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LinkedIn Hakawai

Apps using LinkedIn Hakawai

Download a list of all 995 LinkedIn Hakawai customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
25K LinkedIn Corporation - - http://lnkd.in/recruitermobile
3K PLOTAGRAPH, Inc. *****@plotaverse.com - https://www.plotaverseapps.com/
2K monday.com Ltd. *****@monday.com
linkedin facebook twitter instagram
http://www.monday.com/
1K We-Vibe - - https://www.we-vibe.com/de/contact
1K LinkedIn Corporation - - http://lnkd.in/recruitermobile
830 TOTVS *****@totvs.com.br
linkedin twitter instagram
http://www.totvs.com/
799 HEALISTIC GROUP LTD *****@healistic.net
linkedin facebook instagram
https://www.healistic.net/
790 VER SE INNOVATION PRIVATE LIMITED *****@myJosh.in
facebook twitter instagram
http://myjosh.in/
752 CYGNVS INC - - https://support.cygnvs.com/hc/en-us
720 b-like -
linkedin instagram
https://www.b-like.app/

Full list contains 995 apps using LinkedIn Hakawai in the U.S, of which 894 are currently active and 210 have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is LinkedIn Hakawai?

LinkedIn Hakawai is a powerful and versatile open-source text input library developed by LinkedIn for iOS applications. This innovative SDK (Software Development Kit) is designed to enhance the user experience when entering text on mobile devices, particularly within social media and professional networking contexts. Hakawai, which means "storyteller" in Maori, lives up to its name by providing developers with a suite of tools to create rich, interactive text input experiences. One of the key features of LinkedIn Hakawai is its ability to handle complex text input scenarios, including mentions, hashtags, and rich media insertions. This functionality is particularly valuable for social networking apps, professional communication platforms, and collaborative tools where user engagement and content creation are essential. The SDK offers seamless integration with existing iOS projects, making it easy for developers to implement advanced text input capabilities without extensive custom coding. LinkedIn Hakawai boasts a modular architecture that allows developers to pick and choose the specific components they need for their applications. This flexibility ensures that apps remain lightweight while still benefiting from powerful text input features. The SDK includes customizable autocomplete suggestions, which can be tailored to specific use cases such as user mentions, hashtag recommendations, or even custom entity types relevant to the app's domain. Another noteworthy aspect of LinkedIn Hakawai is its focus on performance optimization. The library is designed to handle large datasets efficiently, ensuring smooth scrolling and responsive user interactions even when dealing with extensive lists of suggestions or complex text manipulations. This attention to performance makes LinkedIn Hakawai an excellent choice for apps that cater to a large user base or handle significant amounts of user-generated content. The SDK also provides robust support for text formatting and styling, allowing developers to implement features like bold, italic, and underlined text, as well as custom inline formatting options. This capability is particularly useful for note-taking apps, document editors, and professional communication tools where rich text formatting is essential. LinkedIn Hakawai's commitment to accessibility is evident in its design, which includes support for VoiceOver and other assistive technologies. This ensures that apps built with Hakawai can cater to a wide range of users, including those with visual impairments or other disabilities. The SDK's documentation includes best practices for implementing accessible text input features, making it easier for developers to create inclusive applications. For developers concerned with data privacy and security, LinkedIn Hakawai offers built-in safeguards to protect user input. The SDK includes features like input sanitization and validation, helping to prevent common security vulnerabilities associated with user-generated content. Additionally, the open-source nature of the project allows for community-driven security audits and improvements, further enhancing its reliability.

