Live GMV Leaderboard · May 2026

Top 25 Whatnot Sellers 2025 — the revenue leak in each one.

$99.4M combined monthly GMV. $1.19B annualized. Every seller has an attribution gap — here's the math on each one.

All GMV data is 30-day observed from Resellbot (May 2026 snapshot). Est. ranges are sourced and cited — not asserted as facts.
$99.4M Combined monthly GMV
$1.19B Annualized GMV
$12.5M Top seller (wethehobby)
~$55K Median rev/stream
1,562 Total streams analyzed
$131M Annual fee burn (all 25)
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Sortable Leaderboard

Filter by vertical or click any column header to sort. All 25 sellers with attribution status and fee burn.

# Seller Vertical Monthly GMV Shows/Mo Avg Rev/Stream Est. Fee Burn/yr Attribution Teardown
01 @wethehobby Football Cards Football Cards $12.5M 49 $255K $16.5M/yr Partial Generate teardown → View → See Football Cards benchmarks →
02 @cardboard47 Sports Cards Sports Cards $11.0M 105 $104K $14.5M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
03 @backyardbuzz Sports Cards Sports Cards $7.3M 79 $92K $9.6M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
04 @debutsports_ Football Cards Football Cards $7.2M 8 $906K $9.6M/yr Partial Generate teardown → View → See Football Cards benchmarks →
05 @backyardbreaks Sports Cards Sports Cards $7.1M 108 $66K $9.4M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
06 @bleacherhits Sports Cards Sports Cards $5.2M 68 $77K $6.9M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
07 @chip_rips Football Cards Football Cards $4.9M 53 $92K $6.4M/yr Partial Generate teardown → View → See Football Cards benchmarks →
08 @thehobbyhouse Sports Cards Sports Cards $4.8M 87 $55K $6.3M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
09 @citybreaks Sports Cards Sports Cards $4.7M 120 $39K $6.2M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
10 @swishbreaks Sports Cards Sports Cards $4.6M 91 $51K $6.1M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
11 @backyardrips Football Cards Football Cards $4.6M 104 $44K $6.0M/yr Partial Generate teardown → View → See Football Cards benchmarks →
12 @traderbea Coins & Bullion Coins & Bullion $4.1M 50 $82K $5.4M/yr Partial Generate teardown → View → See Coins & Bullion benchmarks →
13 @daley_sports Basketball Cards Basketball Cards $3.7M 13 $281K $4.8M/yr Partial Generate teardown → View → See Basketball Cards benchmarks →
14 @eastwestsports Sports Cards Sports Cards $3.0M 57 $53K $4.0M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
15 @viprips Sports Cards Sports Cards $2.9M 52 $55K $3.8M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
16 @adudehits Sports Cards Sports Cards $2.8M 98 $29K $3.7M/yr Partial Generate teardown → View → See Sports Cards benchmarks →
17 @kksportscards Baseball Cards Baseball Cards $2.7M 61 $44K $3.5M/yr Partial Generate teardown → View → See Baseball Cards benchmarks →
18 @spacenarwhalz TCG TCG $2.5M 51 $50K $3.3M/yr Partial Generate teardown → View → See TCG benchmarks →
19 @dashlive Football Cards Football Cards $2.4M 17 $140K $3.1M/yr Partial Generate teardown → View → See Football Cards benchmarks →
20 @coolkicks Sneakers Sneakers $1.2M 7 $167K $1.5M/yr Partial Generate teardown → View →
21 @jaysjewels Jewelry & Watches Jewelry & Watches $1.5M 39 $39K $2.0M/yr Partial Generate teardown → View → See Jewelry & Watches benchmarks →
22 @invictastores Watches Watches $2.3M 62 $38K $3.1M/yr Partial Generate teardown → View → See Watches benchmarks →
23 @beautyblitzwholesale Makeup/Beauty Makeup/Beauty $1.3M 51 $26K $1.7M/yr Partial Generate teardown → View →
24 @stewsshoes Sneakers Sneakers $1.3M 53 $24K $1.7M/yr Partial Generate teardown → View →
25 @freidarothman Jewelry & Watches Jewelry & Watches $1.1M 80 $14K $1.5M/yr Partial Generate teardown → View → See Jewelry & Watches benchmarks →

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26 Seller Teardowns

Each leak is sourced from the Resellbot 30-day snapshot + featured case study subjects. Recommended actions are incrementality test frameworks — not assertions.

