Github Trends®
9721 findingsmedian surprise 0.00633window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8729 · UNIT ID 1320191889
patchy631/time-to-first-token
A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization. vLLM, SGLang, quantization, speculative decoding, benchmarking.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00499
ENGAGEMENT0.39
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
61% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
35.71
ACCEL
-11.64
RETENTION
16.7%
PEAK 2026-08-04 · FORK-RETENTION 76.7% · 250 STARS / WINDOW

Author Audience

AUDIENCE
7,121
FOLLOWERS
3,180
OWNER ★
39,407

Engagement Signals

FORKS
48
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 250 / 250 (DIVERSITY 1.00)

Why This Is A Finding

patchy631/time-to-first-token собрал 250 звёзд за окно, тогда как у автора всего 3,180 подписчиков — эффективная аудитория ≈ 7,121. Это даёт surprise-индекс 0.00499 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 76.7% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9721 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY35.713.43+32.29ABOVE 94%
RETENTION16.7%32.1%-15.5 PPABOVE 27%
FORKS48130-82ABOVE 28%
SURPRISE0.000.01-0.00ABOVE 44%