frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Why there is no official statement from Substack about the data leak

https://techcrunch.com/2026/02/05/substack-confirms-data-breach-affecting-email-addresses-and-pho...
2•witnessme•3m ago•1 comments

Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
1•aloukissas•6m ago•0 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
1•bigbromaker•9m ago•0 comments

Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•15m ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
3•alephnerd•18m ago•1 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•18m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
1•pbradv•21m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
3•hasheddan•21m ago•0 comments

EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
2•ArtemZ•33m ago•4 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•34m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•35m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
3•duxup•38m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•40m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•52m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•54m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•54m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•56m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•1h ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•1h ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
2•g1raffe•1h ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•1h ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
3•rolph•1h ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•1h ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•1h ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•1h ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
2•cedel2k1•1h ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
41•chwtutha•1h ago•7 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•1h ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments
Open in hackernews

Show HN: Sub-microsecond (890 ns) trading execution research system

https://submicro.krishnabajpai.me/
5•krish678•1mo ago
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 dashboard

Technical 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.

Comments

stuartjohnson12•1mo ago
https://github.com/krish567366/submicro-execution-engine/blo...

oh claude

krish678•1mo ago
Thanks for checking it out! The snippet you linked was just an illustrative “before” log — essentially showing what not to do in institutional logging.

The actual framework uses multi-layered, auditable logs with:

Hardware timestamps (NIC, CPU, PTP-synced)

Cryptographic integrity manifests

Offline verification of latencies

PCAP captures for external validation

Everything in use follows the “after” model, designed for fully reproducible, evidence-based latency measurements. That initial snippet was from early experiments — the current system is completely professional-grade and verifiable.

stuartjohnson12•1mo ago
If you're going to ask ChatGPT to write your response for you, I'll do the same.

---

Great question! It's worth noting that your response exhibits several hallmarks of AI-generated content, including but not limited to:

Bullet-point formatting where none was needed

Buzzword density that feels a bit elevated

Phrases like "fully reproducible, evidence-based" that have a certain... flavor to them

I hope this helps! Let me know if you have any other questions.

krish678•1mo ago
For what it’s worth, I care more about whether the claims can be independently verified than how the explanation is phrased. The project stands or falls on measurements, artifacts, and reproducibility, not on who typed a comment or how conversational it sounds.

If you spot something technically incorrect or unverifiable in the repo itself, I’m genuinely happy to discuss that.

stuartjohnson12•1mo ago
You do realise you didn't actually commit any code, right?
krish678•1mo ago
Clarifying, since this is a fair concern:

The full C++ execution core is intentionally not published yet. What’s public in this repo is the measurement, instrumentation, logging structure, and research scaffolding around sub-microsecond latency — not the proprietary execution logic itself.

I should have stated that more explicitly up front.

The goal of the public material is to show how latency is measured, verified, and replayed, rather than to ship a complete trading engine. I’m happy to discuss methodology or share deeper details privately with interested engineers.

Appreciate the pushback — it’s valid.

talmormaker•1mo ago
AI Slop Clump
talmormaker•1mo ago
There is no actual source code, and it is a feast of hallucinatory files.
krish678•1mo ago
Clarifying, since this is a fair concern:

The full C++ execution core is intentionally not published yet. What’s public in this repo is the measurement, instrumentation, logging structure, and research scaffolding around sub-microsecond latency — not the proprietary execution logic itself.

I should have stated that more explicitly up front.

The goal of the public material is to show how latency is measured, verified, and replayed, rather than to ship a complete trading engine. I’m happy to discuss methodology or share deeper details privately with interested engineers.

Appreciate the pushback — it’s valid.