We are a team of students and developers committed to bringing transparency back to e-commerce.
In an era where 40% of online reviews are estimated to be fake or incentivized, consumers are losing trust in star ratings.
Our mission is simple: to restore that trust. We provide a transparent, algorithmic "Trust Score" for every product, helping you distinguish between genuine buyer feedback and paid promotion.
We do not just count stars. Our Python-based AI engine scrapes the latest 100 reviews in real-time and analyzes them using advanced data patterns:
Detecting "copy-paste" bot patterns where the same phrase is used across hundreds of accounts.
Flagging low-effort, one-word reviews or accounts that review 50 products in a single hour.
Identifying excessive punctuation (!!!) and unnatural, overly enthusiastic praise typical of paid reviewers.