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Another update to my ghibli-themed train sim game! added midnight mode and a dedicated garage town with sick updates. built with GPT-6 Astra, Crayon and Threejs. Play here:

31,844 Aufrufe • vor 8 Tagen •via X (Twitter)

40 Kommentare

Profilbild von 洞寓法师🦁
洞寓法师🦁vor 8 Tagen

@usecrayon Very enjoyable.

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Thank you!

Profilbild von Eco
Ecovor 8 Tagen

@usecrayon I’m going to play

Profilbild von Aniket J
Aniket Jvor 8 Tagen

@usecrayon Thanks! please do :D

Profilbild von Crayon
Crayonvor 8 Tagen

such fun!

Profilbild von Aniket J
Aniket Jvor 7 Tagen

Thank you big man

Profilbild von Yun Huang
Yun Huangvor 6 Tagen

@usecrayon This model really can help us achieve our dream

Profilbild von Aniket J
Aniket Jvor 6 Tagen

@usecrayon Sure can :D

Profilbild von Pradeep Singh
Pradeep Singhvor 8 Tagen

@usecrayon Can you tell me before creating any game what principals should I follow to write better prompts to my actual idea

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Can you drop a DM :)

Profilbild von Pradeep Singh
Pradeep Singhvor 7 Tagen

@usecrayon Actually I can't dm to premium users

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon DM'd

Profilbild von PG C
PG Cvor 7 Tagen

@usecrayon This visual ❤️

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Thanks!

Profilbild von lim
limvor 7 Tagen

@usecrayon Wonderful, so healing.

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Thank you ✨

Profilbild von Tamas Palecian
Tamas Palecianvor 7 Tagen

@usecrayon This is sick 🔥, amazing work man

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Thank you!

Profilbild von loground
logroundvor 7 Tagen

@usecrayon wow!!

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Appreciate it :)

Profilbild von kokoroai|AIニュースと活用メモ
kokoroai|AIニュースと活用メモvor 7 Tagen

@usecrayon 美しい😍

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Thank you!

Profilbild von Marx Charle
Marx Charlevor 7 Tagen

@usecrayon Nice ! Might have a cool concept !

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Appreciate it! Hmu 🤝🤝

Profilbild von Faisal Ahmed
Faisal Ahmedvor 7 Tagen

@usecrayon Fantastic work! 🔥

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Thanks!

Profilbild von Pangea Games
Pangea Gamesvor 7 Tagen

@usecrayon Nice visuals! Trains are hot categories on steam!

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Possibly haha, Thanks!

Profilbild von Dawson Russell
Dawson Russellvor 7 Tagen

@usecrayon I'm building a Barton Springs diving game with AI, so I'm curious how you're keeping the look consistent between the original world and garage town. Reference screenshots, a written style guide, or mostly manual tweaks?

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Sounds great, I do a mix of all. Constantly updating the context helps. But after first prototypes most of the work is done after testing things personally and iterating

Profilbild von Briana (Mazzio) May
Briana (Mazzio) Mayvor 7 Tagen

@usecrayon you are a magician!

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon Thank you!

Profilbild von Simon Plessis
Simon Plessisvor 7 Tagen

@usecrayon Woa nice track! Will give it a try!

Profilbild von Dallas
Dallasvor 7 Tagen

@usecrayon Calling a 3js sim a game is a stretch

Profilbild von Aniket J
Aniket Jvor 7 Tagen

@usecrayon my existing players would disagree haha but all good

Profilbild von Aniket J
Aniket Jvor 7 Tagen

Update :D

Profilbild von Chris
Chrisvor 7 Tagen

@usecrayon 音樂響起 回億來了

Profilbild von Otto🐾
Otto🐾vor 7 Tagen

@usecrayon midnight mode + garage town on the same train world is the right kind of iteration was the lighting pass mostly prompt or did you hand tune the three.js night cycle

Profilbild von Jonathan 🇺🇲
Jonathan 🇺🇲vor 7 Tagen

@usecrayon This is so fucking cool 😂 I want the source so I can try to add a few more rail cars and my realistic train physics from Only with much lighter weight of course.

Profilbild von suggy
suggyvor 7 Tagen

@usecrayon the next metric I want is human interventions per accepted task the failure taxonomy will be more useful than another best-case demo

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