A Handheld Gaming PC With Steam Deck Vibes

Since its inception, the Steam Deck has been a bit of a game changer in the PC gaming world. The goal of the handheld console was to make PC gaming as easy and straightforward as a walled-garden proprietary console like a Switch or Playstation but still allow for the more open gaming experience of a PC. At its core, though, it’s essentially a standard PC with the parts reorganized into handheld form, and there’s no reason any other small-form-factor PC can’t be made into a similar system. [CNCDan] has the skills and tools needed to do this and shows us how it’s done.

The build is based around a NUC, a small form factor computer that typically uses the same low-power mobile processors and graphics cards found in laptops but without the built-in battery or screen. This one has an AMD Ryzen 7 processor with Radeon graphics, making it reasonably high-performing for its size. After measuring out the dimensions of the small computer and preparing for other components like the battery, joysticks, buttons, and even a trackpad, it was time to create the case. Instead of turning to a 3D printer, this one is instead milled on a CNC machine. Something tells us that [CNCDan] prefers subtractive manufacturing in general.

With all the parts assembled in the case, the build turns into a faithful Steam Deck replica with a few bonuses, like an exposed Ethernet port and the knowledge that everything can easily be fixed since it was built from the ground up in the first place. The other great thing about builds like these is they don’t need an obscure NUC for the hardware; you can always grab your old Framework mainboard for handheld gaming instead. Reminded us of the NucDeck.

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Ethernet From First Principles

For someone programming in a high-level language like Python, or even for people who interact primarily with their operating system and the software running on it, it can seem like the computer hardware is largely divorced from the work. Yes, the computer has to be physically present to do something like write a Hackaday article, but most of us will not understand the Assembly language, machine code, or transistor layout well enough to build up to what makes a browser run. [Francis Stokes] is a different breed, though, continually probing these mysterious low-level regions of our computerized world where he was recently able to send an Ethernet packet from scratch.

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A Tiny Chemistry Lab

While advances in modern technology have allowed average people access to tremendous computing power as well as novel tools like 3D printers and laser cutters for a bare minimum cost, around here we tend to overlook some of the areas that have taken advantage of these trends as well. Specifically in the area of chemistry, the accessibility of these things have opened up a wide range of possibilities for those immersed in this world, and [Marb’s Lab] shows us how to build a glucose-detection lab in an incredibly small form factor.

The key to the build is a set of three laser-cut acrylic sheets, which when sandwiched together provide a path for the fluid to flow as well as a chamber that will be monitored by electronic optical sensors. The fluid is pumped through the circuit by a custom-built syringe pump driven by a linear actuator, and when the chamber is filled the reaction can begin. In this case, if the fluid contains glucose it will turn blue, which is detected by the microcontroller’s sensors. The color value is then displayed on a small screen mounted to the PCB, allowing the experimenter to take quick readings.

Chemistry labs like this aren’t limited to one specific reaction, though. The acrylic plates are straightforward to laser cut, so other forms can be made quickly. [Marb’s Lab] also made the syringe pump a standalone system, so it can be quickly moved or duplicated for use in other experiments as well. If you want to take your chemistry lab to the extreme, you can even build your own mass spectrometer.

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Using AI To Help With Assembly

Although generative AI and large language models have been pushed as direct replacements for certain kinds of workers, plenty of businesses actually doing this have found that using this new technology can cause more problems than it solves when it is given free reign over tasks. While this might not be true indefinitely, the real use case for these tools right now is as a kind of assistant to certain kinds of work. For this they can be incredibly powerful as [Ricardo] demonstrates here, using Amazon Q to help with game development on the Commodore 64.

The first step here was to generate code that would show a sprite moving across the screen. The AI first generated code in all caps, as was the style at the time of the C64, but in [Ricardo]’s development environment this caused some major problems, so the code was converted to lowercase. A more impressive conversion was done in the next steps, as the program needed to take advantage of the optimizations found in the Assembly language. With the code converted to 6502 Assembly that can run on the virtual Commodore, [Ricardo] was eventually able to show four sprites moving across the screen after several iterations with the AI, as well as change the style of the sprites to arbitrary designs.

Although the post is a bit over-optimistic on Amazon Q as a tool specifically for developers, it might have some benefits over other generative AIs especially if it’s capable at the chore of programming in Assembly language. We’d love to hear anyone with real-world experience with this and whether it is truly worth the extra cost over something like Copilot or GPT 4. For any of these generative AI models, though, it’s probably worth trying them out while they’re in their early stages. Keep in mind that there’s a lot more than programming that can be done with some of them as well.

