Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Reminders (Apple)

Reminders is a task management program developed by Apple for their iOS, macOS, watchOS, iPadOS and visionOS platforms that allows users to create lists and set notifications for themselves. The app was introduced in iOS 5 and OS X 10.8 "Mountain Lion" and was rebuilt from the ground up with the release of iOS 13.

Features & Overview

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Reminders (Apple). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Features

URLNotification CenterGeofenceMessageICloud
5 related topics

Overview

AppleIOSMacOSWatchOSIPadOS
9 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Apple
License
Proprietary
Operating system
iOS 5 or later · iPadOS · OS X Mountain Lion or later · watchOS 3 or later · visionOS or later
Release
iOS: October 12, 2011; 14 years ago (2011-10-12) · macOS: July 12, 2012; 14 years ago (2012-07-12) · watchOS: September 13, 2016; 9 years ago (2016-09-13)
Type
Task management

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Features

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Reminders (Apple)

Nodes17
Edges16
Triples12
Avg. degree1.88
Density0.117647
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Reminders (Apple)

Top relations

Operating system · 5
Reminders (Apple) → iOS 5 or later, iPadOS, OS X Mountain Lion or later, visionOS or later, watchOS 3 or later
Release · 3
Reminders (Apple) → iOS: October 12, 2011; 14 years ago (2011-10-12), macOS: July 12, 2012; 14 years ago (2012-07-12), watchOS: September 13, 2016; 9 years ago (2016-09-13)
Developer · 1
Reminders (Apple) → Apple
License · 1
Reminders (Apple) → Proprietary
Type · 1
Reminders (Apple) → Task management
Website · 1
Reminders (Apple) → www.icloud.com/reminders

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

reminders ios set ipados visionos lists watchos apple users task management app os mountain lion release macos create icloud placed

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Reminders (Apple)DeveloperApple1.00infobox
Reminders (Apple)LicenseProprietary1.00infobox
Reminders (Apple)Operating systemiOS 5 or later1.00infobox
Reminders (Apple)Operating systemiPadOS1.00infobox
Reminders (Apple)Operating systemOS X Mountain Lion or later1.00infobox
Reminders (Apple)Operating systemwatchOS 3 or later1.00infobox
Reminders (Apple)Operating systemvisionOS or later1.00infobox
Reminders (Apple)ReleaseiOS: October 12, 2011; 14 years ago (2011-10-12)1.00infobox
Reminders (Apple)ReleasemacOS: July 12, 2012; 14 years ago (2012-07-12)1.00infobox
Reminders (Apple)ReleasewatchOS: September 13, 2016; 9 years ago (2016-09-13)1.00infobox
Reminders (Apple)TypeTask management1.00infobox
Reminders (Apple)Websitewww.icloud.com/reminders1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.