Tech
Bond, a new social media platform, wants to use AI to help you kick your doomscrolling habit
Legacy social media sites have been 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. In recent years, however, a swell of companies have sought to capitalize on users’ burnout, pushing users to engage in IRL experiences, or offering products without addictive features like endless scroll.
Bond, which officially launched on Tuesday, is one of those sites. Dino Becirovic, Bond’s co-founder and CEO, says that his site offers an AI-powered solution to Americans’ screen addiction.
The site works like this: Much like a normal social media platform, users post about what they’ve been up to lately. Bond allows users to update their profiles, posting what it calls “memories,” via a variety of mediums, including pictures, video, and audio files.
Unlike other sites, Bond is designed to act as a kind of idea generator for what the user should go and do in the real world.
Experiences stored within Bond become fodder for its AI system, which then gets trained on what kind of personalized, event-based recommendations to make to the user, Becirovic says.
For instance, if you’ve been posting a lot about how much you like pho and how you haven’t had it in awhile, Bond’s system might recommend a nearby Vietnamese restaurant that is getting good reviews. Or, if you’re into heavy metal, Bond might point out that Iron Maiden is coming to your city next week.
The more you post about your experiences, the more the system can feed you better recommendations, Becirovic says.
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In other words, the system is designed to get you off the app and back out into the real world, where you can do more stuff, instead of just “bed rotting” and “doomscrolling,” as the kids these days say.
The layout looks a little bit like Instagram, although there is no actual feed. Instead, user profiles are presented in a kind of cluster formation. Clicking on a profile brings up the user’s current stories. These stories disappear from your public-facing profile after 24 hours, Becirovic said, but they then get stored in your private profile. Users can search through their own archive of memories whenever they want.
Bond’s team includes people who previously built major social media apps, including TikTok, Twitter, and Facebook, the company says. Becirovic previously worked at Kleiner Perkins and Index Ventures, while Bond’s founding researcher, Arthur Bražinskas, co-led integration of user signals at Google Gemini.
What is the revenue path for a company like this? Most social media sites are just giant vehicles for advertising — and that’s where they make the lion’s share of their revenue. Bond doesn’t have ads, so how’s it going to turn a buck?
Interestingly enough, Becirovic envisions a scenario in which — eventually — users can license their own data from Bond’s archives, selling it to companies that want to use it for AI-training purposes. In this scenario, Bond would take a very small cut of the profits via a licensing fee, thus generating ongoing revenue and positioning itself as a data provider to AI companies that are looking to tune up their models.
“The idea behind this licensing model is that you can monetize your memories,” he said. “If we become this platform with the right incentive structure to get billions of people to create about their daily lives, we will naturally become a really attractive place for people to want to train GPT six and seven, all the other variants that are going to come [in the] future.”
In another scenario, Bond would use its accumulated data to act as a product recommendation tool that integrates with e-commerce sites. “Our users would opt into this experience. If we are able to do this, we believe we could capture some value from the transaction with merchants by enabling a better user experience, driving conversion, and/or increasing throughput,” Becirovic told TechCrunch in an email.
Becirovic said that Bond would never sell users’ data for the purposes of advertising, and users can “delete any memories by either deleting them in the Memory tab or using natural language in Memory chat.” He added: “Users can also delete their profile if they are not getting value from Bond. As the product grows, we will introduce more privacy control features to our users for them to manage their data.”
Becirovic said Bond will improve its encryption over time, though he is a little vague about the platform’s current protections: “E2EE encryption is a priority for us in the near-future after launch. In the meantime, we store all user data securely in our database and ensure it is protected,” he said.
At the moment, Becirovic seems mostly focused on making Bond cool. “Monetization is not a short-term priority,” he said. “Our initial focus is on creating an application users get more value from the more they capture their memories.”
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Tech
Revolut eyes valuation of up to $200B in eventual IPO
British neobank Revolut seems to be eyeing a major valuation bump when it eventually goes public. The company is targeting a market cap between $150 billion and $200 billion in an initial public offering, the Financial Times reported on Tuesday, citing anonymous investor sources.
The fintech giant, which secured a full banking license in the United Kingdom in March after years of waiting, was most recently valued at $75 billion, up from $45 billion in 2024, in a secondary share sale that made it one of Europe’s most valuable private tech companies.
Revolut’s co-founder and CEO, Nik Storonsky, last week said that the company’s IPO was at least “two years away,” according to Bloomberg.
