2025 Hackaday Speakers, Round One! And Spoilers

Supercon is the Ultimate Hardware Conference and you need to be there! Just check out this roster of talks that will be going down. We’ve got something for everyone out there in the Hackday universe, from poking at pins, to making things beautiful, to robots, radios, and FPGAs. And this isn’t even half of the list yet.

We’ve got a great mix of old favorites and new faces this year, and as good as they are, honestly the talks are only half of the fun. The badge hacking, the food, the brainstorming, and just the socializing with the geekiest of the geeky, make it an event you won’t want to miss. If you don’t have tickets yet, you can still get them here.

Plus, this year, because Friday night is Halloween, we’ll be hosting a Sci-Fi-themed costume party for those who want to show off their best props or most elaborate spacesuits. And if that is the sort of thing that you’re into, you will absolutely want to stay tuned to our Keynote Speaker(s) announcement in a little while. (Spoiler number one.) Continue reading “2025 Hackaday Speakers, Round One! And Spoilers”

A Trail Camera Built With Raspberry Pi

You can get all kinds of great wildlife footage if you trek out into the woods with a camera, but it can be tough to stay awake all night. However, this is a task you can readily automate, as [Luke] did with his DIY trail camera.

A Raspberry Pi Zero 2W serves as the heart of the build. It’s compact and runs on very little power, but also provides a good amount more processing power than the original Raspberry Pi Zero. It’s kitted out with the Raspberry Pi AI Camera, which uses the Sony IMX500 Intelligent Vision Sensor — providing a great platform for neural networks doing image classification and similar machine learning tasks. A Witty Pi power management module is used both for its real time clock and to schedule start-ups and shutdowns to best manage the power on offer from the batteries. All these components are wrapped up in a 3D printed housing to keep the Pi safe out in the wild.

We’ve seen some neat projects in this vein before.

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A Cut Above: Surgery In Space, Now And In The Future

In case you hadn’t noticed, we live in a dangerous world. While our soft, fleshy selves are remarkably good at absorbing kinetic energy and healing the damage that results, there are very definite limits to what we humans can deal with, beyond which we’ll need some help. Car crashes, falls from height, or even penetrating trauma such as gunshot wounds — events such as these will often land you in a trauma center where, if things are desperate enough, you’ll be on the operating table within the so-called “Golden Hour” of maximum survivability, to patch the holes and plug the leaks.

While the Golden Hour may be less of a hard limit than the name implies, it remains true that the sooner someone with a major traumatic injury gets into surgery, the better their chances of survival. Here on planet Earth, most urban locations can support one or more Level 1 trauma centers, putting huge swathes of the population within that 60-minute goal. Even in rural areas, EMS systems with Advanced Life Support crews can stabilize the severely wounded until they can be evacuated to a trauma center by helicopter, putting even more of the population within this protective bubble.

But ironically, residents in the highest-priced neighborhood in human history enjoy no such luxury. Despite only being the equivalent of a quick helicopter ride away, the astronauts and cosmonauts aboard the International Space Station are pretty much on their own when it comes to any traumatic injuries or medical emergencies that might crop up in orbit. While the ISS crews are well-prepared for that eventuality, as we’ll see, there’s only so much we can do right now, and we have a long way to go before we’re ready to perform surgery in space

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Ask Hackaday: What’s The Top Programming Language Of 2025

We did an informal poll around the Hackaday bunker and decided that, for most of us, our favorite programming language is solder. However, [Stephen Cass] over at IEEE Spectrum released their annual post on The Top Programming Languages. We thought it would be interesting to ask you what you think is the “top” language these days and why.

The IEEE has done this since 2013, but even they admit there are some issues with how you measure such an abstract idea. For one thing, what does “top” mean anyway? They provide three rankings. The first is the “Spectrum” ranking, which draws data from various public sources, including Google search, Stack Exchange, and GitHub.

