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Accelerating the Zig Tokenizer (with AVX-512)

Demonstrates AVX-512 acceleration of Zig's tokenizer for faster text processing.

Steady
Signal score
29
as of 1d ago
Sources
2
agreeing on zig
Trajectory
→ Steady
7-day est. ~32

Why this scored 29

every term, weighted
Velocity+0.0 / 40

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+7.2 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+12.5 / 25

How many independent communities are talking about the same entity

Recency+9.5 / 10

Decays to zero over 14 days

Saturation penalty−0.3 / 30

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite29.0

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~32

range 0–45

14-day

~32

range 0–47

30-day

~30

range 0–50

Signal history

7-day window (free)
2279

projected trajectory (estimate, not a guarantee)

Entities

zig
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Drop this in a README or blog post — it updates automatically as the score moves.