Low-Latency .NET to Rust/C++ Bridge

Problem Context

Developers building high-frequency trading systems or latency-sensitive applications in .NET often hit performance walls, especially with JSON parsing and property access. Even compiled languages like C# or F# can’t match the raw speed of Rust or C++ for critical operations, forcing them to either accept slower execution or manually integrate native code—which adds complexity and risk.

Pain Points

Manual integrations like P/Invoke or C++/CLI are error-prone and hard to maintain. gRPC/REST microservices add latency and deployment overhead. Existing tools either don’t support .NET natively or require deep low-level expertise to set up, leaving developers stuck with suboptimal performance or costly custom solutions.

Impact

Slow performance directly translates to lost revenue in trading (e.g., missed arbitrage opportunities, delayed order execution). It also wastes engineering time on workarounds instead of building core features. Frustration grows when performance bottlenecks become a recurring blocker in sprints.

Urgency

In trading, milliseconds matter—every second of latency can mean thousands in lost profits. Developers can’t ignore this problem because it’s not just a technical debt issue; it’s a revenue leak. The longer they wait, the more they fall behind competitors who’ve optimized their stacks.

Target Audience

Quantitative traders, algorithmic trading developers, and fintech engineers working on low-latency systems will face this. It also affects high-frequency trading (HFT) firms, proprietary trading teams, and any business where .NET is used for real-time data processing or market-making.

Solution Approach

A lightweight, battle-tested bridge that lets .NET applications call Rust or C++ functions with near-zero overhead. It abstracts away the complexity of manual integrations (like P/Invoke) while delivering the speed of native code. The solution includes a NuGet package for easy .NET integration and a cloud-based proxy for cross-platform support.

Key Features

1. Pre-Optimized Rust/C++ Backends: Trading-specific optimizations (e.g., ultra-fast JSON parsing, low-latency property access) built into the core library.
2. Cloud Proxy for Cross-Platform Use: A managed service that handles the heavy lifting of native code execution, so users don’t need to deploy C++ dependencies.
3. Performance Monitoring: Built-in dashboards to track latency improvements and identify new bottlenecks.

User Experience

Developers add the NuGet package to their .NET project, then annotate their methods with a custom attribute to mark them for optimization. The bridge automatically offloads the work to Rust/C++ in the background. For cloud users, they just point their .NET app to the proxy endpoint—no native code deployment required. They see immediate speedups (e.g., 3x faster JSON parsing) with zero code changes.

Differentiation

Unlike generic performance tools, this is built for trading and fintech, with optimizations tailored to their workflows (e.g., market data parsing, order book processing). It avoids the pitfalls of manual integrations (memory leaks, platform dependencies) while being easier to use than gRPC microservices. The cloud proxy eliminates deployment headaches, making it viable for teams without C++ expertise.

Scalability

Starts as a per-developer license (e.g., $99/mo per seat) and scales to enterprise pricing for large trading firms. Additional features like custom Rust/C++ backends or priority support can be added as users grow. The cloud proxy model ensures it works for teams of any size, from solo quants to 100+ engineer HFT shops.

Expected Impact

Users regain lost revenue from faster execution (e.g., capturing more trades per second). Engineering teams save weeks of workarounds and debugging. The bridge becomes a critical part of their stack, reducing the risk of performance-related outages. Over time, they can expand usage to other latency-sensitive parts of their system.