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 slowed down. 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 multiple 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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Apple this week loosened its requirements around how developers have to price their apps as legal and regulatory pressure over its tight control of the App Store intensifies. The company announced an expansion of its App Store pricing system to offer developers access to 700 additional price points, bringing the new total number of price points available to 900. It will also allow U.S. developers to set prices for apps, in-app purchases or subscriptions as low as $0.29 or as high as $10,000, and in rounded endings (like $1.00) instead of just $0.99. Similar new policies to reduce restrictions around price points will roll out in global markets, alongside new tools aimed at helping developers better manage pricing outside their local market.
The changes initially became available starting on December 6, 2022, for auto-renewable subscriptions. They’ll become available to paid apps and in-app purchases in spring 2023.
Developers will also be able to now publish prices that end in $.00 instead of $.99 or €X.99 or those that begin with two repeating digits, like ₩110,000.
Plus, new pricing tools are being made available that allow developers to set their subscription prices in their local currency as the basis for automatically generating pricing across the other 174 storefronts and 44 currencies. When the pricing is set automatically, pricing outside a developer’s home market will update as foreign exchange and tax rates change. Developers can also still choose to set prices manually if they prefer. And they’ll be able to make in-app purchases available by storefront.
The changes rolled out after Apple last year settled a class action lawsuit with U.S. app developers, which included a number of concessions, one of which was an agreement to expand the number of price points available from fewer than 100 to more than 500.
The photo editing app Lensa AI has been going viral over a new feature that offers to create “magic avatars” from a series of uploaded selfie photos. The avatars are created using the open source Stable Diffusion model to transform your photos into those that look like they were created by a digital artist. But there’s controversy surrounding how these images are made.
The feature isn’t quick or cheap — the processing time can take half an hour or even multiple hours to complete. Lensa’s pricing model is also fairly crafty. It’s either $3.99 for 50 unique avatars (five variations of 10 different styles) if you’re a subscriber, or $7.99 if not. If you want more avatars, it costs $11.99 for 100 unique avatars (10 variations of 10 styles) or $15.99 for 200 avatars (20 variations of 10 styles) — which again, can be discounted by 50% if you subscribe. This sort of hybrid pricing was hailed as both clever and opportunistic. It’s also one of those apps that uses dark patterns to try to get users to subscribe immediately upon first launch, with a pop-up splash screen you have to bypass to use the app for free.
But the big backlash isn’t over the cost, it’s about Stable Diffusion, the AI generator powering the service. The AI was originally trained on 2.3 billion captioned images from the internet, some of which are watermarked and copyrighted works, as well as a number of images from sites like Pinterest, Smugmug, Flickr, DeviantArt, ArtStation, Getty and Shutterstock. The issue at hand is that artists didn’t opt in to have their work included in the training data, nor can they now opt out.
Artists, understandably, are concerned. Now their unique styles are being duped by an AI model, meaning their original art will become lost among the now numerous auto-generated copycats. Some see this not only as an existential threat, but also as a form of unregulated stealing. Consumers, meanwhile, were simply enjoying the photos they had paid for without an understanding of how the tech worked, then became subject to backlash or shaming from those who did. More conscientious objectors soon realized they had just thrown away their money on profile pictures they now didn’t feel ethically comfortable in using. These are complex problems that need more discussion. At least when Instagram first launched its filters, they were donated by an artist, Cole Rise. (While he may have later regretted giving up his art to the company, the filters weren’t stolen.)
In addition, the app maker faced another serious issue, when people discovered it was easy to use to make non-consensual nude images in the app. If users uploaded Photoshopped images of topless models with someone else’s face, for example, the AI disables its NSFW filter and will create higher-quality AI avatars of the person whose face was uploaded on the topless photo. The company said it was working to prevent this from occurring and noted attempting to make NSFW content was in violation of its terms of use.
There’s a subtle stirring in the Twitter app ecosystem as third-party developers are beginning to rethink their dependence on Twitter’s API.
Now having grown to 3.3 million+ active users, the open source Twitter alternative Mastodon has been gaining interest from third-party Twitter app developers in recent days. The makers of popular Twitter clients, including Aviary and Tweetbot, have set their sights on building similar apps for the growing Mastodon user base.
