August 2026 · 141 launchpads measured on one ruler: fees.
August 2026 data. Measured on one metric only: fees. Token issuance has climbed back to 57% of its all-time peak. The terminals people use to find those tokens are still stuck at 29%. This report measures where that gap sits and what is left unoccupied. Sources: DefiLlama Fees API (all 141 protocols in the Launchpad category, pulled 2026-08-29), full on-chain event scans of Flap (BSC), Pons V1 and pools.trade (Robinhood Chain), the official ponsfamily.com analytics and graduated list (2026-08-30), launch.o1.exchange, plus official documentation from pump.fun, o1 and Hyperliquid. Every number below is either measured directly or derived from a stated formula. Where something could not be verified, the final section says so.
Two things get mixed constantly: how far something has fallen from its peak, and how far it has bounced off its bottom. They point in opposite directions and can both be true at once. Everything below uses one ruler: percentage of that segment's own all-time monthly peak fee revenue.
| Segment | Jan 2025 peak | Jun 2026 trough | Aug 2026 | % of own peak |
|---|---|---|---|---|
| Issuance (launchpads) | $161.4M | 19.3% | $91.2M | 56.5% |
| Discovery (terminals/bots) | $302.6M | 14.2% | $86.7M | 28.6% |
Two things fall out of this immediately. First, in January 2025 discovery earned 65% of the two segments' combined revenue. In August 2026 it earns 48.7%. The money moved from finding tokens to issuing them. Second, issuance recovered roughly twice as far as discovery. The plumbing that produces supply has healed. The plumbing that produces demand has not.
Monthly launchpad fees, selected months: Jun 2024 $22.2M → Nov 2024 $101.6M → Jan 2025 $161.4M (peak) → Jun 2025 $61.1M → Oct 2025 $106.9M → Jan 2026 $110.7M → Jun 2026 $31.2M (trough) → Jul 2026 $71.3M → Aug 2026 $91.2M. That is a doubling off the June low in two months. Anyone describing this category as dead is reading a chart that stopped in June. The discovery layer, same window, tells a different story — and it is not a uniform story. Broken out per platform, from each one's own peak to August 2026:
| Platform | Own peak | Aug 2026 | % of own peak |
|---|---|---|---|
| tradeXYZ | $9.54M (Jul 2026) | $7.33M | 76.9% |
| Terminal | $6.33M (Jan 2026) | $3.89M | 61.3% |
| GMGN | $44.62M (Oct 2025) | $24.19M | 54.2% |
| Axiom | $92.66M (May 2025) | $29.69M | 32.0% |
| DEX Screener | $27.03M (Dec 2024) | $3.58M | 13.2% |
| Maestro | $9.97M (Jan 2025) | $0.94M | 9.4% |
| Trojan | $34.55M (Jan 2025) | $1.00M | 2.9% |
| Photon | $84.59M (Jan 2025) | $0.62M | 0.7% |
| moonshot.money | $34.52M (Jan 2025) | $0.22M | 0.6% |
| BONKbot | $14.15M (Mar 2024) | $0.07M | 0.5% |
| Banana Gun | $8.94M (Mar 2024) | $8,235 | 0.1% |
| BullX | $54.65M (Jan 2025) | $445 | 0.0% |
fomo Wallet ($11.09M) and pump.fun Mobile ($3.56M) are both at their peaks right now — they are new, so their peak is today. The aggregate "28.6%" hides a purge. Axiom and GMGN together are 62.2% of the segment. BullX, at $445 for the entire month, is functionally gone. This is not a segment in a drawdown. It is a segment that changed hands.
30-day fees $45.13M, 47.0% of the entire $96.03M category. Cumulative $1.199B. Monthly trend: Jun 2026 $23.6M → Jul $28.4M → Aug $42.71M. Single-day record $15,455,966 on 2025-01-24. Over the last 24 months it has won the monthly fee crown every month except two: July 2025 (lost to BONK.fun at $33.4M, pump's share 18.8%) and October 2025 (lost to four.meme at $44.0M, pump's share 35.0%). Its monthly share has ranged from 18.8% to 93.1%. It has never lost two consecutive months.
