ABOUT // THE_INTELLIGENCE_PIPELINE

How VaiBReport Works

1,351 repos tracked. 70digests published. Nine platforms. Fully automated. Here's the architecture.

PIPELINE_STAGES

Fetch

Nine automated scrapers pull raw data from GitHub, HuggingFace, Replicate, Papers with Code, npm, PyPI, GitLab, Ollama, and launch platforms. Every source runs on a daily cron — zero manual intervention.

Evaluate

A multi-tier LLM cascade (Local Qwen → NVIDIA NIM → Gemini → OpenRouter → Groq → Haiku) generates editorial blurbs. First success wins. When signal is weak, the pipeline stays silent — no filler, ever.

Publish

Validated entries are committed to the repo catalog, a daily digest post is generated, and Jekyll deploys to GitHub Pages. The full pipeline runs in GitHub Actions — build artifacts are the only output.

PLATFORM_SOURCES // 9_ACTIVE

GitHub

Trending repos, new releases, star velocity

HuggingFace

Model cards, datasets, Spaces activity

Replicate

Hosted model deployments and API access

Papers with Code

Research papers with linked implementations

npm

JavaScript/TypeScript package ecosystem

PyPI

Python package index and download metrics

GitLab

Alternative forge repos and CI/CD projects

Ollama

Local-first model library and runners

Launch Platforms

Product Hunt, DevHunt, HN, BetaList, Uneed

SYSTEM_NOMINAL

Chaos Desktop

Run every tool from this report locally. One-click install, zero config. The autonomous engineering workstation — built for teams that ship at the frontier.

GET CHAOS DESKTOP

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