# chenjin-cmd/wechat-graphic-monetization > A methodology and template pack for running WeChat affiliate marketing through an AI assistant: from opening a showcase and picking products to posting photo-text content, reviewing data, and withdrawing commission. Works as system instructions or a Skill in Cursor, Claude, Copilot, and other AI tools. - Magnitude: 3.1 out of 10 — Early signal - Stars: 88 total · +0 stars measured 2026-10-05, 10:59–12:35 UTC, ≈ 7 by evening - Star trust: star growth looks organic - Category: Productivity & self-hosted · License: MIT · Created: 2026-10-03 · Last push: 2026-10-03 - GitHub: https://github.com/chenjin-cmd/wechat-graphic-monetization · Page: https://gitnova.dev/en/r/chenjin-cmd/wechat-graphic-monetization ## Useful for - Load UNIVERSAL.md as system instructions so the AI guides you through the 8-stage funnel - Filter products by high commission, 7-day returns, and high rating criteria - Build a 30-day account launch calendar from the assets template ## Why it’s here - Star-counter measurements on 2026-10-05 (UTC), 10:59–12:35: 88 → 88 stars (+0). 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 2 days old and already has 88 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: 9 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 29 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 9 days (oldest → newest, today is partial) 2026-09-27 … 2026-10-05: 0, 0, 0, 0, 0, 4, 49, 31, 0 ## More in this category 1. **DuarteSantos8/openGym** — 8.3 · Breakout · Productivity & self-hosted · JavaScript · +512 stars measured 2026-10-05, 00:06–12:33 UTC, ≈ 1,089 by evening Self-hosted gym and body-weight tracker: plan routines, log workouts (supersets, warm-ups, cardio), see muscle fatigue map, import from FitNotes/Strong/Hevy, passkey login. Your data stays on your own server. Full card: https://gitnova.dev/en/r/DuarteSantos8/openGym.md 2. **omlahore/RemoveMacAI** — 7.8 · Early signal · Productivity & self-hosted · Swift · +663 stars measured 2026-10-05, 00:06–12:33 UTC, ≈ 1,104 by evening A command-line tool for macOS 27 that turns off Apple Intelligence features, removes the downloaded models (about 12 GB) and blocks them from being downloaded again; all changes are reversible. Full card: https://gitnova.dev/en/r/omlahore/RemoveMacAI.md 3. **extend-hq/jevbox** — 6.0 · Early signal · Productivity & self-hosted · TypeScript · +58 stars measured 2026-10-05, 00:06–12:33 UTC, ≈ 133 by evening A full-stack, permission-aware document library: browse document trees and parsed output, search the hierarchy, and ask source-grounded questions. Full card: https://gitnova.dev/en/r/extend-hq/jevbox.md 4. **eternity4719/HowToLiveBetter** — 5.9 · Peaking · Productivity & self-hosted · HTML · +2,021 stars measured 2026-10-05, 00:06–12:33 UTC, ≈ 3,728 by evening An evidence-based life guide: 498 recommendations on longevity, first aid, personal finance, law, employment, family and emigration. Each lists costs, benefits, evidence level and primary sources. Full card: https://gitnova.dev/en/r/eternity4719/HowToLiveBetter.md 5. **KKKKhazix/AIHOT** — 5.4 · Cooling · Productivity & self-hosted · TypeScript · +144 stars measured 2026-10-05, 00:06–12:33 UTC, ≈ 282 by evening A framework for running your own industry news site: it collects items from RSS, web pages, JSON feeds, X and WeChat, filters and scores them twice with an LLM, clusters reports into events and publishes daily briefings. Sources,… Full card: https://gitnova.dev/en/r/KKKKhazix/AIHOT.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 12:40 UTC, updated every 30 minutes.