The most repeated version of this is wrong. The bonding curve fee is not changing. It stays at 1.25%. What changes is the fee on graduated PumpSwap canonical pools, and it scales down with market cap.
Effective 2026-09-01 20:00 UTC. Source: pump-fun/pump-public-docs, docs/FEE_PROGRAM_README.md. Fee program address pfeeUxB6jkeY1Hxd7CsFCAjcbHA9rWtchMGdZ6VojVZ. Market cap for tiering is computed as virtualSolReserves × mintSupply ÷ virtualTokenReserves.
| Approx. market cap | Creator | Protocol | LP | Total |
|---|---|---|---|---|
| Bonding curve (any) | 0.300% | 0.950% | 0% | 1.25% |
| $0–85k | 0.300% | 0.930% | 0.02% | 1.25% |
| $85k–300k | 0.950% | 0.05% | 0.20% | 1.20% |
| $900k–2M | 0.750% | 0.05% | 0.20% | 1.00% |
| $5–6M | 0.550% | 0.05% | 0.20% | 0.80% |
| $10–11M | 0.300% | 0.05% | 0.20% | 0.55% |
| $20M+ | 0.050% | 0.05% | 0.20% | 0.30% |
Three readings worth keeping: The total rate falls monotonically from 1.25% to 0.30%. Bigger tokens trade cheaper.
Multi-chain protocols are split evenly across their chains; the total reconciles to $96.03M.
| Chain | Launchpads | 30d fees | Cumulative | Avg per launchpad | 30d ÷ cumulative |
|---|---|---|---|---|---|
| Solana | 43 | $50.59M | $1.575B | $1.18M | 3.2% |
| Robinhood Chain | 46 | $28.50M | $80.8M | $620k | 35.3% |
| Monad | 5 | $3.63M | $28.8M | $726k | 12.6% |
| BSC | 17 | $3.40M | $109.4M | $200k | 3.1% |
| X Layer | 4 | $2.84M | $5.8M | $710k | 49.2% |
| Base | 27 | $2.57M | $44.1M | $95k | 5.8% |
| MegaETH | 3 | $0.67M | $3.4M | $222k | 19.5% |
| Ethereum | 14 | $0.22M | $26.6M | $16k | 0.8% |
| Arbitrum | 8 | $0.19M | $25.1M | $24k | 0.8% |
| Hyperliquid L1 | 6 | $0.10M | $1.5M | $17k | 7.1% |
Read these columns as three different questions, because they answer three different things. Total fees = real volume. This is the one that matters first. Solana at $50.6M is still the market. Launchpad count = heat and competition. A chain with three launchpads does not have high average revenue because it is efficient — it has high average revenue because nobody showed up. Count is a demand signal, not a dilution signal. Average per launchpad = concentration only. Never rank chains on it. 30d ÷ cumulative = how new this chain is. Robinhood Chain earned 35.3% of everything it has ever earned in the last 30 days. X Layer, 49.2%. Ethereum and Arbitrum, 0.8% each — those two are historical. On Robinhood Chain specifically: it built the category's #2 position by pulling in 46 launchpads in about two months. That is the hottest battlefield in this market right now, and also the most crowded one. Both halves of that sentence are the same fact.
Flap's August fees were $10.59M, 3.9× July. The two most-discussed BSC tokens of the month both launched there.
It was throughput, not one hot coin. Launches went from 238k in July to 1.318M in August — 5.5×. Fee per token barely moved, $7.55 → $7.90. Over eight months, fee per token has fallen 57% (January 2026: $18.38). The two peaks diverged: fees peaked 08-20, launches peaked 08-26. The late-August surge was volume without revenue.
The trigger was the 08-13 bBroker Vault, not the 08-19 trading festival. Daily fees first jumped 08-14 → 08-15, $208,778 → $381,508 — four full days before the BNB Chain × Flap event. bBroker turned NFT minting into "buy the tax token first, and the purchase burns it," manufacturing bid-side demand for tax tokens, each trade of which pays the protocol. The festival (08-19 to 08-28, 100k USDT, 500 wallets/day above $500 volume) amplified it. The order matters: attribute the whole move to the subsidy and you conclude it ends when the subsidy ends.
