Long time lurker, first time poster.
I see alot of new people joining in, I'm gonna clear things up.
I still didn't get an answer, the question was not whether they are close or not, the question was what you guys would have done if you were suspecting some similar addresses are close to the key, scan the space between, avoid the space, etc. I don't have a 5090 and I randomly do random searches whenever I feel like it, so I'd appreciate your thoughts, and again, someone else talked about patterns, but however, based on your very own logic there's no way for any of you to believe (and so strongly) that those two are not or cannot be close, just saying.
Search the whole space buddy don't skip, there's no way of knowing if the key is right next to the address or at the far end of the space. The avalanche effect takes place, one small change in the input (i.e. the private key) will result in a completely different output (i.e. the address)
https://ieeexplore.ieee.org/document/9923931. But sure there's logical exclusions you can make like it's most likely not gonna be in 400000010000000000:40000001FFFFFFFFFF but you never know truly.
Prefix search mean nothing, we had a whole discussion on this already and there's still an on going one in the development area, it's just random search with extra steps but I can see it being good for lower end computers to jump around the large keyspace. Your best bet is to generate a starting point and scan sequentially:
here's a quick way to generate a 8-char prefix
import random
# Generate 8-char prefix
prefix = random.getrandbits(30) | (1 << 30)
# Generate range
addr_range = f"{prefix:0<18x}:{prefix:F<18x}"
print(addr_range)
output:
57e913510000000000:57e91351FFFFFFFFFF
In terms of puzzle 71 and puzzle 135 - 135 time complexity is O(sqrt(N)) due to pub exposure meaning its sqrt(2
135) so the complexity of 135 is 2
67.5There's plenty of programs you can use:
FixedPaul's:
https://github.com/FixedPaul/VanitySearch-BitcrackRCKangaroo:
https://github.com/RetiredC/RCKangarooKeyhunt:
https://github.com/manyunya/KeyHunt-CudaWanderingPhilosopher's:
https://github.com/WanderingPhilosopher/VanBitCrackenRandom2 (Not open-source)
BitCrack:
https://github.com/djmuratb/BitCrack2Cyclone:
https://github.com/Dookoo2/CycloneCUDACyclone:
https://github.com/Dookoo2/CUDACycloneTime to disappear and go fishing
