How We Identify the Best Finds
The "best finds" on the Cnfans spreadsheet are identified by a combination of factors: view count (a proxy for community interest and repeat traffic), Reddit post upvotes and positive QC reviews, verified QC data in our system, and price-to-quality ratio assessments from experienced community members.
For 2025, the community has shifted toward certain trends: value-focused finds under $30 USD, mid-luxury designer reps in the $40-80 range, and an explosion of interest in the jersey category following major sports seasons. Here's what's hot across each major category.
Shoes: The All-Time Community Favorites
These shoe categories consistently dominate views and community discussion:
- Air Jordan 1 High OG in classic colorways (Bred, Chicago, Royal) — the perennial spreadsheet leader
- Nike Dunk Low in seasonal colorways — strong community QC feedback, diverse seller options
- Adidas Yeezy 350 V2 in Zebra and Onyx — among the most-requested items monthly
- New Balance 550 in cream/white — clean minimal aesthetic with strong QC scores at mid-range price
- Air Force 1 Low in Triple White and Black — huge volume, very competitive pricing, great entry point
- Nike Air Max 90/95 in vintage colorways — gaining momentum in 2025
Clothing: What's Trending in 2025
The clothing categories on the Cnfans spreadsheet reflect broader streetwear trends with a 6-12 month lag from retail:
Hoodies & Sweaters: Fear of God Essentials remains dominant. BAPE shark hoodies continue strong. North Face half-zip fleece reps have surged in Q1 2025.
T-Shirts: Vintage-inspired graphic tees are the growth story of 2025. Chrome Hearts tees, CDG PLAY heart logos, and Supreme box logos remain the consistent sellers.
Jackets: The Moncler puffer category has seen significant quality improvements. Arcteryx GORE-TEX shell reps are a 2025 breakout category.
Sets: Matching tracksuit sets from Nike Tech Fleece and Adidas firebird are perennial spreadsheet staples.
Accessories and Headwear
Smaller items often represent the best value on the spreadsheet: