Aptos parallel execution: 325M transactions in the Tapos cat clicker surge
Thread470 words
Explains how Aptos handled a clicker game surge using Aggregators, a Move feature that lets conflicting writes run in parallel. Adds activity and DeFi metrics to argue Aptos is more than a Solana comparison.
Key claims
325M transactions in 48 hours from over 63,000 wallets, peak 5.5M tx per hour
Gas unit price stayed at 0.000001 APT, about 3,600 APT total spent over four days
Success rate around 99%
DeFi TVL about $600M and stablecoin mcap above $100M
Is @Aptos the next @Solana?
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๐ฃ๐ฟ๐ผ๐ฏ๐ฎ๐ฏ๐น๐ ๐ป๐ผ๐. ๐๐'๐ ๐บ๐๐ฐ๐ต ๐บ๐ผ๐ฟ๐ฒ ๐ฝ๐ผ๐๐ฒ๐ฟ๐ณ๐๐น.
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โฆ > 325M transactions in 4 days.
โฆ > 2'000 TPS for 24h straight
โฆ Peak of 5'900 TPS
โฆ Gas cost at 0.000001 $APT ($0.000009)
โฆ ~59,000 new accounts daily
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๐ง๐๐๐ฅ ๐ผ๐ป ๐๐ต๐ฎ๐'๐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ถ๐ป๐ด & ๐๐ต๐ ๐๐ผ๐ ๐๐ต๐ผ๐๐น๐ฑ ๐ฐ๐ฎ๐ฟ๐ฒ!๐
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@taposcat, a viral clicker game launched on Mainnet on May 23rd, took the Aptos network by storm last week.
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The game was simple. The more you "tickled" a cat, the more $HEARTS you earned.
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This led to an astounding 325 million transactions in just 48 hours from over 63,000 wallets.
Each tickle triggered an individual on-chain transaction, altering individual user activity counters and a global counter, all powered by @Aptos' parallel execution capabilities.
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@Aptos' architecture, including its unique Aggregator feature, enabled it to handle this unprecedented surge in transactions with ease.
๐ค Wait, what are Aggregators?
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Aggregators are a new Move feature developed by @AptosLabs that allows parallel execution of smart contracts on @Aptos, even in the presence of read-write conflicts.
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This feature has successfully tracked the total native token supply and sped up the minting process for large NFT collections.
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Aggregators work by using multi-version data structures to defer reads and writes, avoiding conflicts and enabling parallel transaction processing.
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In simpler terms: Aggregators enable better performance and parallelism by avoiding sequential bottlenecks and deferring conflicting parts of transactions to be handled later.
๐ฑ But pack to @taposcat.
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Each tickle, processed as a separate transaction, was executed in parallel, ensuring smooth gameplay even at peak times.
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The network peaked at 5.5 million transactions per hour on May 25th.
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Despite the massive increase in activity, gas costs remained remarkably low and stable.
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The daily average gas unit price stayed at 0.000001 $APT, with a total expenditure of only ~3,600 $APT over the four-day period.
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The hourly transaction success rate also remained consistently high, hovering around 99%.
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That's not all though. ๐
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@Aptos is much more than tickling cats.
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Metrics show a sustained surge in user activity on the network:
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โฆ Daily addresses with signed txs up 11% WoW
โฆ Daily active addresses rose 8%
โฆ Avg of ~59,000 new accs created daily last week
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On June 2nd, the network reached a new ATH in daily active addresses with over half a million.
The DeFi ecosystem on @Aptos is also flourishing, with TVL steadily rising to roughly $600 million.
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This growth is fueled by the stablecoin market cap on @Aptos surpassing $100 million and a continuous increase in on-chain volumes.
Study Parallelism. โ๏ธ
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Study Aptos. ๐ง
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DYOR. ๐
@Aptos @solana If you want to dive deeper on @Aptos' unique tech, check out my thread below! ๐
x.com/zerokn0wledge_/status/1795518871006540075
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