Let’s learn about N1Chain. #10 – High-Performance Chain In blockchain projects, when we see metrics like TPS or latency, it used to feel like nothing more than a benchmark competition. But in the context of a Perp DEX, things are different. Speed can directly impact the quality of liquidity. For example, imagine a market maker places bids to buy BTC at $100,000 and offers to sell at $100,010. If the market moves but the order takes too long to cancel or update, there’s a risk that someone will be filled at the outdated price during those few seconds. From the market maker’s perspective, this risk naturally gets priced in. As a result: Latency ↑ → Quote Risk ↑ → Spread ↑ → Trader’s Execution Cost ↑ This is the dynamic at play. That’s why it feels reductive to view N1’s constant emphasis on sub-ms latency as merely a speed boast. N1 integrates the order book directly at the network level. Instead of apps implementing their own order books and uploading results to the chain, the network itself is deeply involved in order matching and execution. This matters because what traders ultimately want isn’t just “an extremely fast blockchain.” They want: Narrow spreads Deep liquidity Rapid order updates Predictable execution The ultimate goal of N1’s high-performance chain must lead precisely to these outcomes. Speed itself is not the product. But when that speed translates into better quotes and better executions, it ceases to be just a specification—it becomes real trading infrastructure. That’s why, when evaluating N1 today, I’m looking at order book design and latency alongside TPS.