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A small open-source logic game based on an a early DOS game

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A small open-source logic game based on an a early DOS game

I wanted to try out Unity so I created a small game with it. The reason I post it here is because it is based on an old DOS game that I barely remember but I liked very much. I don't remember the name of the original game but would love to play it again some time. So maybe someone of the HN crowd knows the game and can tell me the name :) The game might amuse you for 5 minutes or half an hour. After some levels, you get the gist of how you can move and it's not really possible to create a super hard level. It could be extended with different movements to make it more complex, but I'm not planning to do so for now.

Visit productView on Hacker NewsJul 7, 2022
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, 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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting
63%63% 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
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
43%43% 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
42%42% 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, 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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