My one-man game Alcyon Infinity on Steam, roast me

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I have been working on the prototype for 6 months, and released it as Early Access on Steam two weeks ago for 2.99$ :) Alcyon Infinity is a fast-paced bullet-hell with dynamic movement and crazy electro-neo-classical music. Destroy hordes of ever-improving enemies and their Mothership. Up to 4 Co-Op players with Controllers. As a one man studio it proved really hard to put on all the necessary hats to do everything from design to code to test and "marketing", without going crazy. So please roast me, because I'm not sure I can tell what's good or not anymore XD

Visit product View on Hacker NewsOct 13, 2022

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Actual performance

3points

5comments

Did not reach leaderboard

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63%63% 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.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% 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

41%41% predicted probability of success on TrustMRR, 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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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