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Wayther – Weather forecast for road trips on iOS

Hacker News

Wayther – Weather forecast for road trips on iOS

Hey all, I'm Axel, and I just launched a new iOS app called Wayther. It's a weather forecast app specifically for your road trips, giving you accurate weather forecasts along your route up to 10 days in advance, anywhere in the world. You can pick different routes and adjust your departure or arrival times to find the perfect window for a safe and enjoyable trip. Download the app on the App Store here: https://apps.apple.com/app/id6449394257 I’d love to hear your thoughts. If you try Wayther and like it, please consider rating it on the App Store—it helps a lot! -- The backstory: A while back, I had to drive a few hundred miles and wanted to dodge bad weather (like rain, high winds, poor visibility, extreme temperatures, blinding sun, night drive). I was tired of juggling Apple Maps and Apple Weather, typing in location after location to check the conditions at different points along the route. I thought, "Wouldn’t it be great if there was an app for this?" So, I built one! Wayther isn’t just for car trips; it’s great for motorcycles, RVs, trucks, buses, and bikes too. It can help you avoid high winds, bad weather, plan the best times to hit the road and reduce your travel costs too! How it works: 1. Enter your starting point and destination. 2. Pick a route from up to three options. 3. Choose your departure or arrival date to fit your schedule and preferences. Wayther gives you detailed weather forecasts at various points along your route, showing info in an interactive map, trip overview, and detailed timeline. It’s perfect for spotting bad weather spots, understanding how weather will change during your trip, and getting details on precipitation, wind, visibility, temperature, and official alerts. Technical details: The app is completely native, built entirely with SwiftUI. It uses Core Location for trip starting points or destinations. The app also leverages MapKit for route overlays and annotations. It fetches weather forecasts with Apple WeatherKit. Finally, it includes custom and Swift Charts for data visualisation in the trip overview. Pricing: Your first three trips are completely free - no trial needed. After that, Wayther is subscription based with an annual, monthly or weekly plans. What's next: This is the first version. I have tons of features planned, like adding stops, route history, favorites, live updates while driving, CarPlay integration, GPX imports, travel speed adjustment for slower vehicles, radar weather maps, better OS integration (widgets, Live Activity, Siri Shortcuts, etc.), iPadOS optimised app, etc. Plus, I'll be exploring new tech in iOS 18. But I wanted to get it in people's hands and see what people like, what they want, and how it's used. :)

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
96%96% 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: apple, apps, new · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, apps, month · Missing: mobile apps, personal, entrepreneurs
50%50% predicted probability of success on TrustMRR, 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
29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, subscription, active · Missing: mrr, revenue, profit
19%19% 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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