Estimated User #32
21 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.
1c92e562a320...
557fcfb5f257...
70e9eaabda90...
2f2d7a2c8377...
58663b89269b...
primary
70f35e0f0bba...
9ca85d491de4...
7c900d4e1d00...
afe64708b66f...
74bd8e201cca...
df50c1af08bf...
28b98a6c4ade...
9b522e8ca143...
3f5376f9e7f1...
d47310115b03...
a41f0c21d022...
f9daf7e14e0b...
9ef16f4d73ad...
c2406b8084d5...
9bed1292697f...
818861a493ba...
Why these IPs were linked — 11 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.
12874
557fcfb5f2…×81,
1c92e562a3…×78,
70e9eaabda…×72,
2f2d7a2c83…×59,
58663b8926…×20,
7c900d4e1d…×19,
70f35e0f0b…×17,
74bd8e201c…×15,
9ca85d491d…×14,
9b522e8ca1…×10,
a41f0c21d0…×6,
3f5376f9e7…×6,
9ef16f4d73…×5,
c2406b8084…×3,
df50c1af08…×2
12875
1c92e562a3…×61,
9bed129269…×1,
d47310115b…×1
11810
df50c1af08…×11,
7c900d4e1d…×5,
9ca85d491d…×2
12860
1c92e562a3…×37,
28b98a6c4a…×12
12908
58663b8926…×39,
d47310115b…×7
13043
9ca85d491d…×23,
3f5376f9e7…×2
11793
1c92e562a3…×13,
9bed129269…×1
13059
9ca85d491d…×9,
afe64708b6…×3
13008
f9daf7e14e…×6,
70e9eaabda…×4
4135
afe64708b6…×4,
818861a493…×2
12934
58663b8926…×1,
c2406b8084…×1
Explore Story Permutations (21)
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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 →