Flyover Country – guide to the window seat with AR

Hacker News

Just released a ground-up rebuild of our long abandoned app Flyover Country. Its whole thing is to tell you fun things about what you're flying over. I'm particularly excited about the new augmented reality mode that overlays maps and points of interest on your camera view as you point your phone out the window. The 3d window view mode is also pretty neat! It's free and works offline, just load your flight up beforehand. This is a tough app to test for obvious reasons so any feedback from folks trying it out in the sky is suuuuper valuable. Please email me at shane@flyovercountry.app with any notes!

Visit product View on Hacker NewsSep 19, 2026

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3points

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

65%65% 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

31%31% 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

27%27% 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

16%16% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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