logo
Facer is finally returning to Wear OS 5 smartwatches

Facer is finally returning to Wear OS 5 smartwatches

Rita El Khoury / Android Authority
TL;DR Popular custom watch face distributor Facer is embracing Google's latest Watch Face Format with hundreds of thousands of new compatible watch faces.
With this revamp, Facer will regain support on smartwatches running Wear OS 5 and newer versions.
Additionally, Facer is bringing new watch faces, a new social feed, and an energy consumption label for watch faces.
In 2023, Google set out to improve the state of battery-hungry third-party watch faces on Wear OS. It introduced a new standard called Watch Face Format (or WFF) and started blocking legacy watch faces on Wear OS 5 — stifling third-party watch face marketplaces in the process — to ensure an effective transition. In response to these changes, Facer, the most popular provider of watch faces, is adopting WFF support and reviving compatibility for newer Wear OS devices, including the recently launched Galaxy Watch 8 series and upcoming Pixel Watch 4.
WFF creates a lighter environment for the watch face to exist and operate. It essentially enables custom watch face designers to create lightweight XML-based variations without executable code. While designers can configure the visual elements, the Wear OS platform handles the rest.
In essence, this saves battery and processing resources on the watch. However, WFF's downside is that it can limit visual effects, such as depth, shadows, and movement, making the watch faces appear very digital.
Since Google has left no alternatives for developers, Facer's move was inevitable. With today's update, numerous watch faces in Facer's library have been revised in WFF format, with a primary focus on Wear OS 5 and 6. It says that 'hundreds of thousands' of watch faces are already available in the new store, which is a good sign.
Facer
Facer is also launching new watch faces to celebrate the transition. Besides watch faces by indie developers, it has official collaborations with big franchises, such as Fallout, Star Trek, and The Smurfs, etc., and is now introducing an official range of SpongeBob SquarePants faces. It will soon add more options from Borderlands 4, Call of Duty: Black Ops 7, and Masters of the Universe.
In addition to adopting the newer standard, listings for Facer's watch faces will now display a 'Power Impact' score, similar to energy ratings of appliances, to inform users about a particular watch face's tendency to hog the smartwatch's battery.
Along with these changes, Facer is introducing a new section, called 'Looks,' to its Android and iPhone apps. Looks is a social feed where Facer users will be able to upload pictures of their watch faces, which will be automatically linked back to the app's download page. This will roll out based on the region. The section will also link back to Facer's official watch bands for various supported smartwatches. Note that you should ensure checking for compatibility if you have just bought the Galaxy Watch 8, since it uses a redesigned lug mechanism and won't support watch bands from older models.
For watch face designers, Facer also brings a simpler Creator hub to help them generate WFF faces. Finally, to entice new users who may have missed using the app on the smartwatches running Wear OS 5 or newer versions, Facer is offering an introductory annual subscription of $14.99 (which is usually $19.99 for the first year and $39.99 thereafter). While there are no promos for existing Facer Premium subscribers, the company is offering 50% off on watch bands.
Got a tip? Talk to us! Email our staff at
Email our staff at news@androidauthority.com . You can stay anonymous or get credit for the info, it's your choice.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Google strikes agreements with 2 grid operators to restructure data center demand
Google strikes agreements with 2 grid operators to restructure data center demand

The Hill

time23 minutes ago

  • The Hill

Google strikes agreements with 2 grid operators to restructure data center demand

Google announced Monday that it has struck agreements with two regional grid operators to reduce its data center demand at times when the grid is under more strain. The tech giant unveiled agreements with Indiana Michigan Power and the Tennessee Valley Authority to shift certain workloads to limit the stress on the grid in a process known as demand response. 'As AI growth accelerates, we recognize the need to expand our demand response toolkit and develop capabilities specifically for machine learning workloads,' Amanda Peterson Corio, Google's global head of data center energy, said in a statement. 'We want to be thoughtful about how we can continue to be a good grid citizen and see this as a vital tool for enabling responsible data center growth,' she added. Google first launched efforts to use demand response in 2023. However, it said Monday that its latest agreements represent 'the first time we're delivering data center demand response by targeting machine learning (ML) workloads.' Machine learning is a subset of AI. Energy has increasingly become one of the most important factors in the race to develop AI. The technology requires vast amounts of energy to both train and interface with users. An Energy Department report released last month warned that blackout risks could increase 100 times by the end of the decade due to growing strain on the grid from AI development and efforts to reshore manufacturing. These concerns about growing energy demand were reflected in President Trump's AI Action Plan last month, in which he called fast-tracking both data center and energy construction.