Disposable Vape Batteries Power EBike

There are a lot of things that get landfilled that have some marginal value, but generally if there’s not a huge amount of money to be made recycling things they won’t get recycled. It might not be surprising to most that this is true of almost all plastic, a substantial portion of glass, and even a lot of paper and metals, but what might come as a shock is that plenty of rechargeable lithium batteries are included in this list as well. It’s cheaper to build lithium batteries into one-time-use items like disposable vape pens and just throw them out after one (or less than one) charge cycle, but if you have some spare time these batteries are plenty useful.

[Chris Doel] found over a hundred disposable vape pens after a local music festival and collected them all to build into a battery powerful enough for an ebike. Granted, this involves a lot of work disassembling each vape which is full of some fairly toxic compounds and which also generally tend to have some sensitive electronics, but once each pen was disassembled the real work of building a battery gets going. He starts with testing each cell and charging them to the same voltage, grouping cells with similar internal resistances. From there he assembles them into a 48V pack with a battery management system and custom 3D printed cell holders to accommodate the wide range of cell sizes. A 3D printed enclosure with charge/discharge ports, a power switch, and a status display round out the build.

With the battery bank completed he straps it to his existing ebike and hits the trails, easily traveling 20 miles with barely any pedal input. These cells are only rated for 300 charge-discharge cycles which is on par for plenty of similar 18650 cells, making this an impressive build for essentially free materials minus the costs of filament, a few parts, and the sweat equity that went into sourcing the cells. If you want to take an ebike to the next level of low-cost, we’d recommend pairing this battery with the drivetrain from the Spin Cycle.\

Thanks to [Anton] for the tip!

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The Most Inexpensive Apple Computer Possible

If Apple has a reputation for anything other than decent hardware and excellent industrial design, it’s for selling its products at extremely inflated prices. But there are some alternatives if you want the Apple experience on the cheap. Buying their hardware a few years out of date of course is one way to avoid the bulk of the depreciation, but at the extreme end is this working Mac clone that cost just $14.

This build relies on the fact that modern microcontrollers absolutely blow away the computing power available to the average consumer in the 1980s. To emulate the Macintosh 128K, this build uses nothing more powerful than a Raspberry Pi Pico. There’s a little bit more to it than that, though, since this build also replicates the feel of the screen of the era as well. Using a “hat” for the Pi Pico from [Ron’s Computer Videos] lets the Pico’s remaining system resources send the video signal from the emulated Mac out over VGA, meaning that monitors from the late 80s and on can be used with ease. There’s an option for micro SD card storage as well, allowing the retro Mac to have an incredible amount of storage compared to the original.

The emulation of the 80s-era Mac is available on a separate GitHub page for anyone wanting to take a look at that. A VGA monitor is not strictly required, but we do feel that displaying retro computer graphics on 4K OLEDs leaves a little something out of the experience of older machines like this, even if they are emulated. Although this Macintosh replica with a modern e-ink display does an excellent job of recreating the original monochrome displays of early Macs as well.

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Open-Source Robot Transforms

Besides Pokémon, there might have been no greater media franchise for a child of the 90s than the Transformers, mysterious robots fighting an intergalactic war but which can inexplicably change into various Earth-based object, like trucks and airplanes. It led to a number of toys which can also change shapes from fighting robots into various ordinary objects as well. And, perhaps in a way of life imitating art, plenty of real-life robots have features one might think were inspired by this franchise like this transforming quadruped robot.

Called the CYOBot, the robot has four articulating arms with a wheel at the end of each. The arms can be placed in a wide array of positions for different operating characteristics, allowing the robot to move in an incredibly diverse way. It’s based on a previous version called the CYOCrawler, using similar articulating arms but with no wheels. The build centers around an ESP32-S3 microcontroller, giving it plenty of compute power for things like machine learning, as well as wireless capabilities for control or access to more computing power.

Both robots are open source and modular as well, allowing a range of people to use and add on to the platform. Another perk here is that most parts are common or 3d printed, making it a fairly low barrier to entry for a platform with so many different configurations and options for expansion and development. If you prefer robots without wheels, though, we’d always recommend looking at Strandbeests for inspiration.