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Show HN: SafeClaw – a way to manage multiple Claude Code instances in containers

https://github.com/ykdojo/safeclaw
1•ykdojo•1m ago•0 comments

The Future of the Global Open-Source AI Ecosystem: From DeepSeek to AI+

https://huggingface.co/blog/huggingface/one-year-since-the-deepseek-moment-blog-3
1•gmays•2m ago•0 comments

The Evolution of the Interface

https://www.asktog.com/columns/038MacUITrends.html
1•dhruv3006•3m ago•0 comments

Azure: Virtual network routing appliance overview

https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-routing-appliance-overview
1•mariuz•4m ago•0 comments

Seedance2 – multi-shot AI video generation

https://www.genstory.app/story-template/seedance2-ai-story-generator
1•RyanMu•7m ago•1 comments

Πfs – The Data-Free Filesystem

https://github.com/philipl/pifs
1•ravenical•10m ago•0 comments

Go-busybox: A sandboxable port of busybox for AI agents

https://github.com/rcarmo/go-busybox
2•rcarmo•11m ago•0 comments

Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery [pdf]

https://research.nvidia.com/labs/nemotron/files/NVFP4-QAD-Report.pdf
1•gmays•12m ago•0 comments

xAI Merger Poses Bigger Threat to OpenAI, Anthropic

https://www.bloomberg.com/news/newsletters/2026-02-03/musk-s-xai-merger-poses-bigger-threat-to-op...
1•andsoitis•12m ago•0 comments

Atlas Airborne (Boston Dynamics and RAI Institute) [video]

https://www.youtube.com/watch?v=UNorxwlZlFk
1•lysace•13m ago•0 comments

Zen Tools

http://postmake.io/zen-list
1•Malfunction92•16m ago•0 comments

Is the Detachment in the Room? – Agents, Cruelty, and Empathy

https://hailey.at/posts/3mear2n7v3k2r
1•carnevalem•16m ago•0 comments

The purpose of Continuous Integration is to fail

https://blog.nix-ci.com/post/2026-02-05_the-purpose-of-ci-is-to-fail
1•zdw•18m ago•0 comments

Apfelstrudel: Live coding music environment with AI agent chat

https://github.com/rcarmo/apfelstrudel
1•rcarmo•19m ago•0 comments

What Is Stoicism?

https://stoacentral.com/guides/what-is-stoicism
3•0xmattf•20m ago•0 comments

What happens when a neighborhood is built around a farm

https://grist.org/cities/what-happens-when-a-neighborhood-is-built-around-a-farm/
1•Brajeshwar•20m ago•0 comments

Every major galaxy is speeding away from the Milky Way, except one

https://www.livescience.com/space/cosmology/every-major-galaxy-is-speeding-away-from-the-milky-wa...
2•Brajeshwar•20m ago•0 comments

Extreme Inequality Presages the Revolt Against It

https://www.noemamag.com/extreme-inequality-presages-the-revolt-against-it/
2•Brajeshwar•20m ago•0 comments

There's no such thing as "tech" (Ten years later)

1•dtjb•21m ago•0 comments

What Really Killed Flash Player: A Six-Year Campaign of Deliberate Platform Work

https://medium.com/@aglaforge/what-really-killed-flash-player-a-six-year-campaign-of-deliberate-p...
1•jbegley•21m ago•0 comments

Ask HN: Anyone orchestrating multiple AI coding agents in parallel?

1•buildingwdavid•23m ago•0 comments

Show HN: Knowledge-Bank

https://github.com/gabrywu-public/knowledge-bank
1•gabrywu•28m ago•0 comments

Show HN: The Codeverse Hub Linux

https://github.com/TheCodeVerseHub/CodeVerseLinuxDistro
3•sinisterMage•29m ago•2 comments

Take a trip to Japan's Dododo Land, the most irritating place on Earth

https://soranews24.com/2026/02/07/take-a-trip-to-japans-dododo-land-the-most-irritating-place-on-...
2•zdw•29m ago•0 comments

British drivers over 70 to face eye tests every three years

https://www.bbc.com/news/articles/c205nxy0p31o
40•bookofjoe•30m ago•13 comments

BookTalk: A Reading Companion That Captures Your Voice

https://github.com/bramses/BookTalk
1•_bramses•31m ago•0 comments

Is AI "good" yet? – tracking HN's sentiment on AI coding

https://www.is-ai-good-yet.com/#home
3•ilyaizen•32m ago•1 comments

Show HN: Amdb – Tree-sitter based memory for AI agents (Rust)

https://github.com/BETAER-08/amdb
1•try_betaer•32m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
2•anhxuan•32m ago•0 comments

Show HN: Seedance 2.0 Release

https://seedancy2.com/
2•funnycoding•33m ago•0 comments
Open in hackernews

Ask HN: How to gain a solid understanding of IMUs?

1•feefifoflux•1mo ago
My background is primarily software (Python, AI/ML, large-scale data). This is my first serious hardware-heavy product.

I’m working on a company concept that depends on embedded IMUs, and I’m trying to front-load learning so I don’t lock myself into poor architectural, software or component decisions early on, especially those pitfalls that someone with more knowledge/expertise would know how to avoid.

I understand “learning by doing” is essential, but I suspect there are canonical pitfalls and resources I should study before committing deeply to hardware.

Here are the parameters of the project:

* The IMU environment will be abusive, with vibrations and impacts. The vibrations and impacts are not the object of analysis (i.e. noise), but I do want to account for them so they do not pollute the data and design the platform so the platform survives.

* I will need low-power/sleep/wake-on-accel in order to achieve the desired battery life.

* The IMUs will transmit to a gateway via bluetooth in short bursts of less than 60 seconds, 10-20 times per day, and sleep the rest of the time.

* There could be 20-40 IMUs transmitting simultaneously.

* The production IMU platform needs to be very short, i.e. height = 3-6mm.

* The implementation requires that the batteries on board are not rechargeable, but last the life of the IMU unit, i.e. 2+ years.

* The way the IMU units are implemented, there should be an opportunity to sample the unit at rest for calibration purposes, e.g. biases, etc.

Here are some subject areas I have marked for further study/inquiry:

* Handling biases

* Kalman filtering

* Error propagation in single/double integration, i.e. velocity and position

* Low-power configuration

* Bluetooth communications

* Battery/power options that meet the 2+ year goal

I am seeking guidance/wisdom to better prepare myself for the core challenges I will face on the IMU/hardware portion of this project.

Specifically, I am seeking cherished, esteemed, favorite resources on the following subjects areas as well as the addition of any resources/subjects you deem important:

* Underlying IMU physics, i.e. first principles

* Handling bias/calibration

* Error propagation, single/double integration

* Kalman filtering for IMU data

* Bluetooth comms for IMUs

* Low-power/sleep configurations

* Battery/power options, i.e. under 5mm, 2+ years

* IATF-16949 compliant manufacturers and how it will benefit the project? Perspectives/opinions?

I have made the standard appeals to Google search and GPT, but I am not convinced I have found all the preliminary materials required for this project to succeed.

Here is an example of a resource that I think is informative, but again, I don't have the expertise to make that judgement definitively: An Introduction to Inertial Navigation by Oliver J. Woodman

FWIW, I am using the Seeed Studio XIAO nRF52840 Sense for prototyping. The inquiry above is for both prototyping and production.

Comments

jeffreygoesto•1mo ago
The iPhone uses Bosch sensors, you might want to check https://www.bosch-sensortec.com/products/motion-sensors/imus...