Knockoff filters trademark-squatting Amazon listings locally

Amazon's search results are currently plagued by a flood of randomized, mass-produced pseudo-brands, making shopping a frustrating experience. Knockoff provides a simple, privacy-first, client-side solution that relies on lightweight heuristics and plain-text lists rather than complex cloud systems.

• –Employs local linguistic scoring to identify brand names with suspicious consonant runs, all-caps strings, and missing vowels.
• –Compares Amazon store names against a curated register of 5,000+ established brands, which is refreshed daily.
• –Features three strictness levels (Relaxed, Standard, Strict) and allows toggling to hide sponsored ads.
• –Open-sourced under the Fair Source License (FSL-1.1-MIT) so community members can easily update the lists via GitHub.