Om

Omastorm – Live NEXRAD weather radar for Omarchy

Hacker News

Omastorm – Live NEXRAD weather radar for Omarchy

I’m a software developer and weather nerd. I wanted weather radar that felt like part of my desktop, so I built Omastorm. It lives in the Omarchy bar. Open it for a quick look at your nearest radar, or expand it into a full window to explore and play back recent scans. It uses NOAA’s NEXRAD Level II data, supports keyboard navigation, and follows your desktop theme. It’s open source and still in beta. Currently it requires Omarchy 4 and supports the NEXRAD network; international radar coverage isn’t available yet. I’m particularly interested in hearing from people who have worked with radar data, and from anyone who tries it and finds something confusing or frustrating. Happy to get into how it works.

Visit product View on Hacker NewsSep 16, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

80%80% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released

48%48% 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 · Missing: mobile apps, ios, personal

45%45% 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

34%34% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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