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How It Works
Finding a reliable steroid source is genuinely difficult. Forums are full of shill accounts, paid promotions and outdated information. Even well-known sources can decline in quality over time — and there is no centralised place to track that.
Source.reviews was built to fix that. We provide a neutral, community-driven platform where every review is moderated by a human, every score is calculated transparently, and no source can pay to improve its ranking.
Whether you are a first-time buyer or an experienced user, you deserve accurate, up-to-date information. That is what we are here to provide.
1. Step
To confirm that consumers who visit the platform and post comments are real people, users are verified via their phone number or email address before comments are published.
2. Step
Source.reviews has trained the artificial intelligence module on Amazon Sagemaker using thousands of reviews found on the internet, and a quality score is calculated for all reviews to obtain an overall assessment of the business or brand.
3. Step
Comments sent unsolicited through the platform are limited to a maximum AI quality score of 20%, while comments sent through invitations are limited to a minimum AI quality score of 50%.
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Source.reviews trained the artificial intelligence module on Amazon Sagemaker using thousands of comments found on the internet, and all comments are evaluated on this module to obtain results. At this stage (NTM), Sequence-to-Sequence, Naive Bayes, NGram Analysis, and Sentiment Analysis algorithms are used. Additionally, multiple factors such as the reviewer's location, grammar errors, content quality, online/local sales, and others are used to obtain a quality score.
The Process
For a source with 4 reviews, the Trust Score is calculated using the following weighted formula:
Source.reviews Score = (R1 × Q1 + R2 × Q2 + R3 × Q3 + R4 × Q4) / (Q1 + Q2 + Q3 + Q4)
Review 1
Rating
AI Quality Score
86%
Review 2
Rating
AI Quality Score
4%
Review 3
Rating
AI Quality Score
94%
Review 4
Rating
AI Quality Score
8%
Result with this data
Source.reviews Score = (((3 × 20) × 86) + ((3 × 20) × 4) + ((5 × 20) × 94) + ((1 × 20) × 8)) / (86 + 4 + 94 + 8)
= 3.90 / 5
Traditional calculation
If the same reviews were calculated using a simple average:
(3 + 3 + 5 + 1) / 4 = 3.75
Why it matters
A simple average would produce an unfair score — both for buyers seeking accurate information and for sources whose reputation depends on genuine, high-quality reviews being weighted correctly.
This weighted formula ensures that buyers see a score that truly reflects real experiences, and helps sources build their reputation based on the quality of genuine reviews — not the volume of low-quality ones.
Browse the full rankings, read verified reviews and make an informed decision.