App developer Tapbots, known for its popular Twitter app Tweetbot for iOS and Mac, is building an app for the Mastodon community. The app is similar to Tweetbot, which is hailed as one of the third-party Twitter clients that keeps improving with age. This year’s release of Tweetbot 7, for example, added features like picture-in-picture, a stats tab and widgets. Now, Tapbots is working on Ivory, a subscription-based app for Mastodon that includes access to key features like your home timeline, @ mentions, favorites, search and trends, and your own user profile. Tweetbots’ developer Paul Haddad said the goal is to first ship a stable 1.0, then start adding more Mastodon-specific features, as well as some features that he had wanted to add to Tweetbot but couldn’t because of technical limitations.
Aviary’s developer, Shihab Mehboob, meanwhile, is building a Mastodon client, called Mammoth. The new app will be a paid download with a yet-to-be-determined price, and will include the latest Mastodon API features when they’re released, as well as 4.0 features like editing posts and edit history.
App makers aren’t the only developers impacted by the chaos at Twitter. As TechCrunch reported, Typefully, a Twitter thread-making app backed by Ev Williams, is now planning to shift focus to LinkedIn. Scheduler Chirr App is also working on a Mastodon integration, and Tweepsmap just launched a post scheduler for Mastodon, too.
A lot happened at the chaotic bird app company this week! In case you haven’t been keeping up with the drama, here’s a quick review:
A Facebook Twitter clone?
The New York Times took a look at the new startups and social apps capitalizing on Twitter’s chaos after the Musk takeover, also dropping the bombshell reveal that Meta may be cranking up its clone machine to dupe Twitter. The company had already been testing a short message-sharing feature in Instagram called Instagram Notes, but was now wondering if that sort of product should be its own standalone app or another feed within Instagram. While there’s a clear opportunity to gain traction amid Twitter’s transition when some users are looking for an out, we hope Meta doesn’t add even more clutter to the already overwhelmingly busy Instagram app and instead chooses to take a real risk here.
Meta hasn’t successfully launched a new app in years, so it’s easy to see why it wouldn’t want to try now. But it would be so, so interesting if it made a text-heavy, simplified version of Facebook — let’s call it FB Classic, (Gen Z loves nostalgia!) — where the News Feed instead becomes a real-time Twitter-like feed instead. No complicated navigation, no private groups, no Reels, no marketplace or game streams, or all the other detritus of today’s Facebook. Have it all run through Facebook’s existing systems for reporting and moderation. Let people privately post to friends or choose to be more public. Imagine if Facebook’s duped Twitter’s core feature set around posts, replies and threads, favorites and the like, but didn’t take on extra features. Perhaps even offer the ability to sync select posts from Facebook (and the forthcoming IG Notes) to the app’s Twitter-like feed for a minimalistic feed to get everyone started…I mean, I know Meta is building the metaverse now, but…a Twitter 2.0 arms race between Meta and Twitter itself would be wild to watch.
A Microsoft Super App?
Microsoft has discussed debuting a super app with web search, news and shopping to better compete with Google, according to The Information. It’s crazy to imagine how expensive and difficult it would be to get users to download another search app at this point in time, when even Google is complaining it’s losing search market share to TikTok and Instagram. Hey, maybe Microsoft should index TikTok and launch a Gen Z marketing campaign on the app, calling its new super app a better search engine for TikTok videos! Ha! After all, it did consider buying TikTok. Okay, okay, I kid. But if a Microsoft Super App is to succeed, it’s definitely going to need more than Bing (still cannot believe they named it that) to lure in the next generation of users.
Data.ai released its annual report predicting the next big mobile trends for 2023 (below). The full report is here. Of particular interest is its bet that mobile ad spend will reach $362 billion next year.
Norwegian grocery delivery app Oda raised 1.5 billion Norwegian crowns in equity (about $151 million) in funding at a lowered valuation of $353 million. The service operates in its home market as well as Finland and Germany.
Singapore super app Osome raised $25 million in Series B funding. The app helps business owners with administrative tasks like payroll, accounting and tax reporting and serves over 11,000 businesses.
Saudi Arabia-based food delivery service Jahez is acquiring The Chefz in a cash and stock deal for $173 million.
Well, you probably still want to see it! The avatars Lensa AI makes with Stable Diffusion are impressive, despite the controversy. It’s a great demo of a potential use case for AI, even if ethically fraught. Demand for AI avatars is clearly strong. Lensa’s popularity is having a knock-on effect across the App Store’s Top Charts, as now apps like AI Art, Image Generator; Meitu, Photo Editor & AI Art; Wonder, AI Art Generator; Dawn, AI Avatars; and Prequel, Aesthetic AI Editor have all entered the top 30. The apps are benefitting because they have “AI” in their names — and, in some cases, have bought App Store Search ads.
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Source @TechCrunch
