Split decision: FOMO leads on iOS App Store rating (4.77x vs 3.69x) and Memecoin trading fees (0.89% vs 1.47%); GMGN leads on Solana trading platform leaderboard ($127.73M vs $49.03M) and Solana DEX volume ($90.20M vs $39.73M).
Read methodology Last measured Window: rolling 24h6 shared benchmarks
FOMO is a multi-chain trading app (Solana, Base, BNB Chain, and more) for memecoins and perps. It provides social copy-trading, onchain signals, and routes swaps through pump.fun, Raydium, and other DEX pools.
GMGN is a Solana and EVM memecoin trading terminal combining wallet tracking, smart money copy trading and a Telegram bot. It routes swaps through pump.fun and DEX pools with a configurable slippage and fee.
Volume figures are sourced from Mobula's lighthouse aggregator, which indexes on-chain swap events attributed to each trading platform or Telegram bot. Data is refreshed every 15 minutes. Platforms with zero volume may indicate no attributable on-chain activity in the last 24 hours or a temporary attribution gap in Mobula's indexing.
Ratings reflect the current all-time average user rating from the Apple App Store as returned by the iTunes lookup API. Apple does not expose star-distribution breakdowns or time-windowed averages via the public API. A high rating with few reviews carries more statistical uncertainty than the same rating with tens of thousands of reviews. The review count column shows how many users contributed to each rating.
Take rate = fees / volume * 100. Fees are on-chain inflows to known fee wallets (Dune query 8316589, refreshed every 6h). Fomo fees come from DeFiLlama (on-chain USDC + off-chain relay). Volume is total Mobula-attributed volume; the take rate is a lower bound since platforms with variable or waivable fees will show lower observed rates.
Volume and revenue data sourced from DeFiLlama's DEX and fees APIs. DeFiLlama attributes volume via on-chain referral tags and program IDs; platforms without standard tags may be undercounted. Figures are 24-hour and 7-day rolling totals updated every 30 minutes. Revenue uses DeFiLlama's dailyRevenue dataType, stripping LP fees. Terminal volume (Axiom, GMGN, Fomo) and launchpad volume (pump.fun) use different attribution methods and are not directly additive.
Average swap size is computed as 24h attributed volume divided by 24h attributed trade count from Mobula lighthouse. Both numerator and denominator include bot and MEV activity; the metric reflects all on-chain swaps attributed to each platform, not human-only trades. pump.fun volume comes from the byLaunchpad bucket (bonding-curve swaps via pump.fun's own frontend); all other platforms come from byPlatform. Attribution is mutually exclusive per Mobula's referral-tag methodology.
Counts unique tx_ids per platform, not unique wallets. Actual unique-wallet count is 3-10x lower since active traders execute multiple transactions per day. Includes bots, MEV searchers, and multi-wallet traders. Terminals (GMGN, Axiom, Fomo, Trojan, Photon, Maestro) use fee wallet inflow detection; pump.fun uses Dune Spellbook (dex_solana.trades, project IN pumpdotfun/pumpswap) to avoid noise from fee-wallet micro-inflows at 0% fee.
Frequently asked questions
FOMO vs GMGN: which one is better?
FOMO and GMGN are compared on 6 shared OpenChainBench benchmarks. FOMO leads on iOS App Store rating. GMGN leads on Solana trading platform leaderboard. See the live table on this page for every metric.
Which is higher-rated, FOMO or GMGN?
On the Crypto trading app iOS ratings benchmark, FOMO leads at 4.77x versus GMGN at 3.69x (provisional). Live measurement is updated continuously by the OpenChainBench harness.
Which is cheaper, FOMO or GMGN?
On the Solana trading platform leaderboard benchmark, GMGN leads at $127.73M versus FOMO at $49.03M. Live measurement is updated continuously by the OpenChainBench harness.
How is the FOMO vs GMGN comparison measured?
Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.
Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing — panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.