Rank #1
@wethehobby
Vertical: Football Cards 30-Day GMV: $12.5M Shows: 49/mo Avg Rev: $255K/stream
Est. fee burn: $16.5M/yr
The Leak
Audience depth is proven — attribution gap is in new customer acquisition channel: branded search, affiliate/referral discovery from non-Whatnot touchpoints, and cross-category exposure. At $254K/stream they're hitting their existing audience ceiling.
Recommended Action
Hold out 10% of ad budget to non-Whatnot paid channels and measure attributed GMV lift. If the attributed slice is >15% incremental, scale it.
$12.5M GMV × 11% = $16.5M/yr burn
Rank #2
@cardboard47
Vertical: Sports Cards 30-Day GMV: $11.0M Shows: 105/mo Avg Rev: $104K/stream
Est. fee burn: $14.5M/yr
The Leak
Volume efficiency paradox — 105 streams generating $104K each is good, but 2x the stream count of wethehobby while doing $150K less per stream. Cadence dilution is the leak: splitting audience across 105 shows dilutes energy per stream.
Recommended Action
Consolidate to 60–70 high-intensity shows. Measure per-stream revenue delta after 30 days. At $12M+ GMV, fewer events likely yields higher total.
$11.0M GMV × 11% = $14.5M/yr burn
Rank #3
@backyardbuzz
Vertical: Sports Cards 30-Day GMV: $7.3M Shows: 79/mo Avg Rev: $92K/stream
Est. fee burn: $9.6M/yr
The Leak
14,429 units across 79 streams (183 units/stream) suggests significant repeat-buyer cannibalization. The incrementality question: how much of the $7.3M is genuinely new buyers vs. existing buyer reactivation?
Recommended Action
Run a holdout test on returning visitor segments. Isolate first-time vs. repeat GMV. If repeat is >60%, the incremental slice is the new buyer cohort.
$7.3M GMV × 11% = $9.6M/yr burn
Rank #4
@debutsports_
Vertical: Football Cards 30-Day GMV: $7.2M Shows: 8/mo Avg Rev: $906K/stream
Est. fee burn: $9.6M/yr
The Leak
8 streams in 30 days producing $905K each is extraordinary efficiency. The leak is show scarcity — buyers can't engage regularly because there aren't enough shows. Those buyers are sitting idle between streams, purchasing from competitors.
Recommended Action
Add 8 more streams/month. At $905K/stream, even a modest $400K per new show adds $3.2M/month to GMV. Operational constraint vs. demand constraint — identify which.
$7.2M GMV × 11% = $9.6M/yr burn
Rank #5
@backyardbreaks
Vertical: Sports Cards 30-Day GMV: $7.1M Shows: 108/mo Avg Rev: $66K/stream
Est. fee burn: $9.4M/yr
The Leak
108 streams at $66K/stream is efficient but may be plateauing. The leak: are more streams generating proportionally more revenue, or is cadence diluting the audience-per-stream?
Recommended Action
Test dropping to 70–80 shows and track whether per-stream revenue improves enough to offset fewer total shows. Format concentration math.
$7.1M GMV × 11% = $9.4M/yr burn
Rank #6
@bleacherhits
Vertical: Sports Cards 30-Day GMV: $5.2M Shows: 68/mo Avg Rev: $77K/stream
Est. fee burn: $6.9M/yr
The Leak
High-ticket single items (graded cards $500+) may not be getting proper product-page support before the stream. Buyers are relying on live urgency alone — the conversion window closes when the stream ends.
Recommended Action
Build a pre-stream product page with waitlist capture for high-ticket items. Email/waitlist buyers give a 72-hour conversion window vs. live-only urgency.
$5.2M GMV × 11% = $6.9M/yr burn
Rank #7
@chip_rips
Vertical: Football Cards 30-Day GMV: $4.9M Shows: 53/mo Avg Rev: $92K/stream
Est. fee burn: $6.4M/yr
The Leak
53 streams at $92K average is solid, but the same cadence pattern appears: splitting the audience across more shows. The attribution gap is whether 10,437 buyers would convert better in fewer, higher-anticipation events.
