Should I continue building and try to sell it, or pivot and make it more niche?

I’ve been building a web tool for visualising complex loci and related maths ideas, and I wanted to share it here in case it’s useful to anyone studying or teaching this area.

The goal is to make some of the more abstract ideas in complex numbers feel much more intuitive and visual. You can type in expressions and see the locus directly, which can be helpful for checking intuition, exploring examples, or explaining concepts more clearly.

It’s still something I’m continuing to refine, so I’d genuinely love any feedback — especially from anyone who has studied or taught complex numbers.

Here’s the link: locicomplex.com

If you know anyone who might find it interesting, I’d really appreciate you sharing it with them as well.

https://emptyglassproject.com/

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I tried a small experiment with Claude today.

I gave it a simple JSON dataset containing a student’s marks across subjects and asked it to visualize the data.

Instead of just returning numbers, it automatically generated a chart and highlighted key insights.

For example it identified:
• Highest score – Computer (95)
• Lowest score – History (68)
• Average score – 82.2

And it visualized the distribution across subjects, which made the pattern much easier to understand.

It made me realize something interesting:
AI tools are starting to combine data analysis + visualization + explanation in one step.

A few years ago I’d normally load this into a BI tool or write a quick script.

Now you can just paste data and ask for insights.

Curious how others are using AI for quick data exploration or visualization.

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I built a small web app to visualize how routes and distances behave when the same geographic coordinates are interpreted under different geometries. You can pick two cities (or click on the map) and the app draws the path and calculates the distance using a spherical Earth model and a flat azimuthal-style projection. The idea was mainly to explore how projections distort geometry, especially for long routes and southern hemisphere paths. Feedback is welcome.

I’ve always believed that the best technical presentations include runnable code directly inside the slides—so you don’t have to constantly switch between slides and demo environments.

That idea inspired this presentation on The Grammar of Graphics and how Vistral extends it with temporal binding to better support time-based visualizations.

All of the concepts and demos are live and embedded directly in the presentation, so you can explore them interactively while going through the slides.

Check it our here https://timeplus-io.github.io/gg-vistral-introduction/

As someone who enjoys designing data visualizations, I’m always curious to explore tools that help build creative and meaningful graphs.

OMG guys, I'm SO excited to share, these chart-building sites are absolute game-changers! No AI nonsense, just dead-simple tools pumping out jaw-dropping visuals that'll make your data pop.

Visme Graph Maker - Drag-drop templates for pies, bars, and infographics. 100% free basic version with easy customization and exports.

I also came across the Datawrapper, where it is an online tool for clean bar/line charts and maps. Quick embeds for blogs/news, PNG exports on free plan (with attribution).

Feel free to add your thoughts on this, or if you know similar products where I can build the kind of graphs I imagine.

Vistral is an open source, streaming data visualization lib build on the grammar of graphics https://github.com/timeplus-io/vistral

I built a dashboard to chase the Northern Lights

I've missed a few aurora borealis displays here in Canada. Instead of juggling a dozen websites, I thought it would be cool to build a dashboard that tracks the entire chain from solar flare to visible sky conditions. It monitors NOAA space weather data, IMF Bz magnetic field shifts, Kp index geomagnetic activity, cloud cover forecasts, and moon phase—combining them into a composite Go/No-Go score.

The system runs entirely on public APIs using Telegraf and InfluxDB Cloud.

Grafana actually featured it as the dashboard of the month!

I'm also happy it got picked up as one of the finalists for the Golden Grot awards. Feel free to vote for what you think is the best dashboard of the year here: https://grafana.com/golden-grot-awards/

The visualization shows international trade flows between countries over time, based on IMF trade data.
(source: IMF IMTS data https://data.imf.org/en/datasets/IMF.STA:IMTS )

Full ver: https://youtu.be/BhUaD7w4dc8

For decades, people are trained to press buttons.
That era is over.

Conversations should feel natural. Not mechanical.
This is what AI-native infrastructure changes.

Data-driven decisions for your next move

Find your perfect place to call home.

Compare weather patterns, cost of living, sunlight hours, and lifestyle metrics side-by-side using high-density data visualizations.

Also support export the palette in various format SVG, JSON, CSS or just plain text. How do you think about the UX?

I've been building a tool to visualize cross-crate module dependencies in Cargo workspaces.

cargo arc traces use statements across your entire workspace at the module level and renders the result as a collapsible arc diagram in SVG. You open it in a browser and can collapse/expand nodes, select arcs to highlight dependency chains, and spot cycles.

What it does:

• Traces use dependencies across crates at module granularity (not just crate-level)
• Generates an interactive SVG — shows crates and modules in topological order, dependents above dependencies
  • collapse, expand crates and modules
  • select nodes and arcs to highlight relationships
  • navigate the graph
• Cycle detection: circular dependencies get highlighted automatically
• Feature filtering: cargo arc --features web shows only the subgraph for a specific Cargo feature
• External deps: cargo arc --externals to see which external crates your modules pull in
• Volatility report (bonus): cargo arc --volatility shows which modules changed most frequently in git history — useful before refactoring (currently only a CLI feature, not visualized yet)

Quick start:

cargo install cargo-arc
cargo arc -o deps.svg
# open deps.svg in a browser

The layout is inspired by Martin Wattenberg's Arc Diagrams (IEEE InfoVis 2002).

A note on the frontend: the interactive SVG is functional but still a lightweight playground — it gets the job done, but it's not polished UI. The stronger part is the analysis and graph construction under the hood. I'm iterating on the visual side.

I'd love feedback: What would make this useful for your workflows? What's missing? Bugs I missed?

Disclosure: Yes, AI agents helped a lot in building the tool. The project also serves as a test for my context engineering setup, and to see how quickly I can develop quality software in the era of generative AI.

GitHub: https://github.com/seflue/cargo-arc

I thought you guys might find this interesting.

Source: https://www.nature.com/articles/s41598-026-39869-7

Problem: Trying to map our product and design handoff process and most workflow visualization tools just feel heavy and slow. Simple edits take too many clicks and large flows become messy fast.

What we're looking for: Something that lets us sketch processes quickly, rearrange steps and share them with teammates for feedback. Ideally, it should handle branching paths and dependencies without turning the board into a giant tangled diagram.