MoneyGame – In-Browser Business Simulation Game

Hacker News

https://www.moneyga.me The goal in this game is to make as much virtual money as possible. Features include working pleb jobs, operating various forms of businesses, trading items, currencies and stocks on The Exchange and so on. I have posted this on HN before, but it has been a couple of years now and some things have changed in the game. Most notably the addition of NPC buyers and NPC workers, which make the economy much more alive. Thank you for your attention and good weekend everybody!

Visit product View on Hacker NewsMar 13, 2021

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

56%56% predicted probability of success on TrustMRR, 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

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

49%49% 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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

24%24% predicted probability of success on Product Hunt, 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 · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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