Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #5033 · 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

SURPRISE0.11
ENGAGEMENT0.0344
FRESHNESS1.40
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
70% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
13.53
ACCEL
-0.29
RETENTION
52.5%
PEAK 2026-06-19 · FORK-RETENTION 0.0% · 406 STARS / WINDOW

Author Audience

AUDIENCE
81
FOLLOWERS
10
OWNER ★
707

Engagement Signals

FORKS
5
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 406 / 406 (DIVERSITY 1.00)

Why This Is A Finding

zengxiao-he/tessera собрал 406 звёзд за окно, тогда как у автора всего 10 подписчиков — эффективная аудитория ≈ 81. Это даёт surprise-индекс 0.11 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 20%
VELOCITY13.534.23+9.30ABOVE 80%
RETENTION52.5%29.4%+23.0 PPABOVE 88%
FORKS592-87ABOVE 4%
SURPRISE0.110.01+0.10ABOVE 97%