SizeAhead
Plan ahead for kids' next size
About
Predicts when children will outgrow their clothes using growth data, helping shoppers buy the right sizes. Offers features like size conversion, tag scanning, and sharing predictions with family for gift-giving.
What's New in SizeAhead
1.2
July 9, 2026
Bug fixes and improvements.
Subscriptions & In-App Purchases
$4.99
SizeAhead Plus
Unlimited child profiles plus themes and app icons.
Developer apps
FAQ
What is SizeAhead?
SizeAhead is a lifestyle app that predicts when children will outgrow their clothes using internationally recognized growth data. It helps users shop ahead for the correct sizes, avoiding impulse purchases.
How does SizeAhead predict clothing sizes?
SizeAhead uses internationally recognized growth data, referencing CDC Growth Charts and WHO Child Growth Standards. It forecasts when a child will outgrow their current size and what their next size will be.
What features are free in SizeAhead?
The free version allows predicting the next clothing size for one child, seeing when the current size will be outgrown, sharing predictions, using the Fit Finder, converting sizes, and scanning clothing tags. Full growth-standard forecasting is also free.
What is the one-time unlock purchase in SizeAhead?
The one-time unlock allows adding unlimited child profiles, switching between 5 visual themes, and customizing the app icon with 4 designer variants. The free tier is limited to one child profile.
Does SizeAhead have ads?
No, SizeAhead is ad-free. The app explicitly states 'No ads. No tracking SDKs. No data sold, ever.'
Is SizeAhead available on other platforms?
SizeAhead is currently available for iPhone and iPad, as indicated by its supported devices.
How often is SizeAhead updated?
The latest version, 1.2, was released on July 9, 2026, indicating regular updates to improve functionality and data. The initial release was on June 24, 2026.
What is the user sentiment for SizeAhead?
Based on the provided data, SizeAhead has a perfect rating of 5.0 stars from 1 rating, suggesting very positive initial user feedback.
