Tell more about your setup!
posted some details at https://news.ycombinator.com/item?id=45150761. happy to answer any additional queries you may have.
Readit Newstroysk commented on WiFi signals can measure heart rate news.ucsc.edu/2025/09/pul... · Posted by u/bookofjoe
troysk commented on WiFi signals can measure heart rate news.ucsc.edu/2025/09/pul... · Posted by u/bookofjoe
You can buy them on Aliexpress for $5. YouTube and a cursory google search will give you many many options to choose from for examples and tutorials.
don't get the $5 ones, they are probably just presence detector or at best distance detector and probably work on 24Ghz. Get the 60Ghz for breathing, heart rate, posture etc.
troysk commented on WiFi signals can measure heart rate news.ucsc.edu/2025/09/pul... · Posted by u/bookofjoe
Do you have a writeup about this somewhere? I'd love to know more.
Unfortunately no. But fortunately, it isn't something new I have built. I use a Seed Studio sensor MR60BHA2 which has an ESP32 which sends the data to Home Assistant through ESPHome. Once it is in Home Assistant you can do automations and notifications. I mostly use it for elderly care. I have another DFRobot C1001 sensor but waiting for ESPHome to add support for it. It has fall detection also which is why I am planning to replace it. They are fairly accurate; ~90%; has been my experience. They work better when mounted on ceiling and have a cone like coverage.
troysk commented on WiFi signals can measure heart rate news.ucsc.edu/2025/09/pul... · Posted by u/bookofjoe
I do it using MMWave sensor, 60Ghz one. Want to have more of them but installation is a pain as these need to be mounted on ceiling so WiFi based sensor would be awesome!
troysk commented on Builder.ai did not "fake AI with 700 engineers" newsletter.pragmaticengin... · Posted by u/tanelpoder
The post seems like a paid job as Engineer.ai rebranded to Builder.ai when they were accused of faking AI
https://analyticsindiamag.com/ai-features/sachin-duggal-spea...
https://www.wsj.com/articles/ai-startup-boom-raises-question...
https://techcrunch.com/2019/11/25/engineer-ai-launches-its-b...
troysk commented on Why are cancer guidelines stuck in PDFs? seangeiger.substack.com/p... · Posted by u/huerne
I find the web(HTML/CSS) the most open format for sharing. PDFs are hard to be consumed on smaller devices and much harder to be read by machines. I am working on a feature at Jaunt.com to convert PDFs to HTML. It shows up as reader mode icon. Please try it out and see if it is good enough. I personally think we need to do much better job.
https://jaunt.com
Deleted Comment
Have you checked out Mathpix? It's another option.
Disclaimer: I'm the founder.
+1! Most LLMs can already output Mathpix markdown. I prompt it to do so and it gives the code and this use a rendering library to show the scalable and selectable equations. No wonder facebook nougat also uses it. Good stuff!
troysk commented on Show HN: LLM-aided OCR – Correcting Tesseract OCR errors with LLMs github.com/Dicklesworthst... · Posted by u/eigenvalue
I agree that vision models that actually have access to the image are a more sound approach than using OCR and trying to fix it up. It may be more expensive though, and depending on what you're trying to do it may be good enough.
What I want to do is reading handwritten documents from the 18th century, and I feel like the multistep approach hits a hard ceiling there. Transkribus is multistep, but the line detecion model is just terrible. Things that should be easy, such as printed schemas, utterly confuse it. You simply need to be smart about context to a much higher degree than you need in OCR of typewriter-written text.
both openai and claude vision models are able do that for me. It is more expensive than tesseract which can run on cpu but I assume it will become similarly cheap in the near future with open models and as AI becomes ubiquitous.
troysk commented on Show HN: LLM-aided OCR – Correcting Tesseract OCR errors with LLMs github.com/Dicklesworthst... · Posted by u/eigenvalue
Segmenting can likely be done on a really small resolution and with a CNN, making it real short.
There are some heuristic ways of doing it but i doubt you'll be able to distinguish equations from text.
Segmenting at lower resolution and then using them at higher resolution using resolution multipliers don't work as other items bleed in. FastSAM paper has some interesting ideas on doing this with CNNs which I guess SAM2 have superseded. However, the complication in the pipeline is not worth the result as I find vision LLMs are able to do almost the same task within the same OCR prompt.