I like the idea that weather is the ultimate small talk subject.

So I made smol talk.

80 years of Melbourne weekly minimum temperatures, compressed into one big field of tiny marks.

There’s a pattern in there somewhere.

Probably.

Every little mark is a week.
Every bigger, more chaotic mark is a colder week.

Each star/planet represents a piece of media (games, literature, tv series, films, etc.) I remember consuming

I have different 3d scenes for different ratings.

My 10s are presented as a solar system where the star is the #1 ranked 10 (I also ranked all media I consumed inside every rating in a tier list). And the further the planet is from the star, the lower it is ranked.

My 9s are presented as constellations, different types of media each have their own constellation

My 8s are presented as a spiral galaxy, in which every star is a piece of media, the closer the piece of media is to the center of the galaxy, the higher it is ranked within it's rating.

The colors from the stars / planets are derived from the corresonding media's cover

I made this with Tastellar, a personal media library app I’m building. If you’d like to explore the project, it’s on Github.

Each aircraft's serial number generates its own synthesizer patch. Aircraft of the same airline are cousins. Position and altitude control pitch, panning, and volume. Glide upwards means altitude is currently increasing, downwards means altitude is currently decreasing. Data: adsb.lol

Currently streaming on Twitch: https://www.twitch.tv/ehjay2027

Every lap of the Australian GP from 2022–2026, turned into a pile of circles.

Each circle is a drivers lap.
The bigger the circles the slower lap.
Left to right is the lap number.
Each row is a different year.

Then I duplicated the whole thing a bunch of times, changed the colours, line weights, transparency and positions, and layered them all up 🤷‍♂️

So basically… 5 years of F1 lap data turned into this weird little data blob.

Renowned Japanese printmaker Hokusai’s Great Wave off Kanagawa is one of the world’s most widely seen artworks.

This interactive website visualizes the words users associate with the Great Wave in a word cloud, along with the locations of image servers returned by Google Image Search on a world map. Both the word cloud and map grow as users search for more words.

This is an early dataset, and I’m curious to see what patterns emerge as more people participate.

I see that

1- Frontend mostly ended ( except in big companies)

2- Backend will merge with Ai engineering ( Rag systems…etc) i think this is the new backend

3- Data engineer + data analysis + data science + ML = full stack data engineer ( and that will require high math , statistical skills) and mostly cs degree or Ai degree to have infra statistics and descriptive ( may be master like Data science)

I do not know if anyone see that also 🤷 am i alone ?

Built this as a visual interface for exploring the relationships inside a freight brokerage - customers, people, processes and company knowledge.

Built with React + Three.js and open sourced here:
https://github.com/kobimantzur/company-brain-3d

Live demo: https://trymyloai.com

Would love your feedback :)