# Lanqiao-Luca/ai-video-marker

> A toolkit and methodology for AI video production: a six-layer process (Graph, Loop, Workflow, Agent, Skill, Standards), templates, local scripts, and three runnable pixel scenes in Python.

- Magnitude: 2.7 out of 10 — Early signal
- Stars: 117 total · +2 stars measured 2026-10-31, 00:27–02:35 UTC, ≈ 20 by evening
- Star trust: star growth looks organic
- Category: Generative media · Language: Python · License: MIT · Created: 2026-10-25 · Last push: 2026-10-30
- GitHub: https://github.com/Lanqiao-Luca/ai-video-marker · Page: https://gitnova.dev/en/r/Lanqiao-Luca/ai-video-marker

## Useful for

- Render a 36-second pixel short from bundled assets with make_video.py
- Initialize a new project along the pixel route via init_project.py
- Validate a rendered video and build a contact sheet with check_video.py and contact_sheet.py

## Why it’s here

- Star-counter measurements on 2026-10-31 (UTC), 00:27–02:35: 115 → 117 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +20 stars, using observed gains and the previous day.
- The repository is 6 days old and already has 117 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #167.

## 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: 0
- Watchers: 9
- Average over the last week: 20 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-10-25 … 2026-10-31: 6, 20, 9, 15, 46, 21, 2

## Spotted in now

- Top new repositories this week: #167

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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 2026-10-31 02:43 UTC, updated every 30 minutes.