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iOS 16 takes off, TikTok clones BeReal, social cos go to Congress • TechCrunch



Welcome back to This Week in Apps, the weekly TechCrunch series that recaps the latest in mobile OS news, mobile applications and the overall app economy.

Global app spending reached $65 billion in the first half of 2022, up only slightly from the $64.4 billion during the same period in 2021, as hypergrowth fueled by the pandemic has decreased. But overall, the app economy is continuing to grow, having produced a record number of downloads and consumer spending across both the iOS and Google Play stores combined in 2021, according to the latest year-end reports. Global spending across iOS and Google Play last year was $133 billion, and consumers downloaded 143.6 billion apps.

This Week in Apps offers a way to keep up with this fast-moving industry in one place with the latest from the world of apps, including news, updates, startup fundings, mergers and acquisitions, and much more.

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It’s time to BeReal…on TikTok

Image Credits: TikTok

We expect to see this sort of copy-and-pasting from Meta — or even Snap and YouTube these days — as the major tech companies try to figure out how to compete with TikTok’s short-form video. But typically, it’s TikTok that’s being copied from, not the one doing the copying. That changed this week, however, when the company announced it was launching a fairly shameless BeReal clone in its app, which it calls “TikTok Now.”

Similar to the hot Gen Z app BeReal, TikTok Now will prompt its U.S. users to take a front and back camera photo or 10-second video at a random time every day, which is then shared with friends in a new section labeled “Now” in the app’s main navigation — quite a prominent position for an unoriginal feature.

The addition initially seems like an odd one for TikTok, given its primary focus is on video entertainment, not friendship-focused social networking, which is what BeReal’s all about. But we have seen some signs in recent months that TikTok’s ambitions are aimed at taking on both areas. The company has been pushing more features designed to connect its users with their real-life friends on its app, for example by asking for access to users’ address books, and even swapping out its Discover tab for a Friends tab. Plus, as you browse your For You feed, you’ll also see recommendations of people to follow. Some users report that people they know have been finding their TikTok accounts thanks to what appears to be based on address book-based phone number matching, as well. (And they’re not all happy about it.)

Meanwhile, TikTok hasn’t been entirely transparent about what it’s up to here, but this BeReal clone makes it a lot more obvious: it wants users’ friend graphs. It wants to be a social network, too.

This reason is simple. Younger, Gen Z users are adopting new online behaviors when it comes to social networking. They’re moving away from older social networks, like Facebook, and have even begun to find Instagram increasingly crowded and annoying with its Reels focus. Gen Z instead is using video networking on apps like Yubo, and checking in on close friends through apps like BeReal. If TikTok doesn’t move into these areas, too, then this in-demand demographic will continue to take part in these new networking experiences in other apps, potentially impacting the time they have to spend on TikTok — which hurts its own business. It would also prevent TikTok from developing features that cater to real-world friends in the future, which could make its app more comprehensive than the video timewaster it is today.

iOS 16 adoption is faster than iOS 15

Image Credits: Mixpanel

According to data from Mixpanel (via iMore), there’s greater consumer demand for iOS 16 compared with the release of iOS 15 last year. After the first 24 hours, iOS 16 had been downloaded by 6.71% of users, versus 6.48% of users who downloaded iOS 15. However, both updates had trailed iOS 14, which reached 9.22% of users its first day. However, iOS 14 was a major consumer update, as it introduced Home Screen widgets for the first time. While iOS 16 brings another widget format — Lock Screen widgets — other features, like Live Activities, are still to come.

As of Friday, Mixpanel notes iOS 16 has 16.76% adoption, but 72.98% of users are still on iOS 15 at this time; 10.26% of users are on an even older OS.

Social media cos get grilled by the Senate

Homeland Security social media hearing

Image Credits: Photo by Alex Wong/Getty Images / Getty Images

The social app makers were hauled into Congress for another hearing this week. After having to answer for their lack of minor protections in their apps last year, this time around the companies were testifying before the Senate Homeland Security Committee about what risks they may pose to national security. For Meta, the hearing was a much-needed reprieve as many of the senators had their eyes on TikTok instead — especially after reports that TikTok U.S. user data was accessed by employees in China.

The companies were asked to disclose the number of full-time employees they have on their trust and safety teams, but all except Twitter refused to answer. Twitter, however, said it it has 2,200 people working on trust and safety across its platform, though it wasn’t clear if some did other work. Meta was asked how many of the 40,000 people it reportedly had on trust and safety were focused on non-U.S. users and non-English language issue, and the company didn’t answer.

TikTok, meanwhile, was pressed hard on its relationship with the Chinese government. COO Vanessa Pappas denied the reporting from BuzzFeed about employee access to user data and dodged other questions — including one about how many of its employees were members of the Chinese Communist Party. She also said TikTok was not collecting U.S. users’ biometric data, even though the company had quietly updated its privacy policy last year to allow it to do so.

Adobe’s big bet on Figma

Adobe’s stunning $20 billion acquisition of digital design company Figma this week was a big bet that takes out one of its biggest rivals, even if it meant paying twice as much as Figma’s most recent private valuation. What does this mean for the company going forward, and what other design startups could be next? TechCrunch+ has the answers.

This Week in Apps readers can take 15% off an annual pass to TechCrunch+ with the code “TWIA.” 

Platforms: Apple

iOS 16

Image Credits: Apple

  • iOS 16 debuted. The latest version of Apple’s new mobile operating system arrived right on time, allowing users to take advantage of upgrades like Lock Screen widgets, Focus filters, the ability to edit and unsend iMessage text, background cutout for photos, security and privacy improvements, updates to Apple’s first-party apps and more.
  • Apple also updated its other OSes, including the release of watchOS 9, which brings new watch faces, an improved Workout app, sleep stages, an AFib History feature, redesigned Compass app and new Medications app.
  • Apple’s tvOS 16, meanwhile, brought more under-the-hood improvements, like support for Nintendo Switch controllers, HDR10+ and the ability for TV apps to leverage data from other Apple devices (e.g. Apple Fitness+ will show your workout metrics on-screen).
  • iPadOS 15.7, macOS Monterey 12.6 and macOS Big Sur 11.7, were released as well.
  • WeatherKit subscriptions launched alongside iOS 16. The service is meant to replace the weather service from Apple-acquired Dark Sky, which is shutting down. WeatherKit delivers up to 500,000 API calls per month for weather and forecast data to registered Apple Developer Program members before pricing kicks in.
  • Apple told developers this week they would soon be able to buy new Search Ad spots on the App Store. The company invited developers to a session to learn more about the ad slots, which should be live by the holiday season.

