Essential travel info on you iPhone lock screen

Hacker News

Hey HN! I love building side projects in my free time, this is actually my third one this year. I realized that whenever I travel, I’m always switching back and forth between the Notes app for phrases and a calculator/app for prices. I always ended up with a mess of notes I couldn't find, and it was just annoying to do every time I wanted to buy something. So I built Nomad HUD for two simple reasons: to have everything I need at a glance, and to stop overpaying for things. It puts currency conversion tables and essential phrases directly on your lock screen/wallpaper, and it works 100% offline. I'd love to hear your feedback or any features you'd find useful while traveling. Gotzon

Visit product View on Hacker NewsDec 26, 2025

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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% 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: way · Missing: mobile apps, ios, personal

41%41% 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

33%33% 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

18%18% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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