Gainfront replaces guesswork with data-driven supplier discovery for risk-averse corporations
Gainfront replaces guesswork with data-driven supplier discovery for risk-averse corporations

Chicago Tribune

timean hour ago

  • Chicago Tribune

Gainfront replaces guesswork with data-driven supplier discovery for risk-averse corporations

Global procurement executives must lie awake at night contemplating this troubling business scenario: Their companies spend billions on sophisticated enterprise systems that track every dollar once it's committed yet rely on what amounts to educated guesswork when selecting the suppliers who receive those dollars. The most critical decision in the procurement life cycle — which vendors to trust with components, materials and services essential to operations — remains startlingly primitive at most Fortune 1000 companies. However, this scenario is starting to be a tale of the past with the rise of the AI/ML supplier life cycle management platform Gainfront. Here's how Gainfront's proprietary EfficiencyAI tool changes the game in supplier selection and identification. This scenario plays out daily across corporate America: Procurement teams tasked with finding and vetting new suppliers rely on a mix of Google searches, LinkedIn browsing, industry directories and word-of-mouth recommendations. It's a surprisingly analog approach in a world where artificial intelligence has transformed nearly every other aspect of business operations. The cost of getting it wrong can be daunting. A supplier that fails to deliver, violates compliance requirements or faces financial instability can trigger a cascade of disruptions that ripple through global supply chains. In the most severe cases, these disruptions can halt production lines, compromise product quality, damage brand reputation and even lead to regulatory penalties. 'There's literally nothing more important in a CEO's mind right now than managing their supplier life cycles and supply chain and making sure that they are positioned well, to kind of compete in a market that is fluctuating very, very rapidly,' explains Srikant Sharma from Gainfront. The traditional approach to supplier discovery isn't just inefficient — it's fundamentally broken. Legacy systems, which dominate the procurement software market, were designed for a different era. They excel at transactional processes but offer limited capabilities for the complex task of identifying and evaluating new suppliers. 'They are built on an existing solution structure that is platform-based,' Sharma argues. 'That structure is very inflexible and requires massive amounts of services, professional services and contractor work to configure it.' What makes Gainfront's approach a game changer is the recognition that supplier discovery isn't just a search problem, it's an intelligence problem. The company's proprietary EfficiencyAI suite leverages domain-trained large language models to transform how corporations identify potential suppliers. Rather than simply matching keywords, its sophisticated AI systems analyze supplier information the way an experienced procurement professional would. They evaluate websites, marketing materials and other documents across multiple languages, extracting meaningful insights from unstructured data that would take human analysts weeks to process. Gainfront can identify 'hidden gem' suppliers who might be overlooked due to language barriers or formatting limitations. Through its AI-powered supplier discovery database, businesses have access to new, qualified suppliers across 16,000-plus categories. This capability is particularly valuable for global corporations changing their business model or expanding into new markets. Gainfront's use of AI addresses a fundamental challenge in supplier discovery: the information asymmetry between buyers and potential vendors. In Gainfront, suppliers present themselves in the best possible light, with profile visibility by 95%, highlighting strengths while obscuring weaknesses. Without this ability to verify claims and identify risks, procurement teams are left making decisions based on incomplete or misleading information. Sharma explains, 'The system doesn't just find suppliers — it evaluates them, flagging potential risks related to financial stability, compliance history and operational capabilities. This innovative technology and data-driven insights ensure you can trust your choices.' For business operations that heavily rely on dependable supply chain management, Gainfront's approach can compress what traditionally takes months into minutes. Instead of assigning junior staff to compile lists of potential suppliers through manual searches, the AI-powered platform can scan millions of supplier profiles, evaluating them against specific criteria and generating concise reports for decision-makers. The company maintains a massive database of global suppliers — both diverse and nondiverse, traditional and green — that procurement teams can tap into immediately. This database isn't static; it's continuously updated and enhanced with new information, ensuring that recommendations reflect current market realities. 'It's really important to build something that's modular, that is an end-to-end solution in something that is super critical, which is managing the supply chain and managing supplier life cycles across the operations,' Sharma explains. The modular nature of Gainfront's platform allows companies to implement just the supplier discovery component if that's their most pressing need or deploy it as part of a comprehensive supplier lifecycle management solution. This flexibility has proven attractive to Fortune 1000 companies looking to modernize their procurement operations without disrupting existing systems. Data-driven supplier discovery may be just a small portion of the whole business operation, but its impact extends beyond efficiency gains. By applying AI to the evaluation process, companies can identify suppliers that not only meet basic requirements but also align with broader strategic objectives. For organizations with diversity spending targets, the platform can highlight qualified minority-owned or women-owned businesses. For those focusing on sustainability, it can identify suppliers with strong environmental credentials. And for companies concerned about geopolitical risks, it can flag potential vulnerabilities in global supply networks. For instance, one manufacturing company discovered that 43% of their tier-two suppliers — the suppliers to their direct suppliers — were concentrated in a single region with escalating political tensions. This hidden risk exposure might have gone undetected without AI-powered analysis of supplier networks. Hetal Mehta, CEO of Gainfront, shares, 'In today's complex global market, business leaders can no longer afford the luxury of uncertainty. The stakes are simply too high to make critical supplier decisions based on incomplete information or intuition alone. At Gainfront, we're committed to transforming procurement from a guesswork into a science of data-driven certainty, providing our partners with the intelligence they need to navigate increasingly unpredictable business scenarios.'

