Health, home and travel decision
Flighty Pro
A competent developer can build a basic flight tracker and alerts system in ~one week, but replicating Flighty’s polished native apps, large-scale coverage, and production ML quality would require much more effort and data.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.
What a replacement has to do
- Collect live flight status and positions, match inbound aircraft to scheduled flights, run a simple delay-prediction model, send push/email alerts to subscribers, display flight status on a lightweight web/mobile UI.
What it still won’t have
- Polished native iOS/watchOS UI and Apple-grade UX
- Proprietary delay-prediction model quality and tuned heuristics
- Coverage/scale and curated airport 'Airports' product
- Brand recognition and platform integrations Flighty ships
What remains hard
- Brand trust
Apple Design Award Winner 2023
- Execution quality
The world’s most powerful flight tracker.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 11 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal flight-tracking backend and web client using Node.js (Express), Postgres, and React. Scope: ingest live aircraft positions and flight status from an aviation data API, normalize and store flights and inbound-aircraft matches, implement a simple delay-prediction service (logistic regression or rules combining inbound-lateness and ATC advisories), REST endpoints to subscribe/unsubscribe and fetch flight timelines, push/email notification integration (Firebase Cloud Messaging and SendGrid), and a responsive React UI to view a flight timeline and manage notifications. Out of scope: native iOS/watchOS apps, large-scale multi‑region deployment, and a commercial-grade ML training pipeline. Include error handling, input validation, unit tests for core matching/prediction logic, and deployment scripts for a single-host setup (Docker + a managed Postgres).
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score67
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productFlighty — Live Flight Tracker
- official pricingFlighty Pricing
- open sourcejohanohly/AirTrail
Integrity checks
What held up, and what did not.
