mmdoctor/google-pro-helper

What it does

This repository collects two related tools for stacking Google AI Pro free-trial offers on Google accounts. The first is a Chrome extension that guides a user through the offer flow on one.google.com/plans; the second is a local batch console that automates signing in, binding a card, and applying multiple free offers per account README.

The extension version is aimed at a single account and follows the original write-up on linux.do about injecting an offer token linux.do post. The batch version targets Windows users who want to run the same flow across many imported accounts from a local web console.

Quick start

Both versions ship as separate folders: extension and batch directory layout.

For the extension version, open Chrome's extension manager, enable Developer mode, choose "Load unpacked", and select the extension directory extension folder. Then visit one.google.com/plans and follow the in-extension steps, choosing the 12-month offer first and stacking the 6-month offers as described in the README.

For the batch version, the prerequisites are Windows 10/11, Chrome installed at its default path, Python 3.10+ on PATH, and a US proxy or a proxy entry in the console environment. On first use, double-click 1_首次运行_安装依赖并启动.bat; afterwards run 2_启动控制台.bat. The console opens automatically at http://127.0.0.1:8765 startup steps. In the console, fill in the card, save, import accounts in one of the supported email----password----... formats, and click run card and import.

Constraints and risks

• The batch console uses the current Python environment rather than a dedicated virtual environment, so dependencies are not truly isolated isolation notes.
• Account passwords, 2FA secrets, card details and browser profiles are sensitive and should stay out of the repository.
• The README itself warns not to use a primary account and notes that mass redemption may be short-lived; the "zero cost for two years" outcome is a project goal, not a verified result batch intro.
• The flow depends on Google's checkout and regional offer behavior; the README notes that some add-on offers are limited to a handful of countries.
• No license is declared.

HotRepo's take

The project only entered HotRepo's new ranking once, on 2026-11-05, with 102 stars and 72 forks in the Python list. The fork-to-star ratio is unusually high, which fits a repo that people clone to run locally rather than star for reference. There is no daily all-language rank to cite, so the single snapshot is the only basis for observation. Given the account and payment automation, treat the badge as attention, not endorsement.