The inscriptions phenomenon—initially a Bitcoin-native trend—has rapidly expanded across multiple blockchains, triggering a real-world stress test for networks beyond BTC. In recent weeks, Ethereum, Solana, EOS, TON, IOST, and Conflux have all seen a surge in inscription-inspired projects, driving unprecedented on-chain activity. This sudden influx has not only highlighted the growing appeal of data permanence and digital collectibles but also exposed critical scalability and resilience challenges across these platforms.
But how are these so-called high-performance blockchains actually holding up under pressure? And can they truly support the next wave of decentralized innovation when pushed to their limits?
Bitcoin: Congestion and Controversy
At the epicenter of the inscriptions movement lies Bitcoin—the network that started it all. The most immediate impact has been severe network congestion and soaring transaction fees.
Inscriptions operate similarly to NFTs, allowing users to embed arbitrary data directly into the blockchain. However, unlike traditional NFTs minted on smart contract platforms, Bitcoin’s fee structure is based on data size. As a result, many inscription creators opt for lower fees, accepting longer confirmation times.
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This willingness to wait has led to a massive backlog in Bitcoin’s mempool—the temporary storage for unconfirmed transactions. According to crypto analyst bitrabbit.btc, Bitcoin accumulated 87 million UTXOs over its first 14 years. But just seven months after BRC20 tokens launched in April 2023, that number surged to 140 million. Of the 50+ million new UTXOs, an estimated 40 million were tiny transactions valued between 100 and 1,000 satoshis.
Since early 2023, inscriptions have become the primary consumer of Bitcoin block space. By February 2024, the mempool was consistently full—a state that has persisted ever since. With Bitcoin’s dust limit set at 546 satoshis per UTXO (to prevent spam attacks), millions of these micro-transactions may never be confirmed. Critics argue they effectively act as a form of DDoS attack, permanently bloating node storage requirements.
Luke Dashjr, a core developer of Bitcoin Core, has been vocal in his criticism, calling inscriptions “spam exploiting protocol vulnerabilities.” He warns that these unspendable UTXOs could cost the network billions in hardware and energy over decades.
Yet, from the perspective of block producers (miners), this surge has been highly profitable. Prior to late 2023, transaction fees typically accounted for only 2%–5% of miner revenue. After the resurgence of inscription activity in November, fee income began climbing—reaching over 10%, peaking at 25.84% on December 14. Dune Analytics reports that Ordinals-related fees have generated over 3,615 BTC (approximately $150 million) for miners.
This shift is significant: as Bitcoin undergoes halving cycles and block rewards diminish, alternative revenue streams like inscription fees could play a vital role in sustaining long-term network security and miner incentives.
High-Performance Chains Under Pressure
While Bitcoin grapples with congestion, newer blockchains—often marketed as “Ethereum killers” or ultra-fast alternatives—have entered the inscriptions race. But their performance during this stress test reveals some uncomfortable truths.
Ethereum: Gas Fees Rebound
Ethereum’s gas prices had been trending downward throughout much of 2023, hitting a low of $1.40 around October 14, with gas costs falling below 10 gwei. However, the emergence of ETHS (Ethereum-based inscriptions) reversed this trend.
Leveraging Ethereum’s calldata—a cheaper and more decentralized method than contract storage—ETHS allows users to inscribe files up to 96 KB directly onto the chain. Currently limited to images, future updates may expand supported formats.
As demand surged in late October, gas prices climbed back into the 30–50 gwei range—still manageable but signaling renewed network activity. Notably, ETHS presents a potential Layer 2 narrative: achieving lower costs than some L2 solutions without requiring cross-chain switching.
EOS: Network Gridlock
EOS introduced eoss, an Ordinals-inspired inscription protocol, on December 9. The result? Catastrophic congestion.
Over 17 million transactions flooded the EOS EVM chain—exceeding its entire historical transaction volume. Millions of pending transactions caused severe delays, forcing intermittent halts in minting and transfers. The network struggled to process even basic operations, exposing fragility despite its high-throughput claims.
TON: Speed Claims Challenged
The Open Network (TON), which once aimed to claim a Guinness World Record for “fastest blockchain” with theoretical throughput exceeding one million TPS, faced a harsh reality check.
After launching Tonado—an Ordinals-derived protocol—TON experienced massive transaction backlogs. On December 7, over 2.5 million transactions awaited confirmation. Transaction processing dropped to less than one per second. Wallet services like Wallet and Tonkeeper were forced to suspend operations temporarily.
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NEAR: Smooth Minting, Unconventional Trading
Users report a seamless inscription experience on NEAR. However, trading works differently: inscriptions are first wrapped into NRC-20 tokens via official tools before being listed on NEAR-based DEXs like Ref Finance. While functional, this adds complexity compared to direct marketplace trading seen on other chains.
IOST: Fair Launch Criticized
IOST’s inscription launch drew criticism for lack of fairness. Reports suggest only users with optimized setups—such as multiple private nodes—could successfully participate. Twitter user @chems_zz noted poor performance across more than ten private IOST nodes, indicating systemic access issues for average users.
Key Takeaways from the Incription Stress Test
Despite bold marketing claims about speed and scalability, many alternative blockchains faltered under real-world load. In contrast, Bitcoin and Ethereum—while experiencing higher fees and congestion—maintained consistent operation without service outages.
This divergence underscores a crucial lesson: stability and reliability matter more than peak performance metrics. A blockchain can boast millions of TPS on paper, but if it buckles under sudden demand, its utility remains questionable.
Moreover, the inscriptions boom highlights evolving user expectations:
- Demand for data permanence is growing beyond Bitcoin.
- Low-cost on-chain storage is becoming a competitive differentiator.
- Network resilience during spikes is now a key evaluation metric.
Frequently Asked Questions (FAQ)
Q: What are blockchain inscriptions?
A: Inscriptions are digital artifacts—like images or text—etched directly onto a blockchain using specific protocols (e.g., Ordinals on Bitcoin). They function similarly to NFTs but are stored natively on-chain rather than relying on external links.
Q: Why do inscriptions cause network congestion?
A: Because each inscription consumes block space. When thousands of users mint simultaneously, transaction queues grow rapidly, leading to delays and higher fees—especially on networks with limited throughput.
Q: Are inscriptions only possible on Bitcoin?
A: No. While Bitcoin popularized them via Ordinals, similar concepts now exist on Ethereum (ETHS), EOS (eoss), TON (Tonado), NEAR, IOST, and others.
Q: Do inscriptions threaten blockchain security?
A: Potentially. On Bitcoin, critics warn that millions of tiny UTXOs from inscriptions could bloat node storage long-term. On weaker networks, sudden traffic spikes can degrade performance or trigger outages.
Q: Can inscription fees support miners post-halving?
A: Possibly. With Bitcoin’s block rewards halving every four years, rising fee income from use cases like inscriptions may help sustain miner profitability and network security.
Q: Which blockchains handled inscriptions best?
A: Bitcoin and Ethereum demonstrated superior resilience despite congestion. Among newer chains, NEAR offered the smoothest user experience, while EOS and TON faced serious operational challenges.
The inscriptions wave isn’t just a fad—it’s a pressure test revealing who’s built to last. As decentralized applications evolve, networks must balance speed with stability. For developers and users alike, the message is clear: real-world performance trumps theoretical benchmarks.
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