I wrote a python script to benchmark blockchain time to finality. Comparing NEAR in this one with some of the top 10 chains. In 60 seconds, NEAR can finalize 50 cross-shard transactions @ 1 tx/finality. Ethereum and Cardano would have finalized zero txs in this time. Results ↓ $NEAR @ ~1.2s finality → 50 txs settled in 60s $BNB @ ~2s finality → 30 txs settled in 60s $XRP @ ~4s finality → 15 txs settled in 60s $SOL @ ~12.8s finality → 4 txs settled in 60s $TRX @ ~60s finality → 1 tx settled in 60s $ADA @ ~120s finality → 0 txs settled in 60s $ETH @ ~12.8 min finality → not even close *time to finality for each chain is an approximation gathered from different sources. NEAR requires two blocks @ 600 ms block time, for example. cc @NEARProtocol I'll work to improve this visualization over time. Will try to add more chains and maybe find a way to include transaction capacity (scalability) somehow. Still, an interesting way to understand how time to finality affects the overall user experience in each chain. Anything higher than 3 seconds seems too much, imo. Have been using Nano $XNO for years (600ms finality) and now NEAR. These chains can really get you spoiled to a point where it becomes a nightmare to use slower chains. I didn't include nano here because I wanted to check chains that can do more than simply send/receive a single-unit coin, achieving faster finality while also doing more complex operations (e.g., cross-shard function calls), being the real challenge for performance.