Fastest-growing App Store listing
No qualifying listing is available yet.
Peekly Data Report
The travel app listings with the strongest seven-day acceleration in review velocity. Use this live ranking to spot momentum, then inspect revenue and download context.
According to Peekly's August 15, 2026 dataset, Ubigi: Travel esim mobile data has the strongest seven-day review-velocity acceleration among the apps that meet the report's minimum data threshold.
Store revenue and iOS downloads are estimates. Values are not audited financial results.
Compare the iOS and Android listings with the strongest review-velocity acceleration in the current ranking. These are early momentum signals, not claims about audited company or revenue growth.
Fastest-growing App Store listing
No qualifying listing is available yet.
Fastest-growing Google Play listing
Peekly compares review velocity across two halves of a seven-day window. An app qualifies only after gaining enough reviews to reduce noise. The percentage measures acceleration in review acquisition, which is a momentum signal, not a claim about company revenue growth.
Full methodology and limitationsA ranking is a starting point, not an app idea by itself. Analyze the apps behind it to compare downloads, ratings, store position, pricing, ads, paywalls and similar products before deciding what to build.
In Peekly's current qualifying dataset, Ubigi: Travel esim mobile data ranks first among travel app listings by seven-day review-velocity acceleration.
Peekly compares the pace of new reviews in the first and second halves of a seven-day window. Apps must meet a minimum review-activity threshold to reduce small-sample noise.
No. Review acceleration is an observable momentum signal. It can reveal rising attention, but it is not audited download, revenue or company growth.
Peekly refreshes its underlying store and review data daily. Qualifying apps can enter, leave or change position as their review velocity changes.
Compare revenue, downloads, momentum, publishers and categories across the same Peekly dataset.