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eval__MoneyPrinterV2

Practical evaluation of FujiwaraChoki/MoneyPrinterV2. Evaluation date: 2026-03-24 Evaluator: parkzz

TL;DR

  • Current Status: Concluded
  • Current Overall Verdict: 🔴 Not recommended
  • One-line conclusion: MoneyPrinterV2 can be coerced into generating an MP4, but the upstream quickstart is broken, the pipeline requires multiple undocumented workarounds, and the resulting short is low-quality enough that this evaluation concludes the project as a failure.
  • Most important evidence: install log, C2 end-to-end result, generated MP4, C2 metadata, C1 failure note
  • Not for: anyone looking for a usable "make money online" automation system, a clean README-to-results experience, or publishable Shorts output.

Project Snapshot

Item Value
Original repo FujiwaraChoki/MoneyPrinterV2
Eval repo zinan92/eval__MoneyPrinterV2
Original positioning "An Application that automates the process of making money online."
Category Open-source AI content automation / social automation
License AGPL-3.0
Tested commit 7337133

Claims Under Test

ID Claim Level Status Evidence
C1 Install and start the main app by following the README core PARTIAL install.log, C1-startup.log, C1-startup-after-pins.log, C1-startup-with-local-config.log, failure note
C2 YouTube Shorts Automater generates short-form videos core FAIL C2 result, generated MP4, metadata, prerequisites assessment
C3 Twitter Bot can generate and schedule posts core SKIP evaluation intentionally stopped after C2 failure
C4 Affiliate Marketing works across Amazon and Twitter core SKIP evaluation intentionally stopped after C2 failure
C5 Local businesses and cold outreach workflow is usable core SKIP evaluation intentionally stopped after C2 failure
C6 Documentation is sufficient for a new user to complete minimum validation core FAIL environment.md, install.log, C2 prerequisites assessment
C7 Outputs are usable, not just generated core FAIL generated MP4, C2 result
C8 "Automates the process of making money online" marketing FAIL derived from C2/C6/C7 failure and early termination of the eval

Test Environment

Item Value
OS macOS 26.2 (Darwin arm64)
Runtime Python 3.12.12 in .venv
Default system Python 3.13.7
Dependencies checked go present, ImageMagick installed, Ollama CLI installed
Local Ollama server initially unreachable during preflight, later configured for C2
Paid services used so far Gemini image generation API
Setup status virtualenv created, requirements installed, startup reaches menu only after eval-side compatibility pins, local config workaround, and additional C2 setup

Setup Experience

What worked

  • python3.12 is available locally, matching the README's stated version requirement.
  • config.example.json can be copied directly to config.json.
  • dependency installation completes successfully after allowing networked package resolution.
  • after pinning selenium==4.10.0 and moviepy==1.0.3, import-level startup blockers are removed.
  • with a local ollama_model value set in ignored config.json, the app reaches the main menu and cleanly exits on option 5.
  • the YouTube pipeline can be forced through to a real .mp4 artifact after additional eval-side workarounds.

What broke

  • the documented startup command python src/main.py fails on a fresh upstream dependency resolution before reaching the menu.
  • two independent runtime import blockers were confirmed:
    • selenium-firefox vs modern Selenium
    • old MoviePy import paths vs modern MoviePy
  • magick is not installed locally, which is likely to affect media-generation claims even after startup is fixed.
  • the app expects Ollama-related prerequisites that are not surfaced as part of a simple "run the app" story.
  • the flagship Shorts workflow only completed after extra monkey-patching and local setup steps that are nowhere in the README.
  • the final generated short was not good enough to treat as publishable output.

Workarounds used

  • created a local .venv with python3.12 rather than using the system python3 (which is 3.13.7)
  • copied config.example.json to config.json without filling secrets yet, just to test minimum startup behavior
  • pinned selenium==4.10.0 in the eval repo to restore selenium_firefox compatibility
  • pinned moviepy==1.0.3 in the eval repo to restore legacy moviepy.editor and fx imports
  • set ollama_model locally in ignored config.json to bypass model enumeration against a missing local Ollama service
  • applied a Pillow compatibility monkey-patch during C2 testing because MoviePy 1.0.3 still expects PIL.Image.ANTIALIAS
  • monkey-patched YouTube.__init__ during C2 testing to bypass forced Firefox startup for generation-only execution

Friction Score

5/5. The project can be pushed over the line technically, but the setup burden and undocumented workarounds are far beyond what the README implies.

Preliminary Claim Verification

C1 - Install and startup path

  • README says: clone the repo, copy config, create a venv, install requirements, then run python src/main.py
  • What I did: created .venv with Python 3.12, copied config.example.json, installed all requirements, then executed the startup command. After the initial failure, I tested minimal compatibility pins for Selenium and MoviePy and re-ran startup with a local ollama_model value.
  • What happened:
    • fresh upstream dependency resolution failed on selenium.webdriver.firefox.firefox_binary
    • after pinning Selenium, startup advanced and then failed on moviepy.editor
    • after pinning MoviePy and setting a local ollama_model, startup reached the menu and exited cleanly on option 5
  • L1 Runs: PARTIAL
  • L2 Feature works: not reached yet
  • L3 Claim holds: not reached yet
  • Verdict: PARTIAL
  • Evidence: install log, initial startup failure, startup after Selenium pin, startup after both pins, startup with local model config, import regression tests, failure note
  • Why this matters: the README's minimum validation path is not currently reproducible as written, but the app is not completely dead; it becomes runnable after multiple undocumented compatibility and local-config workarounds

