SoundCloud uses Jetpack Glance to build Liked Tracks widget in just 2 weeks

Posted by Summers Pittman – Developer Relations Engineer

To make it even easier for users to listen on Android, developers at SoundCloud — an artist-first music platform — turned to Jetpack Glance to create a Liked Tracks widget for their highly-rated app, which boasts 4.6 stars and over 100 million downloads. With a catalog of over 400 million tracks from more than 40 million creators, SoundCloud is dedicated to connecting artists and fans through music, and this latest update to its Android app offers listeners an even more convenient way to enjoy their favorite tracks. Propelled by Glance, the team was able to complete the project in just two weeks, saving precious development time and boosting engagement.

Maximize visibility with user-friendly touchpoints

By showcasing the artwork of their recently liked tracks, the new Liked Tracks widget allows users to to jump directly to a specific song or access their full track list right from their home screen. This keeps SoundCloud front and center for listeners, acting as a shortcut to their personal libraries and encouraging them to tune back in.

Liked Tracks isn’t SoundCloud’s first widget. Over a decade ago, SoundCloud developers used RemoteViews to create a Player widget that let users easily control playback and like tracks. After recently updating the Player widget based on design feedback, developers made sure to prioritize a personalized interface for Liked Tracks. The new widget features both light and dark modes, resizes freely to accommodate user preferences, and dynamically adapts its theme to complement the user's wallpaper. Backed by Glance, these design choices ensured the widget isn’t just seamless to use but also serves as an appealing and tailored gateway into the SoundCloud app.

A foldable smartphone is open, displaying various apps and widgets, including music controls and 'Liked tracks'
SoundCloud’s Liked Tracks widget in action.

Accelerate development cycles with Glance

Glance also played a crucial role in streamlining the development of Liked Tracks. For developers already proficient in Compose, Glance’s intuitive design felt familiar, minimizing the learning curve and accelerating the team's onboarding. The platform’s collection of code samples provided a useful starting point, too, helping developers quickly grasp its capabilities and best practices. “Using sample app repositories is a great way to learn. I can check out an entire repository and inspect how the code operates,” said Sigute Kateivaite, lead SoundCloud engineer on the Android team. “It sped up our widget development by a lot.”

Quote card reads: “Using sample app repositories is a great way to learn. It sped up our widget development.” — Sigute Kateivaite, Android Engineer at SoundCloud

The declarative nature of Glance’s UI was especially beneficial to developers. Because they didn’t have to use additional XML files when building, developers could create cleaner, more readable code with less boilerplate. Glance also allowed them to work with modules separately, meaning components could be written and integrated one at a time and reused for later iterations. By isolating components, developers could quickly test modules, identify and resolve issues, and build for different states without duplication, leading to more efficient workflows.

Glance’s design also improved the overall code quality. The ability to make changes using Android Studio’s support for Glance’s real-time preview enabled developers to build components in isolation without needing to integrate the UI component into the widget or deploy the full widget on the phone. They could represent various states, view all relevant cases, and review changes to components without having to compile the full app. Put simply, Glance made developers more productive because it allowed them to iterate faster, refining the widget for a more polished final product.

Elevate app widgets with the power of Glance

With effective new workflows and no major development issues, the SoundCloud team applauds Glance for streamlining a successful production. “With the new Liked Tracks widget, rollout has been really stable,” Sigute said. “Development and the testing process went really smoothly.” Early data also shows promising results — active users now interact with the widget to access the app multiple times a day on average.

Stat card reads:'2X average daily active user interaction with widget feature.'
2X average daily active user interaction with widget feature.

Looking ahead, the SoundCloud team is eager to employ more of Glance to improve existing widgets, like adopting canonical layouts, and even develop new ones. While the current Liked Tracks widget focuses primarily on image display, the team is interested in including other types of content to further enrich user experience. Developers also hope to migrate the Player widget over to Glance to access the framework’s robust theming options, simplify resizing processes, and address some long-standing bugs.

