About Null Fake
Free, open-source Amazon fake review detection powered by AI. Built for consumers, by developers who care about transparency.
Our Mission
Fake reviews are a massive problem on Amazon and other e-commerce platforms. Studies show that up to 42% of reviews on some products may be inauthentic, costing consumers billions in wasted purchases on low-quality products.
Null Fake was created to level the playing field. We believe consumers deserve free, transparent tools to identify fake reviews without hidden costs, usage limits, or privacy concerns.
Our goal: Make fake review detection accessible to everyone, everywhere, for free.
Who We Are
Null Fake is developed and maintained by Shift8 Web, a Toronto-based web development agency specializing in AI integration, custom web applications, and open-source solutions.
Our Expertise
- AI and machine learning integration
- Natural language processing
- Web scraping and data analysis
- Laravel and PHP development
- Open-source software development
Our Values
- Transparency and open source
- Privacy and user rights
- Free access to essential tools
- Consumer protection
- Continuous improvement
Why We Built This
The Problem: Existing fake review checkers either charge money, require accounts, have usage limits, or operate as black boxes without explaining their methodology.
Our Solution: We built Null Fake to be completely free, require no sign-up, have no usage limits, and be fully transparent about how it works. The entire codebase is open source on GitHub.
The Technology: We leverage advanced AI language models (OpenAI GPT, DeepSeek, Ollama) combined with statistical analysis and pattern recognition to identify suspicious reviews with high accuracy.
The Result: A tool that anyone can use, anywhere, anytime, to make better purchasing decisions on Amazon.
Open Source Commitment
Null Fake is released under the MIT License and available on GitHub. This means:
- Anyone can view the source code and verify what we do
- Developers can fork the project and create their own versions
- Security researchers can audit our code for vulnerabilities
- The community can contribute improvements and bug fixes
- You can self-host your own instance if desired
We believe transparency builds trust. If you're technically inclined, we encourage you to review our code and methodology.
What We Don't Do
We Don't Sell Your Data
We don't collect personal information, create user profiles, or sell any data to third parties. Ever.
We Don't Track Users
No accounts mean no tracking. We use Google Analytics for aggregate traffic stats only.
We Don't Have Premium Tiers
Everything is free. No freemium model, no upsells, no hidden paywalls.
We Don't Work With Sellers
We don't accept payment from Amazon sellers to manipulate results or remove analyses.