Bond launches post-feed social network using AI memories to fight doomscrolling, but its data model raises questions



In short: Bond, a new “post-feed” social network founded by former Index Ventures principal Dino Becirovic and ex-Google DeepMind researcher Arthur Brazinskas, launched on 21 April with no infinite scroll and no algorithmic feed, instead using AI trained on users’ photos, videos, and audio to recommend real-world activities. The app enters a growing “healthier social media” category alongside Tangle (backed by Twitter and Pinterest co-founders), BeReal, and Locket, but its long-term business model of licensing user data for AI training and its launch without end-to-end encryption introduce tensions with its anti-exploitation positioning.

Bond, a social media platform that launched on Tuesday, has no feed. There is no infinite scroll, no algorithmic timeline, no carousel of short videos calibrated to keep you watching the next one. Users post photos, video, and audio as “memories,” and Bond’s AI processes those memories to recommend real-world activities: a restaurant that serves the cuisine you have been posting about, a concert by a band whose music appears in your clips, a hiking trail near a location you photographed last weekend. The premise is that a social network should function as an idea generator for leaving your phone, not a reason to stay on it. Whether that premise can survive contact with the economics of consumer technology is the question the company has not yet answered.

Bond was founded by Dino Becirovic, previously a principal at Index Ventures focused on consumer internet and marketplace investments, with earlier stints at Kleiner Perkins, Goldman Sachs, and Twitter. The founding researcher is Arthur Brazinskas, who co-led integration of user signals at Google Gemini and worked on reinforcement learning from human feedback for model alignment, holding a PhD from the University of Edinburgh in opinion summarisation. The team includes people who previously built products at TikTok, Twitter, and Facebook. The app is available on iOS and Android from launch. Funding details have not been disclosed.

What “post-feed” means in practice

The interface presents user profiles in a cluster formation rather than a scrollable feed. Tapping a profile opens that person’s current stories. There is no equivalent of Instagram’s Explore page or TikTok’s For You feed. The design is deliberately friction-heavy by the standards of conventional social media: it requires intentional navigation rather than passive consumption.

The AI layer sits on top of this structure. Memories posted by users, their photos, videos, and audio, train the system on individual preferences, interests, and habits. Bond then generates personalised recommendations for experiences, events, and activities. Becirovic described the mechanism in concrete terms: if you have been posting about how much you like pho and how you have not had it in a while, Bond might recommend a nearby Vietnamese restaurant getting good reviews. If you are into heavy metal, it might tell you Iron Maiden is playing in your city next week.

Users can manage their data through a Memory tab or through natural language in what Bond calls “Memory chat,” a conversational AI interface for reviewing, editing, or deleting stored content. Users can delete their entire profile if they choose. End-to-end encryption is not available at launch but Becirovic described it as “a priority for us in the near-future.” In the meantime, Bond says it stores all user data securely in its database.

The problem it claims to solve

Becirovic framed Bond as “an AI-powered solution to Americans’ screen addiction,” describing legacy social media platforms as “designed to keep us hooked to our devices, eyes glued endlessly to retina-frying feeds of memes and dumb videos in order to create more engaged platforms for advertisements.” The platform is positioned explicitly against what he called “bed rotting” and “doomscrolling” culture.

The timing is not accidental. A California jury found Meta and Google liable for intentionally building addictive social media platforms in a landmark trial last year, with 1,500 similar cases pending. A wave of European countries are banning children from social media entirely, with Australia, France, Spain, Austria, and Greece all moving to restrict access for minors and the EU Parliament backing a continent-wide digital minimum age of 16. EU regulators have already acted against features designed to reward excessive screen time, forcing TikTok to kill its Lite Rewards programme after Commissioner Thierry Breton stated that “the available brain time of young Europeans is not a currency for social media.” The US Surgeon General has called for warning labels on social media platforms. The cultural and regulatory environment has never been more hostile to the engagement-maximisation model that funds the industry.

Bond is not alone

The “healthier social media” category has been growing steadily. Tangle, founded by Twitter co-founder Biz Stone and Pinterest co-founder Evan Sharp, raised $29 million and asks users a single question each day: “What’s your intention for today?” Sharp described the motivation as addressing “the terrible devastation of the human mind and heart that we’ve wrought the last 15 years.” BeReal prompts users to post one unedited photo per day at a random time, discouraging the staging and filtering that define Instagram. Locket shares photos directly to friends’ home screens via widgets, with no likes, follower counts, or public metrics. Noplace offers a minimalist, text-based social platform with chronological posts and no infinite scrolling. A growing wave of alternative platforms are rejecting the algorithmic status quo entirely, from Pixelfed to Cara, each built on the premise that the dominant model is broken.

What distinguishes Bond from these alternatives is its use of AI as the core product rather than a feature layered on top. BeReal’s innovation is a notification mechanism. Locket’s is a widget. Bond’s is a recommendation engine trained on personal content that learns what you enjoy and tells you where to find more of it in the physical world. The AI is not generating content for you to consume. It is processing content you have already created to push you toward experiences you might not have found otherwise.

The tension at the centre

Bond’s long-term business model introduces a tension that the launch rhetoric does not resolve. Becirovic has said the company will never sell user data for advertising purposes. But he has described a future in which users can license their own data from Bond’s archives, selling it to companies that want to use it for AI training, with Bond taking a cut through a licensing fee. The company also envisions using accumulated data as a product recommendation tool integrated with e-commerce sites.