According to PitchBook and the Financial Times, the company is working on another secondary share sale, scheduled for the second half of 2026, that would value it at more than $100 billion.
As of November 2025, the company had raised a total of $5.89 billion, according to PitchBook. Revolut reported revenue of $6 billion in the financial year ended December 31, 2025, up from $4 billion in 2024. The company’s net profit grew to $1.7 billion, up from $1 billion in 2024, and counted 68.3 million retail customers at the end of 2025.
Revolut declined to comment.
Founded in 2015, Revolut offers a range of services spanning multi-currency accounts, payment and transfer services, crypto products, insurance, and more. The neobank has been pouring truckloads of cash into expanding its operations internationally, and recently applied for a banking license in the United States.
Besides the U.K., Revolut has a banking license in the European Union, and it operates in Australia, Japan, New Zealand, Singapore, Brazil, and the U.S. Revolut launched operations in India last October, is about to start operating in Colombia this year, and has received a banking license in Mexico.
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Tech
Amazon taps Sweden’s Einride for its electric big rigs
Einride is adding 75 of its electric heavy duty trucks to Amazon’s Relay freight network as part of a deal that gives the Swedish startup a toehold in the e-commerce giant’s operations. Einride will also provide charging infrastructure across five locations in the United States, under the agreement announced Tuesday.
Amazon isn’t buying or operating the electric trucks. Instead, Einride will own and manage (using its own Saga AI software) the trucks, which can be used by drivers in Amazon’s Relay freight network. Relay, launched in 2017, is an app that truck drivers can use to book hauling gigs with Amazon.
Einride CEO Roozbeh Charli, who took over as chief nearly a year ago, said working with Amazon is a powerful validation of the startup’s technology and strategic vision.
“By deploying our intelligent platform within one of the world’s most sophisticated logistics networks, we are accelerating growth, while continuing to build industry-leading operational expertise,” he said in a statement.
Einride has gained attention and investment for its two-pronged approach to freight. The company has developed and now operates a fleet of about 200 heavy-duty electric trucks for companies like Heineken, PepsiCo, and Carlsberg Sweden in Europe, North America, and the UAE. It has also developed autonomous pod-like trucks, which stand out for their cab-less design.
The agreement with Amazon doesn’t include the autonomous pods.
Einride has landed this agreement at a critical time: The startup is finalizing a merger with blank-check company Legato Merger Corp. and is expected to go public soon.
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While the agreement might not carry the same weight for Amazon, which has a market cap of $2.7 trillion, it does contribute to its low-carbon goals. Amazon has said it wants to reach net-zero carbon emissions across its operations by 2040.
“This rollout is an important step forward in addressing one of the toughest challenges we face in decarbonizing our transportation network — electrifying heavy-duty trucking,” an Amazon spokesperson said in an emailed statement. “We’re excited to continue to collaborate with Einride and learn from these operations as the trucks hit the road.”
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Tech
YouTube expands its AI likeness detection technology to celebrities
YouTube is expanding its new “likeness detection” technology, which identifies AI-generated content, such as deepfakes, to people within the entertainment industry, the company announced on Tuesday.
The technology works similarly to YouTube’s existing Content ID system, which detects copyright-protected material in users’ uploaded videos, allowing rights owners to request removal or share in the video’s revenue.
Likeness detection does the same, but for simulated faces. The feature is meant to help protect creators and other public figures from having their identities used without their permission — a common problem for celebrities who find their likenesses have been used in scam advertisements.
The technology was first made available to a subset of YouTube creators in a pilot program last year before expanding more broadly to include politicians, government officials, and journalists this spring.
Now YouTube says the technology is being made available to those in the entertainment industry, including talent agencies, management companies, and the celebrities they represent. The company has support from major agencies like CAA, UTA, WME, and Untitled Management, which offered feedback on the new tool.
Use of the likeness detection tool does not require entertainers to have their own YouTube channels.
Instead, the feature scans for AI-generated content to detect visual matches of an enrolled participant’s face. Users can then choose to request removal of the video for privacy policy violations, submit a copyright removal request, or do nothing. YouTube notes that it won’t remove all content, as it permits parody and satire content under its rules.
In the future, the technology will support audio as well, the company says.
Related to this, YouTube has also been advocating for similar protections at a federal level, with its support for the NO FAKES Act in Washington, D.C. This would regulate the use of AI to create unauthorized re-creations of an individual’s voice and visual likeness.
The company hasn’t yet said how many removals of AI deepfakes have been managed by the tool so far, but noted in March that the amount of removals was still “very small.”
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