# Hiteater-wzm/eeo

> An open community and toolkit for "Everything Engine Optimization": brands publish machine-readable cards about themselves, and the tooling measures how visible a brand is in AI engine answers.

- Magnitude: 1.4 out of 10 — Steady
- Stars: 76 total · +6 stars measured 2026-10-05, 19:52–21:31 UTC, ≈ 7 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: JavaScript · License: Apache-2.0 · Created: 2026-10-05 · Last push: 2026-10-05
- GitHub: https://github.com/Hiteater-wzm/eeo · Page: https://gitnova.dev/en/r/Hiteater-wzm/eeo

## Useful for

- Check brand visibility across 26 AI engines with a single HTML file
- Run batch audits of a brand list from the CLI with CSV export
- Generate a static brand site with llms.txt, JSON-LD and robots.txt for AI crawlers

## Why it’s here

- Star-counter measurements on 2026-10-05 (UTC), 19:52–21:31: 70 → 76 stars (+6). This is the change over that interval.
- Estimated end-of-day forecast: about +7 stars, using observed gains and the previous day.
- The repository is 0 days old and already has 76 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 4
- Issues and pull requests: 7
- Watchers: 1
- Average over the last week: 7 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 4

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-10-04 … 2026-10-05: 0, 6

## More in this category

1. **Niko1221/Strata** — 8.2 · Breakout · Language models · C++ · +2,703 stars measured 2026-10-05, 00:06–21:20 UTC, ≈ 3,003 by evening
   A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost.
   Full card: https://gitnova.dev/en/r/Niko1221/Strata.md
2. **StayLameBro/backburner** — 6.5 · Early signal · Language models · Python · +234 stars measured 2026-10-05, 00:06–21:20 UTC, ≈ 260 by evening
   A llama.cpp fork that plugs an iPhone into a Mac over USB-C and splits the work: the Mac runs layers 1-40, the iPhone runs 41-64 on its GPU, speeding up prefill and allowing context up to 196k-229k tokens. Aimed at people running…
   Full card: https://gitnova.dev/en/r/StayLameBro/backburner.md
3. **antirez/ds4** — 5.5 · Breakout · Language models · C · +124 stars measured 2026-10-05, 00:06–21:21 UTC, ≈ 139 by evening
   DwarfStar (ds4) is a native C inference engine for running a few specific large LLMs (DeepSeek V4 Flash/PRO, GLM 5.x, Qwen3.8 Flash Next) on Metal, CUDA and ROCm. Targets consumer hardware like MacBooks, DGX Spark and Strix Halo, with SSD…
   Full card: https://gitnova.dev/en/r/antirez/ds4.md
4. **empero-org/brewery-ai** — 5.2 · Early signal · Language models · Python · +67 stars measured 2026-10-05, 07:56–21:21 UTC, ≈ 75 by evening
   A console agent that walks users through the full fine-tuning cycle for language and image models via a chat with an AI guide: from picking a base model and data to training on a GPU and publishing to Hugging Face.
   Full card: https://gitnova.dev/en/r/empero-org/brewery-ai.md
5. **Edge0-AI/Edge0** — 4.7 · Breakout · Language models · Python · +207 stars measured 2026-10-05, 00:07–21:22 UTC, ≈ 230 by evening
   An open-source streaming MoE inference framework: expert weights are offloaded from SSD on demand while a trained prerouter predicts routing ahead of time. Runs on Apple Silicon via MLX and ships with two ready-to-run model tiers (35B and…
   Full card: https://gitnova.dev/en/r/Edge0-AI/Edge0.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-05 21:35 UTC, updated every 30 minutes.