Recently, I’ve been diving into the world of DePIN (Decentralized Physical Infrastructure Networks), and it’s been a notable shift. These projects use things we already own—like phones, cars, or even unused internet bandwidth—to create ways to earn money. Here’s how I’ve been making the most of it:
Driving with NATIX Network’s Drive&
One app I’ve been using is Drive& by NATIX Network. It’s remarkably simple: download the app, turn your phone into a dashcam while you’re driving, and earn rewards. There’s no need for fancy equipment or extra effort—I’m driving anyway, so why not earn while I’m at it?
Measuring Noise with Silencio Network
Another interesting project I’ve tried is Silencio Network. They pay users to collect noise pollution data using their phones. It’s fascinating how they turn everyday sounds into valuable data, and you get rewarded just for participating.
Sharing Internet with GetGrass
GetGrass is another simple way to earn. It lets you share idle internet bandwidth and rewards you for it. It’s an easy way to contribute to a larger network while earning a bit on the side.
What’s Next?
I’m curious if others have tried these or similar DePIN projects. What’s been your experience? Are there any other apps or projects out there that I should check out? Let’s share ideas and make the most of these opportunities!
@Emerson
Impressive and quite the dedication. Not bad at all for passive streams. Are you always on the lookout to add more to your table? What’s your goal for the coming year in regards to this? Thank you for sharing.
How does Silencio work? Do you run it on your phone and it just monitors your environment 24/7? Or do you leave a cell or other dedicated device outside your door to monitor one set point all the time?
So, when people say something like ‘I earn xxx amount of money from using yyy app’ on the internet, is that just crypto money, or are they able to convert that crypto money into real dollars?
I’ve been using all three of the platforms you mentioned, but NATIX is the one I’m enjoying the most. Its contribution to geospatial data and street mapping is truly impressive.