Estimated User #41
132 IP addresses
▶
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 (Brandenburg). 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.
e22ded513052...
9266f6f0c4f5...
0a48bb460c09...
primary
b1d5bfc65181...
474cd2636b43...
555aaf556f1e...
9e5464d40723...
f823939f2b34...
a466cefb389d...
e53d053253e0...
397f97a72553...
ad0f8b22ea20...
5dad8209bd93...
109cf13f4cc4...
1e184e80d6ec...
297abd172f35...
550b5da0dbdf...
ef4b5dec712d...
87b6f3b68df4...
d93df9b59ede...
84673a0f44ac...
c81c1326944c...
a86f81c0b0af...
3e4915a63f74...
619954e71e4b...
ec9dba758f65...
9b386355485e...
fdad42b4f96f...
f53f3e947611...
c41b112aea89...
12fa2e0adb34...
1a5f23cf13d1...
82be10f92232...
a9b880f46791...
f7ca3615a2b9...
729c68e078a4...
a043c05e1515...
b087b13954e1...
198c1eaeb607...
a192b083c003...
ac3b4fa8c122...
88b7a150d9e5...
e14b2aa19f1f...
0ed1bbf9d6ad...
6f8a10107663...
167b40b9f4dd...
aa532e34212f...
0079db6fcc18...
f8a2da76d93c...
a1a9a4d29ffa...
b986ede946d2...
4fa6c4100872...
1eb1eb8dbfbf...
9ec94ceeee34...
7b4d8f9b1e00...
6c65dcf2ed3d...
a36b9159ce88...
91a31ec659a5...
f4dd0ac73b8a...
56d48a6c66fe...
8b80adb0c256...
e235ad47a012...
31cf69dd5f42...
c631b40bfb48...
1e8b70cf9084...
28ea7fb13d50...
fbbb15edd2e9...
7b4253291525...
bd817c06093a...
819a7f2ccc2d...
b924cdd32392...
7138847a1154...
2deac5b85fc2...
de4f0100c2d3...
4959b31a471e...
0fb24bbbd6f0...
1dfcc7321f70...
220a525013f5...
a2d238b5a41f...
dd7200e53d76...
6c813485b01f...
b59f4639cf99...
2a88463ded24...
e50bbe57315e...
07e0f35e66ff...
b8893629c2bf...
e39b07f55e3a...
502eb4fb676d...
7b4607df5c15...
739e35765c67...
1cfd3961b010...
9ba3c78c119e...
7c8526175fed...
f600814c6be5...
e87e42b97847...
520f16d26241...
986d01858f36...
ad324563e645...
b61552f8ee36...
ce169b6f33e0...
756b43b12373...
dd0f2aa432a7...
74d38cd7d717...
4134a96d7b5f...
698bb00dc82c...
b6987ca0be31...
aa08fbd0efa6...
b91e83703db1...
d8bf01b35fc4...
10ffa59db050...
e203499e6bb4...
373248125644...
b754c8c93289...
7567fac6f874...
81622e709e8f...
a0b7933c893d...
76544936ab98...
7820bd757016...
8f74481c2237...
b13351b162d8...
5f38f7c0f99c...
ef2cb46abd20...
03b6c10d166b...
44f259a9defd...
b9f45566ad83...
318154954266...
16f8e00740b9...
3fae1fb6f4cd...
c3e89a5cf3aa...
a5ebb5727942...
4026c1d28442...
85f3ee0b1ced...
Why these IPs were linked — 48 shared prompt clusters
Each row is a DBSCAN cluster of near-duplicate prompts that two or more of these IPs each contributed at least one conversation to. Linking events are sorted by the number of IPs they connect (so the strongest evidence is first).
12958
ec9dba758f…×3,
87b6f3b68d…×3,
619954e71e…×2,
0a48bb460c…×2,
84673a0f44…×2,
e53d053253…×2,
1eb1eb8dbf…×2,
a0b7933c89…×1,
aa08fbd0ef…×1,
1e184e80d6…×1,
4959b31a47…×1,
ac3b4fa8c1…×1,
03b6c10d16…×1,
297abd172f…×1,
82be10f922…×1,
6c813485b0…×1,
7820bd7570…×1,
e14b2aa19f…×1,
9ec94ceeee…×1,
a192b083c0…×1,
2deac5b85f…×1,
1a5f23cf13…×1,
8f74481c22…×1,
b924cdd323…×1,
f823939f2b…×1,
6f8a101076…×1,
756b43b123…×1,
0079db6fcc…×1,
56d48a6c66…×1,
e39b07f55e…×1,
b13351b162…×1,
9ba3c78c11…×1,
3e4915a63f…×1,
9266f6f0c4…×1,
d93df9b59e…×1,
a86f81c0b0…×1
11916
a36b9159ce…×3,
1e8b70cf90…×2,
109cf13f4c…×2,
729c68e078…×2,
739e35765c…×2,
1eb1eb8dbf…×1,
9ba3c78c11…×1,
0a48bb460c…×1,
