Bond, a new social media platform, wants to use AI to help you kick your doomscrolling habit

2026-04-21 · Source: AI News & Artificial Intelligence | TechCrunch · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Data Science & Analytics · Depth: Fundamental Awareness, short

Summary

Bond, a new social media platform launched on Tuesday, aims to combat screen addiction by using AI to generate real-world activity recommendations. Unlike traditional platforms focused on endless feeds and advertising, Bond encourages users to post "memories" via pictures, video, and audio. Its AI system processes these experiences to suggest personalized, event-based activities, such as nearby restaurants based on food preferences or concerts for music tastes. The platform's interface resembles Instagram but lacks a feed, presenting profiles in clusters with 24-hour stories that are then privately archived. Bond's team includes former developers from TikTok, Twitter, and Facebook, with its co-founder and CEO, Dino Becirovic, and founding researcher, Arthur Bražinskas, having backgrounds at Kleiner Perkins, Index Ventures, and Google Gemini, respectively.

Key takeaway

For Product Managers designing social platforms, consider how your product can drive real-world engagement rather than just screen time. Bond's model of using AI to convert user-generated content into personalized activity recommendations offers a novel approach to user value and potential data monetization, moving beyond traditional ad-based revenue streams. Explore integrating similar AI-driven recommendation engines to foster offline experiences and empower users with data ownership.

Key insights

Bond uses AI to transform user-posted memories into personalized real-world activity recommendations.

Principles

• Social media can drive real-world engagement.
• User data can be monetized directly by users.
• AI can personalize experiential recommendations.

Method

Users post "memories" (photos, videos, audio) which train an AI system. This system then generates personalized, event-based recommendations for real-world activities, aiming to get users off the app.

In practice

• Post memories about interests (e.g., food, music).
• Explore AI-generated local activity suggestions.
• Consider future data licensing for revenue.

Topics

• Bond Platform
• AI-powered Social Media
• Personalized Recommendations
• Data Monetization
• User Data Privacy

Best for: Product Manager, AI Product Manager, Entrepreneur, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.