Four tools. One real dataset.
Everything below runs on the same index: 19,217 real Reddit mentions across 10 subreddits, deduplicated by user and scored by how many distinct redditors vouch for each product. No quiz walls, no email gates, no sponsored slots.
Match
Reddit Finder
Answer three questions — skin type, concern, budget — and get the products Reddit actually repurchases.Reddit Finder
- Live sentiment % under every pick
- 6 curated intent guides for the big questions
- Real quote from the thread behind each match
6 guides · live indexOpen →
Save
Dupe Finder
Premium products vs the cheaper versions redditors proved in side-by-side threads.Dupe Finder
- Savings math on every pair
- Thread co-mention counts — how often both get named together
- Quotes from people who used both
8 pairs · −79% avgOpen →
Find
Search
Live search over 323 in-stock products with concern, skin-type and price filters.Search
- Reddit-weight sort — distinct redditors, not review counts
- Every result carries a real quote
- ⌘K from any page
323 products · Reddit-weight sortOpen →
Browse
Catalog
The complete index — all 343 tracked products, faceted six ways.Catalog
- Category, concern, skin type, price, availability facets
- Same rich cards as everywhere else on the site
- Includes the out-of-stock tail Search hides
343 indexed · 6 categoriesOpen →
| You're thinking… | Use |
|---|---|
| "What should I buy for my skin?" | Reddit Finder |
| "This is great but $185 hurts." | Dupe Finder |
| "What does Reddit say about this specific product?" | Search |
| "Show me everything in one place." | Catalog |
How we count
Every number in these tools traces back to a tagged mention in a public Reddit thread — a real person naming a real product. We deduplicate by username, classify sentiment, and weight products by distinct redditors rather than raw comment volume, so one enthusiastic poster can't move a ranking. When the threads are split, the verdict says so. The full method, including what we deliberately don't count, is on the methodology page.