TrendHub Academy
A separate document-style hub for original explainers, operator guides and evergreen reading material. This section is designed to grow like a knowledge library without disturbing the dashboard product surface.
Reading System
The AI signal stack: how to read repos, models and papers together
A practical reading model for TrendHub: use repository motion, model launches and research signals together instead of treating any one stream as the truth.
Publishing rubric
What belongs here
Document archive
Guides and explainers
These articles are meant to stay readable over time, not disappear after one news cycle.
Operator Memo
Prompt capacity thresholds for local model audits
A practical explanation of why lightweight prompts often outperform reflective overload on smaller local models, and how to choose the right coaching depth.
Research Desk
A fast arXiv triage workflow for operators and builders
You do not need to read every paper. You need a repeatable method for deciding what to ignore, what to watch and what to test.
Model Desk
What makes a new Hugging Face model release worth tracking
A launch page can look impressive without changing what builders can actually ship. This article shows how to evaluate new releases more carefully.
GitHub Radar
How to read GitHub momentum without chasing noise
Stars and social attention matter, but they are not the same thing as durable technical value. This guide explains how to tell the difference.
1. Evergreen
Publish guides that remain useful even when a single trend fades.
2. Actionable
Explain what a reader should test, ignore, compare, or monitor next.
3. Credible
Keep authorship, update dates and source trails visible on every page.