According to @alice_und_bob, a fully on-chain chat prototype will open for public testing today at 4pm UTC, with the author inviting users to participate. Source: @alice_und_bob on X, Dec 26, 2025 The author states that peers @bkchr and @Joseptec warned that putting text on-chain is too expensive, underscoring transaction cost risk for a high-throughput messaging design. Source: @alice_und_bob on X, Dec 26, 2025 Text-heavy on-chain transactions typically consume more gas than simple transfers, increasing cost-per-message in decentralized social messaging use cases. Source: Ethereum.org Gas and fees; Ethereum EVM gas schedule No token, network, or ticker exposure was disclosed, so direct tradeable catalysts are unspecified; traders may monitor gas prices and block utilization during the 4pm UTC test to gauge cost pressure and throughput. Source: @alice_und_bob on X, Dec 26, 2025

According to @TO, three new 4 MB “4 meggers” inscriptions just hit the Bitcoin network, with the first titled “Preserving history on Bitcoin” (source: @TO on X, Dec 11, 2025). A 4 MB inscription approaches Bitcoin’s 4,000,000 weight-unit block limit introduced with SegWit, meaning a single transaction can occupy most of a block and reduce concurrent throughput (source: Bitcoin Core documentation; Bitcoin.org Developer Guide). When large inscriptions consume blockspace, required feerates for timely confirmation tend to rise as the mempool grows, lifting on-chain transaction costs (source: Bitcoin.org Developer Guide; mempool.space fee estimation methodology). Traders should track real-time sat/vB fee tiers and mempool size to time on-chain moves during inscription waves (source: mempool.space explorer). Monitoring the share of miner revenue from fees offers a read on fee pressure during congestion (source: Blockchain.com Charts, Miners’ revenue from fees).

According to @stonecoldpat0, the main blocker to cheaper on-chain execution is that MEV bots immediately absorb any added blockspace, so throughput increases alone will not sustainably lower transaction fees, source: @stonecoldpat0. He states that fees were introduced primarily as a DoS and anti-spam mechanism rather than a revenue source, and even with 100x capacity, fees must remain meaningful to impose costs on bots and prevent resource abuse, source: @stonecoldpat0. He frames the binding condition as collective MEV profits versus what real users are willing to pay in fees; if MEV profits exceed user fee tolerance, congestion and elevated costs persist, source: @stonecoldpat0. Trading takeaway: plan for a non-zero fee floor and sustained MEV-driven competition during peak events; strategies dependent on ultra-cheap on-chain execution need added MEV mitigation or alternative execution routes to remain viable, source: @stonecoldpat0.

According to @BitMEXResearch, it was recognized in 2017 that Bitcoin’s SegWit witness discount could be used to store up to 4MB of non-monetary data per block, reflecting the 4 million weight unit design in BIP-141 (source: @BitMEXResearch; source: BIP-141). This means non-payment data directly competes for blockspace with monetary transactions and can increase fee pressure when demand for witness space rises, affecting the fee market dynamics traders face (source: BIP-141; source: Bitcoin.org Developer Guide). For traders, higher utilization of witness space can lift BTC on-chain transaction fees and extend confirmation times during congestion, impacting the timing and cost of exchange deposits and withdrawals during volatile sessions (source: Bitcoin.org Developer Guide). Miners can see a larger share of revenue from transaction fees when blockspace is scarce, a condition traders should track because elevated fees often coincide with congested mempools and higher settlement costs (source: Bitcoin.org Developer Guide).

According to @MilkRoadDaily, Ethereum apps now secure $330B in user assets. According to @MilkRoadDaily, that figure is nearly 10x Solana and 4x Tron. According to @MilkRoadDaily, this reflects sticky demand for Ethereum blockspace and security rather than just TVL. According to @MilkRoadDaily, this asset concentration strengthens the fundamental case for ETH for trading strategies focused on network demand and security.

According to @BitMEXResearch, a new report analyzes how Bitcoin Ordinals inscriptions affect node runners’ bandwidth, storage, and operating costs, linking these dynamics to BTC fee volatility and blockspace pricing. Source: https://blog.bitmex.com/ordinals-impact-on-node-runners/ For traders, the report highlights three actionable metrics to monitor during inscription activity: mempool size, median sat/vB fee rates, and block fullness, as these directly impact execution costs and settlement latency for BTC transactions. Source: https://blog.bitmex.com/ordinals-impact-on-node-runners/ The study’s focus is directly relevant to fee-derived miner revenues versus subsidies, a mix that can influence short-term hashprice and on-chain cost environment during periods of elevated inscriptions. Source: https://blog.bitmex.com/ordinals-impact-on-node-runners/

According to @MilkRoadDaily, Solana (SOL) has generated $1.25B in year-to-date revenue, nearly 2.5x Ethereum (ETH), framed as evidence of stronger blockspace demand with no other chain close, source: @MilkRoadDaily, X, Sep 8, 2025. For trading, this revenue gap provides a concrete on-chain activity metric to compare SOL versus ETH performance and to monitor demand-driven fee trends, source: @MilkRoadDaily.

According to @adam3us, on-chain 'JPEG' inscriptions climbed from 88 million in May to 105 million four months later, a 20% increase, source: @adam3us citing BitMEX Research. According to @adam3us, by May inscription-related fees totaled 7,000 BTC, which at a $100,000 BTC price equals $700 million and about $8 paid per JPEG on average, source: @adam3us citing BitMEX Research. According to @adam3us, the inscriptions are primarily implemented via Taproot, source: @adam3us citing BitMEX Research. According to @adam3us, traders can use these dataset points to monitor BTC fee levels, blockspace utilization, and inscription activity as inputs for assessing on-chain transaction costs and miner fee trends, source: @adam3us citing BitMEX Research.

According to @adam3us, as Bitcoin technology improves, cryptographic fungibility should increase and the blockchain will converge to a cryptographic accumulator where transactions become indistinguishable blobs, making censorship and filtering impractical (Source: @adam3us on X, Aug 20, 2025). For traders, his view implies blockspace demand from any use case can still bid for inclusion, so fee dynamics are set by aggregate demand rather than policy-based filtering; monitor mempool congestion, sat/vB fee bands, and miner fee share of revenue as leading signals for BTC volatility and miner income sensitivity (Source: @adam3us on X, Aug 20, 2025). If filtering becomes ineffective as argued, attempts to exclude transaction types would not sustainably suppress fees, keeping attention on fee-market liquidity and on-chain throughput constraints when positioning around BTC catalysts (Source: @adam3us on X, Aug 20, 2025).