Github Trends®
1069 findingsmedian surprise 0.0527window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: gharchive
FINDING #957 · UNIT ID 1129940957
headroomlabs-ai/headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0116
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
141.00
ACCEL
-82.50
RETENTION
5.6%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 423 STARS / WINDOW

Author Audience

AUDIENCE
12,107
FOLLOWERS
121
OWNER ★
59,327

Engagement Signals

FORKS
4,395
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 423 / 423 (DIVERSITY 1.00)

Why This Is A Finding

headroomlabs-ai/headroom собрал 423 звёзд за окно, тогда как у автора всего 121 подписчиков — эффективная аудитория ≈ 12,107. Это даёт surprise-индекс 0.0116 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1069 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.01-0.01ABOVE 10%
VELOCITY141.0015.33+125.67ABOVE 93%
RETENTION5.6%33.3%-27.7 PPABOVE 38%
FORKS4,39545+4,350ABOVE 95%
SURPRISE0.010.05-0.04ABOVE 24%