Platforms: Google

  • Google began rolling out Play Store reviews tailored to your device — a feature it first announced in August 2021.
  • Google said it would make the newly approved emojis available to Android users by the end of the year, after the Unicode Consortium published the Unicode 15.0 standard on Tuesday with 31 new emojis. The additions include a pushing hand, a shaking face (or I’m SHOOK), a moose, a goose, the long-awaited pink heart and a Wi-Fi/wireless sign.


  • Supermarket chain Wegmans said it will shut down its in-store scan-and-go app on Sunday, September 18, 2022, stating that it experienced too many losses from the SCAN program to continue making the mobile app available.
  • Walmart introduced new virtual try-on technology, which uses customers’ own photos to model the clothing across a range of brands. The new feature, “Be Your Own Model,” expands on the existing option to choose from one of more than 100 existing models of different heights, sizes and skin tones. Initially, users will be able to take their photos with the Walmart iOS app to virtually try on clothes from

Image Credits: Walmart


  • Coinbase updated its app to allow U.S. users to see a scorecard that evaluates members of Congress on crypto policy issues and pushes them to register to vote and locate political events.
  • It was also merge week for Ethereum! Here’s what comes next.


Image Credits: Meta

  • Facebook introduced Community Chats, a new feature that connects Facebook Groups in Messenger via text, audio and video chats. The feature also offers categories and admin-only chats, as well.
  • Internal Meta research, reported by The WSJ, indicated that Instagram users are spending 17.6 million hours per day on Reels, far short of the 197.8 million hours per day spent on TikTok. In addition, one-third of Reels were found to be recycled from other platforms.
  • Twitter shareholders voted to approve Elon Musk’s proposed $44 billion buyout of the platform, even as Musk tries to cancel the deal. The vote was held on the same day that former Twitter security lead Peiter Zatko testified before Congress about his whistleblower report documenting the security and privacy lapses at the company.
  • Instagram began internally testing a tipping feature, “Gifts,” that gives creators a new way to make money through Reels.
  • French social app Yubo said it will begin to verify all users’ ages using facial recognition technology. The startup is using Yoti’s age estimation technology, which uses the phone camera to take a photo and a short video of the user’s face, verifying ages with 98.9% accuracy. The company has 60 million users and had initially started verifying ages of those who said they were younger, like 13 or 14 years old.

Image Credits: Yubo

  • Discord launched a new Forum Channels feature to help server owners better organize conversations. The feature involves sub-channels that can be used to branch off conversations about particular topics or to avoid having to create another channel for focused conversations.
  • Snapchat for Web began to roll out to all users worldwide, after initial tests as a Snapchat+ feature. The web version allows users to send messages and snaps, chat via video and voice, and access the mobile app’s messaging features, like chat reactions. It also includes more than 10 Lenses for video calls.


Image Credits: Google

  • Google Photos redesigned its Memories feature with vertical swiping, more video and other creative tools. The service will automatically select and trim the best snippets from your longer videos using machine learning as part of its enhancements to Memories and will add a new collage-making tool, the ability to share Memories with friends and more.
  • Apple updated its iOS 16 web page to note that the iCloud Shared Photo Library feature is not coming until “later this year,” instead of launching with iOS 16 on Monday, September 12.


  • WhatsApp is making movies, Variety reported. The messaging app owned by Meta is introducing its first original film this month, a project featuring NBA All-Star MVP Giannis Antetokounmpo’s life story. WhatsApp plans to release the film on September 21 across its social media channels, YouTube and Amazon Prime Video. The story is actually branded content as it will communicate how WhatsApp brings people together.
  • Communications startup Sendbird announced it would now allow customers to add livestreaming combined with chat in their apps with a couple of lines of code, via a new product called Sendbird Live.

Streaming & Entertainment

  • Twitter began rolling out podcasts in its redesigned Spaces tab to all its Twitter Blue subscribers, after initially testing it with a subset of Twitter users. The feature adds personalized hubs called “Stations” that group together content by topic, like news, music, sports and more.
  • TikTok competitor YouTube Shorts launched a new feature that more closely integrates the feature with YouTube Music. Now, users can save songs they discover in Shorts to listen to later in YouTube Music, via a custom playlist, “Sounds on Shorts.”
  • Spotify and Wattpad struck a deal to launch a series of exclusive podcasts in Indonesia and the Philippines to bring popular web novels to life, including “My Ice Girl,” which has 22 million reads on Wattpad; “The Four Bad Boys and Me,” which has 321 million reads; and “For Hire: A Damn Good Kisser,” which has 42.1 million reads.
  • Spotify’s Live streaming platform is not going well. The company this week had to cancel a performance by Ghost, claiming the demand for the event had caused technical difficulties. (One Twitter user noted that may not have actually been the case, but rather the access password had leaked causing other users to pop up rooms with people who hadn’t been invited, they said.)
  • YouTube’s video platform, Shorts, may soon offer creators to earn payments and place ads in their videos, The NYT learned. It expects to announce the changes on Tuesday.
  • YouTube also this week introduced a new feature that would allow creators to make new Shorts directly from their video’s comments. The feature very much duplicates similar functionality on TikTok, where creators can turn comments into new videos allowing them to continue the conversation or respond to users’ comments with a rebuttal or further explanation of their own.

Image Credits: YouTube

  • Amazon announced its live radio app Amp, a sort of Spotify Live or Clubhouse competitor, would gain a new creator fund that will help reward creators who build engaging shows and attract a loyal audience. The company said it allocated “millions of dollars” for this fund, but declined to provide an exact figure. It said payouts to creators would vary.


  • Grindr appointed George Arison as CEO, starting on October 19, ahead of its planned SPAC merger. Arison had previously helped the auto marketplace Shift go public via a SPAC in 2020.


Lucky Luna on Netflix

Image Credits: Netflix

  • Snowman, the maker of popular mobile games like Alto’s Adventure, Alto’s Odyssey, and Skate City, launched its latest new game exclusively with Netflix. The studio’s new vertical scrolling platformer, Lucky Luna, comes to iOS and Android devices through Netflix Games.
  • Tencent pulled in $2.6 billion in its video game segment during the first half of 2022, accounting for nearly 10% of the U.S.’s $27 billion gaming app market. ByteDance was in second place at $1.3 billion.
  • Chinese regulators approved paid games from Tencent and NetEase for the first time since July 2021, when it began a crackdown on the tech sector. Among the 73 new publishing licenses that were approved, 69 were for mobile games. Other developers also received licenses, including Zhong Qing Bao, Leiting, XD Inc. and CMGE Technology Group.

