Estimated User #9
75 IP addresses
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An IP address relates to the location of a user's computer or device, and a single person may have multiple IP addresses if they use different locations or networks. These IP addresses are grouped because they each submitted a fiction prompt longer than 30 characters that ended up in the same DBSCAN cluster—meaning the prompts are near-duplicates—from the same state (Pennsylvania). Groups are merged transitively—if A and B share a near-duplicate prompt cluster, and B and C share another, all three are grouped even if A and C never shared a prompt directly.
7c392ef86d38...
f483c1e4b456...
20d43ec32b8f...
43cd15c18392...
6c99a7806e84...
7268875c21fc...
a3bb55d60d7e...
c7d71cdc3065...
cc1f9b469281...
522aefb4ebe7...
8c2813e59b91...
5594d4744983...
d5a2c3a4157b...
722ae4670ab9...
d37b623c1690...
6ec880611817...
ce232d5b7121...
49a25f7bae7d...
ea4690e10a1e...
5d2158c612de...
9aa9982d08b4...
3347bf00f974...
500d2eb034ff...
7e12bba65b3a...
7dbaf3e2f1eb...
bbd6b44ef9bc...
46466469cb9d...
945da14b44d2...
d1b07bc720ff...
33e814e68923...
36937d6f4c07...
primary
c87111dedb0b...
06e0f8979c05...
a0781219c90a...
4b4982ca06c4...
bc269d9afec2...
fcc8ad7d3ac0...
e8d623d2f35f...
9bd8ebd15777...
0af74e09cf16...
e93e49d69e50...
57675acf7211...
80e1b5f25e3e...
fb7df434cea1...
10e283609da6...
efae98ec0596...
c1db1877cdc6...
59747390aea5...
8258f70c97a3...
65c5fd707338...
559a3e328e12...
5f2ae884d9e8...
68423237737b...
e8c6b67eb083...
0aa5328caf09...
22d6e9b3e680...
2b3d11717920...
e8dd8376c898...
8371c79ed7db...
dd271632e193...
547f1b7a1d72...
aa17c55cc3bd...
f2ab586651d0...
cf881f3cce34...
8fcc5d302cc9...
c4d624e2d13b...
c5952143f6b9...
7c168b3f29be...
f0e5da64fd39...
c27b0cb8bb0b...
ec6b420eb6c0...
608e318c2aec...
68eecaa3ea37...
2929ba2388fe...
fd421ce5f151...
Why these IPs were linked — 34 shared prompt clusters
Each row is a DBSCAN cluster of near-duplicate prompts (cosine similarity ≥ 0.9) that two or more of these IPs each contributed at least one conversation to. A cluster usually contains many slightly-varied versions of the same scenario, not a single exact prompt — we show up to 5 distinct samples per cluster so you can see the range. Linking events are sorted by the number of IPs they connect.
7681
43cd15c183…×108,
522aefb4eb…×86,
a3bb55d60d…×65,
d5a2c3a415…×60,
c7d71cdc30…×34,
5d2158c612…×33,
8c2813e59b…×28,
7268875c21…×26,
500d2eb034…×23,
9aa9982d08…×20,
3347bf00f9…×20,
945da14b44…×19,
46466469cb…×14,
f483c1e4b4…×8,
9bd8ebd157…×7,
e93e49d69e…×7,
ea4690e10a…×5,
22d6e9b3e6…×3,
559a3e328e…×3,
d37b623c16…×2,
bbd6b44ef9…×2,
68eecaa3ea…×1,
2929ba2388…×1,
59747390ae…×1,
ec6b420eb6…×1
2420
7c392ef86d…×136,
8258f70c97…×4,
2b3d117179…×2,
aa17c55cc3…×2,
f2ab586651…×2,
c4d624e2d1…×1
5286
722ae4670a…×41,
ce232d5b71…×20,
65c5fd7073…×4,
8371c79ed7…×2,
608e318c2a…×1,
547f1b7a1d…×1
15616
cc1f9b4692…×79,
d37b623c16…×53,
36937d6f4c…×15,
e8d623d2f3…×9,
80e1b5f25e…×6
15777
f483c1e4b4…×66,
d1b07bc720…×16,
efae98ec05…×5,
6842323773…×3,
ea4690e10a…×2
5154
49a25f7bae…×48,
ce232d5b71…×38,
e8dd8376c8…×2,
722ae4670a…×2,
547f1b7a1d…×1
394
e8c6b67eb0…×3,
7c392ef86d…×2,
6c99a7806e…×2,
8fcc5d302c…×1,
9aa9982d08…×1
15280
8c2813e59b…×55,
c7d71cdc30…×40,
ea4690e10a…×23,
c87111dedb…×12
2717
20d43ec32b…×28,
7c392ef86d…×23,
4b4982ca06…×1,
c27b0cb8bb…×1
14673
7268875c21…×36,
6ec8806118…×8,
fb7df434ce…×5,
5f2ae884d9…×3
6785
6c99a7806e…×33,
0af74e09cf…×7,
0aa5328caf…×3,
7c168b3f29…×1
14664
9aa9982d08…×6,
d5a2c3a415…×5,
c7d71cdc30…×2,
46466469cb…×1
1841
7c392ef86d…×199,
57675acf72…×6,
a0781219c9…×1
13795
722ae4670a…×28,
7e12bba65b…×22,
c1db1877cd…×2
15752
33e814e689…×15,
f483c1e4b4…×6,
dd271632e1…×1
14519
06e0f8979c…×12,
a0781219c9…×8,
7268875c21…×1
15524
bc269d9afe…×10,
43cd15c183…×8,
59747390ae…×3
14446
5594d47449…×12,
7268875c21…×2,
9aa9982d08…×1
15629
cc1f9b4692…×12,
cf881f3cce…×1,
d37b623c16…×1
4542
20d43ec32b…×148,
49a25f7bae…×7
12573
7c392ef86d…×145,
c5952143f6…×1
15727
f483c1e4b4…×60,
fd421ce5f1…×1
15419
43cd15c183…×39,
c7d71cdc30…×10
14474
5594d47449…×25,
10e283609d…×5
14648
7268875c21…×21,
f0e5da64fd…×1
Explore Story Permutations (83)
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Story permutations group this user's prompts into themes based on how similar their wording or meaning is. Click a group to see how the user's prompts evolved: within a selected group, each prompt is shown as a word-level diff against the previous one — green marks text the user added, and red strike-through marks text they removed. This reveals how the user revised, expanded, or pruned their prompts as they iterated. Jump to methodology →