Normalized against the category, ~60% was share theft. BSC launchpad fees went $4.07M → $12.15M (+199%). Flap's share went 44.2% → 85.7%; four.meme's collapsed 35.2% → 2.6%. Decomposed: $5.04M (58.5%) from share gain, $3.57M (41.5%) from category expansion. four.meme ran its own 100k USDT PnL contest in the same window and still fell 78%. The difference was not subsidy.
The tax is not a platform fee — 90% goes back to holders and burns. This is the real structural difference. FlapTaxTokenV3 does not split anything itself; once tax accumulates it calls a per-token TaxProcessor clone. The split is hardcoded in TaxProcessorBase.sol: take feeRate for the platform, then divide the remainder across project wallet / burn / liquidity / holder dividends, with the contract enforcing that the four sum to 10000.
Reading feeConfig() on-chain for four live tokens:
| Token | Platform cut | Holder dividend | Burn |
|---|---|---|---|
| Niulai | 10% | 90% | 0 |
| My Girlfriend Jing Tian | 10% | 90% | 0 |
| Sun Xiaosheng | 10% | 67.5% | 22.5% |
| MarsCoin | 10% | 90% | 0 |
Token implementation 0x024f18294970B5c76c0691b87f138A0317156422; TaxProcessor implementation 0x9fe67a78f05c6569db77e3f4d957ed67bddc9569. Each token gets its own EIP-1167 clone.
That is the answer to how Flap took share from four.meme. four.meme sells "the platform takes 1%." Flap sells "trades pay a 0–10% tax, 90% of which returns to holders and burns, and the platform keeps 10%." It is not selling an issuance tool. It is selling an automatic dividend-and-burn machine that runs for the project without a dev writing a contract.
What survives. Taking every token launched on 2026-08-20 and checking nine days later:
| Measure | Count | Share of 70,142 |
|---|---|---|
| Launched that day | 70,142 | 100% |
| Graduated | 166 | 0.237% |
| Liquidity ≥ $10,000 after 9 days | 15 | 0.021% |
| Liquidity ≥ $50,000 after 9 days | 1 | 0.0014% |
Users paid $597k in fees that day. The combined market cap of everything launched, nine days later, was $1.12M. Graduation injects 16 BNB (≈$11,010); the median surviving graduate held $5,938 nine days later, down 46%. Do not read 0.24% as "Flap's tokens are worse." Platforms with machine-made denominators all land in the 0.1%–0.24% band — Pons has graduated 407 of 349,200 lifetime launches, which is 0.117%, the same order. The real difference is absolute: Flap produces 166 graduates in a day, close to half of Pons's lifetime total of 407. Before comparing survival rates across platforms, ask whether the two denominators are the same kind of thing.
Dividing 30-day fees by cumulative fees shows which platforms are still alive:
| Platform | Cumulative | 30d | 30d ÷ cumulative |
|---|---|---|---|
| Bags | $63.9M | $1.76M | 2.8% |
| Meteora DBC | $95.3M | $0.93M | 1.0% |
| four.meme | $98.0M | $0.39M | 0.4% |
| BONK.fun | $66.9M | $0.17M | 0.3% |
| clanker | $90.7M | $0.22M | 0.2% |
| Metaplex | $48.0M | $0.08M | 0.2% |
clanker is the clearest case: $22.39M in February 2026 → $1.46M in March → $207k in August. Down 99.1% in six months while the category's total grew 32%. Every one of these platforms was, at some point inside the last 18 months, someone's obvious winner. There is no gentle decline in this category. Liquidity, attention and bot infrastructure all migrate together, and once they leave they do not trickle back.
The category gets described as "bonding curve launchpads." That covers maybe half of it.
Type 1 — Bonding curve. pump.fun, Flap, four.meme, BONK.fun, Pons. Instant issuance, price set by a formula, graduation to a DEX at a threshold. Pricing: a flat percentage of every trade.
Type 2 — Continuous / single-sided liquidity. o1, Zora. No graduation threshold at all; the token opens directly into a real AMM position. Pricing: a swap fee split among creator, platform and referrer.
