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TN method (new method for 3x3 speedsolving ?)

TuanNgoTN

Member
Joined
May 30, 2025
Messages
41
Location
VietNam
Hi everyone, I'm Tuan and I created the TN method.
TN (short for Tuan Ngo) is a 3x3 speedsolving method proposed by Ngô Anh Tuấn in 2025. It is inspired by ZZ-CT and is a two-look LSLL method like ZB, divided into TNLS and TNLL.

Here is the video introducing the TN method and the Speedsolving.com page:

I hope you support my channel so that I can make more detailed TN method tutorial videos and example solves.
 
Hi everyone, I'm Tuan and I created the TN method.
TN (short for Tuan Ngo) is a 3x3 speedsolving method proposed by Ngô Anh Tuấn in 2025. It is inspired by ZZ-CT and is a two-look LSLL method like ZB, divided into TNLS and TNLL.

Here is the video introducing the TN method and the Speedsolving.com page:

I hope you support my channel so that I can make more detailed TN method tutorial videos and example solves.
Have you generated and documented all the TNLS algs/cases?
 
Have you generated and documented all the TNLS algs/cases?
Of course I have the algs file of TN method (903 algs). But wait until more people know about TN method, then I will make a video tutorial, then publish the file later. Because if there is no tutorial, only looking at the algs, it is difficult to know how to use.
 
The algorithms with F2L corner in slot (what you call TNLL I and Im) are truly truly awful. You will need to avoid those cases to make the variant anywhere near viable. (You will likely converge on something resembling ZZ-CT* which is already developed.)
 
The algorithms with F2L corner in slot (what you call TNLL I and Im) are truly truly awful. You will need to avoid those cases to make the variant anywhere near viable. (You will likely converge on something resembling ZZ-CT* which is already developed.)
The number of cases of TNLS will be a lot (1000+ algs) if you want to avoid TNLL I and Im. ZZ-CT was developed for ZZ while TN was developed for CFOP.
 
The number of cases of TNLS will be a lot (1000+ algs) if you want to avoid TNLL I and Im.
Yeah. I'm essentially trying to explain that the method isn't viable in its current form.
ZZ-CT was developed for ZZ while TN was developed for CFOP.
That's a setback for reasons discussed (it's practically infeasible to avoid TNLL I and Im, and yet they are awful algorithm sets)
 
But TN method is for CFOP user, not ZZ user. Because TN method need not the EO step like ZZ method. Also, TN method has not only TNLL + and -, but also I and Im subsets.
o,+,-, I, Im have all been genned for CT and C++. They are all in the zz discord. just go look.
 
Yeah. I'm essentially trying to explain that the method isn't viable in its current form.

That's a setback for reasons discussed (it's practically infeasible to avoid TNLL I and Im, and yet they are awful algorithm sets)
Thanks for your comment, but it's not a big problem. Because each subset of TNLL has the same number of algs as 72 cases, but the probability of TNLL I and Im appearing is only about 19.5%. Most TNLL will appear TNLL O, +, -.

Currently, I have learned over 90% of the algs of TN method and I use it quite proficiently.
 
Currently, I have learned over 90% of the algs of TN method and I use it quite proficiently.
Could you share the algorithms for TNLL I and Im? I have attempted generating them a couple years ago, and I found that they were terrible. I would be very surprised if they turned out to be even decent.

1/5 is significant if the algorithms are terrible. And it's not like TNLL O/+/- (i.e. TTLL, TTLL+, TTLL-) are good either--only slightly less bad
 
Could you share the algorithms for TNLL I and Im? I have attempted generating them a couple years ago, and I found that they were terrible. I would be very surprised if they turned out to be even decent.

1/5 is significant if the algorithms are terrible. And it's not like TNLL O/+/- (i.e. TTLL, TTLL+, TTLL-) are good either--only slightly less bad
Of course, I will do a TN method tutorial on my youtube channel soon, at that time I will publish all 903 algs of TN method (Including TNLL I and Im).
 
my purpose is just to let more people know about TN method and i can contribute something to the cubing community.
Many people still learn algs or methods on youtube.
People are not going to be learning 900 algorithms from youtube videos. The most important part of introducing a new method to the community is to share the algorithms so that people can get a feel for the method. Anyone can just make up a method on a whim; the biggest contribution is sharing algorithms, since that is the bulk of the work in developing methods.
 
People are not going to be learning 900 algorithms from youtube videos. The most important part of introducing a new method to the community is to share the algorithms so that people can get a feel for the method. Anyone can just make up a method on a whim; the biggest contribution is sharing algorithms, since that is the bulk of the work in developing methods.
I am not forcing anyone to learn 903 algs on my video. The purpose of my TN method tutorial video is to let people understand how TN method works, how to understand and use my algs file.
 
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