-
@ f03df3d4:a4d4f676
2025-02-27 05:40:51
Block 885517
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ e7bf8dad:839ef3db
2025-02-27 05:40:51
Block 885517
5 - high priority
4 - medium priority
4 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ 508cdbf6:8f717552
2025-02-27 05:36:04
alternate take: my happiness increased immeasurably when i decided to change my mind about the world. 🌎✌️
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@ f03df3d4:a4d4f676
2025-02-27 05:35:51
Block 885517
3 - high priority
3 - medium priority
3 - low priority
3 - no priority
2 - purging
#bitcoinfees #mempool
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@ f648d923:820d7bb9
2025-02-27 05:35:42
川普老头对俄乌战争策路是这样，现实版本《纸牌屋》游戏。
美国要甩掉每日烧钱2.2亿美元的战争包袱，把省下的军费变成竞选弹药；
二是攫取乌克兰稀土命脉，既卡住中俄咽喉又喂饱军火商；
三是导演‘联俄抗中’战略大戏，复制半个世纪前尼克松的冷战剧本。至于乌克兰🇺🇦总统泽连斯基签不签字？
在川普眼里不过是场行为艺术。协议墨迹未干，他就能把签字照P成金色胜利海报，让MAGA们在超市鸡蛋涨到1美元时继续颅内高潮。哈哈哈😆
最绝的是这套组合拳把欧洲坑进地缘政治死胡同：冯德莱恩抱着60亿欧元军援冲到基辅，转头发现特朗普和普京已在沙特秘密对表。
当马克龙叫嚣派兵时，川普反手把欧盟踢出矿产分赃局，活脱脱现实版《纸牌屋》。只不过这次，乌克兰成了赌桌上最昂贵的筹码。哈哈哈哈哈😂
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@ 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
-
@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 958b754a:5c39e88c
2025-02-27 04:29:14
issaa shitpost fren
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ 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
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@ f03df3d4:a4d4f676
2025-02-27 02:15:51
Block 885489
7 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ f03df3d4:a4d4f676
2025-02-27 02:10:51
Block 885489
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ e7bf8dad:839ef3db
2025-02-27 02:10:51
Block 885489
6 - high priority
6 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ f03df3d4:a4d4f676
2025-02-27 02:05:51
Block 885489
6 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ f648d923:820d7bb9
2025-02-27 02:05:23
I think truth social, joining the Nostr client is a good thing. Win-win cooperation.
After all, old Trump 👴is the current president of the U.S.
It can enhance the popularity of #Nostr.
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@ cbab7074:f9f0bd61
2025-02-27 02:00:51
Block 885489
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
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@ f03df3d4:a4d4f676
2025-02-27 02:00:51
Block 885489
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool
-
@ e7bf8dad:839ef3db
2025-02-27 02:00:51
Block 885489
5 - high priority
5 - medium priority
5 - low priority
4 - no priority
2 - purging
#bitcoinfees #mempool