Type 3 — Auction. pools.trade (4-hour CCA in 13 steps), Hyperliquid HIP-1 (31-hour Dutch auction). Price is discovered by bidding rather than by a curve. Pricing: no launch fee, revenue comes from the auction clear or from LP fees.
Type 4 — Tax token infrastructure. Flap's TaxProcessor layer. What is being sold is not issuance but the automatic dividend/burn/liquidity machinery attached to it.
Type 5 — Agent and app launchpads. Virtuals (42,000 VIRTUAL threshold, Uniswap V2 migration, LP locked 10 years, 1% fee split 70/30), Believe, Bags. Issuance is bundled with a product or an agent.
Type 6 — Compliant / institutional. Legion (30+ sales, 350k+ verified users), Securitize (Q1 2026 AUM $3.4B, quarterly volume $1.9B, 650 active funds), Ondo (TVL >$500M, cumulative volume >$9B). KYC-gated, real-asset backed, and almost entirely disconnected from the retail launchpad market above.
Pons is often described as safer because there is no migration step for the team to exit through. The premise is misread: graduation on Pons creates no new pool. Graduation itself is real and public — the official Explore page lists all 407 graduates — but nothing migrates, and the 4.2 ETH threshold is a tick mark on a progress bar rather than capital that gets injected. What the design actually changes is cost structure, not safety. With no exit channel to build toward, teams have no reason to fund the pool up front. The measured result: median liquidity among surviving Pons tokens is $3,625
Three platforms, three mechanisms, one ruler: how many launches reached the graduation threshold.
| Platform | Mechanism | Launches | Graduated | Rate |
|---|---|---|---|---|
| pools.trade (month one) | Continuous clearing auction | 2,263 | 55 | 2.43% |
| Pons (lifetime) | Locked pool, no migration | 349,200 | 407 | 0.117% |
| Flap (single day, 08-20) | Bonding curve | 70,142 | 166 | 0.237% |
The mechanisms could not be more different, and the rates differ by 20×. Sort them by denominator and the pattern is immediate: the bigger the denominator, the lower the rate. pools.trade issued 2,263 tokens in its first month and graduated 55. Pons has issued 349,200 across its entire life and graduated 407. Flap issues 70,000 in a day and graduates 166. Read that last pair again: Flap produces in one day nearly half the graduates Pons has produced in total. The absolute count is not collapsing. The ratio is. What sets the survival rate is whether the denominator was filtered, not the mechanism and not the quality of the tokens. At $0.69 per launch with zero review, the denominator is machine-made. When a launchpad quotes a graduation rate, the first question is not whether it is high or low — it is who built the denominator. ⚠️ And do not let a third-party index define either side of that fraction. DexScreener has indexed 45 of Pons's 407 graduated tokens — 11% coverage. On a new chain, "indexed" and "alive" are different facts.
Pons is the only platform in this report with both a full official dataset and a complete on-chain scan. Official lifetime figures (as of 2026-08-30, from ponsfamily.com's own Dune-backed analytics page and its public graduated list):
| Metric | Value |
|---|---|
| Lifetime launches | 349,200 |
| Graduated tokens | 407 (0.117%) |
| Lifetime volume | $3.31B |
| Lifetime protocol revenue | $4.31M |
| Lifetime creator earnings | $19.9M |
| Unique token deployers | 127,100 |
| Tier | Tokens | Market cap | Share |
|---|---|---|---|
| PONS (the platform's own token) | 1 | $152.99M | 47.7% |
| Ranks 2–10 | 9 | $91.40M | 28.5% |
| Ranks 11–50 | 40 | $52.57M | 16.4% |
| Ranks 51–150 | 100 | $16.31M | 5.1% |
| Ranks 151–407 | 257 | $7.17M | 2.2% |
Cumulatively: the top 10 hold 76.3%, the top 50 hold 92.7%, and the remaining 357 share 7.3%. Strip out the platform token and the concentration does not ease at all — among the 406 user-launched graduates, the top 10 hold 56.9% and the top 50 hold 86.2%. Three things follow. 1. The platform token is the largest single asset, not the only one. PONS at $152.99M is 8.1× the number two. But 28 non-platform tokens are above $1M, and the largest is $18.78M. 2. The dividing line sits at rank 50. The top 50 hold 92.7%; the remaining 357 share 7.3%.
