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FakeScan – AI-powered fake review detector for Amazon

FakeScan – AI-powered fake review detector for Amazon

by crawde·Mar 2, 2026·2 points·1 comment
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AI Analysis

●●SolidSolve My ProblemSlick

Free Fakespot replacement, but ReviewMeta and browser extensions already exist.

Strengths
  • •Fills a real gap left by Fakespot shutdown with zero-signup instant analysis.
  • •AI pattern detection (velocity, linguistic markers, rating distribution) is reasonable approach.
  • •Fast inference via Groq makes UX smooth for real-world use case.
Weaknesses
  • •Fake review detection is a solved category—Fakespot worked well; this is a rebuild, not innovation.
  • •No evidence the AI methodology outperforms existing heuristics or previous tools.
Category
SaaS
Target Audience

Amazon shoppers, consumer advocates, product researchers

Similar To

Fakespot · ReviewMeta · Trustpilot review analyzers

Post Description

After Fakespot shut down in July 2025, I built FakeScan as a free alternative. It uses AI (Llama 3.3 70B) to analyze Amazon product reviews and detect fake/manipulated ones.

How it works: paste any Amazon product URL, and it analyzes review patterns, sentiment distribution, reviewer behavior, and linguistic markers to give you a trust score and detailed breakdown.

No signup required - just paste a URL and get results. Built with Next.js, running on Groq for fast inference.

Would love feedback from the HN community on the analysis methodology and UX.

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