-
@ e7bf8dad:839ef3db
2025-02-27 05:30:51
Block 885516
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-27 05:30:51
Block 885516
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
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@ f03df3d4:a4d4f676
2025-02-27 05:30:51
Block 885516
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 05:25:51
Block 885515
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ df3b8a38:40ca8150
2025-02-27 05:24:16
GN frens... 🧸🥱
-
@ e7bf8dad:839ef3db
2025-02-27 05:20:51
Block 885515
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 05:20:51
Block 885515
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 05:15:51
Block 885514
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 05:10:51
Block 885513
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 05:10:51
Block 885513
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 05:05:51
Block 885513
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 05:00:51
Block 885513
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-27 05:00:51
Block 885513
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 1ae011cb:1257a556
2025-02-27 05:00:51
Block 885513
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 05:00:51
Block 885513
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:55:51
Block 885511
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ ac5c59bc:9afde5b2
2025-02-27 04:54:34
Gun Morning frens...
84711 USD for one #Bitcoin
Coffee time ☕
-
@ e7bf8dad:839ef3db
2025-02-27 04:50:51
Block 885511
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:50:51
Block 885511
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:45:58
Block 885511
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:40:51
Block 885511
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 04:40:51
Block 885511
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:35:51
Block 885509
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 04:30:51
Block 885509
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:30:51
Block 885509
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-27 04:30:51
Block 885509
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 958b754a:5c39e88c
2025-02-27 04:29:14
issaa shitpost fren
-
@ f03df3d4:a4d4f676
2025-02-27 04:25:51
Block 885507
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:20:51
Block 885506
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 04:20:51
Block 885506
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:15:51
Block 885506
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:10:51
Block 885505
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 04:10:51
Block 885505
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 32e18276:5c68e245
2025-02-27 04:09:23
if this isn't a porn category it should be
-
@ f03df3d4:a4d4f676
2025-02-27 04:05:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 45f195cf:3cab7627
2025-02-27 04:04:16
You’re a kinky mofo 😂
-
@ 1ae011cb:1257a556
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-27 04:00:51
Block 885504
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 958b754a:5c39e88c
2025-02-27 03:59:58
it’s fun to tell the big tiddy goth girl that I have mommy issues so she’ll let me cry on her chest
-
@ f03df3d4:a4d4f676
2025-02-27 03:55:51
Block 885503
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 32e18276:5c68e245
2025-02-27 03:55:48
lap dances usually end up being a good but expensive convo. not that different from therapy really
-
@ f03df3d4:a4d4f676
2025-02-27 03:50:51
Block 885502
7 - high priority
6 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 03:50:51
Block 885502
7 - high priority
6 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 5e2852e7:fd8d145c
2025-02-27 03:46:47
current training code
//
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import argparse
import hashlib
import random
import os
class NeuralNetwork(nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__()
self.layer1 = nn.Linear(256, 2048)
self.layer2 = nn.Linear(2048, 2048)
self.layer3 = nn.Linear(2048, 2048)
self.layer4 = nn.Linear(2048, 2048)
self.layer5 = nn.Linear(2048, 2048)
self.output_layer = nn.Linear(2048, 256)
def forward(self, x):
x = torch.relu(self.layer1(x))
x = torch.relu(self.layer2(x))
x = torch.relu(self.layer3(x))
x = torch.relu(self.layer4(x))
x = torch.relu(self.layer5(x))
x = torch.sigmoid(self.output_layer(x))
return x
def train_model(model, X_train, y_train, epochs=10, batch_size=300, save_path='model_weights.pth'):
criterion = nn.MSELoss()
optimizer = optim.Adam(model.parameters())
X_train_tensor = torch.tensor(X_train, dtype=torch.float32).cuda()
y_train_tensor = torch.tensor(y_train, dtype=torch.float32).cuda()
for epoch in range(epochs):
permutation = torch.randperm(X_train_tensor.size()[0])
total_loss = 0
for i in range(0, X_train_tensor.size()[0], batch_size):
indices = permutation[i:i + batch_size]
