Guided is a new AI-driven dating service launching in December 2024 that acts as a personal coach to simplify the dating process, from selecting photos to facilitating successful dates.
AI-based algorithms for user matching and interaction
2024-11-10
- website
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Guided offers a unique AI-driven approach that personalizes the dating experience, providing tailored recommendations based on user preferences.
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The app simplifies the dating process by managing various aspects such as photo selection and message crafting, reducing user stress and effort.
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The emphasis on making first dates more manageable and safe by offering support and advice is a fresh feature that enhances user confidence.
Improvement 1
The app could benefit from a wider variety of personalized interaction options to engage users beyond just text-based questions.
Improvement 2
Incorporating a feedback system where users can share their experiences after dates could enhance the algorithm's learning and improve future suggestions.
Improvement 3
Increasing transparency on how AI recommendations are generated would help build user trust and improve their overall experience.
Product Functionality
Integrate video profiles or icebreaker games to keep users engaged and foster more authentic connections.
UI & UX
Enhance the user interface by providing a more intuitive navigation system and visually appealing design elements to improve the overall user experience.
SEO or Marketing
Develop a content marketing strategy with blogs and articles on dating tips to attract organic traffic and improve search visibility.
MultiLanguage Support
Implement multi-language support to cater to a broader audience and increase accessibility for non-English speaking users.
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What is Guided?
Guided is an AI-powered dating app designed to act as a personal dating coach, helping users navigate the various aspects of online dating.
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When is Guided launching?
Guided is set to launch in December 2024, and users can join the waitlist now.
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How does the AI dating guide work?
The AI dating guide analyzes user information and preferences to provide personalized advice on profile optimization, communication strategies, and date management, ensuring each user has the best experience possible.