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Possibly Endless Golf, possibly the coziest golf game in the world

Hacker News

Possibly Endless Golf, possibly the coziest golf game in the world

Hi All I'm really into cozy games and wanted a chilled out golf game that I could play on my Steam deck in front of the TV. So I went and made one myself! I made it so that levels are easy to traverse through but you can challenge yourself if you want to. I have demake in development for a game jam at the moment as well. This is I link to an early version of the demake https://www.lexaloffle.com/bbs/?pid=136972#p I will have an update with updated physics soon and the physics in the Steam game are a lot better. Please let me know what you think.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive
60%60% predicted probability of success on AppSumo, 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
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% 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
38%38% 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, macos
20%20% 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
14%14% 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.

Correct prediction on native model

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