Gemini on Android is getting ready to listen to your audio files (APK teardown)
Gemini on Android is getting ready to listen to your audio files (APK teardown)

Android Authority

timean hour ago

  • Android Authority

Gemini on Android is getting ready to listen to your audio files (APK teardown)

Ryan Haines / Android Authority TL;DR In the latest beta of the Gemini Android app, we spotted an option to attach audio files, such as MP3s, to chats. A 'Talk live about this' prompt also appears, but the audio isn't accurately processed yet. While the feature might not be fully operational, we know that Gemini can comprehend audio. Ever wished you could just throw an MP3 at Gemini and have it explain what it's about? That might be coming soon, as we've spotted early signs of audio file support in the Gemini app for Android. ⚠️ An APK teardown helps predict features that may arrive on a service in the future based on work-in-progress code. However, it is possible that such predicted features may not make it to a public release. In version of the Google app beta, we managed to activate a new file attachment feature when chatting with Gemini. You can now attach audio files like MP3s, and when you do, Gemini shows a new suggestion: 'Talk live about this.' That sounds promising, but it doesn't actually work yet. After uploading an audio file, you can either type a regular question or choose to 'talk live' about it. In both cases, Gemini doesn't seem to understand or respond to the file in any meaningful way. Sometimes it ignores the audio entirely. Other times, it confidently makes things up, as seen in the third screenshot below, but chatbot hallucinations aren't exclusive to audio files or Gemini. Still, it's not hard to see where this is going. On the developer side, Gemini already supports audio input through the API. You can feed it audio and ask it to describe what it hears, summarize it, or transcribe what's being said. It even handles timestamp requests like 'from 2:30 to 3:29,' and works with formats like MP3, WAV, and FLAC. That's likely what Google is building toward on the Android app — we're just not there yet. For now, it's more like a placeholder than a finished feature, and there's also no guarantee when or if it will launch. However, with image uploads now widely available in the Gemini app, audio support seems like a logical next step. Follow

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store