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Open benchmarks for crypto infra. RPCs, bridges, oracles, pegs. Live data, open methodology. https://nitter.gq/t.co/uRUiUlxCJg

Joined May 2026
Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)Photo by OpenChainBench (@OpenChainBench)
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Solana finality just went from ~7 seconds to 0.404 seconds. Alpenglow went live on mainnet Oct 21, retiring TowerBFT, the consensus Solana has run since 2020. That's the independent median over 357,000+ slots (OpenChainBench). About 17x faster.
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Everything is open source and welcome to contribution, adjustment: the pricing catalogue, the cost model and the code that computes each bill. github.com/ChainBench/OpenCh…
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What's the cheapest RPC provider for your usage? It depends on your volume. openchainbench.com/benchmark…
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OpenChainBench retweeted
2/ OpenChainBench measured a 404 ms median over 24 hours to Oct 23, p90 579 ms, p99 765 ms. That is roughly 17x better than its ~7 s baseline.
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OpenChainBench retweeted
Same GRVT points but pulled a few harder numbers and flipped the read. That is where it gets sharper. The 1.1M burn is not just “almost 1%.” CoinMarketCap lists circulating supply at ~114.3M, putting the on-chain burn at roughly 0.96% of the float (0.11% of total supply). The public dashboard at @grvt_io shows the burn amount and the on-chain transaction hash. Most protocols still point to a treasury wallet that could move tokens later. GRVT has already executed the burn() function. Future rounds are intended to be monthly, but remain fully discretionary. That matters because the dashboard makes the actual execution verifiable without pretending the size or timing of the next round is guaranteed. On the capital side, the reverse view gets more interesting once you look at scale. GRVT is running roughly $430–500M in 24h volume and ~$430M in open interest, based on Loris/OpenChainBench/DefiLlama snapshots. That is not Hyperliquid scale, yet the platform already offers a 3.5% base APY on eligible trading equity through Earn on Equity. The higher layer, advertised up to 11%, is conditional on additional rewards and trading activity, not a guaranteed return. The official breakdown points to a mix of platform fees and external yield sources such as Aave. The more interesting question is how much of that capital can stay productive. Most venues do not broadly pay yield on active trading collateral, so the idea of earning while capital supports positions is worth watching. But GRVT’s planned Yield as Margin feature still needs to be distinguished from what is already live. The burn has closed one gap: “We will do it” versus a verifiable on-chain action. The next question is harder: Can a mid-tier venue make eligible collateral work harder without adding unacceptable liquidity, smart-contract or trading risk? That is where the real edge would come from.
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OpenChainBench retweeted
Solana trading terminal volume, last 30 days (OpenChainBench, Oct 15): Fomo $4.83B Axiom $3.55B GMGN $2.50B pump.fun app $1.06B Padre / Terminal $540M Trojan $100M Photon $32M a phone app is now the biggest terminal on Solana. Telegram bots are a rounding error.
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Solana finality just went from ~7 s to ~0.4 s. Alpenglow went live on mainnet on Oct 21, and we measured it slot by slot: See our report.
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OpenChainBench retweeted
Wow. Massive improvement. Alpenglow is a massive upgrade for Solana finality. We measured : ~6.6s before the switch on Oct 21. Today: ~400ms. Roughly 16x faster, live on mainnet. Source : Openchainbench
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Closest to the real exchange price of every crypto price API we measure: @bitculator leads our price accuracy benchmark.
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Replying to @Pumpfun
We will benchmark it.
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thank's for understanding us 👏
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OpenChainBench retweeted
measuring infra in public instead of everyone trusting marketing pages is long overdue. reproducible benchmarks make the builder's choice so much easier
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OpenChainBench retweeted
Hey everyone. Pushed an update to the router, we reduced latency in other regions besides US-East by decent margin US-E | 100ms -> 100ms US-W | 350ms -> 150ms Singapore | 750ms -> 350ms We're closely monitoring servers to see what regions have the most traffic and will deploy at least 1 other mirror to approach 100ms everywhere If you are building a latency sensitive project with route, we recommend setting up an AWS instance next to ours in us-east-1a Additionally we've been added to OpenChainBench you can view Route's live latency per region & token coverage anytime.
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Replying to @Adam_Tehc
Really nice kpi 👑
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都在说"资金撤离"。看两个数: ETF:10 月至今,美国现货 BTC + ETH ETF 合计净流出 9.86 亿美元(Farside,10-09)。 稳定币:过去 30 天,全链稳定币净流入 +16.9 亿美元(OpenChainBench / DefiLlama,10-09)。 拆开 30 天的链上排行,更明显: · TRON:+16.9 亿 —— 一条链 · Plasma:+3.17 亿 · Base:+1.80 亿 · Hyperliquid:+1.58 亿 · XRP Ledger:+1.26 亿 · Optimism:+1.05 亿 TRON 一条链吸走的美元,约等于第 2 到第 6 名加起来的两倍。 而流出侧呢?最大的 Arbitrum One 也只流出 1.07 亿。26 条链里有 14 条在净流入。 我的读法:ETF 的钱是配置盘,在撤;稳定币是弹药,在换位置,没有离场。价格的故事和管道的故事,现在指向两个方向。 哪个对?10 月 14 日 CPI 见分晓。
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OpenChainBench retweeted
AI blew up supply, not demand. App Store, H1 2026: new apps 2x, downloads +2% US e-commerce, Jul 2026: AI-referred traffic converts 60% better More buyers let an AI make the shortlist, and it picks what it can verify. Benchmarks beat posting more. nytimes.com/2026/07/20/techn…
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