Estimated User #22
14 IP addresses
▶
ad89a57e6c… (580 fiction convos),
ae14b687cd… (250 fiction convos),
4485b97058… (192 fiction convos),
703c6cfab5… (152 fiction convos),
8864e5f22b… (112 fiction convos),
dec092bcc0… (107 fiction convos),
8c285cf7a5… (89 fiction convos),
e86cfd0ced… (35 fiction convos),
56a8ecc2b9… (15 fiction convos),
0c245d5da6… (7 fiction convos),
e33293d7cb… (5 fiction convos),
b2cd379a9d… (1 fiction convos),
143941a034… (1 fiction convos),
ff003ae73a… (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.
123
ae14b687cd…×84 of 250 total,
ad89a57e6c…×66 of 580 total,
dec092bcc0…×57 of 107 total,
4485b97058…×25 of 192 total,
703c6cfab5…×24 of 152 total,
8864e5f22b…×20 of 112 total,
e33293d7cb…×5 of 5 total,
e86cfd0ced…×1 of 35 total,
ff003ae73a…×1 of 1 total
489
ad89a57e6c…×70 of 580 total,
4485b97058…×38 of 192 total,
ae14b687cd…×19 of 250 total,
56a8ecc2b9…×6 of 15 total,
e86cfd0ced…×4 of 35 total,
703c6cfab5…×3 of 152 total,
dec092bcc0…×2 of 107 total,
8c285cf7a5…×2 of 89 total,
8864e5f22b…×1 of 112 total
2076
ad89a57e6c…×59 of 580 total,
4485b97058…×30 of 192 total,
8c285cf7a5…×15 of 89 total,
b2cd379a9d…×1 of 1 total,
ae14b687cd…×1 of 250 total
1658
ad89a57e6c…×92 of 580 total,
0c245d5da6…×7 of 7 total,
56a8ecc2b9…×2 of 15 total,
4485b97058…×1 of 192 total,
703c6cfab5…×1 of 152 total
2968
143941a034…×1 of 1 total,
dec092bcc0…×1 of 107 total
Explore Story Permutations (67)
▼
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 →