0x...dEaD, not a burn() call. On-chain totalSupply() still returns 1B, so any market cap computed on total supply overstates by 29%.
Where this lands: the platform earns from 349,200 launches, of which 407 graduated and 29 cleared $1M. The platform token is priced off the width of the top of that funnel, not the quality of anything below it. How long new people keep arriving to launch tokens that go to zero is the real variable — not the buyback rate.Every alternative — auctions, sealed bids, whitelists, KYC — is better at price discovery. The bonding curve won anyway, for three reasons that have nothing to do with fairness. It removes the counterparty. No book, no bidders, no minimum raise. One person with $1 can create a market that functions immediately. Everything else in this category needs someone on the other side before it works at all. It makes failure cheap and instant. At $0.69 a launch, a team can test ten ideas in an afternoon. Zama's January 2026 sealed-bid Dutch auction drew 24,697 bids from 11,103 bidders, $118.5M committed, $44M paid, 218% oversubscribed, 62.89% refunded — an excellent auction, and one that takes weeks to run. Early entry is a real, visible advantage, and everyone can see it on the curve. This is the part that sustains it. The curve makes the payoff for being early legible in a way an auction never does. Enough participants act on the belief that they are early rather than last for the mechanism to keep clearing. That third reason is also the mechanism's honest description of itself. Nothing about the design is hidden. The curve is published; anyone can read where they are on it.
Worth studying as a design, and as a warning. Single-sided Uniswap v4, tickSpacing 200, opening FDV ≈$4,000, no graduation threshold. The 1% swap fee splits creator 50% / platform 30% / referrer 20%. Anti-sandwich protection decays from 99% to 1% over 16 seconds. Revenue: 24h $229,826, 30d $1,948,633, cumulative $2,867,547. Its own terminal contributes $46,710 over 30 days — 2.4%.
Everything above competes on making issuance cheaper. Hyperliquid went the other direction, and it belongs in this survey precisely because it is the complement to everything else.
HIP-1: a 31-hour Dutch auction, starting at 2× the previous clearing price, floor 500 HYPE. Genesis holders must hold at least 0.0001% of the anchor token's max supply.
HIP-3: stake 500,000 HYPE for a minimum of 183 days to deploy a perp market. Fee share 0–300% (0–100% in growth mode). Reserved deploy slots follow 7 + 0.2 × n.
From the documentation: "Slashing is technical and does not distinguish between malicious and incompetent behavior."
Builder codes cap fees at 0.1% on perps and 1% on spot, with roughly $90M cumulative.
This is the opposite bet from pump.fun's. pump.fun optimises for the number of things launched; Hyperliquid optimises for the quality of the thing launched by making launching expensive. Both are working. They are not competing for the same participant.
Four gaps came out of the research, and they are all on the same side of the lifecycle. Nobody owns the 90 days after launch. Issuance costs $0.69 and takes seconds. After that there is no product for liquidity management, holder communication, vesting, or treasury operations. The entire category's product surface stops at graduation. No cross-platform record of what was launched. From Echo/Sonar, verbatim: "there is no place where all the sales are listed." Every platform indexes itself. Discovery is a purge, not a market. Two platforms hold 62.2% of the segment and the rest are at fractions of a percent. That is a segment that has been abandoned, not a segment that has consolidated. It is the most obvious opening in this report. Nothing prices survival. Every platform's UI ranks by market cap or volume. None of them expose whether a token still has liquidity a week later — which, per section 8, is the number that actually separates the 407 from the 349,200.
