Sub-microsecond (890 ns) trading execution research system
Details
- External ID
- 46275004
- Source
- HN
- Company
- —
- Product
- Sub-microsecond (890 ns) trading execution research system
- Website domain
- krishnabajpai.me
- Launched
- Dec. 15, 2025
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.10400763358778627
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
I am sharing a research-grade, open-source trading execution framework that achieves a median end-to-end decision latency of 890 nanoseconds on commodity hardware.The project is designed for education, systems research, and latency instrumentation, not for live trading. It focuses on understanding exactly where every nanosecond goes in a trading execution path.Key features:- Kernel-bypass networking: Direct userspace access to NICs via custom drivers, 20-50 ns RX latency - Lock-free SPSC/MPSC queues: Zero-copy architecture - SIMD feature extraction: About 40 ns per update using AVX-512 - Deterministic replay: Bit-identical execution paths, SHA-256 verified - Nanosecond-level metrics: Full audit logs and performance dashboardTechnical stack: C++17 and Rust, NUMA-aware memory allocation, cache-line alignment, inline assembly for hot paths.The framework is modular, allowing experimentation with different NIC drivers, feature extraction pipelines, or order-flow models such as Hawkes processes or Avellaneda-Stoikov logic. Everything is open source and documented.Links:Live demo: https://submicro.krishnabajpai.me/ Source code: https://github.com/krish567366/submicro-execution-engine Bare-metal NIC drivers: https://baremetalnic.krishnabajpai.me/I would welcome feedback from anyone working on low-latency systems, networking, or HFT research.Some questions for discussion:- Which part of the execution path is typically hardest to optimize? - What measurement techniques do you trust for sub-microsecond systems?This project is for research and educational purposes only. It does not connect to exchanges or execute real trades. It is intended as a sandbox for understanding ultra-low-latency execution.I am happy to answer questions about methodology, performance, or design trade-offs.
Enrichment
- Theme
- lightweight and on-device AI runtimes
- Vertical
- Fintech
- Function
- Model & infra
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- ultra-low latency trading execution research system
- Manually corrected
- False
Could you build this?
No Achieving sub-microsecond (890 ns) decision latency requires ultra-low-latency C++ programming, kernel bypass networking, cache-line optimization, and specialized hardware-level systems knowledge.
What it would actually take: A production-grade 890ns execution engine requires low-latency C++ or Rust using lock-free ring buffers, custom memory allocators, and strict avoidance of syscalls and context switches. Developers need expertise in CPU core pinning, cache coherence, branch prediction optimization, and kernel bypass stacks (such as Solarflare EF_VI or DPDK). Extensive benchmarking with hardware timestamping (TSC counters) and assembly verification is required.
Discussion
9 comments analyzed.
Concerns raised: No actual source code committed, only scaffolding and measurement framework, Proprietary C++ execution core not published, Claims lack independent verification and reproducibility, AI-generated content concerns about response quality, Illustrative logging examples shown as current implementation
Competitors
Other products that read as similar to this one — 145 launches clear the similarity bar, closest 8 shown.
Attention rank: #134 of 146 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 47 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.