// Free Developer Tool
Execution Latency Calculator.
Configure your bot's current setup and see exactly where milliseconds are lost. Compare RPC polling, WebSocket, raw gRPC, and pre-parsed gRPC side by side.
Your current setup
Execution latency comparison
Switching from JSON-RPC Polling to Subglow saves 523ms per transaction. 28ms of that is parsing overhead that Subglow eliminates entirely.
Try Subglow free →| Component | RPC Poll | WebSocket | Raw gRPC | Subglow |
|---|---|---|---|---|
| Data delivery | 515ms | 95ms | 20ms | 20ms |
| Parse overhead | 28ms | 28ms | 28ms | 0ms |
| Bot logic | 5ms | 5ms | 5ms | 5ms |
| Total | 548ms | 128ms | 53ms | 25ms |
Frequently asked questions
What is execution latency?
Execution latency is the total time from when a transaction confirms on Solana to when your bot can act on it. It includes data delivery time, parsing/deserialization time, and your bot's decision logic. Most discussions focus on wire latency, but parsing overhead (Borsh + Protobuf) often adds 15-30ms that people overlook.
Why does Borsh parsing take so long?
Solana instructions use Borsh binary serialization. When you receive raw gRPC data, each transaction arrives as a Protobuf message containing Borsh-encoded instruction data. Your bot must: decode Protobuf, identify the program, map instruction discriminators, deserialize Borsh fields, and resolve account indices. In JavaScript, this typically takes 15-30ms per transaction.
How does Subglow eliminate parsing overhead?
Subglow performs all Borsh deserialization, Protobuf decoding, instruction parsing, and account resolution server-side. Your bot receives clean JSON with human-readable fields like token, amount, buyer, and bonding_curve_pct — ready for your decision logic with zero client-side parsing.
Is this calculator accurate?
The calculator uses realistic defaults based on benchmarks across Solana infrastructure. Your actual latency depends on server location, code optimization, language runtime, and load. Adjust the sliders to match your setup for the most accurate comparison.
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