Health & Fitness

  • Following the overturn of Roe v Wade, the period-tracking app Flo launched a new “anonymous mode” feature on iOS which gives users the option to use the app without their name, email address or technical identifiers associated with their health data. The feature will come to Android next month.


Image Credits: Opal

  • Opal, a “digital well-being assistant,” rolled out a rebuilt version of its app designed to help individuals better monitor and manage their screen time usage. While most screen time apps are focused on helping parents manage their children’s screen time, Opal is aimed at anyone who wants to create better digital habits. The older version relied on a VPN to manage access to certain apps, but the new Opal now uses Apple’s Screen Time API to provide reports on screen time usage and temporarily block users from their distracting apps.

Government & Policy

  • An EU court backed the European Commission’s decision to fine Google over Android antitrust breaches, but lessened the fine from €4.34 billion to €4.1 billion.
  • South Korea’s privacy regulator fined Google around $50 million and Meta $22 million for failing to obtain user consent when collecting behavioral data for showing tailored ads.
  • California passed a new law on Thursday, the California Age-Appropriate Design Code Act, that will make it the first state to introduce legislation aimed at protecting the well-being, data and privacy of children using online platforms. The law requires online platforms to “consider the best interest of child users” and to default to privacy and safety settings that “protect children’s mental and physical health and wellbeing,” a press release noted. It also prohibits companies from using a child’s personal information, profiling children by default, encouraging them to disclose personal information or collecting, retaining or selling their geolocation data, among other things.

Security & Privacy

  • Apple released a round of security updates to patch zero-day flaws in iOS and macOS.
  • TechCrunch’s Zack Whittaker took a dive into iOS 16’s new security and privacy features, including Lockdown Mode, Rapid Security Response, Safety Check, Passkeys and changes to copy and paste permissions.
  • Uber is facing a cybersecurity incident involving a hacker who breached its internal network after using social engineering techniques to compromise an employee’s Slack account. Uber says there’s no evidence sensitive info, like trip histories, was accessed.
  • A messaging app for parents and teachers, Seesaw, was compromised by hackers using a credential stuffing technique to send out an explicit image. The app has 10 million users.
  • A new warning about fake App Store pages is going around. The pages are designed to look very much like an App Store page but have slight differences that savvy users might notice like a green download button, for instance. If clicked, the page may take users to download malware.

🤝 In a massive deal, Adobe announced plans to acquire UI design and prototyping tool Figma for around $20 billion, half in cash and half in stock. Figma CEO Dylan Field will continue to lead the company following the deal close. The deal also includes 6 million additional restricted stock units granted to Figma’s CEO and employees that will vest over four years following the closing. Figma has around 4 million users and had grown to become a competitor to Adobe’s creative tools.

💰 Nigerian financial management app for merchants, Kippa, raised $8.4 million in seed funding from a number of investors, including Goodwater Capital, TEN13 VC, Rocketship VC, Saison Capital, Crestone VC, VentureSouq, Horizon Partners and Vibe Capital. The bookkeeping app helps small and medium businesses in sub-Saharan Africa and counts more than 500,000 merchants on its platform.

💰 Denmark-based podcast subscription service Podimo raised €58.6 million (~$58.4 million) led by 83North, Highland and Saban, bringing its total raise to date to €162 million. The app offers personalized recommendations, full-length videos, a skip intro feature and more to users in Denmark, Germany, Spain, Norway, the Netherlands, Finland and Latin America.

💰 A mobile bank for migrants, Majority, closed on $37.5 million in Series B funding, $30 million of which is in equity financing led by Valar Ventures and others. This is the third venture round for the startup in just over a year.

📉 General Atlantic is buying out SoftBank’s entire 15% stake in the Norwegian edtech game platform, Kahoot. SoftBank, which had invested $215 million into the company, is exiting at a loss as 15% of Kahoot’s current market cap (10.415 billion Norwegian Krone) is around $152 million (1,562,250,000 NOK).

iOS 16 Lock Screen widgets

array of smartphones

Image Credits: Google

This week, everyone was rolling out their iOS 16-optimized apps. TechCrunch took a look at a number of these new releases, including those from major tech companies and indie developers.

The big winner of the Lock Screen widget race was Top Widgets, the generically named widget from a Chinese tech company that offers a variety of widget styles, including informational dashboards and even animations for the Lock Screen, appealing to a younger, Gen Z crowd. Following the release of iOS 16, Top Widgets gained 1.3 million downloads in just two days’ time.

Get started with widgets

  • TechCrunch shared a round-up of over 25 apps that have added Lock Screen widgets across categories like personalization, travel, work, cooking, weather and more. If you’re looking to try a variety of widgets to figure out which you like best, this is a good place to start.

A few more favs

TechCrunch also highlighted a few widget makers individually, as they released, from smaller companies outside of Big Tech. These included:

Image Credits: ScreenKit

  • Apollo’s iOS 16-optimized app brings Reddit to your Lock Screen with widgets for Trending posts, quick access to a favorite subreddit and updates on things like upvotes, comments, karma and more. It also included fun little features, like a widget that shows how far you’ve scrolled Reddit by feet, miles or km, and little animal characters that play across the top of the notch area that will become the Dynamic Island.
  • Two apps, ShortFlow and LockFlow, allow users to turn their Apple Shortcuts into Lock Screen widgets.
  • Flighty’s travel app added a handful of new widgets, including a Trip Countdown widget to use ahead of your travels, as well as a Live Flight Status widget and an In-Flight Progress Bar.
  • ScreenKit’s app, meanwhile, is a good example of how personalization utilities are embracing the Lock Screen, as it added over 100 Lock Screen widget variations and over 200 pre-made Lock Screen themes that users can coordinate with its existing themes, wallpapers, icons, Home Screen widgets and more.

Big companies release their widgets, too

Snapchat lock screen widgets for iOS 16

Image Credits: Snap

  • Snapchat rolled out two Lock Screen Widgets with its iOS 16 update. One is a small square widget that opens directly to the Snapchat camera. The second is a rectangular widget that opens to a conversation with a friend or group.
  • Facebook introduced a set of iOS 16 Lock Screen widgets, offering two to choose from: “Birthdays at a Glance” and “Top Updates.”
  • Google introduced its set of iOS 16 Lock Screen widgets, but didn’t have them ready for launch day, unfortunately. The coming widgets include those for Search, Maps, Gmail, Chrome, Drive and News. We still need Google Calendar!





