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GitHub seismograph — discoveries and growing interest

chenjin-cmd/wechat-graphic-monetization

Productivity & self-hosted
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wechat-graphic-monetization

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About the project

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.

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

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

3.1 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 5, 2026, 12:02 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

02550September 27, 2026October 5, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-05 (UTC), 10:59–11:49: 88 → 88 stars (+0). This is the change over that interval.
  • Estimated end-of-day forecast: about +8 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.
  • Top new repositories this week: #144.

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Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
88
Today
+0 stars measured 2026-10-05, 10:59–11:49 UTC, ≈ 8 by evening
Forks
9
Issues and pull requests
0
Watchers
0
License
MIT
Created
October 3, 2026
Last push
October 3, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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GitNova: 3.1
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