Artem Mavrin
Low-latency Solana RPC SaaS for HFT, MEV, AI trading agents, and real-time apps. Built for faster data, better routing, and stable performance under load.
RPC Fast is a Solana RPC SaaS built for teams that compete on speed. It serves HFT traders, AI trading agents, MEV bots, wallets, aggregators, DeFi apps, indexers, and analytics platforms that need faster access to Solana data and more reliable transaction delivery. The product is positioned for operators whose revenue depends on milliseconds, with messaging focused on detecting events sooner, propagating transactions faster, and maintaining stable inclusion in competitive blocks.
What makes RPC Fast different is its focus on execution, not only access. Many providers sell “RPC” as a generic API endpoint. RPC Fast packages the parts serious Solana teams usually need to assemble themselves: JSON-RPC for reads and writes, WebSocket subscriptions for reactive updates, Yellowstone gRPC for structured validator-level streaming, Shredstream gRPC for lower-latency visibility, and Aperture gRPC for more advanced execution-sensitive workflows. The result is a single stack designed for products where speed, consistency, and real-time data flow matter more than cheap shared access.
The platform is built around measurable performance claims. On its site, RPC Fast highlights under-20ms end-to-end actionable latency, sub-100ms signal delivery, 99.9% consistent data propagation, stable p95 and p99 behavior under pressure, and priority routing aimed at stronger same-block consistency during volatility. It also emphasizes tuned bare-metal infrastructure, leader-aware routing, and validator-connected pathways rather than generic cloud-first positioning. For Solana teams running latency-sensitive strategies, this framing is far more relevant than broad claims about throughput alone.
RPC Fast is especially relevant for systems built around live event ingestion. Its documentation explains that gRPC streaming is best suited for high-frequency trading, real-time arbitrage engines, MEV systems, large-scale indexing, analytics pipelines, and applications handling thousands of updates per second. It also outlines why this matters: gRPC reduces JSON overhead, supports advanced filtering, and delivers structured data with lower latency and higher throughput than simpler polling or lightweight subscription patterns.
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