AI music generators could be a boon for artists — but also problematic • TechCrunch



It was only five years ago that electronic punk band YACHT entered the recording studio with a daunting task: they would train an AI on fourteen years of their music, then synthesize the results into the album “Chain Tripping.”

“I’m not interested in being a reactionary,” YACHT member and tech writer Claire L. Evans said in a documentary about the album. “I don’t want to return to my roots and play acoustic guitar because I’m so freaked out about the coming robot apocalypse, but I also don’t want to jump into the trenches and welcome our new robot overlords either.”

But our new robot overlords are making a whole lot of progress in the space of AI music generation. Even though the Grammy-nominated “Chain Tripping” was released in 2019, the technology behind it is already becoming outdated. Now, the startup behind the open source AI image generator Stable Diffusion is pushing us forward again with its next act: making music.

Creating harmony

Harmonai is an organization with financial backing from Stability AI, the London-based startup behind Stable Diffusion. In late September, Harmonai released Dance Diffusion, an algorithm and set of tools that can generate clips of music by training on hundreds of hours of existing songs. 

“I started my work on audio diffusion around the same time as I started working with Stability AI,” Zach Evans, who heads development of Dance Diffusion, told TechCrunch in an email interview. “I was brought on to the company due to my development work with [the image-generating algorithm] Disco Diffusion and I quickly decided to pivot to audio research. To facilitate my own learning and research, and make a community that focuses on audio AI, I started Harmonai.”

Dance Diffusion remains in the testing stages — at present, the system can only generate clips a few seconds long. But the early results provide a tantalizing glimpse at what could be the future of music creation, while at the same time raising questions about the potential impact on artists.

Image Credits: DALL-E 2 / OpenAI

The emergence of Dance Diffusion comes several years after OpenAI, the San Francisco-based lab behind DALL-E 2, detailed its grand experiment with music generation, dubbed Jukebox. Given a genre, artist and a snippet of lyrics, Jukebox could generate relatively coherent music complete with vocals. But the songs Jukebox produced lacked larger musical structures like choruses that repeat, and often contained nonsense lyrics

Google’s AudioLM, detailed for the first time earlier this week, shows more promise, with an uncanny ability to generate piano music given a short snippet of playing. But it hasn’t been open sourced. 

Dance Diffusion aims to overcome the limitations of previous open source tools by borrowing technology from image generators such as Stable Diffusion. The system is what’s known as a diffusion model, which generates new data (e.g., songs) by learning how to destroy and recover many existing samples of data. As it’s fed the existing samples — say, the entire Smashing Pumpkins discography — the model gets better at recovering all the data it had previously destroyed to create new works.

Kyle Worrall, a Ph.D. student at the University of York in the U.K. studying the musical applications of machine learning, explained the nuances of diffusion systems in an interview with TechCrunch:  

“In the training of a diffusion model, training data such as the MAESTRO data set of piano performances is ‘destroyed’ and ‘recovered,’ and the model improves at performing these tasks as it works its way through the training data,” he said via email. “Eventually the trained model can take noise and turn that into music similar to the training data (i.e., piano performances in MAESTRO’s case). Users can then use the trained model to do one of three tasks: Generate new audio, regenerate existing audio that the user chooses, or interpolate between two input tracks.”

It’s not the most intuitive idea. But as DALL-E 2, Stable Diffusion and other such systems have shown, the results can be remarkably realistic.

For example, check out this Disco Diffusion model fine-tuned on Daft Punk music:

Or this style transfer of the Pirates of the Caribbean theme to flute:

Or this style transfer of Smash Mouth vocals to the Tetris theme (yes, really):

Or these models, which were fine-tuned on copyright-free dance music:

Artist perspective

Jona Bechtolt of YACHT was impressed by what Dance Diffusion can create.

“Our initial reaction was like, ‘Okay, this is a leap forward from where we were at before with raw audio,’” Bechtolt told TechCrunch.

Unlike popular image-generating systems, Dance Diffusion is somewhat limited in what it can create — at least for the time being. While it can be fine-tuned on a particular artist, genre or even instrument, the system isn’t as general as Jukebox. The handful of Dance Diffusion models available — a hodgepodge from Harmonai and early adopters on the official Discord server, including models fine-tuned with clips from Billy Joel, The Beatles, Daft Punk and musician Jonathan Mann’s Song A Day project — stay within their respective lanes. That is to say, the Jonathan Mann model always generates songs in Mann’s musical style.

And Dance Diffusion-generated music won’t fool anyone today. While the system can “style transfer” songs by applying the style of one artist to a song by another, essentially creating covers, it can’t generate clips longer than a few seconds in length and lyrics that aren’t gibberish (see the below clip). That’s the result of technical hurdles Harmonai has yet to overcome, says Nicolas Martel, a self-taught game developer and member of the Harmonai Discord.

“The model is only trained on short 1.5-second samples at a time so it can’t learn or reason about long-term structure,” Martel told TechCrunch. “The authors seem to be saying this isn’t a problem, but in my experience — and logically anyway — that hasn’t been very true.”

YACHT’s Evans and Bechtolt are concerned about the ethical implications of AI – they are working artists, after all – but they observe that these “style transfers” are already part of the natural creative process.

Dance Diffusion art

Image Credits: DALL-E 2 / OpenAI

“That’s something that artists are already doing in the studio in a much more informal and sloppy way,” Evans said. “You sit down to write a song and you’re like, I want a Fall bass line and a B-52’s melody, and I want it to sound like it came from London in 1977.”

But Evans isn’t interested in writing the dark, post-punk rendition of “Love Shack.” Rather, she thinks that interesting music comes from experimentation in the studio – even if you take inspiration from the B-52’s, your final product may not bear the signs of those influences. 

“In trying to achieve that, you fail,” Evans told TechCrunch. “One of the things that attracted us to machine learning tools and AI art was the ways in which it was failing, because these models aren’t perfect. They’re just guessing at what we want.” 

Evans describes artists as “the ultimate beta testers,” using tools outside of the ways in which they were intended to create something new. 

“Oftentimes, the output can be really weird and damaged and upsetting, or it can sound really strange and novel, and that failure is delightful,” Evans said. 

Ethical consequences

Assuming Dance Diffusion one day reaches the point where it can generate coherent whole songs, it seems inevitable that major ethical and legal issues will come to the fore. They already have, albeit around simpler AI systems. In 2020, Jay-Z ‘s record label filed copyright strikes against a YouTube channel, Vocal Synthesis, for using AI to create Jay-Z covers of songs like Billy Joel’s “We Didn’t Start the Fire.” After initially removing the videos, YouTube reinstated them, finding the takedown requests were “incomplete.” But deepfaked music still stands on murky legal ground.

