Github Trends®
5782 findingsmedian surprise 0.00653window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
РЕПО НЕТ В ОКНЕ 30D. ПОКАЗАН FINDING ИЗ ОКНА 1D (1 day) — РАНГ #739.
FINDING #739 · UNIT ID 1322509558
AMAP-ML/LongHorizon-Harness
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0328
ENGAGEMENT0.40
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
14% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
82.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-08-10 · FORK-RETENTION 0.0% · 82 STARS / WINDOW

Author Audience

AUDIENCE
2,462
FOLLOWERS
317
OWNER ★
9,117

Engagement Signals

FORKS
67
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 82 / 82 (DIVERSITY 1.00)

Why This Is A Finding

AMAP-ML/LongHorizon-Harness собрал 82 звёзд за окно, тогда как у автора всего 317 подписчиков — эффективная аудитория ≈ 2,462. Это даёт surprise-индекс 0.0328 (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 5782 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 87%
VELOCITY82.0010.00+72.00ABOVE 95%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS67427-360ABOVE 19%
SURPRISE0.030.01+0.03ABOVE 77%