on HN so I thought I'd share a short version of our story. More than 6 years ago, me and my friend from university were playing around with an idea of making a game we always wanted to play. We worked on it on weekends but the progress was quite slow, especially due to so many dead ends and wasted effort. Eventually however, we solidified our direction and decided to take the risk to resign from our well paid SWE jobs and work on it full time. It took more than a year but yesterday we have finally released it on Steam: https://store.steampowered.com/app/1594320/Captain_of_Indust... I am still not sure if this was a good decision financially, but unlike in a corporate environment, I am so much happier working on a product that I can put my love into and see people enjoy it, see my direct impact, and be able to make big decisions (although this also adds a lot of stress). I also quite enjoy the added SWE challenges. I had to write so many complex algorithms (path-finding, logistics, serialization, ...) and optimize things down to bits (shaders, compression of in-memory data, ...) that were rarely required by my corp job. Anyhow, this is getting a little long, feel free to ask any questions, I will do my best to answer them.

Visit product View on Hacker NewsJun 1, 2022

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85%85% 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 · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal

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

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

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

29%29% 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: paid · 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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