Github Trends®
4972 findingsmedian surprise 0.00375window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #24 · UNIT ID 1202410617
FailproofAI/failproofai
Runtime failure resolution for coding agents. Hooks into Claude Code, Codex & your favourite harnesses. Catches loops, dangerous actions, and secret leaks before they become incidents. Zero latency. Runs locally.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.25
ENGAGEMENT1.22
FRESHNESS1.02
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
46% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
56.67
ACCEL
+66.50
RETENTION
0.0%
PEAK 2026-07-28 · FORK-RETENTION 0.0% · 170 STARS / WINDOW

Author Audience

AUDIENCE
189
FOLLOWERS
36
OWNER ★
584

Engagement Signals

FORKS
30
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 170 / 170 (DIVERSITY 1.00)

Why This Is A Finding

FailproofAI/failproofai собрал 170 звёзд за окно, тогда как у автора всего 36 подписчиков — эффективная аудитория ≈ 189. Это даёт surprise-индекс 0.25 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4972 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.290.00+0.29ABOVE 100%
VELOCITY56.675.33+51.33ABOVE 96%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS30403-373ABOVE 13%
SURPRISE0.250.00+0.24ABOVE 99%