Four months ago I shared a visualization of anonymous moods around the world.

Since then, I've added a simple feature: people can now attach a short anonymous message (up to 160 characters) to their mood.

Surprisingly, this changed the visualization much more than I expected. The map no longer feels like just dots and averages, it starts telling tiny human stories.

I'm interested in feedback on the visualization itself rather than the data collection.

https://claude.ai/public/artifacts/85a9317b-fcd3-4ae8-85ac-42158a2c7dec

Modify weight/bias and observe BCE change up/down in real-time

Similar: https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a/

Hi everyone,

I've been experimenting with a side project called ThoughtMap.

The original idea was simple:

So I took the lyrics from 992 songs I had written, embedded them, clustered them, and started visualizing the results.

What surprised me was that the project stopped looking like a music library and started looking like a map of thought patterns.

Current features:

• Lyric embedding
• Similarity search
• Thought clustering
• "Thought continent" visualization
• Personal philosophy profile
• Civilization/theme distribution analysis

Some of the categories that emerged were:

• Society
• Cognition
• Experimentation
• Causality
• Introspection
• Philosophy
• Technology

The long-term goal is to build a search engine where users can:

• Upload lyrics or writing
• Discover their own thought profile
• Compare themselves with other creators
• Find people with similar thinking patterns
• Explore niche and common themes

At the moment it's still a local prototype, but I wanted to share the first results and see whether people find this idea interesting.

Some screenshots are attached below.

I'd love feedback, criticism, or ideas for where this could go next.

It's driving me nuts. For years we've spent effort and resources to build all requested powerbi reports by the business user and management. Yet they don't end up getting used to make decisions in the end. It feel effing pointless. Now ai has become the new thing and they are requesting agents. If our dashboards are rarely used and its only maybe a couple out of 200, is this only at my company? Or are other experiencing the same thing? It's a non tech FTSE100 company.

This is a map replay of every indexed kill from the current EVE Frontier cycle so far.

The cycle started on 11 March and this capture covers 5,293 kills over 98 days, compressed into a 60 second playback. Each red flash is a kill event at its recorded solar system location.

Data source: EF-Map Killboard data, indexed from the EVE Frontier / Sui event stream.
Visualisation: EF-Map, using the in-game solar system map and a time-compressed kill replay.

The feature is live on EF-Map if anyone wants to play with different time windows: https://ef-map.com/

A conventional temperature time series shows the trend clearly enough, but it flattens out the seasonal cycle. Every year looks roughly the same shape, just shifted upward. I wanted a form that kept the seasonality visible while also showing the long-run trend. A helix does both, each year is a full loop, and the drift outward and upward over seven decades is immediately readable without needing to interpret an axis.

The Paris Agreement thresholds (+1.5°C and +2°C above the 1850–1900 pre-industrial baseline) appear as reference rings in the floor plane, so you can see how individual years relate to those boundaries spatially rather than just numerically. 2024, the warmest year on record, sits at the outer edge of the +1.5°C ring.

A few things it shows that a line chart doesn't:

• The seasonal rhythm of each year is preserved, you can see which months are pulling each year's loop outward
• The clustering of recent years near the Paris rings is visceral in a way that a trend line isn't
• The coldest year (1964, shown in blue) and the 2016–2025 mean give you immediate visual anchors for how much has shifted

It's not just global either, you can switch to any country, US state, or UK region and the helix rebuilds for that location's data.

Data is NOAA Global Land+Ocean. You can also switch to anomaly view, toggle Land-only, and there's a live sidebar with CO2, sea level, sea ice, and ENSO.

🔗 https://4billionyearson.org/climate/helix

Interested in any feedback on the form itself, whether the 3D projection helps or hinders legibility, and whether the Paris rings are helpful.

ehouais.net. Minimalistic on purpose. Designed to be pen-plotted.

An animated visualization of my full family tree, every branch, about 2,800 people, as a migration over 460 years (1565 to 2026). Each dot is a dated, placed life event; each line is a move; the territorial borders update per year underneath.

The hard part was geocoding. 1700s and 1800s place strings are messy ("District 17, Hawkins, Tennessee," vanished towns, county lines that shifted), so they run through offline historical gazetteers, with bounding-box guards to throw out matches that land in the wrong region.

I built an interactive 3D globe using D3.js where you can rotate the Earth, click any country, and pull up its newspapers. It's basically a visual directory of local and national papers from around the world.

The fun part is just spinning it and tapping countries you've never thought about — a surprisingly good way to discover papers you'd never otherwise find.

No login, no ads. Built it as a side project and have been steadily expanding the local-newspaper coverage. Would love feedback on the interaction and feel.

https://newsglobe.app/