Li

Live network map display with engraved backlighed panels

Hacker News

Live network map display with engraved backlighed panels

I built a network map display from scratch that shows the current network data rates between our datacenters. I designed and made a PCB for the LED matrices, created engraved backlight panels, assembled everything locally into a wooden box, and finally connected it to our monitoring system to send and receive live data for display. It has now been sitting in our office for over a year. While it's mostly a fun gimmick, it can actually be useful for quickly identifying which link goes down when there's an issue ;) Photos are a bit hard to do correctly, but I've shared most of the details here: https://hackaday.io/project/197354-live-network-map Have a nice day!

Visit product View on Hacker NewsMay 31, 2025

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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