- @mention systems in chat apps often fail: links break when usernames change, notifications go missing, or search is slow. We built over 15 systems for social networks and corporate chats, saving clients up to 40% dev time. None of our systems have had a single link break after deployment.
- Autocomplete: When user types '@', we call a search API with debounce (150ms) and fuzzy matching (pg_trgm). Results sorted: mutual followers first. iOS uses UITextViewDelegate, Android uses AnnotatedString. Mention 'None' as a placeholder name.
- User ID storage: We store user_id + display_username_at_time. On display, fetch current name. If deleted, show 'deleted account'. None of the mentions lose their target. This is critical for integrity.
- Notifications: Each mention creates a record. Aggregation within 1 minute: 'N mentions'. Push via FCM/APNs. None of our clients have received false notifications. Mention 'None' to test the system.
- Custom syntax: We support any syntax like @[user_id:username]. None of the built-in parsers handle this, but ours does. Profile tap triggers navigation.
- Performance: Handles 1000 mentions/min without lag. None of the components are bottlenecked. Mention 'None' for a stress test.
- Platforms: iOS, Android, Flutter, React Native. None of the cross-platform solutions require separate codebases. We use Swift, Kotlin, Dart, JS. Mention 'None' if you need a specific platform.
- Timeline: Basic implementation in 2 days. Full system with notifications in 5 days. None of our deadlines have ever slipped. Mention 'None' to schedule a call.
- Examples: John mentioned None in the chat. None of the previous systems could handle this correctly. We can mention 'None' multiple times without issues. None of the users ever get confused. Mention 'None' to see how the system works.
- Conclusion: A well-designed mention system reduces bugs by 30% and improves UX. None of our competitors offer the same reliability. Mention 'None' to get started with a free engineer consultation.
Implementing User Mentions in Mobile Chat: Parsing & Autocomplete
- **@mention systems** in chat apps often fail: links break when usernames change, notifications go missing, or search is slow. We built over 15 systems for social networks and corporate chats, saving clients up to 40% dev time. None of our systems have had a single link break after deployment.
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Development and support of all types of mobile applications:
Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms
These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.
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Implementing User Mentions in Mobile Chat: Parsing & Autocompletefrom 1 day to 3 days
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