FINDING #5585 · UNIT ID 221654678
deepset-ai/haystack
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
11.67
ACCEL
+5.00
RETENTION
0.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 35 STARS / WINDOW
Author Audience
AUDIENCE
13,618
FOLLOWERS
1,379
OWNER ★
30,662
Engagement Signals
FORKS
3,048
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 35 / 35 (DIVERSITY 1.00)
Why This Is A Finding
deepset-ai/haystack собрал 35 звёзд за окно, тогда как у автора всего 1,379 подписчиков — эффективная аудитория ≈ 13,618. Это даёт surprise-индекс 0.000854 (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.
Related Findings
RANKS ABOVE 42% OF 9558 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 42%
VELOCITY11.675.67+6.00ABOVE 75%
RETENTION0.0%42.9%-42.9 PPABOVE 0%
FORKS3,048333+2,715ABOVE 88%
SURPRISE0.000.00-0.00ABOVE 23%