Whatnot market data

Whatnot sales data for seller research.

Use Resellbot's current Whatnot marketplace cache to compare top categories, sellers, products, revenue, and stream activity.

Items sold 48,013,439

Observed in the latest 30-day window.

Observed revenue $906M

Gross revenue across the current public cache.

Streams 673,384

Shows analyzed for live-selling signals.

Avg sold price $19

Revenue divided by observed items sold.

Dataset updated through July 4, 2026.

Latest snapshot

Top Whatnot categories from the current cache.

The top observed category was Sports Cards with $187,423,875 in revenue and 5,510,064 items sold.

Rank Category Revenue Sales Streams Revenue / Stream
1 Sports Cards $187,423,875 5,510,064 124,543 $1,505
2 Trading Card Games $83,091,346 4,410,776 78,391 $1,060
3 Football Cards $70,039,062 1,726,257 35,079 $1,997
4 Women's Fashion $54,215,088 4,355,718 91,368 $593
5 Toys & Hobbies $32,339,735 2,350,247 88,331 $366
6 Pokémon Cards $32,040,961 1,698,492 30,226 $1,060
7 Coins & Money $31,973,584 731,026 13,165 $2,429
8 Coins & Bullion $28,715,969 682,086 12,380 $2,320
9 Jewelry & Watches $21,551,145 1,026,113 23,713 $909
10 Basketball Cards $20,324,067 571,393 13,166 $1,544
11 Luxury Bags & Accessories $18,729,232 117,418 3,635 $5,152
12 Baseball Cards $18,072,950 714,165 16,679 $1,084
Seller signals

Top observed Whatnot sellers.

The top seller in the current cache was wethehobby with $11,035,925 in observed revenue.

Rank Seller Revenue Sales Streams Avg Stream Revenue Primary Category
1 wethehobby $11,035,925 16,345 65 $169,783 Sports Cards
2 backyardbreaks $10,773,873 13,712 125 $86,191 Sports Cards
3 cardboard47 $10,346,379 16,527 126 $82,114 Sports Cards
4 debutsports_ $7,461,047 7,251 9 $829,005 Sports Cards
5 chip_rips $5,846,599 11,850 59 $99,095 Sports Cards
6 swishbreaks $5,694,347 16,970 96 $59,316 Sports Cards
7 bleacherhits $5,481,975 16,793 82 $66,853 Sports Cards
8 backyardrips $4,909,996 17,479 109 $45,046 Sports Cards
9 backyardbuzz $4,741,926 15,059 80 $59,274 Sports Cards
10 citybreaks $4,723,588 30,830 119 $39,694 Sports Cards
11 lilpullman $4,168,013 29,768 89 $46,832 Sports Cards
12 thehobbyhouse $3,977,352 13,049 104 $38,244 Sports Cards
Product demand

Top Whatnot products and keywords.

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% -
How to use this data

Turn market data into a show plan.

Choose a lane.

Start with categories that show repeat demand and enough stream volume to benchmark.

Study operators.

Compare seller revenue, stream count, average viewers, and primary category before copying a product mix.

Read the tables

Do not chase the biggest number without context.

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.