Weekend projectJuly 2026 · 6 min read

How to Build a Job Application Tracker App with AI

A job hunt is a sales pipeline with worse feedback, and the spreadsheet everyone starts with fails at exactly the moment it matters: the follow-up you meant to send on Thursday. The data model is small and the value is a single well-timed notification, which makes this one of the cleanest first apps to build.

What a job application tracker app needs

  • Applications moving through stages: saved, applied, screen, interview, offer, rejected
  • Follow-up reminders with a nudge when an application goes quiet
  • Contacts and notes per company
  • Interview prep notes and question bank per role
  • Weekly stats: applications sent, response rate, time in stage

The screens

ScreenWhat it does
PipelineApplications grouped by stage with counts and stale-item flags
Application DetailRole, link, salary, stage history, notes, next action date
Add ApplicationCompany, role, source, link, applied date
Follow-upsEverything due today or overdue, in one list
StatsResponse rate and stage funnel over the last 30 days

The data model

  • Application: company, role, url, salaryRange, stage, appliedAt, nextActionAt
  • StageEvent: applicationId, fromStage, toStage, changedAt
  • Contact: applicationId, name, role, email, linkedinUrl
  • Note: applicationId, body, createdAt, kind (prep | debrief | general)

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 job application tracker. Users add roles they have applied to and move them through stages: saved, applied, phone screen, interview, offer, rejected. Each application stores the company, role, job link, salary range, and dated notes, and can hold contacts. Anything with no activity for 10 days is flagged as stale and appears on a Follow-ups screen with a reminder notification. Screens: Pipeline grouped by stage, Application Detail with stage history and notes, Add Application, Follow-ups, and Stats showing response rate and a stage funnel for the last 30 days. Works offline.

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

Hard to charge for directly — users churn by design the moment they get hired, and they are often between paychecks. A one-time unlock ($5–10) for unlimited applications and export fits the lifecycle far better than a subscription. Treat it as a portfolio piece or a lead-in to paid coaching rather than a recurring-revenue business.

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 job application tracker app on your phone today, full code export, no credit card.

Frequently Asked Questions

Can it import jobs automatically from LinkedIn or Indeed?

Not reliably, and not without breaking their terms of service. Scraping job boards gets blocked and can get accounts banned. The realistic version is a share-sheet action: the user shares a job URL into your app and you save the link and title, letting them fill in the rest in about ten seconds.

Do people actually use a tracker instead of a spreadsheet?

Only if it does something a spreadsheet cannot, and here that is one thing: reminders on the phone in their pocket. If your app is only a nicer table, users go back to Google Sheets. Build the follow-up nudge first and the pretty pipeline second.

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