Beyond the Liked Tracks and Player features, the team is excited about the potential of using Glance to build a wider range of widgets. The modular, component-based architecture of the Liked Tracks widget, with reusable elements like UserAvatar and Logo, offers a solid foundation for future development, promising to simplify processes from the start.

Get started building custom app widgets with Jetpack Glance

Rapidly develop and deploy widgets that keep your app visible and engaging with Glance.

This blog post is part of our series: Spotlight Week on Widgets, where we provide resources—blog posts, videos, sample code, and more—all designed to help you design and create widgets. You can read more in the overview of Spotlight Week: Widgets, which will be updated throughout the week.

New AI-Powered Scam Detection Features to Help Protect You on Android

Posted by Lyubov Farafonova, Product Manager, Phone by Google; Alberto Pastor Nieto, Sr. Product Manager Google Messages and RCS Spam and Abuse

Google has been at the forefront of protecting users from the ever-growing threat of scams and fraud with cutting-edge technologies and security expertise for years. In 2024, scammers used increasingly sophisticated tactics and generative AI-powered tools to steal more than $1 trillion from mobile consumers globally, according to the Global Anti-Scam Alliance. And with the majority of scams now delivered through phone calls and text messages, we’ve been focused on making Android’s safeguards even more intelligent with powerful Google AI to help keep your financial information and data safe.

Today, we’re launching two new industry-leading AI-powered scam detection features for calls and text messages, designed to protect users from increasingly complex and damaging scams. These features specifically target conversational scams, which can often appear initially harmless before evolving into harmful situations.

To enhance our detection capabilities, we partnered with financial institutions around the world to better understand the latest advanced and most common scams their customers are facing. For example, users are experiencing more conversational text scams that begin innocently, but gradually manipulate victims into sharing sensitive data, handing over funds, or switching to other messaging apps. And more phone calling scammers are using spoofing techniques to hide their real numbers and pretend to be trusted companies.

Traditional spam protections are focused on protecting users before the conversation starts, and are less effective against these latest tactics from scammers that turn dangerous mid-conversation and use social engineering techniques. To better protect users, we invested in new, intelligent AI models capable of detecting suspicious patterns and delivering real-time warnings over the course of a conversation, all while prioritizing user privacy.

Scam Detection for messages

We’re building on our enhancements to existing Spam Protection in Google Messages that strengthen defenses against job and delivery scams, which are continuing to roll out to users. We’re now introducing Scam Detection to detect a wider range of fraudulent activities.

Scam Detection in Google Messages uses powerful Google AI to proactively address conversational scams by providing real-time detection even after initial messages are received. When the on-device AI detects a suspicious pattern in SMS, MMS, and RCS messages, users will now get a message warning of a likely scam with an option to dismiss or report and block the sender.

As part of the Spam Protection setting, Scam Detection on Google Messages is on by default and only applies to conversations with non-contacts. Your privacy is protected with Scam Detection in Google Messages, with all message processing remaining on-device. Your conversations remain private to you; if you choose to report a conversation to help reduce widespread spam, only sender details and recent messages with that sender are shared with Google and carriers. You can turn off Spam Protection, which includes Scam Detection, in your Google Messages at any time.

Scam Detection in Google Messages is launching in English first in the U.S., U.K. and Canada and will expand to more countries soon.

Scam Detection for calls

More than half of Americans reported receiving at least one scam call per day in 2024. To combat the rise of sophisticated conversational scams that deceive victims over the course of a phone call, we introduced Scam Detection late last year to U.S.-based English-speaking Phone by Google public beta users on Pixel phones.

We use AI models processed on-device to analyze conversations in real-time and warn users of potential scams. If a caller, for example, tries to get you to provide payment via gift cards to complete a delivery, Scam Detection will alert you through audio and haptic notifications and display a warning on your phone that the call may be a scam.

During our limited beta, we analyzed calls with Gemini Nano, Google’s built-in, on-device foundation model, on Pixel 9 devices and used smaller, robust on-device machine-learning models for Pixel 6+ users. Our testing showed that Gemini Nano outperformed other models, so as a result, we're currently expanding the availability of the beta to bring the most capable Scam Detection to all English-speaking Pixel 9+ users in the U.S.

