As developers, we spend a lot of time reviewing tools, libraries, and products online, and Amazon reviews are often the first thing we check.
But lately, I noticed something frustrating:
⭐ Products with thousands of reviews but poor real quality
🧠 Reviews that look human, yet feel suspicious
🤖 Repeated phrases, patterns, and timing that don’t add up
So I built a Chrome extension to answer one simple question:
“Can we algorithmically judge how trustworthy Amazon reviews really are — without sending data to any server?”
That project became TrustRadar.
❓ The Problem With Amazon Reviews
Amazon reviews are valuable — but they’re also easy to manipulate:
- Paid review farms
- Incentivized “verified” reviews
- Burst patterns (hundreds of reviews in short time windows)
- Generic praise with no real product usage
For a human, spotting this across hundreds or thousands of reviews is exhausting.
For a program? Much easier.
🛠️ What TrustRadar Does
TrustRadar analyzes reviews directly inside your browser and gives you:
✅ Trust Score (0–100)
⚠️ Risk Flags (patterns commonly linked to fake reviews)
📊 Review distribution analysis
🧠 Buy / Consider / Not recommend
🔍** How the Analysis Works (High-Level)**
Without going into proprietary details, TrustRadar looks at:
- Review Authenticity Signals
- Review length vs substance
- Generic wording frequency
- Repeated phrase patterns
- Review timing clusters
- Reviewer Credibility
- Verified purchase ratio
- Reviewer activity patterns
- Media-backed reviews (images/videos)
- Behavioral Patterns
- Sudden review spikes
- Rating distribution anomalies
- Helpful-vote consistency
Each signal contributes to a weighted trust score, not a binary “fake / real” decision.
TrustRadar works entirely offline after installation.
Your Amazon page → your browser → your decision.
🚀 Current Status
✅ Approved on Chrome Web Store
✅ Live and usable
🚧 Actively improving detection logic
🚧 UI/UX refinements in progress
This is still an evolving side project, and I’m actively listening to feedback from both developers and regular shoppers.
🤝 What I’d Love Feedback On
If you’re a dev, I’d especially love thoughts on:
Signal weighting ideas
Edge cases you’ve seen with reviews
UI clarity (does the score feel trustworthy?)
False positives vs false negatives
🔗 Try It & Share Feedback
If you want to try it:
(https://chromewebstore.google.com/detail/hgnlhnjkenedenmhngkfdnfclmmocock?utm_source=item-share-cb)
Search TrustRadar on the Chrome Web Store
Or test it on any Amazon product page
If you’re building something similar or thinking about local-first browser tools, I’d love to connect.
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