
FakeScan.site
Fakespot
ReviewMeta.com
FakeFind.ai
Null Fake
RateBud
StackTips 2.0
FakeScan.site
StackTips 2.0StackTips 2.0 might be a bit more popular than FakeScan.site. We know about 4 links to it since March 2021 and only 3 links to FakeScan.site. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
After trying out various review analysis tools and finding them to be ineffective, I decided to take matters into my own hands. I built FakeScan (https://fakescan.site) in just 30 days, leveraging the power of AI to detect fake Amazon reviews. In this article, I'll share my journey, the challenges I faced, and how FakeScan works. - Source: dev.to / 5 months ago
I built all of this into FakeScan โ paste any Amazon product URL and it runs these analyses in real time. It's free for 5 scans/day. - Source: dev.to / 5 months ago
FakeScan is a tool that I built to solve a real problem that affects us all. It's not perfect, but it's a start. By using AI to detect fake Amazon reviews, I hope to make online shopping a more trustworthy and transparent experience. So, what are you waiting for? Try FakeScan today at https://fakescan.site and let me know what you think. Your feedback will help me make it even better. - Source: dev.to / 5 months ago
Originally published at http://stacktips.com. - Source: dev.to / over 2 years ago
Today, I am excited to take a giant leap forward in my journey by open-source the codebase of my blog stacktips is now available on GitHub. - Source: dev.to / almost 3 years ago
Now I am running this blog stacktips.com. It is a custom-built site, using Python, Django, and VueJS. - Source: dev.to / almost 3 years ago
Prefix="og: https://ogp.me/ns#"> StackTips - Resources for Developers property="og:url" content="https://stacktips.com"> property="og:type" content="website"> property="og:title" content="StackTips- Resources for Developers"> property="og:description" content="StackTips provides developer friendly ways to learn programming. We aim to teach developers in the most efficient ways... - Source: dev.to / almost 3 years ago
Fakespot - Fakespot spots, analyzes and identifies fake reviews - helping you out when buying stuff online
ReviewMeta.com - Copy & Paste any Amazon product URL for a detailed review analysis, including a recalculated...
FakeFind.ai - FakeFind is a free, AI-powered Amazon review checker that detects fake reviews, scams, and manipulated ratings.
Null Fake - Analyzes Amazon product reviews for authenticity using AI, scrapes reviews directly, calculates fake review percentage with OpenAI, gives grades, explanations, and ratings, shows real-time progress, optimizes bandwidth, uses captcha, and caches resuโฆ
RateBud - AI-powered Amazon review analysis. Get a trust score before you buy.