Visualize your computer's network connections on a 3D globe

Hacker News

Hey all, two days ago I had the idea for a tool that visualizes all the internet connections my computer made. Now its real! Its a simple open source program written in Rust that listens for outbound connections your computer makes, runs traceroutes on each destination, geolocates each hop and renders in on a 3d globe. The tool (network cartographer) works on linux, mac and windows. Feel free to try it out. I tried making it as frictionless as possible. Beaware this is mostly a for-fun and educational tool. It will naturally be inaccurate as it doesnt show the routes the actual packets take, just the way that traceroute did. Its also limited how much data i could find for the geolocalization.

Visit product View on Hacker NewsJul 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, computer, visual · Missing: agents, macos, agent

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: visualize, way, education · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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