Estimated User #128
20 IP addresses
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3b12492dc2… (47 fiction convos),
9a2fa9963c… (45 fiction convos),
5c7cda3731… (12 fiction convos),
b2d299100f… (4 fiction convos),
d8d2e84287… (3 fiction convos),
a05c621655… (2 fiction convos),
db61114349… (1 fiction convos),
171d40757b… (1 fiction convos),
9ba8da90b9… (1 fiction convos),
50be0ff75f… (1 fiction convos),
d46c124684… (1 fiction convos),
66d4457dcb… (1 fiction convos),
333e42ae9f… (1 fiction convos),
50536f9cba… (1 fiction convos),
9660e499d3… (1 fiction convos),
d944daba93… (1 fiction convos),
05466acaaa… (1 fiction convos),
624b537aa9… (1 fiction convos),
41b2152bba… (1 fiction convos),
41b365b371… (1 fiction convos)
Each row below is a DBSCAN cluster of near-duplicate prompts (cosine similarity ≥ 0.9) shared by two or more of these IPs — meaning each of those IPs contributed at least one near-duplicate prompt to that cluster. Grouping is transitive: if IP A and IP B share a cluster, and IP B and IP C share a different cluster, all three end up in the same estimated user.
1934
9a2fa9963c…×8 of 45 total,
b2d299100f…×4 of 4 total,
d8d2e84287…×3 of 3 total,
3b12492dc2…×2 of 47 total,
9ba8da90b9…×1 of 1 total,
624b537aa9…×1 of 1 total,
50be0ff75f…×1 of 1 total,
9660e499d3…×1 of 1 total,
50536f9cba…×1 of 1 total,
d46c124684…×1 of 1 total
12667
3b12492dc2…×5 of 47 total,
a05c621655…×2 of 2 total,
66d4457dcb…×1 of 1 total
1993
171d40757b…×1 of 1 total,
41b365b371…×1 of 1 total,
9a2fa9963c…×1 of 45 total
12660
d944daba93…×1 of 1 total,
333e42ae9f…×1 of 1 total,
3b12492dc2…×1 of 47 total
12699
5c7cda3731…×2 of 12 total,
3b12492dc2…×1 of 47 total
1188
db61114349…×1 of 1 total,
3b12492dc2…×1 of 47 total
12143
05466acaaa…×1 of 1 total,
3b12492dc2…×1 of 47 total
12655
9a2fa9963c…×1 of 45 total,
41b2152bba…×1 of 1 total
Explore Story Permutations (28)
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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 →