According to @CryptoKing4Ever, Layer 2 Lighter is sustaining around 4,000 TPS, which is framed as more impactful than a 24,192 TPS peak figure, source: @CryptoKing4Ever. According to @CryptoKing4Ever, this implies Ethereum’s scaling is fixed with faster and cheaper transactions and positions ETH as the world’s main settlement layer, source: @CryptoKing4Ever. According to @CryptoKing4Ever, traders should monitor confirmations via ETH spot and perpetual liquidity, average gas fees, and L2 throughput/volumes to validate the performance claim, source: @CryptoKing4Ever. According to @CryptoKing4Ever, if sustained, higher L2 throughput could shift activity to rollups and support ETH’s role as collateral and settlement asset, which traders can track through L2 bridge flows and DEX volumes, source: @CryptoKing4Ever.

According to @Flavio_leMec, traders should stop comparing blockchains using vanity metrics such as TPS, active wallets, number of accounts, transaction amount, market cap without liquidity, and validator count because they do not reflect real usage or value creation, source: @Flavio_leMec (Nov 6, 2025). For trading and cross-chain valuation, this implies that relying on these KPIs can mislead token pricing, risk assessment, and narrative momentum across L1 and L2 ecosystems, source: @Flavio_leMec (Nov 6, 2025). Market participants should reassess dashboards and screeners that rank networks primarily by these figures before allocating capital or evaluating network health, source: @Flavio_leMec (Nov 6, 2025).

According to Eric Balchunas, traders seeking a trustworthy comparison table for altcoin blockchains by speed, transactions, revenue, and developer counts can assemble it from reputable datasets: Electric Capital’s Developer Report tracks monthly active developers and contributor retention by chain for ETH, SOL and others, source: Electric Capital; Token Terminal aggregates protocol revenue, fees and token incentives for comparative valuation, source: Token Terminal; CryptoFees lists daily user-paid fees per chain as a direct demand signal, source: CryptoFees; Artemis provides chain-level transactions, TPS, active addresses and fee data across L1s and L2s, source: Artemis; DeFiLlama offers chain activity dashboards including fees, revenue and TVL for cross-chain comparisons, source: DeFiLlama; L2Beat reports throughput metrics and security assumptions for Ethereum L2s to standardize L2 comparisons, source: L2Beat; Coin Metrics supplies standardized on-chain fundamentals such as transaction counts, fees and circulating supply for major networks, source: Coin Metrics.

According to the source, a claim is circulating that Solana throughput was unaffected during an AWS outage; traders should seek confirmation from the Solana Foundation or the official Solana Status page before positioning on this narrative (sources: Solana Foundation; Solana Status). For validation, monitor real-time TPS, finalized blocks, and slot confirmations on Solana Beach and validators.app, and cross-check against the AWS Service Health Dashboard incident timeline to gauge any regional impact correlation (sources: Solana Beach; validators.app; AWS Service Health Dashboard). Until an official post-mortem is published, track SOL perps funding, basis, and open interest on major venues and liquidity conditions around SOL spot to manage risk and potential volatility spillovers (sources: Binance; Bybit; OKX; CoinGecko).

According to @alice_und_bob, the Ethereum ecosystem now operates at one-third the speed of a single Polkadot parachain, framing a throughput and TPS comparison between ETH and DOT that could shape short-term narratives, source: @alice_und_bob on X. The post provides no TPS figures, benchmarks, definitions of ecosystem scope (L1 vs L2 rollups), or test methodology, so the performance claim is unverified within the source text, source: @alice_und_bob on X. For trading, consider monitoring ETH and DOT spot volume, futures funding rates, and the ETH/BTC vs DOT/BTC relative strength for narrative-driven flows tied to this claim, source: @alice_und_bob on X. Also watch rollup utilization and average gas fees on Ethereum to assess whether any capacity constraints align with the claim or not, before making positioning decisions, source: @alice_und_bob on X.

According to @deanmlittle, concerns about Solana proposal SIMD-0370 are misplaced; he states validators previously optimized block packing before arbitrary limits were enforced and the outcome was higher TPS, emphasizing competitive incentives in validator behavior. Source: @deanmlittle on X, Sep 29, 2025. He cites Stackelberg competition to argue that market-driven validator strategies can produce more competitive blocks, aligning with prior observations of increased throughput. Source: @deanmlittle on X, Sep 29, 2025; Source: Wikipedia, Stackelberg competition.

According to @ItsDave_ADA, Solana’s widely marketed transaction counts may overstate network activity relative to the actual value transferred on-chain, implying a potential mismatch between TPS headlines and economic throughput (source: @ItsDave_ADA on X, Sep 5, 2025). For trading decisions on SOL, this claim suggests prioritizing value-centric metrics such as total value transferred, median transaction value, fee revenue, DEX volume, and TVL over raw transaction counts to gauge genuine demand (source: @ItsDave_ADA on X, Sep 5, 2025). Traders can watch for divergences where transaction counts rise while fee revenue or value transferred stagnate as a warning of weak organic usage that could affect SOL’s price strength and funding dynamics (source: @ItsDave_ADA on X, Sep 5, 2025).

According to @ItsDave_ADA, traders should not rely on headline TPS for valuations when throughput is driven by fake or non-economic transactions, and systems optimized for speed and metric gamification resemble data-center databases rather than real blockchains; source: @ItsDave_ADA on X, Sep 2, 2025. According to @ItsDave_ADA, this stance points traders toward prioritizing organic transaction quality and genuine on-chain demand over raw TPS when assessing L1 or L2 tokens for momentum or fundamental trades; source: @ItsDave_ADA on X, Sep 2, 2025.

According to @cas_abbe, BNB Chain (BNB) recently achieved a 2-year high in real-time transactions per second (TPS), while the average transaction fee dropped to just $0.024. This rare combination of rising network activity and declining gas fees signals strong scalability and efficiency, making BNB Chain a compelling option for traders seeking lower transaction costs. The improved network performance could boost on-chain activity and attract more DeFi and DApp users, potentially increasing demand for BNB tokens and impacting BNB price action. Source: @cas_abbe on Twitter, June 16, 2025.

According to Hamster Kombat, recent market volatility has led to $1 billion in liquidations, primarily due to tariff turmoil. Additionally, the Hamster Network has achieved a significant technological milestone by reaching 34,028 TPS, surpassing Solana's performance. In a notable move, a Mt. Gox wallet transferred $1 billion worth of Bitcoin, adding to the market's instability.

According to Miles Deutscher, Sonic mainnet ($S) achieves the highest theoretical transactions per second (TPS) at 370,000, surpassing most major blockchains. This capability emphasizes the importance of fundamentals and positions Sonic for unique use cases not feasible on standard blockchains, potentially influencing trading strategies.

According to Dave (@ItsDave_ADA), Solana is reportedly operating at a capacity of 1,024 true transactions per second (TPS). This performance metric is crucial for traders as it implies a high throughput, potentially reducing transaction costs and increasing efficiency on the Solana blockchain. Such capabilities are significant for developers and users who require fast and scalable solutions. The increased TPS could positively influence Solana's adoption and utility in trading applications, thereby impacting its market positioning and value.