C6 - Documentation sufficiency

  • README says: Python 3.12 is required and the app can be started after dependency installation
  • What I observed: Python 3.12 guidance was useful, but the README still misses critical reality: Ollama install and model pull, ImageMagick install and pathing, Songs/ setup, Gemini API setup, dependency drift in Selenium/MoviePy, and the need for non-trivial local workarounds to finish the YouTube pipeline
  • Verdict: FAIL
  • Evidence: environment snapshot, install log, startup log, C2 prerequisites assessment

C2 - YouTube Shorts Automater

  • README says: the project automates YouTube Shorts generation
  • What I did: completed the generation path through topic, script, metadata, image prompts, Gemini image generation, TTS, subtitles, and assembly, then reviewed the resulting MP4
  • What happened: after dependency pins and test-only monkey-patches, the pipeline produced a real vertical MP4, but the video quality was poor enough to treat the result as unusable
  • L1 Runs: PASS with workarounds
  • L2 Feature works: PASS in the narrow sense that an MP4 is produced
  • L3 Claim holds: FAIL
  • Verdict: FAIL
  • Evidence: C2 result, generated MP4, generation metadata, C2 prerequisites assessment
  • Why this matters: a generated file is not the same thing as a usable Short. The flagship workflow produced a low-quality result after a high-friction setup, which makes the headline value proposition fail under evaluation.

Evaluation Stop Decision

  • Decision: stop the evaluation after C2 and conclude the repo
  • Reason: the flagship content-generation workflow already failed on output quality, and the setup burden was far higher than the README suggests
  • Impact: C3, C4, and C5 are left as SKIP because continuing would not change the overall verdict enough to justify more time

Output Quality

  • Usable output generated: technically yes, practically no
  • Publishable without major edits: no
  • Consistency checked: not deeply; the first successful run was already poor enough to stop
  • Potentially oversold so far: the README overstates how directly this turns into valuable or publishable content

Evidence Index

Logs

Config Notes

Failure Notes

Output Files

Planning / Claim Map

Risks and Limitations

  • Current blocker: the upstream README path still does not reach the menu without eval-side workarounds
  • Hidden prerequisites: Ollama, ImageMagick, Songs/, Gemini API, and manual model selection are more material than the README suggests
  • External dependency risk: the project is highly exposed to third-party API, package, and browser-automation drift
  • Compliance risk: outreach and social automation claims carry account and policy risk
  • Evaluation limit: C3-C5 were intentionally not pursued after the flagship workflow failed on quality

Final Verdict

Recommendation

🔴 Not recommended

Who should use it

  • people studying how the author assembled an AI-content pipeline
  • tinkerers who are comfortable debugging dependency drift and patching local workflows

Who should avoid it

  • anyone expecting a clean README-to-results experience
  • anyone expecting publishable Shorts quality out of the box
  • anyone evaluating this as a serious "make money online" product

Would I keep using / fork / extend it?

No. This evaluation stops here. The project consumed too much setup energy for an output that was not worth shipping.

Why conclude it as a failure?

  • the upstream quickstart is broken
  • the flagship C2 workflow needs multiple undocumented fixes and local hacks
  • the resulting short is low-quality enough that "it generated an MP4" does not translate into product value
  • once the main attraction fails this hard, continuing into C3-C5 is low leverage for this eval


Original README snapshot (2026-03-24)

MoneyPrinter V2

♥︎ Sponsor: The Best AI Chat App: shiori.ai. Use code MPV2 for 20% off.


𝕏 Also, follow me on X: @DevBySami.

madewithlove

Buy Me A Coffee GitHub license GitHub issues GitHub stars Discord

An Application that automates the process of making money online. MPV2 (MoneyPrinter Version 2) is, as the name suggests, the second version of the MoneyPrinter project. It is a complete rewrite of the original project, with a focus on a wider range of features and a more modular architecture.

Note: MPV2 needs Python 3.12 to function effectively. Watch the YouTube video here

Features

  • Twitter Bot (with CRON Jobs => scheduler)
  • YouTube Shorts Automater (with CRON Jobs => scheduler)
  • Affiliate Marketing (Amazon + Twitter)
  • Find local businesses & cold outreach

Versions

MoneyPrinter has different versions for multiple languages developed by the community for the community. Here are some known versions:

If you would like to submit your own version/fork of MoneyPrinter, please open an issue describing the changes you made to the fork.

Installation

⚠️ If you are planning to reach out to scraped businesses per E-Mail, please first install the Go Programming Language.

git clone https://github.com/FujiwaraChoki/MoneyPrinterV2.git

cd MoneyPrinterV2
# Copy Example Configuration and fill out values in config.json
cp config.example.json config.json

# Create a virtual environment
python -m venv venv

# Activate the virtual environment - Windows
.\venv\Scripts\activate

# Activate the virtual environment - Unix
source venv/bin/activate

# Install the requirements
pip install -r requirements.txt

Usage

# Run the application
python src/main.py

Documentation

All relevant document can be found here.

Scripts

For easier usage, there are some scripts in the scripts directory, that can be used to directly access the core functionality of MPV2, without the need of user interaction.

All scripts need to be run from the root directory of the project, e.g. bash scripts/upload_video.sh.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us. Check out docs/Roadmap.md for a list of features that need to be implemented.

Code of Conduct

Please read CODE_OF_CONDUCT.md for details on our code of conduct, and the process for submitting pull requests to us.

License

MoneyPrinterV2 is licensed under Affero General Public License v3.0. See LICENSE for more information.

Acknowledgments

Disclaimer

This project is for educational purposes only. The author will not be responsible for any misuse of the information provided. All the information on this website is published in good faith and for general information purpose only. The author does not make any warranties about the completeness, reliability, and accuracy of this information. Any action you take upon the information you find on this website (FujiwaraChoki/MoneyPrinterV2), is strictly at your own risk. The author will not be liable for any losses and/or damages in connection with the use of our website.

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