batch_x, batch_y = X_train_tensor[indices], y_train_tensor[indices]
optimizer.zero_grad()
outputs = model(batch_x)
loss = criterion(outputs, batch_y)
loss.backward()
optimizer.step()
total_loss += loss.item() * len(indices)
average_loss = total_loss / len(X_train_tensor)
print(f'Epoch [{epoch+1}/{epochs}], Loss: {average_loss:.4f}')
torch.save(model.state_dict(), save_path)
print(f"Model weights saved to {save_path}")
def train(args):
random_numbers = [random.randint(0, 2**256) for _ in range(args.num_samples)]
random_numbers_bitlists = []
hashes = []
inputs = []
try:
os.remove("trainingdata")
except OSError:
pass
print("generating samples")
#with open("trainingdata", "a") as samplesfile:
for idx, number in enumerate(random_numbers):
print(idx)
number_bit_list = [int((number >> i) & 1) for i in range(256)]
random_numbers_bitlists.append(number_bit_list)
#number_bytes = number.to_bytes(32, byteorder='big')
#digest = hashlib.sha256(number_bytes).digest()
#hashint = int.from_bytes(digest, byteorder='big')
hashint = number + 1
bit_list = [int((hashint >> i) & 1) for i in range(256)]
#samplesfile.write(f"{hex(hashint)[2:]} {hex(number)[2:]}\n")
inputs.append(bit_list)
X_train = np.array(inputs, dtype=np.uint8)
y_train = np.array(random_numbers_bitlists, dtype=np.uint8)
model = NeuralNetwork()
save_path='model_weights.pth'
if os.path.exists(save_path):
print("loading existing model weights")
model.load_state_dict(torch.load(save_path))
model.cuda()
print("training model")
train_model(model, X_train, y_train, epochs=args.num_epochs, save_path=save_path)
def process_infer_input(input_string):
if len(input_string) == 64:
binary_values = []
for i in range(0, 64, 2):
hex_pair = input_string[i:i+2]
decimal_value = int(hex_pair, 16)
binary_representation = format(decimal_value, '08b')
binary_values.extend([int(char) for char in binary_representation])
return np.array(binary_values).reshape(1, -1)
else:
binary_values = [int(char) for char in input_string]
return np.array(binary_values).reshape(1, -1)
def count_same_bits(a, b):
xor_result = a ^ b
same_bits_count = bin(xor_result).count('0')
return same_bits_count
def infer(args):
inputbinstr = ""
if len(args.input) == 64:
binary_values = []
for i in range(0, 64, 2):
hex_pair = args.input[i:i+2]
decimal_value = int(hex_pair, 16)
inputbinstr += format(decimal_value, '08b')
elif len(args.input) == 256:
inputbinstr = args.input
else:
print("input must be 256 bit value as hex or binary string")
return
X_test = process_infer_input(inputbinstr)
X_test_tensor = torch.tensor(X_test, dtype=torch.float32).cuda()
model = NeuralNetwork().cuda()
model.load_state_dict(torch.load('model_weights.pth'))
model.eval()
with torch.no_grad():
predictions = model(X_test_tensor)
#print("predictions.numpy()", predictions.numpy())
roundedpredictions = np.round(predictions.cpu().numpy())
#print("roundedpredictions", roundedpredictions)
binstr = ''.join(map(str, roundedpredictions.flatten().astype(int)))
bitdiff = (int(inputbinstr, 2) ^ int(binstr, 2)).bit_count()
print(f"ibin:", inputbinstr)
print(f"obin:", binstr)
print(f"bitdiff: {bitdiff}")
print(f"ohex: {hex(int(binstr, 2))[2:]}")
def main():
parser = argparse.ArgumentParser(description='Train or infer with a neural network.')
subparsers = parser.add_subparsers(dest='command')
train_parser = subparsers.add_parser('train', help='Train the model')
train_parser.add_argument('--num_samples', type=int, nargs='?', default=1000000, help='Number of samples to generate')
train_parser.add_argument('--num_epochs', type=int, nargs='?', default=2, help='Number of epochs to train')
train_parser.set_defaults(func=train)
infer_parser = subparsers.add_parser('infer', help='Infer with the model')
infer_parser.add_argument('input', type=str, help='Path to input data for inference')
infer_parser.set_defaults(func=infer)
args = parser.parse_args()
if 'func' in args:
args.func(args)
else:
parser.print_help()
if __name__ == "__main__":
main()
-
@ f03df3d4:a4d4f676
2025-02-27 03:45:51
Block 885502
7 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 03:40:51
Block 885502
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 03:40:51
Block 885502
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 03:35:51
Block 885502
6 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 9bebcb4e:36395485
2025-02-27 03:34:01
training stuck at loss 0.0334, adding more parameters
-
@ f03df3d4:a4d4f676
2025-02-27 03:30:51
Block 885502
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-27 03:30:51
Block 885502
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 03:30:51
Block 885502
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 03:25:51
Block 885502
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 159f1207:50bebf8c
2025-02-27 03:23:59
model size on disk is 14 MB
-
@ 48947049:b7d38af5
2025-02-27 03:21:50
not yet predicting correctly, but its positioning output bits similarly.
