Github Trends®
9760 findingsmedian surprise 0.0099window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8236 · 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

SURPRISE0.0339
ENGAGEMENT0.12
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% 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
4.14
ACCEL
+1.54
RETENTION
0.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 29 STARS / WINDOW

Author Audience

AUDIENCE
82
FOLLOWERS
17
OWNER ★
653

Engagement Signals

FORKS
9
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 29 / 29 (DIVERSITY 1.00)

Why This Is A Finding

zengxiao-he/tessera собрал 29 звёзд за окно, тогда как у автора всего 17 подписчиков — эффективная аудитория ≈ 82. Это даёт surprise-индекс 0.0339 (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 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 16%
VELOCITY4.143.71+0.43ABOVE 53%
RETENTION0.0%38.0%-38.0 PPABOVE 0%
FORKS986-77ABOVE 11%
SURPRISE0.030.01+0.02ABOVE 80%