LinkedIn Hakawai Key Features

  • LinkedIn Hakawai is an open-source iOS text view component developed by LinkedIn, designed to enhance the functionality and user experience of text input in iOS applications.
  • The SDK provides a rich text editing experience with features like mentions, hashtags, and custom input accessories, making it ideal for social media and messaging applications.
  • Hakawai offers seamless integration with existing iOS projects, allowing developers to easily incorporate advanced text input functionality into their apps without extensive custom development.
  • The component supports customizable autocomplete suggestions, enabling users to quickly input mentions, hashtags, or other predefined text elements with minimal effort.
  • Hakawai includes built-in support for handling text attachments, such as images or other media, within the text view, providing a more versatile input experience.
  • The SDK offers robust text manipulation capabilities, including the ability to insert, delete, and replace text programmatically, giving developers fine-grained control over the text content.
  • Hakawai provides a flexible plugin architecture that allows developers to extend its functionality and add custom features tailored to their specific application requirements.
  • The component includes built-in support for undo and redo operations, enhancing the user experience by allowing easy correction of input mistakes.
  • Hakawai offers optimized performance for handling large amounts of text, ensuring smooth scrolling and editing even with extensive content.
  • The SDK includes comprehensive documentation and sample code, making it easy for developers to integrate and customize the component for their specific needs.
  • Hakawai supports dynamic text styling, allowing developers to apply different fonts, colors, and formatting options to specific portions of the text input.
  • The component provides built-in accessibility features, ensuring that the enhanced text input functionality is usable by individuals with disabilities.
  • Hakawai offers support for multiple languages and localization, making it suitable for applications with a global user base.
  • The SDK includes built-in text validation and error handling capabilities, helping developers implement robust input validation and improve overall app stability.
  • Hakawai provides seamless integration with iOS keyboard extensions, allowing users to take advantage of custom keyboards and input methods.
  • The component offers support for rich text formatting, including bold, italic, underline, and other common text styling options, enhancing the visual appeal of user-generated content.
  • Hakawai includes built-in support for text selection and manipulation gestures, providing users with intuitive ways to interact with and edit text content.
  • The SDK offers customizable input accessories, such as toolbars and suggestion views, allowing developers to create tailored input experiences for their applications.
  • Hakawai provides efficient memory management and optimized resource utilization, ensuring that the enhanced text input functionality does not negatively impact app performance.
  • The component includes built-in support for handling copy and paste operations, including the ability to preserve formatting and attachments when transferring text between applications.

LinkedIn Hakawai Use Cases

  • LinkedIn Hakawai is a powerful SDK that enables developers to integrate advanced text input functionality into their iOS applications, enhancing the user experience for content creation and editing. One key use case for Hakawai is in social media apps, where users can benefit from its rich text formatting capabilities to create more engaging posts and comments. The SDK's autocomplete feature can be leveraged to suggest hashtags, mentions, or trending topics, making it easier for users to participate in conversations and increase their content's visibility.
  • Another important use case for LinkedIn Hakawai is in professional networking and job search applications. The SDK's mention functionality can be utilized to easily tag colleagues, companies, or skills within messages or profile updates. This feature can streamline the process of building connections and showcasing expertise in specific industries. Additionally, Hakawai's text tokenization capabilities can be employed to analyze user-generated content, helping to match job seekers with relevant opportunities based on their skills and experience mentioned in their profiles or posts.
  • In productivity and note-taking apps, LinkedIn Hakawai can significantly enhance the writing and editing experience. The SDK's support for custom text attributes allows developers to implement features like highlighting, color-coding, and inline comments, making it easier for users to organize their thoughts and collaborate with others. The mention system can be adapted to create a robust internal linking system within notes, enabling users to quickly navigate between related pieces of information. Furthermore, Hakawai's undo/redo functionality ensures that users can confidently make changes to their documents without fear of losing important content.
  • For educational applications, LinkedIn Hakawai can be used to create interactive learning experiences. The SDK's text manipulation capabilities can be employed to develop in-app coding editors with syntax highlighting and autocompletion for various programming languages. This feature can help students practice coding directly within the app, with real-time feedback and suggestions. Additionally, Hakawai's mention system can be adapted to create interactive quizzes or flashcards, where users can tag specific concepts or terms for review.
  • In the realm of customer support and feedback management, LinkedIn Hakawai can be utilized to improve the efficiency of communication between users and support teams. The SDK's autocomplete functionality can be customized to suggest common issues or frequently asked questions, helping users articulate their concerns more effectively. The mention system can be adapted to tag specific products, features, or support categories, enabling faster routing of inquiries to the appropriate team members. Furthermore, Hakawai's rich text formatting capabilities can be used to create more visually appealing and informative responses, enhancing the overall support experience.
  • For project management and team collaboration tools, LinkedIn Hakawai can be leveraged to streamline communication and task management. The SDK's mention system can be used to tag team members, projects, or deadlines within task descriptions or comments, ensuring that relevant information is easily accessible and notifications are sent to the appropriate individuals. Hakawai's text tokenization capabilities can be employed to automatically detect and create links to related tasks or documents, facilitating better organization and cross-referencing of project information. Additionally, the rich text formatting features can be utilized to create more visually appealing and structured project updates or reports.