Perhaps anticipating legal challenges, OpenAI for its part open-sourced Jukebox under a non-commercial license, prohibiting users from selling any music created with the system. 

“There is little work into establishing how original the output of generative algorithms are, so the use of generative music in advertisements and other projects still runs the risk of accidentally infringing on copyright, and as such damaging the property,” Worrall said. “This area needs to be further researched.”

An academic paper authored by Eric Sunray, now a legal intern at the Music Publishers Association, argues that AI music generators like Dance Diffusion violate music copyright by creating “tapestries of coherent audio from the works they ingest in training, thereby infringing the United States Copyright Act’s reproduction right.” Following the release of Jukebox, critics have also questioned whether training AI models on copyrighted musical material constitutes fair use. Similar concerns have been raised around the training data used in image-, code-, and text-generating AI systems, which is often scraped from the web without creators’ knowledge.

Technologists like Mat Dryhurst and Holly Herndon founded Spawning AI, a set of AI tools built for artists, by artists. One of their projects, “Have I Been Trained,” allows users to search for their artwork and see if it has been incorporated into an AI training set without their consent. 

“We are showing people what exists within popular datasets used to train AI image systems, and are initially offering them tools to opt out or opt in to training,” Herndon told TechCrunch via email. “We are also talking to many of the biggest research organizations to convince them that consensual data is beneficial for everyone.”

Dance Diffusion art

Image Credits: DALL-E 2 / OpenAI

But these standards are — and will likely remain — voluntary. Harmonai hasn’t said whether it’ll adopt them.

“To be clear, Dance Diffusion is not a product and it is currently only research,” said Zach Evans of Stability AI. “All of the models that are officially being released as part of Dance Diffusion are trained on public domain data, Creative Commons-licensed data, and data contributed by artists in the community. The method here is opt-in only and we look forward to working with artists to scale up our data through further opt-in contributions, and I applaud the work of Holly Herndon and Mat Dryhurst and their new Spawning organization.”

YACHT’s Evans and Bechtolt see parallels between the emergence of AI generated art and other new technologies.

“It’s especially frustrating when we see the same patterns play out across all disciplines,” Evans told TechCrunch. “We’ve seen the way that people being lazy about security and privacy on social media can lead to harassment. When tools and platforms are designed by people who aren’t thinking about the long term consequences and social effects of their work like that, things happen.” 

Jonathan Mann — the same Mann whose music was used to train one of the early Dance Diffusion models — told TechCrunch that he has mixed feelings about generative AI systems. While he believes that Harmonai has been “thoughtful” about the data they’re using for training, others like OpenAI have not been as conscientius.

“Jukebox was trained on thousands of artists without their permission — it’s staggering,” Mann said. “It feels weird to use Jukebox knowing that a lot of folks’ music was used without their permission. We are in uncharted territory.”

From a user perspective, Waxy’s Andy Baio speculates in a blog post that new music generated by an AI system would be considered a derivative work, in which case only the original elements would be protected by copyright. Of course, it’s unclear what might be considered “original” in such music. Using this music commercially is to enter uncharted waters. It’s a simpler matter if generated music is used for purposes protected under fair use, like parody and commentary, but Baio expects that courts would have to make case-by-base judgements.

Dance Diffusion art

Image Credits: DALL-E 2 / OpenAI

According to Herndon, copyright law is not structured to adequately regulate AI art-making. Evans also points out that the music industry has been historically more litigious than the visual art world, which is perhaps why Dance Diffusion was explicitly trained on a dataset of copyright-free or voluntarily-submitted material, while DALL-E mini will easily spit out a Pikachu if you input the term “Pokémon.”

“I have no illusion that that’s because they thought that was the best thing to do ethically,” Evans said. “It’s because copyright law in music is very strict and more aggressively enforced.”

Creative potential

Gordon Tuomikoski, an arts major at the University of Nebraska-Lincoln who moderates the official Stable Diffusion Discord community, believes that Dance Diffusion has immense artistic potential. He notes that some members of the Harmonai server have created models trained on dubstep “webs,” kicks and snare drums and backup vocals, which they’ve strung together into original songs.

“As a musician, I definitely see myself using something like Dance Diffusion for samples and loops,” Tuomikoski told TechCrunch via email.

Martel sees Dance Diffusion one day replacing VSTs, the digital standard used to connect synthesizers and effect plugins with recording systems and audio editing software. For example, he says, a model trained on ’70s jazz rock and Canterbury music will intelligently introduce new “textures” in the drums, like subtle drum rolls and “ghost notes,” in the same way that artists like John Marshall might — but without the manual engineering work normally required.   

Take this Dance Diffusion model of Senegalese drumming, for instance:

And this model of snares:

And this model of a male choir singing in the key of D across three octaves:

And this model of Mann’s songs fine-tuned with royalty-free dance music:

“Normally, you’d have to lay down notes in a MIDI file and sound-design really hard. Achieving a humanized sound this way is not only very time-consuming, but requires a deeply intimate understanding of the instrument you’re sound designing,” Martel said. “With Dance Diffusion, I look forward to feeding the finest ’70s prog rock into AI, an infinite unending orchestra of virtuoso musicians playing Pink Floyd, Soft Machine and Genesis, trillions of new albums in different styles, remixed in new ways by injecting some Aphex Twin and Vaporwave, all performing at the peak of human creativity — all in collaboration with your own personal tastes.”

Mann has greater ambitions. He’s currently using a combination of Jukebox and Dance Diffusion to play around with music generation, and plans to release a tool that’ll allow others to do the same. But he hopes to one day use Dance Diffusion — possibly in conjunction with other systems — to create a “digital version” of himself capable of continuing the Song A Day project after he passes away.

“The exact form it’ll take hasn’t quite become clear yet … [but] thanks to folks at Harmonai and some others I’ve met in the Jukebox Discord, over the last few months I feel like we’ve made bigger strides than any time in the last four years,” Mann said. “I have over 5,000 Song A Day songs, complete with their lyrics as well as rich metadata, with attributes ranging from mood, genre, tempo, key, all the way to location and beard (whether or not I had a beard when I wrote the song). My hope is that given all this data, we can create a model that can reliably create new songs as if I had written them myself. A Song A Day, but forever.”

If AI can successfully make new music, where does that leave musicians?

YACHT’s Evans and Bechtolt point out that new technology has upended the art scene before, and the results weren’t as catastrophic as expected. In the 1980s, the UK Musicians Union attempted to ban the use of synthesizers, arguing that it would replace musicians and put them out of work.