This means the same personal memories that Bond frames as private and user-controlled are also, in the company’s own long-term vision, a monetisable asset. The distinction between “selling data for advertising” and “licensing data for AI training” is semantic rather than structural. In both cases, intimate personal content, the photos and videos and audio that users post because they trust a platform that promises not to exploit them, becomes the product. The cognitive harms of doomscrolling are well documented: impaired attention, degraded memory, lowered mood. Bond is correct that the problem is real. Whether an AI system that processes your most personal content and plans to monetise it through data licensing is the solution, rather than a different version of the same exchange, is the question the company will eventually have to answer more precisely than it has so far.

The absence of end-to-end encryption at launch makes this sharper. Bond is asking users to upload photos, videos, and audio of their personal lives to a platform that processes that content with AI, stores it without end-to-end encryption, and has a stated long-term plan to create a data licensing marketplace around it. The privacy architecture does not yet match the privacy promise. For a platform built on the premise that social media betrayed its users’ trust, that gap matters more than it would for a conventional app, because Bond is explicitly asking people to trust it with the kind of content they stopped trusting Instagram with.

Bond has the right diagnosis. Social media is too addictive, too passive, too disconnected from the physical world it was supposed to enhance. The prescription, an AI that knows you well enough to tell you what to do next, is either a genuinely better model or the same surveillance architecture wearing a wellness brand. The answer depends entirely on execution, and the company has not yet been tested by the pressures, growth targets, investor expectations, competitive dynamics, that turned every previous social platform’s founding principles into a footnote in its terms of service.



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After being teased in the second beta, the new “Bubbles” feature is finally available in Android 17 Beta 3. This is the biggest change to Android multitasking since split-screen mode. I had to see how it worked—come along with me.

Now, it should be mentioned that this feature will probably look a bit familiar to Samsung Galaxy owners. One UI also allows for putting apps in floating windows, and they minimize into a floating widget. However, as you’ll see, Google’s approach is more restrained.

App Bubbles in Android 17

There’s a lot to like already

First and foremost, putting an app in a “Bubble” allows it to be used on top of whatever’s happening on the screen. The functionality is essentially identical to Android’s older feature of the exact same name, but now it can be used for apps in addition to messaging conversations.

To bubble an app, simply long-press the app icon anywhere you see it. That includes the home screen, app drawer, and the taskbar on foldables and tablets. Select “Bubble” or the small icon depicting a rectangle with an arrow pointing at a dot in the menu.

Bubbles on a phone screen

The app will immediately open in a floating window on top of your current activity. This is the full version of the app, and it works exactly how it would if you opened it normally. You can’t resize the app bubble, but on large-screen devices, you can choose which side it’s on. To minimize the bubble, simply tap outside of it or do the Home gesture—you won’t actually go to the Home Screen.

Multiple apps can be bubbled together—just repeat the process above—but only one can be shown at a time. This is a key difference compared to One UI’s pop-up windows, which can be resized and tiled anywhere on the screen. Here is also where things vary depending on the type of device you’re using.

If you’re using a phone, the current bubbled apps appear in a row of shortcuts above the window. Tap an app icon, and it will instantly come into view within the bubble. On foldables and tablets, the row of icons is much smaller and below the window.

Another difference is how the app bubbles are minimized. On phones, they live in a floating app icon (or stack of icons) on the edge of the screen. You are free to move this around the screen by dragging it. Tapping the minimized bubble will open the last active app in the bubble. On foldables and tablets, the bubble is minimized to the taskbar (if you have it enabled).

Bubbles on a foldable screen

Now, there are a few things to know about managing bubbles. First, tapping the “+” button in the shortcuts row shows previously dismissed bubbles—it’s not for adding a new app bubble. To dismiss an app bubble, you can drag the icon from the shortcuts row and drop it on the “X” that appears at the bottom of the screen.

To remove the entire bubble completely, simply drag it to the “X” at the bottom of the screen. On phones, there’s also an extra “Manage” button below the window with a “Dismiss bubble” option.

Better than split-screen?

Bubbles make sense on smaller screens

That’s pretty much all there is to it. As mentioned, there’s definitely not as much freedom with Bubbles as there is with pop-up windows in One UI. The latter allows you to treat apps like windows on a computer screen. Bubbles are a much more confined experience, but the benefit is that you don’t have to do any organizing.

Samsung One UI pop-up windows

Of course, Android has supported using multiple apps at once with split-screen mode for a while. So, what’s the benefit of Bubbles? On phones, especially, split-screen mode makes apps so small that they’re not very useful.

If you’re making a grocery list while checking the store website, you’re stuck in a very small browser window. Bubbles enables you to essentially use two apps in full size at the same time—it’s even quicker than swiping the gesture bar to switch between apps.

If you’d like to give App Bubbles a try, enroll your qualified Pixel phone in the Android Beta Program. The final release of Android 17 is only a few months away (Q2 2026), but this is an exciting feature to check out right now.

A desktop setup featuring an Android phone, monitor, and mascot, surrounded by red 'missing' labels


Android’s new desktop mode is cool, but it still needs these 5 things

For as long as Android phones have existed, people have dreamed of using them as the brains inside a desktop computing setup. Samsung accomplished this nearly a decade ago, but the rest of the Android world has been left out. Android 17 is finally changing that with a new desktop mode, and I tried it out.



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