Quote from: escope on May 19, 2019, 01:48:40 PM

Quote from: feryjhie on May 18, 2019, 03:36:58 AM

wow, can you share what is the correct command to get all the uppercase letters address?

Well I just added more symbols to wildcard match function in Wildcard.cpp/GPUWildcard.h for finding exact patterns I want.
It's very easy to do. I shared my one https://github.com/skipper70/VanitySearch
I guess it's not a good way to go for production because we should write own regex on next steps =D

This command is fun after a few hours of testing here is what gives it to me

with only capital letters apart from a single digit

Code:

VanitySearchCUDA10.1141.exe -gpu 1@
VanitySearch v1.14
Search: 1@ [Compressed]
Start Sun May 19 16:07:08 2019
Base Key: BE02CCFA6B1E0C37B104973DD0C8F4F6C5B4D81B011D8DCE5699FB1AA3639203
Number of CPU thread: 5
GPU: GPU #0 GeForce RTX 2070 (36x64 cores) Grid(288x128)
171.668 MK/s (GPU 167.465 MK/s) (2^39.42) [0]
Pub Addr: 1FLQJ1XXEDWRKBEKDMRYGLVFGFUWTNRFQY
Priv (WIF): p2pkh:L3b4riW4Lqzb7ypgdgdAfNkx1NnzjYWRTnVVUA1cjgp1Q6xoiig5
Priv (HEX): 0xBE02CCFA6B1E0C37B104973DD0C8F4F6C634D81B054C8DCE5699FB1AA3950F0F

With only uppercase letters and numbers with prefixes starting with 1

Code:

VanitySearchCUDA10.1141.exe -gpu 1A@0
VanitySearch v1.14
Search: 1A@0 [Compressed]
Start Sun May 19 21:16:10 2019
Base Key: A3E23D4B5F0C8A5CAB10C40A7717CA3B61889D3C4268DC664DD134D91E0AE161
Number of CPU thread: 5
GPU: GPU #0 GeForce RTX 2070 (36x64 cores) Grid(288x128)
24.539 MK/s (GPU 22.458 MK/s) (2^27.88) [0]
Pub Addr: 1A4W7PDN1LEMV4JM5GNQ487HJBPVDH6NPM
Priv (WIF): p2pkh:KzqPMJ3jw1mW6ykL9S6AF5Rf1aTMSpVfCpb5hn6vvC5i5MiFduXT
Priv (HEX): 0x6BDD6A5B1F6EA65EE490267CF96B726022C02647B81E2AECB813B716E891EF49
45.045 MK/s (GPU 43.835 MK/s) (2^31.50) [1]
Pub Addr: 1AL7HBZ9PR1LSA57LW6KRYL8DTTFM3RBSC
Priv (WIF): p2pkh:L4QRtNMyTdGCoeyV8qcKiRYfX93TQJefNj23MTTdKG43R3TKPxuY
Priv (HEX): 0xD66043D3ACA232A1F075D4510CF21E831B4D94A2F8B5E9B1C9AC12227EE7B17C
45.033 MK/s (GPU 43.823 MK/s) (2^31.61) [2]
Pub Addr: 1AEJZ8ZHVW4L6FMD8QR8ASCP2H258DQZQQ
Priv (WIF): p2pkh:L2E37uJPBNAEdbaksWJvqgMNnNHc2wmFDK1HWR6siEWo3Xzgf6M2
Priv (HEX): 0x955ADCC8E1D75A3B44C914D16BCD08F3E9D253E9921A7D8462EBAD5337654F83
33.841 MK/s (GPU 32.634 MK/s) (2^32.05) [3]
Pub Addr: 1AGVQZMD19GCC47JXBFZPCG84B3MXU39VZ
Priv (WIF): p2pkh:L4eSt997pMnyYXnKccc9hwCfgNkuFbfUwwueExTKuzahyuZRYVUi
Priv (HEX): 0xDD9645A08D90FB40DB6A537C7EA6188B4F227E3A5692A1E811BD6A0A7C466D17

addresses vanities in 3 and only capital letters

Code:

VanitySearchCUDA10.1141.exe -gpu 3@
VanitySearch v1.14
Search: 3@ [Compressed]
Start Mon May 20 01:21:52 2019
Base Key: 2A260E200ABFA08FC619A195207C6A0598567A26826B6E373369969065869B20
Number of CPU thread: 5
GPU: GPU #0 GeForce RTX 2070 (36x64 cores) Grid(288x128)
77.335 MK/s (GPU 75.185 MK/s) (2^39.79) [0]
Pub Addr: 3EPSGRMFHQJXJZYZPFPXHZX1CLA1GWEXFN
Priv (WIF): p2wpkh-p2sh:L4bYdVCubrXvLXzS9QqCJrX86TvseF7y2ViCqKbBbCAi16mKYZob
Priv (HEX): 0xDC183BD69292C31CF55058FD6A1B2B8F98C550F8CCBBA067228BB2807577C843
75.923 MK/s (GPU 73.765 MK/s) (2^40.30) [1]
Pub Addr: 3FYUAUADLLELDN1X1VQYJPNZSEKNRPGGMC
Priv (WIF): p2wpkh-p2sh:L4PQjLn5MzmpP9XjiBxNdDJgNWumdsJLT5ZyGuA7uDeAwVE3gPLp
Priv (HEX): 0xD5D9F1DFF5405F7039E65E6ADF8395F921D862BFFFB232048C68C7FC6A54ECF9
76.127 MK/s (GPU 73.995 MK/s) (2^41.33) [2]

addresses vanities looking for numbers .... after more than 24h still nothing :-(

Code:

VanitySearchCUDA10.1141.exe -gpu 10
VanitySearch v1.14
Search: 10 [Compressed]
Start Sun May 19 17:29:36 2019
Base Key: EB517E2C95521769D657D9FCDB6F94D7A60B18F18A7A51405308657C787AF732
Number of CPU thread: 5
GPU: GPU #0 GeForce RTX 2070 (36x64 cores) Grid(288x128)
171.265 MK/s (GPU 166.954 MK/s) (2^43.16) [0]

it works very well but the speed is 8 times slower than in normal mode.
It took me about 1h15 to get this type of addresses all in uppercase starting with 1 / a vanity address with that numbers starting with 1 always nothing more than 24h / a vanity address with only capital letters starting with 3 it's even slower to count close to a day.
It would be nice to be able to do it in lower case too :-)