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Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds

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Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds

#123

Earlier quoted context omitted.

Change the requirements.txt in the backend to the following fastapi==0.103.1 uvicorn==0.23.2 yfinance>=0.2.40 feedparser==6.0.10 legacy-cgi==2.6.1 requests==2.31.0 apscheduler==3.10.3 pydantic==2.11.0 pydantic-settings==2.8.0 playwright>=1.58.0 beautifulsoup4>=4.12.0 sgp4>=2.22 cachetools>=5.3.0 cloudscraper>=1.2.71 reverse_geocoder>=1.5.1 lxml>=5.0 python-dotenv>=1.0 and be on python 3.13 and it should get you up an…

This is fun, Playwright is a python wrapper for a node lib. So we have Next.js (full stack js/ts), with a Python backend (???), that uses a wrapper for a js/ts lib, all we need now is to shell out to node from inside that script and we have peak inception lol.

And it's not complete until it runs in an emulation layer.

Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds

#124

not knocking this specific implementation in any way, but it's crazy that live OSINT dashboards are now the demo project of choice vs. todo apps

Integrate the two and you have a global to-do dashboard fit for any wannabe world dominator.

Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds

#128

Earlier quoted context omitted.

This is fun, Playwright is a python wrapper for a node lib. So we have Next.js (full stack js/ts), with a Python backend (???), that uses a wrapper for a js/ts lib, all we need now is to shell out to node from inside that script and we have peak inception lol.

And it's not complete until it runs in an emulation layer.

lol

Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds

#130
Nice work! The real-time vehicle movement rendering challenge you mentioned reminded me of a tool I've been building — Moveet (https://github.com/ivannovazzi/moveet), an open-source fleet simulator that drives synthetic vehicles on real OSM road networks using A* pathfinding, streaming positions over WebSocket. It's aimed at developers who need realistic GPS movement data to test fleet or logistics software, and supports Kafka, Redis, and REST sinks. Your approach of batching 30k+ GeoJSON features into typed arrays is a great pattern for this kind of workload.
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