Amaslop for Amazon
Hide junk brands from Amazon search results
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Amazon is full of anonymous junk brands from dropshippers, who all sell the same product disguised under different brands. Amaslop hides these duplicate, junk and scam brands so you can browse through original products only. Choose how you want to flag or ignore the brands by hiding, dimming or labelling the junk listings, and add your own personal allow/blocklists. Also choose to hide sponsored ad results in the search listings too. No account is required and all detection runs offline.
PH · launched Sep 18, 2026 · 3 upvotes (top 11%) · 0 views
Niche: content filtering and quality checkers · 46 launches, 1 in the last 7 days ▼ -89% · Explore this niche →
Category and tags
- Retail & commerce
- Search & retrieval
- B2C
- Not AI
- Commercial product
- Browser Extensions
- Chrome Extensions
- Amazon
- Shopping
- OpenAI Day
Visit website ↗ Source listing ↗
More like this: all 46 launches in content filtering and quality checkers →
Could you build this?
Yes This is a straightforward browser extension (Manifest V3) that parses Amazon search result DOM elements and hides, dims, or flags listings based on a curated or pattern-matched list of brand names.
Competitors
Other products that read as similar to this one : 95 launches clear the similarity bar, closest 8 shown.
Attention rank: #6 of 96 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 137 days after the earliest competitor.
- Knockoff · ph · 2026-07-13 · 223 upvotes · similarity 0.52
- Crumb · ph · 2026-09-27 · 1 upvotes · similarity 0.46
- AdsBench · ph · 2026-09-30 · 1 upvotes · similarity 0.41
- ListOptix · ph · 2026-10-20 · 1 upvotes · similarity 0.40
- Fraudox · ph · 2026-10-09 · 1 upvotes · similarity 0.40
- Katcher · ph · 2026-10-07 · 1 upvotes · similarity 0.39
- Prime Reviews Pro · ph · 2026-10-10 · 2 upvotes · similarity 0.39
- Caveat · ph · 2026-09-21 · 2 upvotes · similarity 0.39
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.