Bond aims to cure doomscrolling with AI, then monetize memories

▼ Summary
– Bond is a new “post-feed” social network launched on April 21 by former Index Ventures principal Dino Becirovic and ex-Google DeepMind researcher Arthur Brazinskas.
– It has no infinite scroll and no algorithmic feed, instead using AI trained on users’ photos, videos, and audio.
– The AI recommends real-world activities based on the user’s personal media.
– The app enters the growing “healthier social” market.
On April 21, a new social platform called Bond officially launched, aiming to break the cycle of doomscrolling by replacing infinite feeds with AI-driven real-world suggestions. Co-founded by former Index Ventures principal Dino Becirovic and ex-Google DeepMind researcher Arthur Brazinskas, Bond positions itself as a “post-feed” social network , one that does away with algorithmic timelines and endless scrolling entirely.
Instead of passively consuming content, users upload their own photos, videos, and audio recordings. Bond’s AI then analyzes this personal media to recommend offline activities, such as meeting up with friends, visiting a local spot, or trying something new. The goal is to shift the focus from screen time to real-world engagement, turning memories into actionable prompts rather than static posts.
The app enters a growing market for “healthier social media” alternatives, where users are increasingly seeking platforms that prioritize well-being over engagement metrics. By leveraging AI not to serve ads or keep eyes glued to the screen, but to foster genuine human connection, Bond hopes to monetize meaningful memories rather than attention.
Becirovic and Brazinskas bring a mix of venture capital and deep tech expertise to the project, signaling serious ambition behind the concept. Whether Bond can truly cure the doomscrolling habit , and build a sustainable business around memory-driven recommendations , will depend on how well its AI understands the nuances of real life, not just the data we choose to share.
(Source: The Next Web)