The post argues that as AI coding “help” becomes more ubiquitous, you will care less and less about what language you use. This is analogous to how most programmers today don’t really care about the machine language instruction set. They write high-level language code, and the rest is a detail beneath their notice. They also argue that this will make it harder to get new languages in the pipeline. In the old days, a single book on a language could set it on fire. Now, there will need to be a substantial amount of training data for the AI to ingest. Even now, there have been observations that AI writes worse code for lesser-used languages.

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A violet laser beam is shown expanding outward from a diode in a darkened room and illuminating the back of a man's hand.

Driving A Laser At 200 Volts For Nanoseconds

If there’s one lesson to be learned from [Aled Cuda]’s pulsed laser driver, it’s that you can treat the current limits on electronic components as a suggestion if the current duration is measured in nanoseconds.

The components in question are a laser diode and an NPN transistor, the latter of which operates in avalanche mode to drive nanosecond-range pulses of high current through the former. A buck-boost converter brings a 12 volt power supply up to 200 volts, which then passes through a diode and into the avalanche transistor, which is triggered by an external pulse generator. On the other side of the transistor is a pulse-shaping network of resistors and capacitors, the laser diode, and a parallel array of low-value resistors, which provide a current monitor by measuring the voltage across them. There is an optoisolator to protect the pulse generator from the 200 volt lines on the circuit board, but for simplicity’s sake it was omitted from this iteration; there is some slight irony in designing your own laser driver for the sake of the budget, then controlling it with “a pulse generator we don’t mind blowing up.” We can only assume that [Aled] was confident in his work.

The video below details the assembly of the circuit board, which features some interesting details, such as the use of a transparent solder mask which makes the circuit layout clear while still helping to align components during reflow. The circuit did eventually drive the diode without destroying anything, even though the pulses were probably 30 to 40 watts. A pulse frequency of 360 hertz gave a nice visual beating effect due to small mismatches between the pulse frequency of the driver and the frame rate of the camera.

This isn’t the first laser driver to use avalanche breakdown for short, high-power pulses, but it’s always good to see new implementations. If you’re interested in further high-speed electronics, we’ve covered them in more detail before.

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YouTube… Over Dial Up

In the days of yore, computers would scream strange sounds as they spoke with each other over phone lines. Of course, this is dial up, the predecessor to modern internet technology, offering laughable speeds compared to modern connections. But what if dial up had more to offer? Perhaps it could even stream a YouTube video. That’s what the folks over at The Serial Port set out to find out.

The key to YouTube over dial up is a little known part of the protocol added right around the time broadband was taking off called multilink PPP. This protocol allows for multiple modems connected to a PC in parallel for faster connections. With no theoretical limit in sight, and YouTube’s lowest quality requiring a mere 175 Kbps, the goal was clear: find if there is a limit to multilink PPP and watch YouTube over dialup in the process.

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Creating Python GUIs With GIMP

GUI design can be a tedious job, requiring the use of specialist design tools and finding a suitable library that fits your use case. If you’re looking for a lightweight solution, though, you might consider just using a simple image editor with a nifty Python library that [Manish Kathuria] whipped up.

[Manish’s] intention was to create a better-looking user interface solution for Python apps that was also accessible. He’d previously considered other Python GUI options to be unimpressive, requiring a lot of code and delivering undesirable results. His solution enables the use of just about any graphic you can think of as a UI object, creating all kinds of visually-appealing possibilities. He also was eager to make sure his solution would work with irregular-shaped buttons, sliders, and other controls—a limitation popular libraries like Tkinter never quite got around.

The system simply works by using layered image files to create interactive interfaces, with a minimum of code required to define the parameters and performance of the interface. You’re not strictly limited to using the GIMP image editor, either; some of the examples use MS Paint instead. Files are on Github for those eager to try the library for themselves.

We’ve featured some neat GUI tools before, too, like this library for embedded environments. Video after the break.

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