I Made Minecraft in 24 Hours Video
Can I make Minecraft in one day without the internet?
So I was bored and decided to bust out the good ol' unity game engine and see how just hard it would be to create the classic blocky voxel sandbox game. To make it interesting and really test my skills, I wasn't allowed to access any external resources/tutorials/code.
→ Download for some reason: https://trickshotlabs.itch.io/minecraft-ripoff
→ Download the source: https://github.com/samhogan/Minecraft-Unity3D
→ Twitter: https://twitter.com/SamHGames
-----MUSIC------
→ "Funky Monkey" & "Out of Pentatonic Scale" by Antti Luode
→ "Mirrorball" & "Emotional Wilderness" by https://www.purple-planet.com/
→ "Break Out" & "Blam" by DST - nosoapradio.us
I started off with basic terrain generation, using cube gameobjects arranged in a grid, whose heights are varied by a perlin noise function. This, however, led to not great performance, but luckily I knew of a way to significantly optimize things.
This was using terrain chunks - which is what the actual minecraft does as far as I can tell. This meant using voxel data to only build faces of blocks that are facing air blocks. And because the voxel data is 3D, it's possible to have much more interesting procedural terrain generation, like caves, overhangs, trees, etc.
It's super fun to play around with the different noise functions and see what type of terrain is generated. I ended up doing some simple stuff which looks pretty good: A base layer of simplex noise at a large scale + another layer at a smaller scale that is multiplied by yet another layer for terrain variety. This is the height map. Then 3D simplex noise cuts pieces out to create cave systems.
Procedurally generating trees and water were both a little tricky. For trees, I used a perlin noise value at each chunk coordinate to determine how many trees would be in each chunk. Then, a random number generator seeded with the chunk's coordinates was used to build the specific trees. This way, the exact same random numbers are produced each time for a specific chunk, and the same trees are generated.
Water had to form around the terrain, so you don't have weird stuff like finding water when you did straight down. What I ended up doing was creating a separate mesh for the water. To build it up, just loop through each xz coordinate in the chunk, for each starting at the max y position and move down through the voxel data, checking if land exists. If the water level is reached before the first land block, build a square at the water level.
There's some boring stuff cut out of the video, like optimization. I did things like add an object pool for reusing terrain chunks and add a timer to load chunks one at a time instead of all at once. The performance is still not great, which is mostly due to all the noise function calculations. This could probably be fixed with multithreading, but there's no way I could figure that out without internet help.
I finished this project off when an inventory, a skybox, and some graphical improvements. The total elapsed time from start to finish was about 14 hours, and the total time I spent actually working on it was around 11 hours. This was minecraft in 24 hours with #Unity3D.
---- Other Minecraft Programming Challenges ----
→ "Coding Minecraft in One Week - C++/OpenGL Programming Challenge" by Hopson - https://www.youtube.com/watch?v=Xq3isov6mZ8
→ "Minecraft in Unity 3D [Flashing Images] - One-Week Programming Challenge" by Shane Beck - https://www.youtube.com/watch?v=qdwUkYrHosk&t=884s
→ "Coding Minecraft in ONE DAY (Timelapse) | Unity3D" by TechBox - https://www.youtube.com/watch?v=MAdtV4rqyN0
→ "Creating Minecraft In 5 Days" - https://youtu.be/hJqIRYowfrQ
hey notch can I get my piece of that minecraft $ ???
About the Site 🌐
This site provides links to random videos hosted at YouTube, with the emphasis on random. 🎥
Origins of the Idea 🌱
The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. 🧠
Challenges Faced 🤔
Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.
Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. 🔍
Creating Truly Random Links 🛠️
The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.
About YouTube 📺
YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. 🌟
Content and Users 🎵
Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.
While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.
Monetization and Impact 🤑
YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. 📈
List of ours generators⚡
Random YouTube Videos Generator
Random Film and Animation Video Generator
Random Autos and Vehicles Video Generator
Random Pets and Animals Video Generator
Random Travel and Events Video Generator
Random People and Blogs Video Generator
Random Entertainment Video Generator
Random News and Politics Video Generator
Random Howto and Style Video Generator
Random Education Video Generator