FINDING #850 · UNIT ID 1290022584
perfectgf/lora-dataset-studio
Self-hosted, one-tab workbench for the whole LoRA lifecycle: build Character / Concept / Style datasets (generate from a reference, scrape, or triage a huge dump in the Image Bank), curate, caption, clean watermarks, train locally or in the cloud across five model families, then rank checkpoints in a Test Studio. Free & local.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
9% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
2.43
ACCEL
-0.43
RETENTION
30.6%
PEAK 2026-08-04 · FORK-RETENTION 0.0% · 17 STARS / WINDOW
Author Audience
AUDIENCE
25
FOLLOWERS
7
OWNER ★
181
Engagement Signals
FORKS
27
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 17 / 17 (DIVERSITY 1.00)
Why This Is A Finding
perfectgf/lora-dataset-studio собрал 17 звёзд за окно, тогда как у автора всего 7 подписчиков — эффективная аудитория ≈ 25. Это даёт surprise-индекс 0.0373 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.
Related Findings
RANKS ABOVE 91% OF 9721 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9721 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 91%
VELOCITY2.433.43-1.00ABOVE 33%
RETENTION30.6%32.1%-1.6 PPABOVE 48%
FORKS27130-103ABOVE 19%
SURPRISE0.040.01+0.03ABOVE 86%