e50bbe5731…×1,
986d01858f…×1,
ef2cb46abd…×1,
b8893629c2…×1,
a9b880f467…×1,
0ed1bbf9d6…×1,
1a5f23cf13…×1,
e87e42b978…×1,
1cfd3961b0…×1,
e53d053253…×1,
b91e83703d…×1,
f4dd0ac73b…×1,
31cf69dd5f…×1,
82be10f922…×1,
7567fac6f8…×1,
b1d5bfc651…×1,
555aaf556f…×1,
e203499e6b…×1,
698bb00dc8…×1,
e22ded5130…×1
2862
e22ded5130…×10,
550b5da0db…×7,
6f8a101076…×2,
ad0f8b22ea…×2,
8b80adb0c2…×2,
474cd2636b…×1,
1eb1eb8dbf…×1,
a043c05e15…×1,
7c8526175f…×1,
b8893629c2…×1,
619954e71e…×1,
ef4b5dec71…×1,
520f16d262…×1,
f8a2da76d9…×1,
87b6f3b68d…×1,
5f38f7c0f9…×1,
f7ca3615a2…×1,
b754c8c932…×1,
fdad42b4f9…×1,
f823939f2b…×1,
10ffa59db0…×1,
9b38635548…×1,
ac3b4fa8c1…×1,
a1a9a4d29f…×1,
555aaf556f…×1,
b986ede946…×1
3917
b1d5bfc651…×2,
ad0f8b22ea…×2,
1a5f23cf13…×1,
a2d238b5a4…×1,
f7ca3615a2…×1,
520f16d262…×1,
4026c1d284…×1,
d93df9b59e…×1,
bd817c0609…×1,
aa532e3421…×1,
88b7a150d9…×1,
10ffa59db0…×1,
3fae1fb6f4…×1,
555aaf556f…×1,
0fb24bbbd6…×1,
698bb00dc8…×1
10294
ad0f8b22ea…×2,
b1d5bfc651…×1,
f823939f2b…×1,
297abd172f…×1,
85f3ee0b1c…×1,
397f97a725…×1,
502eb4fb67…×1,
ac3b4fa8c1…×1,
b91e83703d…×1,
f8a2da76d9…×1,
109cf13f4c…×1,
f600814c6b…×1,
bd817c0609…×1,
6c65dcf2ed…×1
6070
f53f3e9476…×2,
28ea7fb13d…×2,
a9b880f467…×2,
1a5f23cf13…×1,
397f97a725…×1,
b986ede946…×1,
109cf13f4c…×1,
a5ebb57279…×1,
ac3b4fa8c1…×1,
c631b40bfb…×1,
88b7a150d9…×1,
5dad8209bd…×1,
e53d053253…×1
5115
b1d5bfc651…×2,
1a5f23cf13…×1,
0ed1bbf9d6…×1,
ad0f8b22ea…×1,
7b4d8f9b1e…×1,
397f97a725…×1,
4fa6c41008…×1,
44f259a9de…×1,
9b38635548…×1,
fdad42b4f9…×1,
0a48bb460c…×1,
474cd2636b…×1
3655
c81c132694…×6,
3e4915a63f…×5,
e53d053253…×4,
167b40b9f4…×3,
220a525013…×2,
dd0f2aa432…×1,
d8bf01b35f…×1,
b986ede946…×1,
109cf13f4c…×1,
a86f81c0b0…×1,
819a7f2ccc…×1
1389
198c1eaeb6…×3,
c41b112aea…×2,
e22ded5130…×2,
9ec94ceeee…×1,
5dad8209bd…×1,
1e8b70cf90…×1,
c3e89a5cf3…×1,
397f97a725…×1,
b087b13954…×1
3210
88b7a150d9…×1,
a192b083c0…×1,
1e184e80d6…×1,
56d48a6c66…×1,
91a31ec659…×1,
4959b31a47…×1,
dd0f2aa432…×1
4124
b6987ca0be…×1,
1dfcc7321f…×1,
ad0f8b22ea…×1,
167b40b9f4…×1,
474cd2636b…×1,
2deac5b85f…×1,
d93df9b59e…×1
11109
a9b880f467…×1,
1e184e80d6…×1,
2a88463ded…×1,
7b4607df5c…×1,
f4dd0ac73b…×1,
fbbb15edd2…×1,
109cf13f4c…×1
12846
c41b112aea…×1,
819a7f2ccc…×1,
1dfcc7321f…×1,
550b5da0db…×1,
e235ad47a0…×1,
ce169b6f33…×1
12866
f823939f2b…×4,
b087b13954…×4,
0a48bb460c…×2,
fdad42b4f9…×1,
74d38cd7d7…×1,
1e184e80d6…×1
5443
474cd2636b…×3,
b1d5bfc651…×1,
f53f3e9476…×1,
74d38cd7d7…×1,
9e5464d407…×1,
a043c05e15…×1
1145
0079db6fcc…×3,
3732481256…×2,
9ec94ceeee…×1,
7b42532915…×1,
474cd2636b…×1
3439
f53f3e9476…×1,
87b6f3b68d…×1,
6c65dcf2ed…×1,
31cf69dd5f…×1,
b924cdd323…×1
11079
c41b112aea…×2,
aa532e3421…×1,
4134a96d7b…×1,
f8a2da76d9…×1,
a36b9159ce…×1
11815
e14b2aa19f…×1,
474cd2636b…×1,
9b38635548…×1,
b61552f8ee…×1
11816
297abd172f…×1,
3e4915a63f…×1,
a2d238b5a4…×1,
502eb4fb67…×1
11814
5dad8209bd…×3,
12fa2e0adb…×1,
dd7200e53d…×1,
07e0f35e66…×1
2792
f7ca3615a2…×1,
f600814c6b…×1,
0fb24bbbd6…×1,
87b6f3b68d…×1
11082
297abd172f…×2,
9b38635548…×1,
81622e709e…×1,
4134a96d7b…×1
12959
a86f81c0b0…×2,
9266f6f0c4…×2,
ad324563e6…×1,
e22ded5130…×1
11940
0fb24bbbd6…×1,
b61552f8ee…×1,
0a48bb460c…×1,
7138847a11…×1
Explore Story Permutations (69)
▼
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 →