HighwayChicken and InterstellarChicken Source Released

Hacker News

If you need to animate objects moving along a network, you might find this useful. HighwayChicken demo video: https://youtu.be/8cCmt9XIgyg HighwayChicken Win32 executable: https://drive.google.com/file/d/1uRQ-EXwhdrDqHsK1pqpi9A7z4cEHfNz4 (standalone, no support files necessary) HighwayChicken Win32 executable zipped: https://drive.google.com/file/d/1rKvh9-ZHEYEo9fOkGWz2NpFtkNIDgKI3 HighwayChicken source code: https://drive.google.com/file/d/1FA3OwY7YydXgR_Bp8fd2948JI_UoRiET (Delphi 6) InterstellarChicken demo video: https://youtu.be/ZophovckhjA InterstellarChicken Win32 executable: https://drive.google.com/file/d/1S9p8z_PM0v9UNlFpwmJw8sEdsCOnkHN0 (standalone, no support files necessary) InterstellarChicken Win32 executable zipped: https://drive.google.com/file/d/1RVe6u_IBe8qZi0KSaAsuDjNDdU4Smj3Z InterstellarChicken source code: https://drive.google.com/file/d/14UWTiQCWH5wDt2TYyNaB_yzo3FGiDJyN (HighwayChicken with modified graphics)

Visit product View on Hacker NewsJan 24, 2023

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TrustMRRFits verified-revenue profile · Strong signals: video, google, way · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

48%48% 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 · Strong signals: google, code · Missing: mac, agents, macos

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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