Real Reviews. Smart Rankings.

1. Data Collection & Filtering

We ingest posts and comments from hundreds of product-focused subreddits. Each mention is deduplicated, stripped of spam and bot content, and mapped to a specific product SKU using fuzzy entity matching. Only first-hand owner experiences pass our relevance filter. Generic hype, affiliate pitches, and unverified claims are discarded.

2. Sentiment & Context Analysis

Every qualifying mention is scored across multiple dimensions: overall sentiment polarity, endorsement strength, ownership confidence, and specificity depth. Context-aware NLP distinguishes "I love mine" from "my friend loves his" and weights them accordingly.

3. Weighted Ranking Algorithm

Final scores combine: recommendation volume, praise-to-complaint ratio, endorsement specificity, recency decay, source authority, and cross-thread consensus. Products are evaluated on the quality and conviction behind every mention, not just counted.

4. Transparency & Verification

Every recommendation links directly to its original Reddit source. No black-box scores, no hidden methodology. Click through to read the full context, verify the sentiment yourself, and see exactly why a product ranks where it does.