Estimated User #72
24 IP addresses
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f38fa0c621… (49 fiction convos),
f144b32c68… (44 fiction convos),
2b27210bd4… (28 fiction convos),
3f0f37c2f0… (25 fiction convos),
14a40d9d18… (25 fiction convos),
347d44e4b1… (22 fiction convos),
ef53616aef… (10 fiction convos),
7f8a05a8fa… (10 fiction convos),
e314aed8d3… (9 fiction convos),
b0d1720e35… (9 fiction convos),
bfd167eee7… (7 fiction convos),
077ba4126e… (7 fiction convos),
c5fef8f726… (6 fiction convos),
a48d4a5b51… (6 fiction convos),
383ee64917… (6 fiction convos),
e94ec1fd0e… (6 fiction convos),
53002bddaa… (5 fiction convos),
c23cc0b615… (5 fiction convos),
48b7753601… (5 fiction convos),
1385b7f59a… (5 fiction convos),
1acdff1b8b… (4 fiction convos),
3f10c9d9a6… (2 fiction convos),
2745316eb5… (2 fiction convos),
7de1938138… (2 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.
12650
14a40d9d18…×9 of 25 total,
ef53616aef…×8 of 10 total,
53002bddaa…×5 of 5 total,
347d44e4b1…×4 of 22 total,
7de1938138…×2 of 2 total
12335
14a40d9d18…×10 of 25 total,
f38fa0c621…×4 of 49 total,
f144b32c68…×2 of 44 total,
2745316eb5…×1 of 2 total,
ef53616aef…×1 of 10 total
12564
347d44e4b1…×7 of 22 total,
b0d1720e35…×7 of 9 total,
3f0f37c2f0…×3 of 25 total
12428
1acdff1b8b…×4 of 4 total,
c5fef8f726…×2 of 6 total,
2b27210bd4…×2 of 28 total
12437
1385b7f59a…×3 of 5 total,
2b27210bd4…×2 of 28 total,
c5fef8f726…×2 of 6 total
12383
7f8a05a8fa…×3 of 10 total,
c5fef8f726…×2 of 6 total,
bfd167eee7…×1 of 7 total
12372
077ba4126e…×1 of 7 total,
f38fa0c621…×1 of 49 total,
14a40d9d18…×1 of 25 total
12411
2b27210bd4…×7 of 28 total,
c23cc0b615…×2 of 5 total
12601
383ee64917…×6 of 6 total,
3f0f37c2f0…×3 of 25 total
12380
7f8a05a8fa…×3 of 10 total,
f38fa0c621…×1 of 49 total
116
3f10c9d9a6…×2 of 2 total,
f38fa0c621…×1 of 49 total
2196
48b7753601…×2 of 5 total,
f38fa0c621…×1 of 49 total
12353
e94ec1fd0e…×2 of 6 total,
a48d4a5b51…×1 of 6 total
12418
bfd167eee7…×2 of 7 total,
e314aed8d3…×1 of 9 total
12371
e94ec1fd0e…×1 of 6 total,
077ba4126e…×1 of 7 total
Explore Story Permutations (48)
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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 →