Skip to content
Signalcrest
← Back to feed
hackernewsai

Qwen3.8-27B

Introduces a new 27B parameter language model for large-scale AI tasks.

Steady

29

signal score

as of 10d ago

🔗 2

sources · qwen3.8-27b

Too early

trajectory — needs a few more snapshots

Why this scored 29

every term, weighted
Velocity+0.0 / 40 max

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

Acceleration+11.3 / 25 max

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

Cross-source spread+12.5 / 25 max

How many independent communities are talking about the same entity

Recency+7.9 / 10 max

Decays to zero over 14 days

Saturation penalty3.2 / 30 max

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

Composite28.5

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

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

Entities

qwen3.8-27b
Embed a live signal badge
Signalcrest signal badge
[![Signalcrest signal](https://www.signalcrest.app/api/badge/hn%3A49299684)](https://www.signalcrest.app/topic/hn%3A49299684)

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