Estimated User #33
30 IP addresses
▶
8d9d6b145d… (300 fiction convos),
0943c4540c… (141 fiction convos),
fb8e69b1e6… (39 fiction convos),
6d06b562c4… (32 fiction convos),
8129b81bea… (30 fiction convos),
1dbf143fd8… (26 fiction convos),
3948e793fc… (18 fiction convos),
64137c9fad… (17 fiction convos),
dbe54374bf… (13 fiction convos),
56301c9722… (12 fiction convos),
5c02b37184… (12 fiction convos),
6c44c65494… (11 fiction convos),
28a2072b99… (10 fiction convos),
5653130744… (9 fiction convos),
8953e47d7a… (8 fiction convos),
e1ca2e2de0… (8 fiction convos),
1bb3a3cb98… (8 fiction convos),
423b4e199b… (7 fiction convos),
349c9db594… (7 fiction convos),
9ab285493d… (5 fiction convos),
c730395f39… (4 fiction convos),
d65b111b3c… (3 fiction convos),
59291837bb… (3 fiction convos),
fe12d691e4… (2 fiction convos),
247600c449… (2 fiction convos),
632323354d… (2 fiction convos),
d02067030b… (2 fiction convos),
ca7fa744d0… (1 fiction convos),
eaf070fbb4… (1 fiction convos),
910508c90d… (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.
2848
8d9d6b145d…×28 of 300 total,
0943c4540c…×19 of 141 total,
fb8e69b1e6…×9 of 39 total,
8129b81bea…×8 of 30 total,
6d06b562c4…×8 of 32 total,
3948e793fc…×3 of 18 total,
59291837bb…×3 of 3 total,
64137c9fad…×2 of 17 total,
e1ca2e2de0…×2 of 8 total,
349c9db594…×1 of 7 total,
dbe54374bf…×1 of 13 total
3639
8d9d6b145d…×18 of 300 total,
56301c9722…×11 of 12 total,
64137c9fad…×2 of 17 total,
c730395f39…×2 of 4 total,
ca7fa744d0…×1 of 1 total,
349c9db594…×1 of 7 total
10883
0943c4540c…×13 of 141 total,
8953e47d7a…×5 of 8 total,
d65b111b3c…×2 of 3 total,
6c44c65494…×1 of 11 total,
d02067030b…×1 of 2 total
3392
8d9d6b145d…×9 of 300 total,
5c02b37184…×5 of 12 total,
fb8e69b1e6…×4 of 39 total,
349c9db594…×1 of 7 total
2875
fb8e69b1e6…×6 of 39 total,
1bb3a3cb98…×4 of 8 total,
8129b81bea…×2 of 30 total,
8d9d6b145d…×1 of 300 total
2745
8d9d6b145d…×25 of 300 total,
1dbf143fd8…×13 of 26 total,
8129b81bea…×6 of 30 total
3027
8d9d6b145d…×17 of 300 total,
28a2072b99…×4 of 10 total,
fe12d691e4…×2 of 2 total
10776
0943c4540c…×7 of 141 total,
5653130744…×4 of 9 total,
eaf070fbb4…×1 of 1 total
3616
8d9d6b145d…×3 of 300 total,
910508c90d…×1 of 1 total,
56301c9722…×1 of 12 total
10648
0943c4540c…×2 of 141 total,
632323354d…×1 of 2 total,
423b4e199b…×1 of 7 total
11134
0943c4540c…×6 of 141 total,
9ab285493d…×1 of 5 total
3366
8d9d6b145d…×2 of 300 total,
247600c449…×2 of 2 total
Explore Story Permutations (68)
▼
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 →