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I was able to run tiberian sun on cncnet on an M4 MacBook Pro
Hacker NewsI was able to run tiberian sun on cncnet on an M4 MacBook Pro
As the title says I was able to run cncnet on a macbook pro with m4 processor. I set GPT 5.6 sol on this and it figured it out. So excited to be able to play one of my childhood games! Enjoy! Everything is build using GPT 5.6 sol btw. I didn't do anything other than testing and prompting.
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Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, using · Missing: agents, macos, agent79%79% 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.
Hacker NewsStrong engagement from HN community · Strong signals: excited · Missing: https docs, just released, exist55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting55%55% 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, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% 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, revenue21%21% 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, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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