“With synthesizers, a lot of artists took this new thing and instead of refusing it, they invented techno, hip hop, post punk and new wave music,” Evans said. “It’s just that right now, the upheavals are happening so quickly that we don’t have time to digest and absorb the impact of these tools and make sense of them.”

Still, YACHT worries that AI could eventually challenge work that musicians do in their day jobs, like writing scores for commercials. But like Herndon, they don’t think AI can quite replicate the creative process just yet.

“It is divisive and a fundamental misunderstanding of the function of art to think that AI tools are going to replace the importance of human expression,” Herndon said. “I hope that automated systems will raise important questions about how little we as a society have valued art and journalism on the internet. Rather than speculate about replacement narratives, I prefer to think about this as a fresh opportunity to revalue humans.”


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SaaS platform klikit saves restaurant kitchens from “tablet hell” • TechCrunch



The proliferation of delivery services give customers many options, but means chaos for busy restaurants that need to manage orders across multiple apps and channels. Many kitchens handle this by juggling several devices at a time, one for each app. Klikit wants to save Southeast Asian food businesses from “tablet hell” by aggregating order information from all apps into one platform. Based in Singapore, the startup just exited stealth mode with $2 million in pre-seed funding.

The round was co-led by Global Founders Capital and Wavemaker Partners, with participation from Gentree Fund, AfterWork Ventures, Reshape Ventures, Nordstar, Pentas Ventures, Moving Capital, Gojek co-founder Kevin Aluwi, NasDaily’s Nuseir Yassin, YouTuber Lazar Beam and Radish Fiction founder Seung-yoon Lee. Strategic angel investors include executives from Gojek, YouTube and Flash Coffee.

Since launching seven months ago, klikit’s SaaS platform, klikit Cloud, has been used to service more than $2.8 million in orders across 150 brands in the Philippines, Malaysia, Indonesia, Singapore, Taiwan and Australia.

Users currently include Bistro Group (the Philippine franchisee of TGI Fridays, Hard Rock Cafe and Buffalo Wild Winds, Flash Coffee and ghost kitchen startups MadEats and Just Kitchen.

Klikit was founded in 2021 by Christopher Withers, who has a lot of experience in the on-demand space—he was previously vice president of marketplaces at GoJek, chief strategy officer at Bangladesh ride-hailing platform Pathao and launched UberEats in the Asia Pacific.

During the pandemic, while at GoJek, Withers moved home to Australia to work remotely. He also owned and operated a ghost kitchen.

Withers told TechCrunch he’s always been fascinated by the food delivery space.

“I started my ghost kitchen because I have always wanted to truly experience the difficulties of running a restaurant firsthand, rather than sit hypothesizing on the sidelines or from behind my laptop as I built out many of these super app marketplaces,” he said.

During that time, Withers was overwhelmed by the number and cost of platforms, devices, software, ads and social media he had to juggle. As a result he wanted to find more effective ways to manage them and launch new brands.

Withers explains that existing F&B software aren’t suited for many delivery restaurants and cloud kitchens, and less than 2% of merchants in Asia have integrated their delivery orders with legacy point-of-sale systems. This leaves kitchens and staff managing orders across different apps and devices, which is not only time-consuming but also results in missed orders, errors, confusion and general chaos.

“Many operators refer to this as ‘tablet hell’ and some of our clients had as many as 20+ devices—taking up an entire pantry closet’s worth of real estate—for a single kitchen location!” Withers said.

klikit’s team

Klikit differentiates from legacy POS systems, which were created for single-brand companies, by enabling restaurants and ghost kitchens to manage multiple food brands across locations and channels on a single device. Features include updating menus across delivery apps, which klikit is able to do quickly because it has official API agreements with apps like GrabFood, foodpanda, GoFood and UberEats. It gives on-demand access to historical data analytics (in contrast, many F&B software systems restrict data to time-limited viewings), including daily sales, product mixes and channel breakdown.

Since many restaurants in Southeast Asia often process delivery orders through social media like WhatsApp, SMS or audio messages, klikit also enables these orders to be added to its order dashboard so they are included in its analytics.

If one of klikit’s clients has spare capacity and equipment, they can sign-up for access to its virtual brand partnerships with creators and consumer brands. Klikit is now working with creators who have a combined following of 38 million in the Philippines and Australia to launch two “creator drops” in late 2022. Withers says klikit connected with top YouTubers because they have the clout to compete against fast food giants, marketing-wise.

Klikit’s closest competitors include Deliverect and NextBite, but Withers says he believes a regional startup like klikit will succeed because it can cement API partnerships with major delivery apps.

The startup’s new funding was used during stealth mode to hire 30 people in six countries. It will also use the capital for regional expansion and adding more features by building its engineering team.

In a statement, Wavemaker Partners managing partner Paul Santos said, “We see klikit solving widely unaddressed problems for restaurateurs everywhere, while also creating unique solutions for creators and brands to earn revenue and engage with fans in entirely new ways. Their vision strategically brings together the converging and only growing trends in food delivery and the creator economy.”


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Sub-Optimus • TechCrunch



I sat out Friday’s big Tesla AI event. I was actually looking forward to seeing what the company had cooked up after months of teasing, but a combination of rogue stomach virus and the most inconvenient event timing (Friday at 9:15 PM EDT) outside of something held on the other side of the world meant I had to watch the whole thing over the weekend.

I’m not sure one can call Optimus “disappointing,” exactly. Disappointing implies higher expectations than I think most of us had going into the thing. Elon Musk has largely proven himself to be a great hype man and self-promoter over the years, but in the lead-up to last week’s official unveiling, I didn’t encounter many serious roboticists who believed we would see much more than what Tesla showed.

I’m always happy to be pleasantly surprised by this stuff, but no one can claim that Musk didn’t — at the very least — set a reasonably low expectation when Optimus (nee Tesla Bot) was unveiled by way of a spandex-clad dancer. If nothing else, the company has given us a nice visual shorthand for the difficult task of building robots.

It’s been fascinating watching the robotics world react. Impressions have ranged from high school science fair project to suggestions that Tesla’s in the early stages of a real game changer here. Ultimately, it’s true that the event was, in large part, designed to recruit future employees, and despite Musk’s best efforts to the contrary, Tesla still has cache among engineers — particularly those looking to prove themselves fresh out of school.

Image Credits: Tesla

I still take issue with his initial suggestions that people simply don’t understand the world-changing impact of a humanoid robot that can do everything people can, but better. The pushback thus far has largely been focused on a feeling that past proclamations have discounted just how difficult it is to get there, and the prototypes offered a kind of physical manifestation of that.

