My
My first game – CryptoEmpire.io :)
Hacker NewsMy first game – CryptoEmpire.io :)
I know everyone is a bit burned out on blockchain and cryptocurrency related stuff around these parts, but I've been working on as a side project for the last few months and thought you guys might be interested: https://cryptoempire.io/ It's still a bit buggy and incomplete (the mobile ux needs a lot of work, the leaderboard isn't functional yet, etc.), but I've reached a point where I'm not totally ashamed of sharing it :) Any feedback would be most welcome!
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13points
4comments
Made the leaderboard
Launch Intel predictions
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting68%68% 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: ide, io · Missing: https docs, excited, just released56%56% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos46%46% 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, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto, cryptocurrency · Missing: web3, chat, make money1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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