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I made a Hawthorn game website where you can play similar games online

Hacker News

I made a Hawthorn game website where you can play similar games online

Hey HN, I am a gaming enthusiast and also a programmer. I recently saw that Steam is about to release a new game called Hawthorn, and I think it looks really interesting. However, the game hasn't officially launched yet, so it's not playable at the moment. I've played a few other animal simulation games and found them to be quite fun as casual games. So, I wanted to share them with everyone. I've put the information about Hawthorn and the other games I've played on this website, and I hope you'll like them too. If you're interested in Hawthorn, you can also add it to your wishlist. would love your feedback pls Chars

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
61%61% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
53%53% predicted probability of success on AppSumo, 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
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
38%38% 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
13%13% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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