Loss: 0.0578
python program.py infer 00000000000000000000000000000000000000777777000000000000006000ee
ibin: 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001110111011101110111011100000000000000000000000000000000000000000000000000000000011000000000000011101110
obin: 1111000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010110000001110001011000000000000000000000000000000000000000000000000000000000001000000000000001000100
bitdiff: 18
-
@ ea14b4c2:09c3d767
2025-02-27 03:21:27
not yet predicting correctly, but its positioning output bits similarly.
Loss: 0.0578
python program.py infer 00000000000000000000000000000000000000777777000000000000006000ee
ibin: 0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001110111011101110111011100000000000000000000000000000000000000000000000000000000011000000000000011101110
obin: 1111000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000010110000001110001011000000000000000000000000000000000000000000000000000000000001000000000000001000100
bitdiff: 18
-
@ e7bf8dad:839ef3db
2025-02-27 03:20:51
Block 885502
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 03:20:51
Block 885502
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 46070d37:ae4f8f31
2025-02-27 03:17:13
model shows signs of learning using following layers:
class NeuralNetwork(nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__()
self.layer1 = nn.Linear(256, 1024)
self.layer2 = nn.Linear(1024, 1024)
self.layer3 = nn.Linear(1024, 1024)
self.layer4 = nn.Linear(1024, 1024)
self.output_layer = nn.Linear(1024, 256)
def forward(self, x):
x = torch.relu(self.layer1(x))
x = torch.relu(self.layer2(x))
x = torch.relu(self.layer3(x))
x = torch.relu(self.layer4(x))
x = torch.sigmoid(self.output_layer(x))
return x
-
@ f03df3d4:a4d4f676
2025-02-27 03:15:51
Block 885500
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 03:10:51
Block 885499
6 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 03:10:51
Block 885499
6 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 6389be64:ef439d32
2025-02-27 03:09:31
A good night. https://image.nostr.build/973e4ac0a5a7fdb647d179ebba1afbce7fe8d81b04c342196427f52416d4ff64.jpg https://image.nostr.build/df0aec3c0cce49d8823ed0119029b115ddcfa03d95edaf7c245224fb9b36b554.jpg https://image.nostr.build/073c559b6ba2d95a89e670c741bd4f878ed27621b4a6b60e07b6d2de1058ac22.jpg
-
@ f03df3d4:a4d4f676
2025-02-27 03:05:51
Block 885499
5 - high priority
5 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 958b754a:5c39e88c
2025-02-27 03:03:33
i noticed after I posted some that they didn’t display.. I don’t think any social media works with this yet 👀 if you get it to work it would be the first https://image.nostr.build/37c1866310a32d1cff15ae6072aa0f965232a0da51090fe022e2347a34167334.jpg
-
@ f648d923:820d7bb9
2025-02-27 03:03:10
The Democratic Party of the U.S. relies on the Department of International Development to launder money, corrupt, waste U.S. taxpayers' money to engage in covid, engage in LGBTQ promotion, engage in BLM, and encourage Americans to engage in homosexuality.
Americans do not scold the Democratic Party.
Americans actually hate President Trump. Americans are stupid, too. many American people don't have the ability to think independently.
nostr:npub1jc0fcrufmr4phlp9uerv48yft0kqvyr8yr54ausy3c9254a08utsxrp9mh
-
@ f03df3d4:a4d4f676
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 1ae011cb:1257a556
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-27 03:00:51
Block 885499
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ 958b754a:5c39e88c
2025-02-27 02:59:15
my new fav emoji to send to normie frens asking me if they should sell now https://image.nostr.build/0f71b84e4e0cbd791c63d6912da8b477b850779ab4c5f1c2d997799154cc2ef9.jpg
-
@ 5de23b9a:d83005b3
2025-02-27 02:59:11
"Building Nostr is not just about creating a social network, but also building a free, open, and censorship-resistant ecosystem. Every relay we run, every line of code we write, and every zap we send is a step towards a more decentralized internet. Let's continue to contribute and grow together! ⚡" #BuildNostr #Decentralization #FreedomTech #Bitcoin #ZapLife #OpenProtocol #Plebchain
-
@ f03df3d4:a4d4f676
2025-02-27 02:55:51
Block 885498
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 02:50:51
Block 885497
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 02:50:51
Block 885497
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 02:45:51
Block 885495
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 02:40:51
Block 885495
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 02:40:51
Block 885495
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 02:35:51
Block 885493
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 02:30:51
Block 885493
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ cbab7074:f9f0bd61
2025-02-27 02:30:51
Block 885493
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 02:30:51
Block 885493
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 02:25:51
Block 885492
4 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ f03df3d4:a4d4f676
2025-02-27 02:20:51
Block 885489
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 02:20:51
Block 885489
7 - high priority
7 - medium priority
6 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool