Should the app record the GPS track during the hike?

Not in version one. Background location tracking is the hardest, most battery-sensitive, most permission-heavy thing you can build, and it puts you head-on against established mapping apps that have spent a decade on it. Manual entry after the fact — or importing a GPX file the mapping app already produced — gets you the log without the engineering, and the log is what people actually revisit.

How do you get the peak lists without typing them all in?

Start with one list you care about and type it, which is an evening of work for a few dozen peaks. Then let users create and share their own lists, because regional hiking challenges are extremely local and you will never enumerate them yourself. User-created lists are also the strongest reason a hiker tells another hiker about the app.

How to Build a Hiking Log App with AI (2026)

What a hiking trail log app needs

Log a hike with distance, ascent, duration, weather, and companions
Photos and a short trip note per hike
Peak and trail lists with completion progress
Yearly totals for distance and elevation gained
Works fully offline — everything entered on the trail syncs later

The screens

Screen	What it does
Hikes	Reverse-chronological log with distance, ascent, and a thumbnail
Log Hike	Trail, date, distance, ascent, duration, conditions, photos, note
Lists	Peak or trail challenges with a progress ring and remaining items
Stats	Distance and ascent by month and year, longest and highest
Settings	Units, default region, backup and export to GPX or CSV

The data model

Hike: trailId, date, distanceKm, ascentM, durationMinutes, conditions, companions, note
Trail: name, region, distanceKm, ascentM, difficulty, parkingNote
Peak: name, region, elevationM, listId, summitedHikeId
ChallengeList: name, region, peakIds, targetDate

The build prompt (copy this)

Paste this into ShipNative and it becomes a working React Native app with these screens, navigable in a live preview, in about two minutes:

“A hiking log app. The core action is logging a completed hike: trail name, date, distance, ascent, duration, conditions, who came along, photos, and a short note. Trails are saved so the same route can be logged repeatedly with different conditions, and a hike can mark one or more peaks as summited. Challenge lists group peaks or trails — a county highpoint list, a national park list, a personal 52-hike year — and each list shows a progress ring and what is left, ordered by nearest first. A Stats screen shows distance and ascent by month and year with the longest hike and biggest single ascent. Everything works offline with no signal and syncs when the phone reconnects, because the moment a hike gets logged is at the summit or in the car park. Units are switchable between metric and imperial in Settings, and the log exports to CSV. Screens: Hikes, Log Hike, Lists, Stats, Settings.”

Then iterate with small, screen-specific prompts (“make the primary button bigger”, “add an empty state”), preview on your own phone, and export the full Expo project whenever you want. The full method: how to build an app with AI.

How it makes money

A one-time unlock of roughly $5–10 for unlimited photos, custom challenge lists, and export — hikers are notably resistant to subscriptions for something that does not run a service on their behalf. Keep unlimited hike logging free forever; charging for the log itself makes the app feel like a hostage situation and kills reviews.

Implementation and the revenue math for every model: how to make money from an app. When you’re ready to ship: App Store and Google Play publishing guides.

Build it now

The prompt above is free to run at shipnative.dev — working hiking trail log app on your phone today, full code export, no credit card.

How to Build a Hiking Log App with AI