The gap between 56.5% and 28.6% is the whole story of this market, and it is not a single cause. Supply outran attention by orders of magnitude. CoinGecko has recorded 18,675,645 pump.fun tokens with at least one trade; 12,825,175 (68.67%) last traded on the day they were created, and only 850,180 (4.55%) traded in the past 90 days. Gate recorded roughly 42,000 new tokens in a single day in June 2026, 11.9M cumulative. No terminal, and no human, filters at that rate. Speed became the entire game. Roughly 94% of a Solana new token's volume happens in the first hour. Research on 41,470 migrated Solana tokens (arXiv 2602.13480v1) and on sniper behaviour (arXiv 2601.08641v2, entries in blocks 1–5, i.e. 0.4–2 seconds, bundle bots present in ~25% of projects) points the same way. Median time-to-peak in one measured sample was 4 minutes. A terminal that surfaces a token in 30 seconds is already late. Extraction is measurable. Helius/Jito data shows 1.55M sandwich transactions over 30 days, 65,880 SOL (≈$13.43M). Signals do not survive contact. MadeOnSol on 2026-08-28: 138 alerts across 104 mints in 2h49m; of the 65 with one-hour outcomes, 14 (21.5%) were still above their trigger price. The discovery layer is not underbuilt. It is being asked to solve a problem that the issuance layer made unsolvable at the current supply rate.
Not a recommendation. Just what the measurements imply about the terrain.
Phantom market cap is the first thing to check, and most people never do. price × total supply is meaningless when one address holds nearly all supply. Of 1,442 tokens with a nominal all-time-high market cap above $10M, 84.5% now sit below $10k. Apply a 7-day survival gate first and 99 of 1,129 (8.77%) are still above $1M. In the 7-to-40-day window, out of 729 tokens, 6.
The two chains are different jobs, not a choice. BSC's large tokens carry real but small pools — 14 measured tokens above $10M market cap had pool liquidity between $150k and $2.7M. Above roughly 2–3% of pool depth, slippage becomes obvious. Solana runs 34× the volume at 2.6× lower fees, with ~94% of new-token volume in the first hour. BSC is "real market cap, small capacity." Solana is "questionable market cap, large capacity."
Social presence is the strongest observable pre-success filter measured here. Across 129 BSC tokens: with social channels, median peak market cap $1,227,909 and 53.2% exceeded $1M. Without, $145,402 and 26.9%. An 8.44× gap, and Telegram outperformed Twitter.
Peak market cap is not a valid success metric on a bonding curve. It can be manufactured with a small amount of capital against a thin curve. Durability — still alive after 7 days, still holding liquidity — is the only measure that survives scrutiny.
The segment of this market with the clearest economics is not the tokens. It is the platforms, and their cash flow is visible on DefiLlama every day.
Stated plainly, because a report that never fails at anything is not measuring anything. - Whether pump.fun's on-chain FeeConfig account matches the published tier table. The docs reserve the right to change tiers without notice. - DefiLlama's lifetime protocol revenue for Pons ($7.61M) is 77% above the official Dune figure ($4.31M), and its revenue-to-fees ratios (V1 26%, V2 18%) contradict the documentation (10%, 30%). Both unresolved; this report uses the official numbers. - Volume data is unavailable for bonk.fun, Believe, Bags, clanker, SunPump, Binance Alpha, Metaplex and PinkSale — DefiLlama tracks their fees but not their volume. This is why the entire report uses a fees-only ruler. - Flap's cross-check produced two different daily figures: a route-B on-chain measurement across 139 tokens (24h volume $49.5M, volume-weighted one-side tax 1.535%) implies $760,023/day, against DefiLlama's August average of $378,781/day. These have not been averaged. A measured number and an inferred number should never be blended; both are reported and the gap is left open. - Pons's 349,200 lifetime launches and 407 graduates are the platform's own published figures, not independently scanned. The V1 cohort (1,895 launches) is the only part measured directly on-chain. - o1 was not scanned on-chain at all; its 34,690 launches come from its own dashboard. It also issues on two chains — Base for equity-backed tokens, Robinhood Chain for community tokens — which makes it a direct competitor to Pons, not a Base-only platform. - GeckoTerminal does not index Flap, so no independent price cross-check was possible for Flap tokens.
Uncle Onchain | Crypto PM @Uncle_Onchain Data measured 2026-08-29; Pons and o1 figures are the platforms' own published numbers as of 2026-08-30. Nothing here is investment advice. Every figure is either directly measured or derived from a stated formula; where a number is inferred it says so.