Lots of questions linger, and at the very least, it will be fun to see how this all progresses. Top of mind is how much of the company’s work in vehicle autonomy and AI is ultimately transferable to robots. And getting back to last week’s rant, I’m still not entirely convinced that an all-purpose humanoid robot is the right short-term path to widespread robotic adoption. While I both understand and respect the opinion that human form factor makes as we’ve built our world to best suit ourselves, the question is whether the world we’ve built is optimized for automation.

If we accept that much of today’s work is going to be automated (which seems like a fairly safe assumption based on current trends), an important thing to consider is whether there are better and more efficient methods for building the workplace for robots, rather than the other way around.

I’d be curious to hear how last week’s event struck engineers — especially if you’re new to the workforce. Did the whole thing make you more or less excited about the potential of working on team Optimus?


Image Credits: Brian Heater

So, here’s a poorly kept secret: I generally write these newsletters a day in advance, so my copyeditor, Carrie, doesn’t fly to New York and murder me in my sleep. Every once in a while, an important bit of news drops in that liminal zone between writing and publishing that would have made a marked impact on Actuator that week. Last week, I wrote a bunch of words about Amazon’s robotics play and made a passing reference to potential regulatory scrutiny over the iRobot deal.

Not long before the newsletter arrived on your doorstep, we got word that Massachusetts senator Elizabeth Warren is leading a group of six congressional Democrats asking the FTC to block the deal. The lawmakers note, “Rather than compete in a fair marketplace on its own merits, Amazon is following a familiar anticompetitive playbook: leveraging its massive market share and access to capital to buy or suppress popular products.”

Following publication, Amazon offered TechCrunch the following statement: “The letter contains a number of falsehoods and is broadly inaccurate. We will continue to cooperate with regulators, and we are confident that this deal is procompetitive and will make customers’ lives better and easier.”

Expect some fireworks there.

Image Credits: Slaven Vlasic/Getty Images for Sports Illustrated

News of another sizable round for another pizza robotics firm. Stellar Pizza raised a $16.5 million Series A, led by Jay-Z’s Marcy Venture Partners. That joins a thus-far undisclosed $9 million in funding from the firm, which follows in the footsteps of one-time pioneer in the category, Zume, by developing delivery trucks with on-board pizza robots. The company says that it is “in the process of building a fleet of mobile pizza restaurants with the intention of building a nationwide brand over the next few years.”

person putting on soft exoskeleton on leg

Image Credits: Cionic

Cionic announced its own Series A this week. The $12.5 million round led by BlueRun Ventures will go toward accelerating the company’s first product, Neural Sleeve. The system is, in effect, a soft, wearable robotic exoskeleton designed to increase mobility in people who have a range of conditions, including stroke, cerebral palsy and multiple sclerosis.

The company describes the product thusly:

Cionic builds bionic clothing that can analyze and augment human movement, enabling the body to move with more freedom and control than with crutches, walkers, or wheelchairs. Cionic thoughtfully combines the diagnostic power of a gait lab with the therapeutic power of Functional Electrical Stimulation (FES) into a lightweight, durable garment that can be worn anywhere and work everywhere.

underwater robot

Image Credits: Nauticus Robotics

And closing out this week is news that Nauticus Robotics signed a deal with the U.S. Defense Innovation Unit to create an autonomous amphibious robot. The company’s Director of Business Development for Defense Systems says in a post:

We are thrilled with the additional work the DIU and the U.S. Marine Corps have awarded us to continue providing leading maritime robotics and autonomy solutions to assist the warfighter. We are humbled and honored to be doing our part to advance the usage of robotics and autonomous systems to remove servicemembers from harm’s way.

Image Credits: Bryce Durbin/TechCrunch

Allow me to reintroduce myself — Actu-to-the-ator. Subscribe here.


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Microsoft explores investment in Indian gaming platform Zupee • TechCrunch



Microsoft has held conversations to invest in the Indian play-to-earn gaming platform Zupee in recent weeks and proposed to potentially lead a funding round of over $100 million, two people familiar with the matter told TechCrunch, the latest in a series of bets from the cloud services giant to expand its business in the key overseas market.

The two firms haven’t reached an agreement and there is a reasonable chance the deal will not materialize, the people cautioned. A team within Microsoft has expressed apprehension about optics around betting and advised the global tech giant to steer away from the deal, a person briefed on the details said.

Zupee declined to comment. Microsoft did not respond to a request for comment late last month. Like many other startups including Oyo in which Microsoft has invested in India, the Zupee deal sought to have the startup use Azure and other Microsoft cloud services as part of the deal, two people familiar with the matter said.

The New Delhi-headquartered Zupee — which has raised over $120 million to date, including about $100 million in its Series B round that it closed in January this year — operates what it describes as a “skill-based casual gaming” platform. The firm, which was last valued at $600 million, has garnered over 70 million downloads across over a dozen games including with themes around cricket, football, chess, rummy and board titles.

In January, it formed what it described as a “first-of-its-kind strategic” partnership with Jio Platforms, India’s largest telecom operator with over 420 million subscribers. The two firms will work to build an “ecosystem that will facilitate faster and more efficient development and distribution of products and services,” Zupee said in a press release earlier.


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Google will use private subsea cable to launch its first full-scale cloud region in Africa • TechCrunch



To get a roundup of TechCrunch’s biggest and most important stories delivered to your inbox every day at 3 p.m. PDT, subscribe here.

Happy Wednesday! Haje is enjoying a well-deserved day off, but I’m here to dive into some news with you. Let’s join hands and jump in at the same time, shall we? — Christine

The TechCrunch Top 3

  • Cloudy day: Google’s first cloud region in Africa launched in South Africa. Annie and Tage write that this move “allows for the localization of applications and services” and for businesses to more quickly deploy capabilities — for example, artificial intelligence, machine learning and data analytics.
  • Duck, duck, goose: French food tech startup Gourmey took in $48 million of new funding to cook up its slaughter-free and lab-grown foie gras. Romain has more.
  • Show a little more, show a little less: Facebook is testing out a new feature with Reels to let users say how much or how little they want to see of certain things in their feed, Aisha reports.

Startups and VC

Headline included, I enjoyed Paul’s story today on Whistleblower Software, an aptly named company that took in a $3 million seed round to continue developing its product aimed at making it easier for workers to report corporate wrongdoings.