Recommended Action
Audit highest vs. lowest revenue-per-stream shows. If the spread is >3x, run the top format at 2x frequency and cut the bottom quartile entirely.
$4.9M GMV × 11% = $6.4M/yr burn
Rank #8
@thehobbyhouse
Vertical: Sports Cards 30-Day GMV: $4.8M Shows: 87/mo Avg Rev: $55K/stream
Est. fee burn: $6.3M/yr
The Leak
87 streams generating $54K each is below top-tier average. The leak: are they running high-volume/low-price mechanics when a higher-stakes format would generate better per-stream revenue?
Recommended Action
Segment revenue by ticket size. If >50% of GMV comes from sub-$200 items, introduce a graded slab / event-tier show. Target $80K+ per stream.
$4.8M GMV × 11% = $6.3M/yr burn
Rank #9
@citybreaks
Vertical: Sports Cards 30-Day GMV: $4.7M Shows: 120/mo Avg Rev: $39K/stream
Est. fee burn: $6.2M/yr
The Leak
120 streams at $39K/stream is the lowest avg/stream in the top 10. At this cadence, buyer exhaustion is the likely culprit — the same audience is being asked to buy too often.
Recommended Action
Test reducing to 60 shows/month with 2x the average revenue per stream. If cadence compression yields +20% per-stream, the math is clear.
$4.7M GMV × 11% = $6.2M/yr burn
Rank #10
@swishbreaks
Vertical: Sports Cards 30-Day GMV: $4.6M Shows: 91/mo Avg Rev: $51K/stream
Est. fee burn: $6.1M/yr
The Leak
91-stream cadence compression: high frequency, mid-range per-stream. Basketball cards support a premium evening format — the question is whether they've tested anchoring to higher price points.
Recommended Action
Run a 'prime time' basketball show at 2x current average price point. Track whether higher price anchoring lifts per-stream revenue or shifts conversion rate.
$4.6M GMV × 11% = $6.1M/yr burn
Rank #11
@backyardrips
Vertical: Football Cards 30-Day GMV: $4.6M Shows: 104/mo Avg Rev: $44K/stream
Est. fee burn: $6.0M/yr
The Leak
104 shows at $43K on football cards is below peer average. The leak: football cards have a natural premium product cadence — are they running too many shows with too much low-price inventory?
Recommended Action
Lead each show with high-ticket graded cards instead of bulk break format. Graded card shows typically run at 3–4x the price of bulk breaks. Measure the delta.
$4.6M GMV × 11% = $6.0M/yr burn
Rank #12
@traderbea
Vertical: Coins & Bullion 30-Day GMV: $4.1M Shows: 50/mo Avg Rev: $82K/stream
Est. fee burn: $5.4M/yr
The Leak
41,262 units at $82K/stream — coin and bullion buyers are price-sensitive and likely cross-platform comparison shop. The leak: what percentage of buyers are captured from Whatnot vs. lost to other dealers on price?
Recommended Action
Run a conversion holdout on comparable products at slightly lower prices. Measure whether price reduction drives incremental volume or cannibalizes existing GMV.
$4.1M GMV × 11% = $5.4M/yr burn
Rank #13
@daley_sports
Vertical: Basketball Cards 30-Day GMV: $3.7M Shows: 13/mo Avg Rev: $281K/stream
Est. fee burn: $4.8M/yr
The Leak
13 streams generating $281K each is elite efficiency. Basketball cards at that price point should support 2x the show frequency without diluting per-stream revenue. The leak: at 13 shows/month, they leave the majority of their buyer base idle.
Recommended Action
Expand to 25–30 shows/month. At $281K/stream, even a drop to $200K per new show generates $2.4M–$3.4M additional monthly GMV. Identify the operational constraint.
$3.7M GMV × 11% = $4.8M/yr burn
Rank #14
@eastwestsports
