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Bringing Polars to .NET

https://github.com/ErrorLSC/Polars.NET
1•CurtHagenlocher•51s ago•0 comments

Adventures in Guix Packaging

https://nemin.hu/guix-packaging.html
1•todsacerdoti•1m ago•0 comments

Show HN: We had 20 Claude terminals open, so we built Orcha

1•buildingwdavid•2m ago•0 comments

Your Best Thinking Is Wasted on the Wrong Decisions

https://www.iankduncan.com/engineering/2026-02-07-your-best-thinking-is-wasted-on-the-wrong-decis...
1•iand675•2m ago•0 comments

Warcraftcn/UI – UI component library inspired by classic Warcraft III aesthetics

https://www.warcraftcn.com/
1•vyrotek•3m ago•0 comments

Trump Vodka Becomes Available for Pre-Orders

https://www.forbes.com/sites/kirkogunrinde/2025/12/01/trump-vodka-becomes-available-for-pre-order...
1•stopbulying•4m ago•0 comments

Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•7m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•11m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•12m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•13m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
2•Anon84•17m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•18m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•19m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•26m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
2•shervinafshar•28m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•33m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
9•mooreds•33m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•34m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•36m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•40m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•42m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
2•saikatsg•42m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
2•aweussom•42m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•44m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•45m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•46m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•46m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•51m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•53m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•53m ago•1 comments
Open in hackernews

Show HN: Spaceflight-inspired pocket optical breath analyzer – 10Hz CO2/O2

https://mera.fit/
7•larichev•4mo ago
We built a pocket-sized optical breath analyzer based on an optical sensor for measuring CO2 and O2. It streams CPET metrics in real time (VO2, VCO2, VE, RER, Tv etc) for breath-by-breath analysis. Functional prototype based custom PCB, mobile app, and web platform are working.

Demo videos:

https://youtu.be/-DcvRPJJkj0

https://youtube.com/shorts/Ycy8wP4oW2o?si=W0n1Oyof7M37kdta

What’s different

  Instead of electrochemical O₂ fuel cells and typical CO₂ NDIR modules (slower response, periodic replacement/calibration), we use non-consumable optical sensors tuned for breath-by-breath dynamics. Our CO2 channel samples at 10 Hz — roughly ~100× faster than NDIR sensors — and does not require an external pump, improving portability.

  Inspired by the optical, low-drift principles used in spaceflight instrumentation (e.g., Perseverance Mars Rover [1] and NASA PUMA projects [2]), our analyzer uses non-consumable optical gas sensors engineered for stability in harsh environments.

Early specs

  Electronics: custom PCB with ESP32; BLE/Wi-Fi, USB-C, Accelerometer, Magnitometer, PMIC with shipping mode, OTA
  CO₂ sensor: optical IR, 10 Hz; (supports capnography for medical)
  O₂ sensor: optical, T63 < 2 s; low drift (< ~1%/year in lab conditions)
  Flow/Volume: low-inertia turbine (bi-directional), optical interrupter
  Measurements: in-flow, breath-by-breath
  Portability: device < 200 g + ~120 g mask (Hans Rudolph)
  Power: accumulator w/ integrated charging & protection; >4 h typical runtime
  Maintenance: no annual sensor swaps; no bottled-gas calibration

Who it’s for

  Sport labs, pro teams, elite athletes/coaches, premium fitness clubs, nutrition and longevity labs; medical workflows later (post-regulatory).

Limits / open questions

  Enclosure/thermal design, turbine inertia/lag at very low flows, CO2 calibration method, humidity transients, and cross-flow effects are active work. We’ll publish more validation data (and APIs) as we progress.

We’re bootstrapped (no external funding yet). Feedback from practitioners would help us prioritize the roadmap. Happy to answer all questions and brutal feedback welcome! We’re also looking for pilot labs / co-dev partners.

*

[1] - https://www.nasa.gov/news-release/nasas-perseverance-mars-ro...

[2] - https://technology.nasa.gov/patent/LEW-TOPS-16

Comments

mhb•4mo ago
This looks interesting but I first went to the link and couldn't figure out what it was. Shouldn't you put the description you have here on the landing page?

The first thing I see is "Book the Test", "Data Hub". What?

Also, instead of leaving how to use the data up to the imagination, I expect you can get an accurate VO2 max from this. If that is so, that would be worth mentioning since I don't think there is an alternative easy way to get an accurate VO2 max measurement.

larichev•4mo ago
Sorry, this page isn't ready yet. The main page only has basic info. We've got a really tech team (4x PhDs) and we're testing real athletes and doing research, but that makes sense, and we'll definitely add more later! Thanks for your comment!
larichev•4mo ago
Also, VO2max is a very marketing-oriented indicator! But you’re right: the most accurate way to measure VO2max is breath-by-breath gas analysis during a maximal test. Wrist wearables (Garmin, Apple Watch, etc.) infer VO2max from HR/pace/power models it's convenient, but estimates and sport-dependent. Running vs cycling VO2max can differ for the same athlete.

Our device measures breath-by-breath VO2, VCO2 in real time and resolves individual breaths, which may unlock new respiratory metrics for researchers. The accuracy of threshold value measurements is equally important: ventilation threshold 1, ventilation threshold 2, tidal volume etc.

Houston56•4mo ago
Really cool direction. Love seeing VO₂/CO₂ tech get smaller and more accessible.
smoluks•4mo ago
Meow