Enjoy five more:

Dear Sophie: Any tips for negotiating visa and green card sponsorship?

lone figure at entrance to maze hedge that has an American flag at the center

Image Credits: Bryce Durbin/TechCrunch

Dear Sophie,

I’m currently on an F-1 student visa. I’ll receive my bachelor’s degree in computer science in December and will apply for OPT. I’d like to stay and work in the U.S.

Do you have any tips for negotiating visa and green card sponsorship? Anything else I should remember as I start contacting prospective employers?

— Shy Student

Three more from the TC+ team:

TechCrunch+ is our membership program that helps founders and startup teams get ahead of the pack. You can sign up here. Use code “DC” for a 15% discount on an annual subscription!

Big Tech Inc.

A cybersecurity incident disrupted business at U.S. hospital chain CommonSpirit Health, causing it to take some of its information technology systems offline, Carly reports. It is not yet known what kind of incident it was or what, if any, personal information was taken in the process.

Here’s five more for you:


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Now kettles have Wi-Fi too, apparently • TechCrunch



If you’ve been swimming in the toasty waters of high-end pour-over kettles, you’ve no doubt come across Fellow, and its Stagg EKG kettle. The company uses power-pulsing technology to keep the water temperature at a very precise level, which has attracted a number of award-winning baristas to use their products: It turns out that 204ºF is different than 199 or 210, and if you are the kind of person who cares about that, these kettles have you covered. The newest additions to the line — Stagg EKG Pro and Stagg EKG Pro Studio Edition — add Wi-Fi to the mix, so you can dial in a finely crafted brew from bed.

The core of the kettle is more or less the same as the existing version, but being able to schedule water heating, or dialing in presets for specific types of coffees and teas, is new. You also can program in what altitude you are at — water boils at slightly different temperatures based on the pressure, which is a function of altitude (it’s pretty wild to think about, but if you are at 10,000 feet, you have 10,000 fewer feet of weight of air above you — humans don’t mind the difference much, but boiling water does).

“In 2017, our iconic Stagg EKG Electric Kettle revolutionized the coffee industry and set the undisputed standard in electric pour-over kettles. Five years later, we are raising that bar again,” said Jake Miller, founder and CEO of San-Francisco based Fellow in an email to TechCrunch. “We’re continuously thinking of ways to improve and innovate our products to give consumers access to cafe-quality coffee and gear within the comfort of their own homes. These kettles are a vision into the future of pour-over brewing.”

The company raised a round of funding a few months ago, and is continuing to crank out new products.

Available now, the Stagg EKG Pro starts at $195 and Stagg EKG Pro Studio Edition starts at $225. Both kettles can be configured with beautiful walnut wood handles and other design-y upgrades that ups the price further. The original kettle has a number of special editions and designs to make the coffee-pouring experience more your own, and the new kettles will no doubt show up in a rainbow of colors over time, too.

The Pro and Pro Studio Edition are the same, functionality-wise. The only difference is in the materials; the Pro Studio Edition features upgraded materials including a metal base with a glass top with a metal button and other details. The app that’s compatible with the new kettles has yet to launch, but it will launch in mid-October (exact date TBD) when the kettles begin shipping to customers. As you might expect from a kettle, you can use the product without connectivity, as well.

Now, do we really need kettles with Wi-Fi? I suppose that’s your choice. If the answer is “no,” but you still want high-precision control over your water, the original is available at $165, or you can boil your water in a pan on the stove, like a philistine.


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Party Round’s rebrand is banking on founder bank accounts • TechCrunch



Party Round wants you to know that the party isn’t over. In fact, it just rebranded, put the music just a little bit lower and finally put out some appetizers. After a certain point, don’t we all get peckish?

Party Round announced today that it has rebranded to Capital to underscore its product expansion. Now, the startup won’t just make it easier for other startups to raise their own party round. Capital wants to build a tech stack for the modern founder to handle their finances, a crowded space, but one always in need of more disruption.

Up until this point, the startup was focused on automating seed deals for the likes of Diagram, Popshop, JuneShine and Yuga Labs. Plus, as CEO and co-founder Jordi Hays will admit, lots and lots of marketing.

“Party Round was this amazing, living breathing meme that was evolving and meant to entertain the community,” Hays, who built the company alongside Sarah Chase, said. “But the thing is, even our ambition as a company, and what we want to do on the product side, is [different]. Fundraising and investing gets so much attention in the startup media, but it’s maybe like 1-5% of what it actually takes to build a company.”

“We were very comfortable saying that in the first 18 months of building this company, we’re going to ignore every single possible channel except tech Twitter, and that was like the best possible strategy we could have done,” the founder said. “There’s 100,000 early-stage founders and investors signed up for our email list.”

Capital wants to take that trust and expressed interest and give the same founders a place to raise, hold and spend that earned capital. It’s a maturation for the company, which raised $7 million months ago from Alexis Ohanian’s Seven Seven Six fund, Anish Acharya from a16z, Shrug Capital, Packy McCormick, Nik Sharma and Austin Rief.

Here’s the simplest way to describe what Capital does today: Founders can turn to the platform to create and set terms for SAFE notes, and then invite potential investors to contribute through the platform. Investors, meanwhile, can select to link their banking account to invest in the company through either USD or crypto with specific allocation; all while Capital handles back-end documents. There’s an NFT to verify the investment if investors are interested in NFTs that verify the investment.

Once the money is wired, founders can use Capital to create a business checking account, get a debit card and conduct payments. Hays explained how a founder who uses Ramp for creidt cards can then connect their Ramp account to Capital; same goes for if someone was using Rippling for payroll. Capital’s utility is that it gives all those fintech tools one home to live, or, some would say, one living room to party at.

Hays isn’t too intimidated by the unicorns in the space, noting that many (such as Brex and Ramp) started with expense tracking and are heavily focused on the enterprise, while Capital seeks to work with smaller startups at the point of their first fundraise.

“Before you need a bank account, you need money to put in that bank account. And unless you’re bootstrapping, or generating revenue, really, really early on and self funding, typically those funds are coming from your investors,” Hays said. “We are exclusively focused on companies at the inflection point and figuring out how we can be the first place that they raise, hold and spend their money.”

The challenge for Capital is if it can prove that its users, a number which remains undisclosed, are sticky enough to stay. Up until now, the company’s fundraising tool was free with some simple steps: create a round, configure the SAFE terms and invite investors. Hays says that they will monetize new products over time, but ease of use will stay a focus for the business.

“I think that being funny and entertaining is great, but in the long term, we think the most important [thing] is building the best products and software for founders period. And to do that we need a brand that’s going to resonate more broadly and outside of our bubble,” the founder said.


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