Vertical: Sports Cards 30-Day GMV: $3.0M Shows: 57/mo Avg Rev: $53K/stream
Est. fee burn: $4.0M/yr
The Leak
57 shows at $53K average — consistent but not optimized. The question is whether fewer, higher-anchored shows would yield better per-stream returns.
Recommended Action
Compare revenue-per-stream between standard shows and event shows. If event shows outperform by >30%, shift frequency toward the higher-anchored format.
$3.0M GMV × 11% = $4.0M/yr burn
Rank #15
@viprips
Vertical: Sports Cards 30-Day GMV: $2.9M Shows: 52/mo Avg Rev: $55K/stream
Est. fee burn: $3.8M/yr
The Leak
52 streams at $55K — in line with the mid-tier sports card group. The leak is likely in new buyer attribution: are they acquiring through referral, or relying on returning buyers?
Recommended Action
Survey a sample of recent buyers: 'How did you hear about this show?' Track new vs. returning buyer mix. If returning >50%, the new buyer acquisition channel needs investment.
$2.9M GMV × 11% = $3.8M/yr burn
Rank #16
@adudehits
Vertical: Sports Cards 30-Day GMV: $2.8M Shows: 98/mo Avg Rev: $29K/stream
Est. fee burn: $3.7M/yr
The Leak
98 streams at $28.7K is a volume-play hitting a margin ceiling. At 98 shows/month, they may be oversaturating their existing audience — the incremental buyer is tapped out.
Recommended Action
Either run 120 shows at current pace, or 50 at 2x pricing. The current midpoint is the worst of both worlds — not enough shows for volume, not enough price for margin.
$2.8M GMV × 11% = $3.7M/yr burn
Rank #17
@kksportscards
Vertical: Baseball Cards 30-Day GMV: $2.7M Shows: 61/mo Avg Rev: $44K/stream
Est. fee burn: $3.5M/yr
The Leak
Baseball cards historically trade at a 20–30% discount to football and basketball on secondary markets. The leak: can they introduce higher-avg-price mechanics (graded slabs, authenticated game-worn) to lift their $44K/stream to $70K+?
Recommended Action
Source 5–10 graded slabs (PSA 9+) per month for premium shows. Track whether higher anchor items lift overall per-stream GMV above the baseball card discount.
$2.7M GMV × 11% = $3.5M/yr burn
Rank #18
@spacenarwhalz
Vertical: TCG 30-Day GMV: $2.5M Shows: 51/mo Avg Rev: $50K/stream
Est. fee burn: $3.3M/yr
The Leak
TCG buyers on Whatnot are younger, more game-aware, and price-comparison sensitive. The attribution gap: are they running gacha-style mechanics driving repeat-buyer cannibalization, or genuine new acquisition?
Recommended Action
If buyer return rate is >50%, there's a cannibalization problem — the same buyers are being resold to. Invest in new buyer acquisition to grow the pie.
$2.5M GMV × 11% = $3.3M/yr burn
Rank #19
@dashlive
Vertical: Football Cards 30-Day GMV: $2.4M Shows: 17/mo Avg Rev: $140K/stream
Est. fee burn: $3.1M/yr
The Leak
17 shows at $140K each is the fourth-best per-stream in the top 25. Same pattern as daley_sports and debutsports_: scarcity is the leak. 17 shows/month leaves buyers idle most of the time.
Recommended Action
Double show frequency to 34/month. At $140K/stream, a modest dip to $100K per new show generates $1.4M additional monthly. Operational constraint analysis required.
$2.4M GMV × 11% = $3.1M/yr burn
Rank #20
@coolkicks
Vertical: Sneakers 30-Day GMV: $1.2M Shows: 7/mo Avg Rev: $167K/stream
Est. fee burn: $1.5M/yr
The Leak
7 streams generating $167K+ each — inventory is inherently scarce. The attribution gap: do coolkicks buyers know when the next show is? If not, each stream starts from zero warm audience.
Recommended Action
Build a waitlist/alert capture system between shows. Warm audience pre-registration for stream alerts extends conversion window beyond the live event.
