Purifying Your Amazon Experience with Knockoff

Knockoff is designed to transform Amazon into a marketplace where only brands with an actual reputation to protect remain. It systematically scrubs "trademark-squatting" pseudo-brands—those nonsensical names like SZHLUX or HORUSDY—from your search results.

Get Started: [Add to Chrome] | [Star on GitHub] License: Free, Fair Source (FSL) $\cdot$ No account required $\cdot$ Zero tracking.

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The Problem: Search Result Pollution

When you search for a common item, like a dog bed, Amazon often floods the page with generic, randomly named entities.

Example Search: amazon.com/s?k=dog+bed

Result: 25 items filtered. Junk is either flagged, dimmed, or completely removed.

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How the Engine Works

The entire appraisal process happens locally within your browser every time a page loads. The logic follows this flow:

The Technical Heuristics

To identify unknown brands, Knockoff analyzes the "linguistic signature" of the name. We can represent the probability of a brand being a "pseudo-brand" ($P_{pseudo}$) based on features like: $\text{Score} = \sum (\text{ALL\_CAPS}) + \text{Consonant\_Clusters} - \text{Vowel\_Density}$

Specifically, it looks for:

• ALL-CAPS strings of a specific "squat-length."
• A noticeable absence of vowels.
• Unpronounceable sequences of consonants.

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Customization & Control

You have total authority over how your results are displayed.

• Adjust Strictness: Choose between Relaxed, Standard, or Strict modes.
• Visual Filtering:
  • Hide: Listings vanish (though a one-click reveal is available).
  • Dim: Items fade into the background until you hover over them.
  • Label: A warning chip is attached to the listing.
• Ad Removal: A single toggle allows you to strip out all Sponsored listings.
• Personal Lists: You can manually trust or block any specific brand.

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Community-Driven Accuracy

Because the brand lists are simple plain-text files, the community can maintain them with extreme efficiency.

Reporting a mistake is simple:

1. Use the one-click report tool inside the extension.
2. A curated list is updated.
3. The fix reaches all users within 24 hours without needing a browser update.

For developers, fixing a misclassification is as simple as a one-line Pull Request:

- EHEYCIGA
+ GenuineBrandName

Whether you are adding new brands, refining the heuristics, or reporting errors, the system is built to be transparent and collaborative.