Alternatives to LinkedIn Hakawai

  • TextFieldEffects: This Swift library offers a collection of ready-to-use, customizable text field effects that can enhance the user interface of iOS applications. It provides various animated and stylish text input designs, making it an excellent alternative for developers looking to create visually appealing and interactive text fields. TextFieldEffects includes features like floating labels, border animations, and custom input styles, which can be easily integrated into existing projects.
  • Eureka: A powerful form builder library for iOS written in Swift, Eureka simplifies the process of creating complex forms and input fields. It offers a wide range of customizable row types, including text fields, date pickers, and sliders, making it a versatile alternative to LinkedIn Hakawai. Eureka's declarative syntax allows developers to quickly build and manage dynamic forms with minimal code, while also providing extensive customization options for appearance and behavior.
  • YYText: This Objective-C library is a powerful text component for iOS that supports both asynchronous rendering and editing. YYText offers features such as text highlighting, custom text attributes, and text containers, making it a robust alternative for developers seeking advanced text editing capabilities. It also includes support for rich text editing, text selection, and custom text attachments, providing a comprehensive solution for complex text-based user interfaces.
  • SwiftRichString: This Swift library simplifies the process of creating and managing attributed strings in iOS applications. SwiftRichString offers a declarative syntax for defining text styles and attributes, making it easier to create visually appealing and interactive text elements. It supports features like custom fonts, text colors, and text decorations, providing a lightweight alternative for developers who need to implement rich text functionality without the complexity of a full-featured text editor.
  • RSKPlaceholderTextView: A lightweight UITextView subclass that adds support for placeholder text, RSKPlaceholderTextView is an excellent alternative for developers looking to implement simple text input functionality with placeholder support. This library offers customizable placeholder text appearance and behavior, making it easy to create user-friendly text input fields in iOS applications. RSKPlaceholderTextView also supports dynamic text sizing and multiline input, making it suitable for various use cases.
  • TextView: This Swift library provides a powerful and customizable text view component for iOS applications. TextView offers features such as placeholder text, custom input accessories, and text manipulation tools, making it a versatile alternative to LinkedIn Hakawai. It also includes support for syntax highlighting and custom text attributes, allowing developers to create rich text editing experiences with minimal effort.
  • GrowingTextView: A UITextView subclass that automatically adjusts its height based on the content, GrowingTextView is an excellent choice for developers looking to implement dynamic text input fields. This library offers smooth animations and customizable appearance options, making it easy to create responsive and visually appealing text input areas. GrowingTextView also supports placeholder text and maximum height limits, providing a flexible solution for various text input scenarios.
  • NextGrowingTextView: Another alternative for implementing auto-growing text views in iOS applications, NextGrowingTextView offers a simple and customizable solution for dynamic text input fields. This Swift library provides smooth animations, placeholder text support, and customizable appearance options, making it easy to create user-friendly text input experiences. NextGrowingTextView also includes features like maximum height limits and delegate methods for fine-grained control over the text view's behavior.
  • InputBarAccessoryView: A powerful and highly customizable input bar for iOS applications, InputBarAccessoryView offers a comprehensive solution for implementing chat-like interfaces. This Swift library provides features such as autocomplete, attachment support, and custom input plugins, making it a versatile alternative to LinkedIn Hakawai for developers working on messaging or social media applications. InputBarAccessoryView also includes extensive customization options for appearance and behavior, allowing developers to create unique and engaging user experiences.
  • Typist: A Swift library that simplifies keyboard management in iOS applications, Typist offers a concise and declarative syntax for handling keyboard events and adjusting UI elements accordingly. While not a direct replacement for LinkedIn Hakawai's text editing capabilities, Typist can be an excellent companion library for developers looking to create seamless text input experiences. It provides features like automatic scroll view adjustments and keyboard frame notifications, making it easier to implement responsive text input interfaces.

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