Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3741 · UNIT ID 596377730
openobserve/openobserve
Open source observability platform for logs, metrics, traces, frontend monitoring, pipelines and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
[ TYPESCRIPT ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00433
ENGAGEMENT0.36
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
23.33
ACCEL
+2.00
RETENTION
0.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 70 STARS / WINDOW

Author Audience

AUDIENCE
5,351
FOLLOWERS
461
OWNER ★
22,145

Engagement Signals

FORKS
1,060
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 70 / 70 (DIVERSITY 1.00)

Why This Is A Finding

openobserve/openobserve собрал 70 звёзд за окно, тогда как у автора всего 461 подписчиков — эффективная аудитория ≈ 5,351. Это даёт surprise-индекс 0.00433 (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 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 61%
VELOCITY23.335.67+17.67ABOVE 88%
RETENTION0.0%42.9%-42.9 PPABOVE 0%
FORKS1,060333+727ABOVE 72%
SURPRISE0.000.00+0.00ABOVE 50%