Recent submissions

Comment · 3 months ago
Needs a way to copy and paste text to share with friends. I feel like this is what made wordle viral
Comment · 4 months ago
I wish library of things had tape writers and readers. Magnetic tape storage is quite cost effective for data backups and archiving.
Comment · 7 months ago
Might have been a key differentiator for Stadia.

Other comments are worrying about the streaming and latency but local split screen could also be another use case here.

Comment · 7 months ago
How does it have details for M4 ultra?
Comment · 8 months ago
> Let your would-be-rescuers know your position and status

Stupid question, do search and rescue services even have equipment that can tune into HAM frequencies, are they even listening on those frequencies, and do they regularly train on communicating with the HAM community?

I'm sure there are more established ways of radioing for help in the maritime world(Aviation has the guard frequency)

Comment · 8 months ago
Comment · 10 months ago
Comment · 11 months ago
Comment · 1 year ago
Instead, can we implement autonomous formation flying? Each aircraft can still have its own engines and control, but can make a V shape allowing the following planes to run more efficiently.
Comment · 1 year ago
It's a disclaimer that they have no idea what they code does.
Comment · 1 year ago
Comment · 1 year ago
How do beavers increase total water flow? I can see them causing more water to be held upstream.
Comment · 1 year ago
Is this going to finally replace all the Xbox Kinects everyone uses?
Comment · 1 year ago
I find this kind of thing a good case for LLMs as they can dumb down the technical jargon:

From Gemini:

```

Imagine you're trying to record someone talking in a noisy room using your MacBook's built-in microphones. This software acts like a super-smart filter:

* It knows where the microphones are: Apple laptops have multiple tiny microphones.

* It listens to all of them at once: It takes the input from all the microphones.

* It figures out where the person talking is: It analyzes the sound to find the direction of the voice.

* It focuses on that voice: It boosts the sound coming from that direction.

* It quiets down the other noises: It reduces the sound from other directions, like background chatter.

So, instead of getting a muddy recording with lots of noise, you get a clearer recording of the person you want to hear. Basically, it makes your MacBook's microphones sound much better in noisy environments. And it's designed to work within audio programs that use a specific plugin format called LV2.

```

Comment · 1 year ago

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton