Estimated User #1
39 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 (Michigan). 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.
cbbbb1787dc8...
f96c8515aa66...
192327bac2b4...
c1710be6c463...
b166a1d5619e...
8002549b2cc8...
primary
9ccc72f2c308...
e5c25ca3c5d9...
248459f4e815...
352022c64536...
5baf183a9407...
2e167c53bf99...
d93826dfe375...
4dea07bd85ed...
8c7fbf8d24f1...
2b97fd3bea7b...
bbd0884147fe...
a7bafab2526d...
a66fd333061b...
3cb5463cabca...
e0638ecf9c7c...
089eb830dc7f...
076c9c894ac9...
b6344630cb30...
5e6c9e68d9e1...
355510b39827...
1fcfd738aaec...
c721cb59aaf0...
acd5273eb5f7...
e98ff862b8c1...
5a969f23586c...
55da9da19f4b...
7ada887cfc11...
f98708556a2a...
6c7b7d383cb2...
20dd938834f9...
036b7511efc7...
f9eb94c8283a...
258c9a868064...
Why these IPs were linked — 43 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.
10281
192327bac2…×814,
c1710be6c4…×738,
f96c8515aa…×637,
cbbbb1787d…×580,
8002549b2c…×485,
2e167c53bf…×355,
e5c25ca3c5…×328,
2b97fd3bea…×317,
352022c645…×310,
5baf183a94…×292,
248459f4e8…×272,
8c7fbf8d24…×229,
a66fd33306…×206,
a7bafab252…×198,
e0638ecf9c…×184,
3cb5463cab…×159,
e98ff862b8…×79,
089eb830dc…×74,
5e6c9e68d9…×74,
bbd0884147…×69,
1fcfd738aa…×65,
d93826dfe3…×61,
55da9da19f…×55,
b6344630cb…×48,
355510b398…×44,
7ada887cfc…×40,
f98708556a…×34,
076c9c894a…×12,
f9eb94c828…×3,
9ccc72f2c3…×2,
258c9a8680…×2
4044
089eb830dc…×22,
2e167c53bf…×3,
c1710be6c4…×2,
076c9c894a…×2,
d93826dfe3…×1,
e5c25ca3c5…×1
10938
c721cb59aa…×224,
2e167c53bf…×85,
8002549b2c…×57,
e5c25ca3c5…×38
15200
f98708556a…×21,
2e167c53bf…×15,
b6344630cb…×14,
5e6c9e68d9…×10
10937
bbd0884147…×30,
355510b398…×5,
2e167c53bf…×4
8762
089eb830dc…×16,
cbbbb1787d…×9,
e0638ecf9c…×8
10009
a7bafab252…×25,
076c9c894a…×2,
192327bac2…×2
12898
8002549b2c…×16,
c1710be6c4…×8,
5baf183a94…×2
15380
d93826dfe3…×6,
5baf183a94…×3,
076c9c894a…×2
3095
8002549b2c…×2,
e5c25ca3c5…×2,
bbd0884147…×1
14043
4dea07bd85…×179,
6c7b7d383c…×47
14381
f96c8515aa…×100,
8c7fbf8d24…×14
7221
f96c8515aa…×84,
cbbbb1787d…×26
15374
192327bac2…×75,
5baf183a94…×25
13033
c1710be6c4…×48,
8002549b2c…×37
13936
9ccc72f2c3…×52,
248459f4e8…×18
7494
8c7fbf8d24…×53,
f96c8515aa…×4
14271
248459f4e8…×51,
f96c8515aa…×3
6453
3cb5463cab…×30,
4dea07bd85…×10
6084
9ccc72f2c3…×24,
b166a1d561…×15
5788
b166a1d561…×36,
8c7fbf8d24…×1
6769
248459f4e8…×22,
2b97fd3bea…×9
14632
8c7fbf8d24…×25,
f96c8515aa…×6
14210
2b97fd3bea…×23,
248459f4e8…×7
14400
8c7fbf8d24…×19,
f96c8515aa…×6
Explore Story Permutations (1427)
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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 →