Really cool thanks for sharing. What are the API costs like if i ran this for a couple hours a day for a month? Is it affordable?
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
#42Earlier quoted context omitted.
Why are you entitled to receiving constructive feedback on "your" project when you couldn't be bothered to write the project yourself in the first place? If you want "feedback" of the same quality and effort as the project itself, you can always go ask your beloved AI for feedback instead of wasting precious human time.
Would you dismiss solutions to mathematical problems solved by AI? If I’m driving an AI towards finding a solution, would it be any different for a software project?
Never mind the fact that AIs of the LLM-variety haven't and aren't going to find solutions to mathematical problems.
Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#43This looks really cool.. Let me ask a dumb question. Can this be run on a public server (I use dreamhost) with a web interface for others to see? Or is this strictly something that gets run on a local computer?
You can throw it on a server and run it for you to see (or anyone else if you trust people or dont care about losing your free API keys) It's just a standard Next.js and FastAPI stack, and there are Dockerfiles in the repo so it should be pretty straightforward to spin up on a cheap VPS (like a DigitalOcean droplet or Hetzner).
Honestly, if you just want to show it off to a few people, running it locally and exposing it with a Cloudflare Tunnel or Ngrok is probably the path of least resistance.
I WILL work on having a version to host it where users have to bring their own keys to see it in the future though
Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#44Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#45Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#46There's no data when I tried it on a windows 11 PC. It seemed to install all deps front end is served but dossier says intel unavailable. No planes etc. No helpful output in the command window. Seems fun but doesn't seem to be working.
Ah, that's my fault for not making the error handling clearer in the UI. If the map is blank, it usually means the backend is missing the .env file with the free API keys (AISSTREAM_API_KEY and N2YO_API_KEY), so it's silently failing to fetch the streams. Did the terminal throw any Python FastAPI errors, or did it just serve the Next.js frontend? I'm going to push an update later today to show a prominent "Backend Di…
Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#47Earlier quoted context omitted.
Would you dismiss solutions to mathematical problems solved by AI? If I’m driving an AI towards finding a solution, would it be any different for a software project?
Mathematical proof vs a web app that doesn't actually run? Not much of a contest. Never mind the fact that AIs of the LLM-variety haven't and aren't going to find solutions to mathematical problems.
Also how does getting into the specifics of which type of AI can solve mathematical problems helps the comparison here?
Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#48Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#49Re: Show HN: I built a real-time OSINT dashboard pulling 15 live global feeds
#50Earlier quoted context omitted.
Would you dismiss solutions to mathematical problems solved by AI? If I’m driving an AI towards finding a solution, would it be any different for a software project?
Mathematical proof vs a web app that doesn't actually run? Not much of a contest. Never mind the fact that AIs of the LLM-variety haven't and aren't going to find solutions to mathematical problems.
This is empirically wrong as of early 2026.
Since Christmas 2025, 15 Erdos problems have been moved from "open" to "solved" on erdosproblems.com, 11 of them crediting AI models. Problems #397, #728, and #729 were solved by GPT-5.2 Pro generating original arguments (not literature lookups), formalized in Lean, and verified by Terence Tao himself. Problem #1026 was solved more or less autonomously by Harmonic's Aristotle model in Lean.
At IMO 2025, three separate systems (Gemini Deep Think, an OpenAI system, and Aristotle) independently achieved gold-medal performance, solving 5 of 6 problems.
DeepSeek-Prover-V2 hits 88.9% on MiniF2F-test. Top models solve 40% of postdoc-level problems on FrontierMath, up from 2%.
Tao's own assessment as of March 2026: AI is "ready for primetime" in math and theoretical physics because it "saves more time than it wastes."
You can disagree about where this is heading, but "haven't and aren't going to" doesn't survive contact with the data.