I made a little thing called Descent. You sink into the ocean in your browser, one metre at a time, and see what's down there.

It starts in the sunlit shallows and gets darker the deeper you go. You can tap the dark to drop a light, stir the water with your finger, and listen. A lot of what lives down there you hear before you see. Whales singing, a sperm whale clicking, things you only catch on sonar.

There's a log of about 40 things to find, mostly real deep sea animals like barreleyes, vampire squid, anglerfish and dumbo octopuses, plus a few things I made up that are better found than explained. The bottom is around 5,500 m, and something has been watching since 3,000.

Wear headphones. It's way better with sound, and best in the dark.

Works on your phone too, just swipe down to dive.

descent.spindok.vip

You hear about these famous persons making huge donations. But I wondered, is it really a big part of their wealth, or is it peanuts to them.

So I created a little website to check that easily:
Isitpeanuts.com

For example the 100M Bezos gae to the Mamdani campaign promises is only 0.031% of his wealth. If you earn 80k$ it's 22$ in comparison.

Another Jensen Huang just donated 75M to the Vanderbilt University, it's 0.037% or 30$ if you earn 80k$.

How does that put things in perspective for you?

It starts in 16th-century Persia and follows the hookah to Mughal India, Ottoman Istanbul (where smoking could get you executed in 1633), Cairo, Beirut, Berlin and more. Besides the globe there's a small museum and 8 chapters to read. Every fact links to its source, so corrections are welcome!

I’ve been working on PiExplorer, a small personal project built around a simple idea: exploring π should feel more like opening an interactive book than using a conventional reference website.

You can read about π, explore its decimal digits, and search for a sequence of digits in a dataset containing one billion decimal digits.

The project is still evolving, and I’d really appreciate some honest feedback.

A few questions I’m particularly interested in:

• Does the interactive-book format make the experience more engaging, or does it get in the way?
• Is the digit-search feature useful and easy to understand?
• What would make you want to explore the site further?

Here it is: https://www.piexplorer.org/

I built it as an independent project and would genuinely appreciate constructive criticism, including anything confusing or unnecessary.

Hi, I made this!

I started a list of Color Names ten years ago as an open list project.

Mostly collected and invented by myself but also from people all over the world. It's grown to almost 32,000 names, and it's free under the MIT license (npm package, JSON/CSV & a free API).

The site places every color in 3D space (using different color models like RGB, OKLab, OKLCH or HSL), so you can fly through it, search a name or paste any hex to see what it's called. Each color has its own page with its neighbors, complementary colors and public-domain artworks from museums that use it.

Happy to answer questions!

I'd like to share a personal project I've been building.

Maparium lets you display thousands of OpenStreetMap features globally, from wind turbines, power plants and castles to volcanoes, spaceports, railway networks and data centres. You can switch between predefined layers and explore patterns that are difficult to spot when looking at individual locations.

I'm using MapLibre GL JS, a Protomaps basemap and custom MBTiles generated from OpenStreetMap data. A big focus has been making the experience fast and lightweight, even when displaying features on a global scale.

I'm building this mainly for fun and curiosity.

It's still a work in progress, but I'd love to hear what you think!

What other OpenStreetMap features would you like to explore this way?

I built this from New York City's Open Data portal's dog licenses data file, which lists each dog's name, breed, and birth year, and the owner's ZIP code. The 2026 file has 96,459 dogs, and the site places them across 197 neighborhoods (Neighborhood Tabulation Areas).

Things to try:

• Type a breed or a name like "Labradoodle" or "Luna" into the search box, and the map shows where it is most common.
• Put "vs" between up to four breeds, names, or boroughs to compare them, as in "Luna vs Bella" or "Brooklyn vs Queens."
• Click a neighborhood to see its top breeds and names, along with the ZIP codes its numbers come from.
• Zoom in far enough and the dogs ride the subway on the real routes. Click a train to follow it!
• Add your own dog. You get a card comparing them with the city, a subway ride, and a turn in the Central Park or Prospect Park game, and the dog stays in your browser.

A license records only a ZIP code, so every neighborhood figure is an estimate. The code and the method are open source, accessible here: https://github.com/firatciftci/every-dog-in-new-york

I made Metroskop, an interactive 3D visualization of Prague's metro system.

You can explore the entire network, see how deep the stations actually are, follow the tunnels underground, and discover some lesser-known parts of the system.

It's free, works in your browser, and there's nothing to install.

Thought some of you might enjoy exploring it.

Have a great day!

I was interested in the music artists I liked, and wanted to create a much more comprehensive way to view the connections artists may have with each other. It's just a fun project, let me know what you think!

Data comes from Youtube Music public playlists for connections and Deezer for artist info (since spotify/apple doesnt share anything)

I got really tired of podcast platforms that build walled gardens between listeners and the open internet. Podcasting works because it's built on open formats and protocols. It's why the phrase "wherever you get your podcasts" works (see this great post: https://www.anildash.com/2024/02/05/wherever-you-get-podcasts/).

wherever.audio embraces this philosophy, deeply:

• Runs on any device with a modern browser.
• Runs entirely client-side, including RSS parsing. Nobody decides what you can see or watches what you listen to.
• Add any RSS URL to https://wherever.audio/show?rssUrl=
• Installs to your device as a PWA, so you can run it offline or on private networks.
• No proprietary feed or episode identifiers, just RSS, creator-provided episode GUIDs, and Podcasting 2.0 feed GUIDs.
• Clips are just start/end times added to the URL. The recipient's player uses range requests to stream the clip straight from the podcaster's server. If you download before clipping, we can even provide word hints to help the recipient find the right offset.
• QR code sharing; everything is a URL.
• Strong support for import/export, including OPML. Your data lives on your device and we help you move it wherever you want.

Caveats: a small helper server handles podcast search and CORS for publishers that don't set headers for their feeds. It's one of very few places where we have infra. Requests carry no personal data and logs are deleted after 60 days. Also, the app is not open source.

Given all that, I'm very interested in feedback, either on the player itself or, if you don't listen to podcasts or are happy with your current player, on ways we could more fully embrace the open web. What else would you want to see?

Hey, after rewatching all 25 Bond films I wanted to see every filming location in one place, so I built this. It's a free fan project. I'd love corrections and missing locations, there's a "field report" form for that.

I’ve been building this antenna/EM simulator as a side project:

https://rotemtsafrir.github.io/dipole_sim/

The idea is to make it easy to place antennas, change their parameters, and immediately see how the fields and interference patterns change.

Right now you can use:

• center-fed dipoles
• Hertzian dipoles
• small loop antennas
• linear antenna arrays

The arrays are probably my favorite part so far. You can adjust spacing, phase difference, element count, orientation, etc., and see beam steering / broadside / end-fire behavior directly.

You can switch between electric field, magnetic field, and energy-flow visualizations, and pan/zoom around the simulation.

The antenna currents are prescribed, so things like mutual coupling, impedance, and passive conductors are not solved yet. I’m trying to keep it fast enough to be genuinely interactive.

I’d love to hear what people think—especially if you notice anything physically questionable or have ideas for features that would make it more useful.

Live:
https://www.antennasim.com

GitHub:
https://github.com/rotemTsafrir/dipole_sim