glm
for ML engineers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity'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)The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 129
ZCode, the GLM coding agent, silently uploads your Git history
auto-uploads your Git history, raising privacy and workflow considerations for developers · for software engineers
hackernewsSteady 2 · zcodedevtools38d ago - 216
How GLM built its own inference infrastructure
GLM created a custom inference stack, showing a path for scalable LLM serving. · for ml engineers, platform teams
hackernewsSteadyai39d ago - 315
GLM-Legal
GLM-Legal introduces legal considerations for using GLM models. · for ML engineers
hackernewsSteadyai13d ago - 415
How to efficiently pass structs to OpenGL Uniform Buffer Objects?
Efficiently pass structs to OpenGL UBOs using C++ and GLSL math libraries. · for graphics programmers, game devs
stackoverflowSteadydevtools23d ago - 59
Smaller, faster, safer: running Kimi and GLM at scale
Scaling Kimi and GLM · for ai engineers
hackernewsSteady 2 · glmai83d ago - 68
ZCode – Harness for GLM-5.2
ZCode harness released
hackernewsSteadydevtools113d ago - 77
GLM 5.2 is nearly as accurate as a human book keeper
GLM 5.2 achieves high accuracy in bookkeeping tasks. · for devops teams, tech leads
hackernewsSteadydevtools108d ago - 80
ianncity/GLM-5.2-Conversation (dataset)
New conversation dataset · for ai researchers
huggingfaceSteady 2 · glmai−11 saturated93d ago - 90
zai-org/GLM-5.2 (text-generation)
New text generation model · for ai researchers, dev teams
huggingfaceSteadyai−22 saturated104d ago - 100
baseten/GLM-5.2-Vision-NVFP4 (image-text-to-text)
Image-text-to-text model · for ai researchers
huggingfaceSteadyai−10 saturated94d ago - 110
jlnsrk/GLM-5.2-colibri-int4
New text generation model · for ai researchers, dev teams
huggingfaceSteadyai−13 saturated104d ago