Knockoff

Amazon, without the knockoffs

Browser ExtensionsGitHubAmazonShopping

▲ 200 votes20 commentsLaunched Jul 13, 2026

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Daily #5Weekly #6

Knockoff filters the trademark-squat pseudo-brands (the SZHLUXes and HORUSDYs) out of your search results, so what's left is brands with a reputation to lose.

AI Analysis

📝 Summary

Knockoff is a browser extension that filters trademark-squatting pseudo-brands (e.g. SZHLUX, HORUSDY) from Amazon search results, displaying only reputable brands with something to lose. It solves the core pain of cluttered results filled with low-quality knockoffs that waste time and lead to disappointing purchases. The USP is its reputation-based curation for a cleaner, higher-trust shopping experience on Amazon without needing manual sifting or review analysis.

📈 Market Timing

Favorable in 2025-2026 as counterfeit proliferation on Amazon continues amid booming e-commerce, with rising consumer frustration over fakes, stronger IP enforcement trends, and mature browser extension ecosystems. AI-driven personalization and demand for quality tools align perfectly. Excellent Timing.

✅ Feasibility

High. Low technical difficulty as a Chrome extension using content scripts, blocklists and simple heuristics. Minimal dev/ops costs, no supply chain issues; compliance limited to extension store rules. Easily scalable via updated brand databases. Strong team fit for solo or small dev teams.

🎯 Target Market

Primary segments: Frequent US Amazon shoppers aged 25-55, middle-income, brand-conscious consumers tired of counterfeits; extends to UK/EU Amazon users. TAM within $600B+ global e-commerce tools, SAM ~30-50M quality-focused Amazon users, SOM 2-5M potential adopters. Pain: poor quality fakes and review fatigue. Moderate-to-high willingness to pay for reliable filters via freemium.

⚔️ Competition

Low. Direct competitors: 1. Fakespot (fakespot.com), 2. ReviewMeta (reviewmeta.com), 3. CamelCamelCamel (camelcamelcamel.com) for price tracking, 4. Generic Amazon review analyzers. Advantages: proactive brand filtering vs reactive review scoring, simpler UX, strong reputation focus. Disadvantages: dependency on maintained blocklists; narrower scope than multi-feature tools.

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