Do you find an odd comfort in the uncanny, regular intonations of a Numbers Station? Then check out [edent]’s numbers station project, which leverages the browser’s speech synthesis engine to deliver a ceaseless flow of (mostly) numbers, calmly-intoned in various languages.
The project is an entry for the annual JavaScript Golfing Competition, in which participants aim to create a cool program in 1024 bytes or less. It cleverly relies on the Web Speech API to deliver the speaking parts, which helps keep the code size tiny. The only thing it’s missing is an occasional shadow of static drifting across the audio.
If you’re new to numbers stations, our own [Al Williams] is here to tell you all about them. But there’s no need to tune into an actual mysterious radio signal just to experience weird numbers; just fire up [edent]’s project, put on some headphones, and relax if you can.
Separating a design into elements thin enough to engrave individually without losing focus is the key.
The basic idea is to split the design into a number of separate engraving jobs, each containing one element of the overall design, then setting the mug into a 3D printed jig and manually rotating it between jobs. To demonstrate, [Samcraft] selects a series of line-art flowers and plants which are ideal for this approach because there’s no need to minutely register the individual engravings with one another.
What about focus? [Samcraft] found that a design up to 45 mm wide could be engraved onto the curved surface of his mug before focus suffers too much. It’s true that this technique only works with certain types of designs — specifically those with individual elements that can be separated into tall and thin segments — but the results are pretty nice.
Laser engravers are a very serious potential eye hazard, and we are not delighted to see the way the shield around [Samcraft]’s engraver cannot close completely to accommodate the mug while the laser is active. But we’re going to assume [Samcraft] has appropriate precautions and eye protection in place off-camera, because laser radiation and eyeballs absolutely do not belong together, even indirectly.
Zines (self-produced, small-circulation publications) are extremely DIY, and therefore punk- and hacker-adjacent by nature. While they can be made with nothing more than a home printer or photocopier, some might benefit from professional production while losing none of their core appeal. However, the professional print world has a few gotchas, and in true hacker spirit [Mabel Wynne] shares things she learned the hard way when printing her solo art zine.
As with assembling hardware kits, assembling a zine can take up a lot of physical table space.
[Mabel] says the most useful detail to nail down before even speaking to printers is the zine’s binding, because binding type can impact layout and design of an entire document. Her advice? Nail it down early, whether it’s a simple saddlestitch (staples through a v-shaped fold of sheets), spiral binding (which allows a document to lay flat), or something else.
Aside from paper and print method (which may be more or less important depending on the zine’s content) the other thing that’s important to consider is the finishing. Finishing consists of things like cutting, folding, and binding of the raw printed sheets. A printer will help arrange these, but it’s possible to do some or even all of these steps for oneself, which is not only more hands-on but reduces costs.
Do test runs, and prototype the end result in order to force unknown problems to the surface before they become design issues. Really, the fundamentals have a lot in common with designing and building kits or hardware. Check out [Mabel]’s article for the full details; she even talks a little about managing money and getting a zine onto shelves.
Zine making is the DIYer’s way to give ideas physical form and put them into peoples’ hands more or less directly, and there’s something wonderfully and inherently subversive about that concept. 2600 has its roots in print, but oddball disk magazines prove one doesn’t need paper to make a zine.
Reachy Mini is a kit for a compact, open-source robot designed explicitly for AI experimentation and human interaction. The kit is available from Hugging Face, which is itself a repository and hosting service for machine learning models. Reachy seems to be one of their efforts at branching out from pure software.
Our guess is that some form of Stewart Platform handles the head movement.
Reachy Mini is intended as a development platform, allowing people to make and share models for different behaviors, hence the Hugging Face integration to make that easier. On the inside of the full version is a Raspberry Pi, and we suspect some form of Stewart Platform is responsible for the movement of the head. There’s also a cheaper (299 USD) “lite” version intended for tethered use, and a planned simulator to allow development and testing without access to a physical Reachy at all.
Reachy has a distinctive head and face, so if you’re thinking it looks familiar that’s probably because we first covered Reachy the humanoid robot as a project from Pollen Robotics (Hugging Face acquired Pollen Robotics in April 2025.)
The idea behind the smaller Reachy Mini seems to be to provide a platform to experiment with expressive human communication via cameras and audio, rather than to be the kind of robot that moves around and manipulates objects.
Quality 3D printing is a common hobbyist tool nowadays, and [wontonnn]’s mini arcade car racing game really shows off how 3D printing can bring parts from functional to fantastic. There are quite a few details we like in [wontonn]’s design, so let’s take a closer look.
The mini mechanical game is one of those treadmill-based car racing games in which the player navigates a little car between an onslaught of belt-borne obstacles. A little DC motor spins things up in a modular side assembly, and a hand-cranked option is available. The player’s car attaches via a magnet to a steering arm; if the player’s car gets knocked off the magnet, game over.
Treadmill belt segments print as large pre-assembled pieces, with ends that snap together without connectors. Belts like this are sometimes tricky, so this is worth keeping in mind should one ever need a similar part. Since there are no external fasteners or hardware to depend on, one could resize it easily to suit their own project purposes.
The finishing touches on the whole assembly look great. It used to be that the sort of colors and lettering seen here would come from a sticker or label, but [wontonn] gets clean lines and colors by raising (or sinking) different parts of the design. The checkerboard pattern, for example, has the light squares raised for printing in a different color.
[Jared] managed to find a professional FAA-certified flight simulator at an auction (a disassembled, partial one anyway) and wondered, what would it take to rebuild it into the coolest flight sim rig ever?
In a video, [Jared] gives a tour of the system and highlights the potential as well as pointing out challenges and drawbacks. Fortunately the system is of a modular design overall, and the motion control system is documented. The chassis and physical parts are great, but the avionics stack is a mixed bag with some missing parts and evidence of previous tinkering — that part being not quite so well documented.
Conceptually, a mid-tier gaming rig with a wraparound display will take care of the flight software part, and some custom electronics work (and probably a Raspberry Pi or three) will do for interfacing to various hardware elements. But a lot of details will need to be worked out in order to turn the pile of components into an entertaining flight sim rig, so [Jared] invites anyone who is interested to join him in collaborating on innovative approaches to the myriad little challenges this build presents.
Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam Rose] has a beautifully-illustrated, interactive guide to how reservoir sampling works. As far as methods go, it’s as elegant as it is simple, and particularly suited to fairly sampling dynamic datasets like sipping from a firehose of log events.
While reservoir sampling is simple in principle it’s not entirely intuitive to everyone. That’s what makes [Sam]’s interactive essay so helpful; he first articulates the problem before presenting the solution in a way that makes it almost self-evident.
[Sam] uses an imaginary deck of cards to illustrate the problem. If one is being dealt cards one at a time from a deck of unknown size (there could be ten cards, or a million), how can one choose a single card in a way that gives each an equal chance of having been selected? Without collecting them all first?
In a nutshell, the solution is to make a decision every time a new card arrives: hold onto the current card, or replace it with the new one. Each new card is given a 1/n chance of becoming held, where n is the number of cards we’ve seen so far. That’s all it takes. No matter when the dealer stops dealing, each card that has been seen will have had an equal chance of ending up the one selected.
There are a few variations which [Sam] also covers, and practical ways of applying it to log collection, so check it out for yourself.
If [Sam]’s knack for illustrating concepts in an interactive way is your jam, we have one more to point out. Our own Al Williams wrote a piece on Turing machines; the original “universal machine” being a theoretical device with a read/write head and infinite paper tape. A wonderful companion to that article is [Sam]’s piece illustrating exactly how such a Turing machines would work in an interactive way.
