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GemBook - Trusted Referrals

Style de vie

Gratuit

GemBook - Trusted Referrals

par Red Kangaroo Media LLC

v1.16 34 Mo Universel 4+

Description

The best recommendations come from people you trust.
But too often they disappear into text threads, screenshots, and notes.

GemBook is your personal book of trusted referrals.
Save the dermatologist, sports coach, contractor, hair stylist, and more — trusted recommendations from friends and family, organized in one place.

No more searching through old messages. Your best recommendations are always easy to find — and easy to share again when someone asks.

Over time, GemBook becomes your curated collection of the services and experiences worth remembering.

Simple. Personal. Trusted.

Save recommendations in seconds
When someone shares a great suggestion, add it to your GemBook and capture the details that matter — including who recommended it.

Keep everything beautifully organized
Browse your referrals by category and revisit or share them whenever you need them.

Always remember who recommended it
Every entry in GemBook is tied to the person who shared it — because the best recommendations come from people you trust.

GemBook requires an annual subscription. Subscriptions are purchased in-app and are renewed automatically unless canceled at least 24 hours before the end of the current period. Manage your subscriptions through your Apple account. There is a free trial period after which your subscription will automatically start. You will not be charged during the free trial period and you may cancel any time. Purchasing a subscription while your free trial is active will activate your membership immediately and cause your trial period to end.

View our standard terms of services here: https://www.apple.com/legal/internet-services/itunes/dev/stdeula

GemBook
Your trusted referrals, saved forever.

Nouveautés (v1.16)

New screenshots
Add a custom category and sub-category
See contact information card when sharing with gems with friends
Bug fixes
Updated screenshot extraction reliability