Bitcoin.com: Optimizing EVM Fee Estimation with QuickNode Streams
How QuickNode created new efficiencies with emerging tech to save Bitcoin.com hundreds of engineering hours.
- 6x fasterReceipts and webhook delivery after implementing Streams
- 60-80 engineering hours savedBy automatically routing data to destination
- 5x fasterIndexing of receipts datasets with Streams
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Challenges
Bitcoin.com, a leading crypto wallet, faced challenges in accurately estimating Ethereum Virtual Machine (EVM) transaction fees. They often underestimated fees which led to stuck transactions. Their existing options relied on third party APIs with limited insight into how fees were predicted, or RPC websockets which were prone to disconnection and difficult to backtest.
Solutions
By leveraging QuickNode Streams, Bitcoin.com could ingest blocks in real-time and filter for fee-specific data efficiently. This integration allowed them to index new block data directly into their backend, ensuring real-time updates and improved accuracy in their EVM fee estimator. Additionally, given the dynamic nature of fees, Bitcoin.com could easily run replays and back test models and algorithms on fee predictions in periods of high volatility to ensure accuracy.
Results
Improved Accuracy
By filtering fee-specific data in real-time, Bitcoin.com achieved more accurate EVM fee estimations, enhancing their user experience.
Increased Efficiency
Streams automatically routing data to its destination reduced the manual effort required from the data team.
Scalable Solution
Streams multi-chain support enabled Bitcoin.com to backfill and remain real-time at the tip with multiple EVM chains needed for their wallet.
"QuickNode Streams is a promising technology for allowing both new and existing builders to have significantly better blockchain processing pipelines. After successful proof of concepts on limited use cases, we are looking to expand Streams across our entire stack for core functionalities, like balance, transaction history, and more."
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