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70/100r/ethdev · @Minimum_Abies3578 · Wevolv3 · Development

I've been continuously measuring real finality times across 10 L1s (block produced → actually finalized). The marketing numbers vs reality gap is wild

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💡 Por que é um lead: [PROJECT/ENGAGEMENT] Founder de projeto cripto (OpenChainBench) compartilha dados técnicos sobre finalidade de L1s, abrindo espaço para discussão sobre métricas de performance e desafios de marketing/growth no setor — contexto onde a Wevolv3 pode agregar valor mencionando sua expertise em desenvolvimento Web3. 📇 site:https://openchainbench.com/benchmarks/l1-finality

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For the past few weeks I've had probes polling every chain's consensus API every 10 seconds, measuring wall-clock time from latest block to finalized block. No marketing numbers actual observed data. https://preview.redd.it/t0wz4bb4vf6h1.png?width=1200&format=png&auto=webp&s=42d9eb3237445b717b46cc04433078785711fe61 Results (p50, latest block → finalized) Chain Time to finality TON 0.2s SUI 0.5s BNB 0.9s Avalanche 1.4s Solana ~12.9s TRON ~56s Ethereum ~13 min Notes: Solana: yes, "400ms slots", but real finality is optimistic confirmation + 32 slots. Ethereum: ~13 min = 2 epochs, exactly as designed. People constantly confuse block time with finality. What surprised me most The gap between "transaction included" and "transaction irreversible" is the most misquoted number in crypto. Half the "finality" comparisons you'll find online actually cite block time. Tear it apart Methodology is fully open (Prometheus + open-source harnesses, every query inspectable): https://openchainbench.com/benchmarks/l1-finality Genuine questions for this sub: - What would you measure differently? - Is comparing PoS checkpoint finality vs DAG finality vs probabilistic finality on a single chart even fair? Disclosure: I built this (OpenChainBench). No tokens, no paid rankings, CC-BY data. For the past weeks I've had probes polling every chain's consensus API every 10 seconds, measuring wall-clock time from latest block to finalized block. Not whitepaper claims, actual measured data. Some   submitted by   /u/Minimum_Abies3578 [link]   [comments]

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really useful data anon, that finality vs block time confusion is everywhere. maybe add a note on how network congestion affects these numbers? seen it spike wildly on some L1s during mint events.
DM
yo your finality benchmark post caught my eye, super detailed work. been using wevolv3 for some of our infra and they'd probably dig this kinda data for their research. want me to intro you to the team?

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