[OC]Been building a maritime + airspace analysis tool. A few Redditors tested it, I rebuilt a lot, and I want to know if it is actually useful in your workflow Analysis

What This Visualization Shows

This data visualization displays "[OC]Been building a maritime + airspace analysis tool. A few Redditors tested it, I rebuilt a lot, and I want to know if it is actually useful in your workflow" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on So this is not really a “look at my project” post. It is me putting the current version in front of people who might actually use something like this and asking a simple question: does it help your workflow, or is it just interesting to poke around?

It is called Phantom Tide. The aim is to make it easier to inspect aircraft activity, vessel movement, warnings, weather, and map context together instead of bouncing between separate tools and trying to stitch it all together manually.

A lot of the recent work has been on the engineering side rather than just adding more things to click: better history views, calmer refresh behaviour, more honest source state, render and performance fixes, backend hardening, and generally trying to make it feel more like a usable working surface than a pile of layers.

There is a public link in the repo, and here is an evaluation key if you want to test it properly:

Tier: Eval key Expires: 2026-04-12T09:25:42.967839Z Key: `pt_live_02653df6b243.HLNGdjNZhogQgDpSkxocOxZai0QJe6w7`

Repo: [https://github.com/tg12/phantomtide](https://github.com/tg12/phantomtide)

What I care about most is blunt feedback from people who would genuinely use something like this:

* does it help you get to an answer faster * what feels useful versus decorative * what feels confusing, noisy, or overbuilt

Where I want to take it next is beyond passive tracking and more toward workflow-driven alerting: aircraft entering restricted airspace, repeat boundary loitering, AIS gaps or spoof-like behaviour around critical infrastructure, thermal hits with no obvious traffic explanation, and cross-domain signals that only become interesting when multiple weak indicators start agreeing.

After that comes the user layer: logins, saved watchlists, persistent analyst state, sharable links, and collaborative handoff, so it stops being just a live map and becomes something you can actually work from over time., which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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