Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #7600 · UNIT ID 1260030086
zengxiao-he/tessera
From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0593
ENGAGEMENT0.0662
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
7.33
ACCEL
+0.00
RETENTION
60.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 22 STARS / WINDOW

Author Audience

AUDIENCE
84
FOLLOWERS
17
OWNER ★
667

Engagement Signals

FORKS
9
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 22 / 22 (DIVERSITY 1.00)

Why This Is A Finding

zengxiao-he/tessera собрал 22 звёзд за окно, тогда как у автора всего 17 подписчиков — эффективная аудитория ≈ 84. Это даёт surprise-индекс 0.0593 (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 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 17%
VELOCITY7.335.67+1.67ABOVE 59%
RETENTION60.0%45.5%+14.5 PPABOVE 65%
FORKS9340-330ABOVE 7%
SURPRISE0.060.00+0.05ABOVE 89%