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 46,479,282

Observed in the latest 30-day window.

Observed revenue $885M

Gross revenue across the current public cache.

Streams 633,676

Shows analyzed for live-selling signals.

Avg sold price $19

Revenue divided by observed items sold.

Dataset updated through June 8, 2026.

Latest snapshot

Top Whatnot categories from the current cache.

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
Seller signals

Top observed Whatnot sellers.

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
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.