$1.2M GMV × 11% = $1.5M/yr burn
Rank #21
@jaysjewels
Vertical: Jewelry & Watches 30-Day GMV: $1.5M Shows: 39/mo Avg Rev: $39K/stream
Est. fee burn: $2.0M/yr
The Leak
522K followers with only 39 shows/month — that's a 92% follower engagement gap. The vast majority of their audience is not being engaged regularly. They're leaving follower equity on the table.
Recommended Action
Add 20 shows/month. At 38K/stream, 20 additional shows generate $760K/month. The incremental cost is minimal — the audience already exists and already wants to buy.
$1.5M GMV × 11% = $2.0M/yr burn
Rank #22
@invictastores
Vertical: Watches 30-Day GMV: $2.3M Shows: 62/mo Avg Rev: $38K/stream
Est. fee burn: $3.1M/yr
The Leak
Official brand account — Whatnot may route discovery differently for official vs. independent sellers. The leak: are they running dedicated Whatnot-specific drops that drive peak audience events, or treating it as one-of-many channels?
Recommended Action
A/B test a Whatnot-exclusive drop vs. simultaneous multi-channel launch. Measure attribution split between Whatnot-native and brand-originated buyers.
$2.3M GMV × 11% = $3.1M/yr burn
Rank #23
@beautyblitzwholesale
Vertical: Makeup/Beauty 30-Day GMV: $1.3M Shows: 51/mo Avg Rev: $26K/stream
Est. fee burn: $1.7M/yr
The Leak
104K units at $26K/stream is a volume model. The incrementality question: are their buyers new-to-brand or cross-buying from other Whatnot beauty sellers? Cannibalization risk is high.
Recommended Action
Develop an exclusive product line or limited-run format buyers can't find elsewhere on the platform. Differentiated inventory creates incremental non-cannibalized revenue.
$1.3M GMV × 11% = $1.7M/yr burn
Rank #24
@stewsshoes
Vertical: Sneakers 30-Day GMV: $1.3M Shows: 53/mo Avg Rev: $24K/stream
Est. fee burn: $1.7M/yr
The Leak
771K followers with 53 shows/month — at ~7% follower-to-show ratio. Sneaker buyers are brand-loyal but their waitlist capture rate between shows may be the key lever.
Recommended Action
Implement a waitlist capture system: push alert sign-ups, size waitlists, and release notifications between streams. Every warm lead captured is a sale that doesn't require a $30+ ad impression.
$1.3M GMV × 11% = $1.7M/yr burn
Rank #25
@freidarothman
Vertical: Jewelry & Watches 30-Day GMV: $1.1M Shows: 80/mo Avg Rev: $14K/stream
Est. fee burn: $1.5M/yr
The Leak
80 shows at $14K/stream is consistent and professional. For a luxury brand, the attribution gap is cross-platform brand attribution: how many buyers discovered her on Whatnot vs. came already knowing Freida Rothman?
Recommended Action
Survey recent buyers: 'Had you heard of Freida Rothman before buying on Whatnot?' If >30% are brand-originated, the non-Whatnot acquisition isn't being counted.
$1.1M GMV × 11% = $1.5M/yr burn
Rank #26
@xofashionica
Vertical: Luxury Bags & Accessories 30-Day GMV: $375K Shows: 73/mo Avg Rev: $5K/stream
Est. fee burn: $495K/yr
The Leak
TikTok and press are driving ~30% of buyer acquisition but Whatnot's last-click attribution credits the platform, not the external channel. $150K/year in fees paid on revenue that external marketing created, but that marketing spend is invisible in the P&L.
Recommended Action
UTM-enforce all TikTok/Instagram/press links to Whatnot. Measure attributed GMV from owned channels vs. platform. If TikTok generates $50K/month in attributed GMV at $5K/month content spend, that's a 10x ROAS that's currently invisible.
$375K GMV × 11% = $495K/yr burn

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