If your Web3 app feels slow or unreliable, the problem might not be your code, it might be your RPC.
Here’s why that mindset is costing you more than you think. And as you may know, I pay huge attention to this aspect.
1. Bad RPCs = Slow UX
Many free or overloaded RPCs introduce latency that your users will feel. Waiting 5-10 seconds for a transaction status or wallet read? That’s not just annoying - it’s a churn risk. Especially on mobile.
Tip: Benchmark latency across providers using tools like curl, ping, or Web3.js/ethers.js + performance.now(). Measure block propagation times, JSON-RPC response latency, and error rates.
2. Reliability Is Not a Given
Free/public RPCs can go down without warning. That means failed swaps, blank dashboards, and lost trust.
Tip: Use status dashboards or automated uptime monitors to track RPC health. Consider fallback RPCs or load balancers (like Infura’s Failover or Chainstack’s multi-node gateway).
3. Rate Limits Can Break Your App
Public RPCs often throttle requests per IP or key. As your user base grows, those limits hit harder.
Tip: Monitor how many requests your DApp makes per user session. Optimize with caching or batching (e.g., eth_call with multicall), and consider dedicated infrastructure for production apps.
4. Bad Data = Bad Decisions
Inconsistent block syncing or stale data from unreliable RPCs can lead to bugs, mispriced swaps, or even exploited logic.
Tip: Test RPCs for real-time accuracy by comparing eth_blockNumber and eth_getLogs responses against trusted sources.
Conclusion:
DApp users don’t care if it was the RPC’s fault, they blame your product.
If you’re building on Web3, treat your RPC infrastructure like part of your frontend. Because that’s how users experience it.
Need help optimizing your Web3 stack?
At Info-Polus, we’ve helped dozens of teams scale DApps with better infra and better devs.
Let’s improve your product, from RPC to UI! Visit our website here!
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