Fraudly.app
See it. Check it. Trust it.
We've been shipping a lot over the past few weeks, and Fraudly has evolved far beyond a simple website checker.
✨ What's new
🔍 Check Anything
You can now check suspicious websites in multiple ways:
Paste a URL
Scan QR codes
Analyze screenshots
Detect links inside photos using on-device OCR
Scan copied links from your clipboard
🛡️ Improved Trust Profiles
Every scan now provides a much richer explanation, including:
Website Safety
Shopping Risk
Business Legitimacy
Reputation
Scan Completeness
Instead of a single score, users can understand why a website appears trustworthy—or why caution is advised.
🌍 Better localization
Fraudly is now fully localized across six languages with native-feeling translations and improved language detection throughout the app and website.
⚡ Performance improvements
We've continued optimizing scan speed, caching, analytics, and overall reliability while making the interface significantly smoother.
📈 SEO & Web
The website has seen substantial improvements:
Better structured data
Improved international SEO
Hundreds of pages now indexed
Richer trust reports
Faster loading times
Better accessibility
💳 Premium is now live
Fraudly Premium is available on both iOS and Android, offering unlimited scans, deeper analysis, AI-powered explanations, and advanced trust insights.
🔌 Browser protection
Our Chrome and Microsoft Edge extensions provide instant website trust checks directly while browsing.
We're still in the early stages, but it's exciting to see steady growth in organic traffic, new backlinks, and our first paying subscribers.
Our mission remains simple:
See it. Check it. Trust it.
If you'd like to try Fraudly:
🌐 Website: https://fraudly.app
🍏 iPhone: https://apps.apple.com/us/app/fraudly-scam-detector/id6768437414
🤖 Android: https://play.google.com/store/apps/details?id=app.fraudly.mobile
🧩 Chrome Extension: https://chromewebstore.google.com/detail/fraudly-website-trust-che/fdidhkgcmkploccimjhfbdabmakejmlf
I'd love to hear your feedback—especially from fellow indie hackers building security, AI, or privacy-focused products.
We just added "Possible Dropshipping" detection to Fraudly
One thing we kept noticing while analyzing thousands of website scans was that many users weren't necessarily asking:
"Is this website a scam?"
They were asking:
"Why is shipping taking 4 weeks?"
"Why can't I find who owns this store?"
"Why does this product photo appear on 20 different websites?"
The answer wasn't always fraud.
In many cases, the store appeared to be operating as a dropshipping business.
So this week we launched a new Possible Dropshipping signal inside Fraudly.
Instead of labeling a site as risky, we now analyze public signals such as:
• Shipping transparency
• Delivery time disclosures
• Marketplace fulfillment indicators
• Supplier-related patterns
• Store infrastructure signals
When enough indicators are present, users see a neutral:
"Possible Dropshipping"
The goal isn't to discourage dropshipping.
The goal is to give consumers more context before they buy.
A site can be legitimate and still be a dropshipping store.
Building trust tools has taught me that users often need context more than a simple green or red score.
Curious:
Do you think consumers should know when a store is likely using a dropshipping model?
#buildinpublic #saas #ecommerce #trust #startup
Every day, people are exposed to scam websites, phishing links, and fake online stores. Yet many scams still look convincing enough to fool even experienced internet users.
That's why I built Fraudly.
Simply paste a website URL and Fraudly analyzes reputation, security signals, reviews, domain information, and scam indicators to help you decide whether a website can be trusted.
✅ Instant trust score
✅ Scam and phishing detection
✅ Website and webshop checks
✅ Simple explanations, no technical jargon
My goal is simple: help people stay safer online before they click, buy, or share personal information.
I'd love your feedback and suggestions as we continue improving Fraudly.
http://fraudly.app/ios
See it. Check it. Trust it.
#Fraudly #CyberSecurity #OnlineSafety #iOS #Startup #IndieHacker #ScamPrevention
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This is a real trust problem, especially now that scam sites and fake stores are getting polished enough to look normal at first glance. The strongest angle here is not just “scan a URL.” It is giving regular users a quick trust decision before they click, buy, or share anything sensitive.
I would keep the positioning very sharp around that decision moment: “Should I trust this site?” That is much easier to remember than a long list of security checks.
One thing I’d pressure-test early is the brand frame. Fraudly is clear and easy to understand, but it also sounds slightly consumer-playful for a product dealing with phishing, scam detection, online safety, and purchase trust. If this grows beyond a simple iOS utility into a broader website trust layer, the name may need to carry more security weight.
Vroth .com would fit that direction better because it feels harder-edge and more serious for cybersecurity, scam detection, phishing checks, trust scoring, and website risk signals under one stronger brand.
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Thanks for the thoughtful feedback — I agree with the core point.
My goal with Fraudly is not to expose users to dozens of technical checks, but to answer a simple question in a few seconds:
"Should I trust this website?"
The underlying analysis may include phishing intelligence, reputation signals, domain information, fulfillment indicators, and other risk checks, but the user shouldn't need to understand all of that to make a safer decision.
Regarding the brand name, that's an interesting perspective. I chose Fraudly because it immediately communicates the problem we're trying to solve. Most consumers instantly associate it with fraud prevention and website safety, whereas more security-oriented names often require explanation.
That said, as the platform evolves beyond a simple URL scanner into browser protection, business monitoring, impersonation detection, and trust intelligence, it's important that the product also feels professional and credible. That's something I'm continuously working on through the product experience and trust model.
Appreciate you taking the time to share your thoughts — feedback like this helps challenge assumptions and improve the product.
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That makes sense. Fraudly is clear for the first version.
The part I would not ignore is that you already described a much bigger product than “fraud prevention.”
Browser protection, impersonation detection, business monitoring, trust intelligence, and website risk signals are closer to a security infrastructure layer than a simple consumer scanner.
That is where the name decision becomes expensive.
Fraudly helps people understand the first use case fast, but it may also keep the product mentally boxed into “fraud checker” even as the platform gets more serious.
That is why I brought up Vroth.
Vroth gives the broader version a harder security shell without forcing the product to stay tied to the word fraud.
If that expansion is genuinely where you are taking it, I would decide on the brand shell before users, browser surfaces, trust pages, and business monitoring assets get too baked into Fraudly.
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Thanks for the thoughtful feedback. I completely understand the concern.
For now, I've intentionally chosen Fraudly because the primary goal is helping everyday users quickly understand what the product does. In the early stages, clarity is incredibly valuable.
That said, I agree that the long-term vision is broader than a website scam checker. We're already building towards browser protection, business awareness training, website monitoring, impersonation detection, and trust intelligence capabilities.
My current thinking is to keep Fraudly as the umbrella brand while expanding the product suite underneath it. That allows us to stay clear and approachable for consumers today without losing the ability to grow into a larger trust and security platform over time.
I appreciate you raising the point though—brand decisions become much harder to change once a product gains traction, so it's definitely something I continue to think about.
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That’s fair.
If Fraudly stays as the umbrella brand, the main thing I’d watch is making sure the broader trust-intelligence direction does not get hidden under the first “fraud checker” use case.
At some point the positioning may need to show both: simple enough for everyday users, serious enough for browser protection, monitoring, and impersonation detection.
But your current reasoning makes sense for the early stage.
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