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fleahunteryesterday at 12:39 PM2 repliesview on HN

The most interesting bit here to me isn’t the $5 or the DIY, it’s that this is quietly the opposite of how we usually “do” sensing in 2025.

Most bioacoustics work now is: deploy a recorder, stream terabytes to the cloud, let a model find “whale = 0.93” segments, and then maybe a human listens to 3 curated clips in a slide deck. The goal is classification, not experience. The machines get the hours-long immersion that Roger Payne needed to even notice there was such a thing as a song, and humans get a CSV of detections.

A $5 hydrophone you built yourself flips that stack. You’re not going to run a transformer on it in real time, you’re going to plug it into a laptop or phone and just…listen. Long, boring, context-rich listening, exactly the thing the original discovery came from and that our current tooling optimizes away as “inefficient”.

If this stuff ever scales, I could imagine two very different futures: one is “citizen-science sensor network feeding central ML pipelines”, the other is “cheap instruments that make it normal to treat soundscapes as part of your lived environment”. The first is useful for papers. The second actually changes what people think the ocean is.

The $5 is important because it makes the second option plausible. You don’t form a relationship with a black-box $2,000 research hydrophone you’re scared to break. You do with something you built, dunked in a koi pond, and used to hear “fish kisses”. That’s the kind of interface that quietly rewires people’s intuitions about non-human worlds in a way no spectrogram ever will.


Replies

zimpenfishyesterday at 9:18 PM

> You’re not going to run a transformer on it in real time

Why not? You can run BirdNET's model live in your browser[0]. Listen live and let the machine do the hard work of finding interesting bits[1] for later.

[0] https://birdnet-team.github.io/real-time-pwa/about/

[1] Including bits that you may have missed, obvs.

jasonjayryesterday at 3:59 PM

Cheap sensors, used by many, is how we get more reproducability, more citizen science, and more understanding of the world around us.

RTL-SDR is another area where this there is so much to see 'hidden' in electromagnetic radio frequency space.