Yeah, that’s all you have to do. Since it’s browser based, the OS doesn’t matter. Depending on your sensitivity, you may feel it working now, or it may take some time for the energy to build up.
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@Frank_Is_Not_My_Name @AnthroTeacher Ok, thanks for confirming my questions. I let it run for 10 mins but didn’t feel much.
So, the idea behind this is that my intentions are being repeated x times within that 10 minute period and should bring manifestations faster… is that correct?
Edit: Also, what is your recommendation on doing this per day? 1x or 2x or more?
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So which one is the strongest pre-compiled (exe) version for Windows? Max or Max_cuda?
Damn okay lol I’ll have to stick to this version then, If i feel extra motivated I’ll try out the Google collab version, thanks bro
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IR Max Cuda is faster, but you need an Nvidia gaming card to run it. If you have one, use that. If you don’t, use IR Max instead. Both are still VERY strong.
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Maybe I’ll try browser version
Is there any way to be sure it starts?
There is a timer on the site that shows you how long it’s running
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Thank you all for helping others with the Repeater. I didn’t notice these posts before.
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Whoa… my intention for those 10 minutes. 
Intention Repeated 612,000,000 times.
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To try out the Google Colab version, these are the steps:
- go to https://colab.research.google.com
- click the GitHub tab
- Paste in this link, hit search, and select the file that comes up
https://github.com/tsweet77/repeater-max-cuda/blob/main/Repeater_MAX_CUDA.ipynb - You’ll see a new page load with a lot of code, broken up into sections. You need to “play” each section one at a time (or use the Menu bar to ‘run all’) to prep the system.
- The last command will execute the IntentionRepeater and run it for 1 second as a test.
If the test was successful, then feel free to modify the duration and intention to whatever you’d like and “play” that section again. If you want to change the power level, change the --imem parameter - smaller numbers means less power, but the default value is a generally safe number for most people.
@SorcerySupreme, didn’t mean to hijack your thread…
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Kind of. Think of it as an intention magnifier. Everything is all about intention, right? Well, this plugs your intentions into a very powerful wall outlet. If your intention is to manifest something, this will magnify that. If your intention is to feel a certain way, that also gets magnified. It’s flexible.
On whatever timeline you see fit that feels good to you.
Seems like a lot, but the IR Max running for 10 minutes would have repeated your intention about 120,000,000,000,000,000,000,000 times, and full strength IR Max CUDA would have been about 420,000,000,000,000,000,000,000,000 times.
That’s why I say they’re so powerful. Think about you stating your intention one time as a small bit of energy, about the size of a drop of water. Not much to a single drop, but 120,000,000,000,000,000,000,000 drops? Hello tsunami of intention.
EDIT: Fixed my bad math.
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Is there a pre-compiled version for 64-bit Windows?
Yes, those pre-complied versions should already be 64-bit .exes. They have to be due to the extremely large number sets involved. I edited my post above to include links to the pre-compiled versions.
Google Colab actually runs the MAX_CUDA version and is the most powerful.
If you have Nvidia card, then MAX_CUDA is the most powerful.
But I couldn’t get it to compile with the libraries, so I can’t be sure it will work if you don’t have Visual Studio and the CUDA Toolkit. If you can’t do all that, and want power, the Google Colab is probably easier and more powerful.
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https://github.com/tsweet77/repeater-max/blob/main/intention_repeater_max_3.3.exe
I downloaded this on to my Windows 64-bit and got a message “Cannot run due to incompatibility with 64-bit windows”.
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Yes, it’s probably because it’s missing the libraries. The compiler flags gave me errors.
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He’d need the MinGW-W64 compiler then, right? That should supply the missing libraries?
try this:
v3.1+ requires this:
A) Install MinGW-W64:
With these Options:
Version: 8.1.0
Architecture: x86_64
Threads: win32
Exception: seh
Build revision: 0B) Add this to your PATH (both user and system): C:\Program Files\mingw-w64\x86_64-8.1.0-win32-seh-rt_v6-rev0\mingw64\bin
Directions here: https://www.architectryan.com/2018/03/17/add-to-the-path-on-windows-10/
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Yeah. What were the compiler flags you used again?
You might also have to add the path to the libraries in Windows.
If I can get it to compile with libraries, I’ll put that version on my gitHub.
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The ones that Vandark came up with, hopefully he can help figure out the required libraries for the updated versions. Can you help us out here @Vandark?
Sweet, that’d be great.
I don’t think I’ll be able to compile the MAX CUDA with libraries though, because that requires a new video driver as far as I’m aware. The driver that comes with the CUDA Toolkit.