FINDING #3910 · UNIT ID 1373192959
cs2-dma/CS2-DMA
Open-source, low-level Direct Memory Access (DMA) research framework for Counter-Strike 2, focused on memory acquisition, entity-state parsing, synchronization, PCIe experimentation, and reverse-engineering research. Intended strictly for educational and research purposes.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
21% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
2.00
ACCEL
+1.39
RETENTION
0.0%
PEAK 2026-09-24 · FORK-RETENTION 0.0% · 14 STARS / WINDOW
Author Audience
AUDIENCE
88
FOLLOWERS
81
OWNER ★
68
Engagement Signals
FORKS
2
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 14 / 14 (DIVERSITY 1.00)
Why This Is A Finding
cs2-dma/CS2-DMA собрал 14 звёзд за окно, тогда как у автора всего 81 подписчиков — эффективная аудитория ≈ 88. Это даёт surprise-индекс 0.0156 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 60% OF 9770 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9770 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 60%
VELOCITY2.003.57-1.57ABOVE 22%
RETENTION0.0%40.0%-40.0 PPABOVE 0%
FORKS292-90ABOVE 3%
SURPRISE0.020.01+0.01ABOVE 63%