Choose a lane.
Start with categories that show repeat demand and enough stream volume to benchmark.
Use Resellbot's current Whatnot marketplace cache to compare top categories, sellers, products, revenue, and stream activity.
Observed in the latest 30-day window.
Gross revenue across the current public cache.
Shows analyzed for live-selling signals.
Revenue divided by observed items sold.
Dataset updated through June 8, 2026.
The top observed category was Sports Cards with $200,183,742 in revenue and 5,584,014 items sold.
| Rank | Category | Revenue | Sales | Streams | Revenue / Stream |
|---|---|---|---|---|---|
| 1 | Sports Cards | $200,183,742 | 5,584,014 | 124,015 | $1,614 |
| 2 | Football Cards | $75,834,805 | 1,898,989 | 38,698 | $1,960 |
| 3 | Trading Card Games | $74,775,901 | 4,152,203 | 74,372 | $1,005 |
| 4 | Women's Fashion | $71,163,685 | 5,165,144 | 101,615 | $700 |
| 5 | Coins & Money | $37,882,517 | 822,112 | 15,352 | $2,468 |
| 6 | Pokémon Cards | $36,810,582 | 2,008,752 | 35,040 | $1,051 |
| 7 | Toys & Hobbies | $34,823,862 | 2,439,349 | 89,007 | $391 |
| 8 | Coins & Bullion | $31,328,038 | 646,330 | 11,828 | $2,649 |
| 9 | Basketball Cards | $20,799,302 | 602,971 | 14,609 | $1,424 |
| 10 | Jewelry & Watches | $17,819,615 | 824,942 | 18,386 | $969 |
| 11 | Baseball Cards | $17,155,464 | 746,621 | 16,820 | $1,020 |
| 12 | Luxury Bags & Accessories | $16,819,937 | 102,171 | 3,149 | $5,341 |
The top seller in the current cache was wethehobby with $12,024,688 in observed revenue.
| Rank | Seller | Revenue | Sales | Streams | Avg Stream Revenue | Primary Category |
|---|---|---|---|---|---|---|
| 1 | wethehobby | $12,024,688 | 15,588 | 69 | $174,271 | Football Cards |
| 2 | cardboard47 | $11,631,301 | 16,924 | 115 | $101,142 | Sports Cards |
| 3 | backyardbuzz | $9,358,811 | 16,883 | 81 | $115,541 | Sports Cards |
| 4 | backyardbreaks | $8,970,369 | 13,274 | 105 | $85,432 | Sports Cards |
| 5 | debutsports_ | $7,369,934 | 7,413 | 9 | $818,882 | Sports Cards |
| 6 | backyardrips | $5,883,600 | 17,715 | 108 | $54,478 | Sports Cards |
| 7 | chip_rips | $5,875,898 | 12,858 | 65 | $90,398 | Sports Cards |
| 8 | bleacherhits | $5,713,789 | 16,885 | 83 | $68,841 | Football Cards |
| 9 | swishbreaks | $5,023,776 | 14,994 | 93 | $54,019 | Sports Cards |
| 10 | citybreaks | $4,705,610 | 35,931 | 121 | $38,889 | Sports Cards |
| 11 | thehobbyhouse | $4,495,533 | 12,328 | 93 | $48,339 | Sports Cards |
| 12 | traderbea | $3,702,127 | 37,603 | 50 | $74,043 | Coins & Bullion |
The top product keyword was Gtd Case Hit with $19,691,509 in observed revenue.
| Rank | Item / Keyword | Revenue | Sales | Median Price | Trend | Category |
|---|---|---|---|---|---|---|
| 1 | Gtd Case Hit | $19,691,509 | 61,452 | - | -26.31% | - |
| 2 | Random Team Break | $14,638,947 | 223,750 | - | 77.86% | - |
| 3 | Case Topps Chrome | $14,579,678 | 77,101 | - | -61.06% | - |
| 4 | Case Hit Floor | $13,559,460 | 44,963 | - | -19.05% | - |
| 5 | Sudden Death Auctions | $13,085,369 | 55,348 | - | 9.12% | - |
| 6 | Full Case Topps | $11,078,522 | 71,687 | - | -35.48% | - |
| 7 | Topps Chrome Basketball | $7,928,608 | 103,123 | - | -48.24% | - |
| 8 | Chrome Breakers Delight | $7,337,004 | 24,656 | - | -82.38% | - |
| 9 | Case Hit Gtd | $6,639,495 | 10,734 | - | -34.97% | - |
| 10 | Topps Chrome Breakers | $6,438,607 | 14,187 | - | -85.38% | - |
| 11 | Hit Floor Boxes | $6,398,794 | 29,972 | - | -16.47% | - |
| 12 | Topps Chrome Hobby | $6,104,720 | 172,963 | - | -55.65% | - |
Start with categories that show repeat demand and enough stream volume to benchmark.
Compare seller revenue, stream count, average viewers, and primary category before copying a product mix.
Run candidate sale prices through the Whatnot fee calculator before buying inventory.
The best Whatnot opportunity is usually where demand, seller fit, item cost, and show execution all work together.
| Data view | What it tells you | Risk if read alone | Next action |
|---|---|---|---|
| Top categories | Where revenue and item volume are concentrated right now. | Large categories can be crowded and expensive to source. | Compare category volume with seller count, stream count, and your sourcing edge. |
| Top sellers | Which operators are proving a category or show format can work. | A top seller may have trust, audience, or inventory access you cannot copy. | Study the operating pattern, not only the revenue total. |
| Top products | Which product keywords are appearing in current sales. | Keywords can group different conditions, lots, variants, and buyer expectations. | Validate exact product economics in the fee calculator. |
| Opportunities | Where demand and competition signals may be more balanced. | An opportunity score still needs real sourcing and show execution. | Build a shortlist, then test small before scaling inventory spend. |