Similar to Scam Detection in messaging, we built this feature to protect your privacy by processing everything on-device. Call audio is processed ephemerally and no conversation audio or transcription is recorded, stored on the device, or sent to Google or third parties. Scam Detection in Phone by Google is off by default to give users control over this feature, as phone call audio is more ephemeral compared to messages, which are stored on devices. Scam Detection only applies to calls that could potentially be scams, and is never used during calls with your contacts. If enabled, Scam Detection will beep at the start and during the call to notify participants the feature is on. You can turn off Scam Detection at any time, during an individual call or for all future calls.

According to our research and a Scam Detection beta user survey, these types of alerts have already helped people be more cautious on the phone, detect suspicious activity, and avoid falling victim to conversational scams.

Keeping Android users safe with the power of Google AI


We're committed to keeping Android users safe, and that means constantly evolving our defenses against increasingly sophisticated scams and fraud. Our investment in intelligent protection is having real-world impact for billions of users. Leviathan Security Group, a cybersecurity firm, conducted a funded evaluation of fraud protection features on a number of smartphones and found that Android smartphones, led by the Pixel 9 Pro, scored highest for built-in security features and anti-fraud efficacy1.

With AI-powered innovations like Scam Detection in Messages and Phone by Google, we're giving you more tools to stay one step ahead of bad actors. We're constantly working with our partners across the Android ecosystem to help bring new security features to even more users. Together, we’re always working to keep you safe on Android.

Notes

  1. Based on third-party research funded by Google LLC in Feb 2025 comparing the Pixel 9 Pro, iPhone 16 Pro, Samsung S24+ and Xiaomi 14 Ultra. Evaluation based on no-cost smartphone features enabled by default. Some features may not be available in all countries. ↩

New AI-Powered Scam Detection Features to Help Protect You on Android

Posted by Lyubov Farafonova, Product Manager, Phone by Google; Alberto Pastor Nieto, Sr. Product Manager Google Messages and RCS Spam and Abuse

Google has been at the forefront of protecting users from the ever-growing threat of scams and fraud with cutting-edge technologies and security expertise for years. In 2024, scammers used increasingly sophisticated tactics and generative AI-powered tools to steal more than $1 trillion from mobile consumers globally, according to the Global Anti-Scam Alliance. And with the majority of scams now delivered through phone calls and text messages, we’ve been focused on making Android’s safeguards even more intelligent with powerful Google AI to help keep your financial information and data safe.

Today, we’re launching two new industry-leading AI-powered scam detection features for calls and text messages, designed to protect users from increasingly complex and damaging scams. These features specifically target conversational scams, which can often appear initially harmless before evolving into harmful situations.

To enhance our detection capabilities, we partnered with financial institutions around the world to better understand the latest advanced and most common scams their customers are facing. For example, users are experiencing more conversational text scams that begin innocently, but gradually manipulate victims into sharing sensitive data, handing over funds, or switching to other messaging apps. And more phone calling scammers are using spoofing techniques to hide their real numbers and pretend to be trusted companies.

Traditional spam protections are focused on protecting users before the conversation starts, and are less effective against these latest tactics from scammers that turn dangerous mid-conversation and use social engineering techniques. To better protect users, we invested in new, intelligent AI models capable of detecting suspicious patterns and delivering real-time warnings over the course of a conversation, all while prioritizing user privacy.

Scam Detection for messages

We’re building on our enhancements to existing Spam Protection in Google Messages that strengthen defenses against job and delivery scams, which are continuing to roll out to users. We’re now introducing Scam Detection to detect a wider range of fraudulent activities.

Scam Detection in Google Messages uses powerful Google AI to proactively address conversational scams by providing real-time detection even after initial messages are received. When the on-device AI detects a suspicious pattern in SMS, MMS, and RCS messages, users will now get a message warning of a likely scam with an option to dismiss or report and block the sender.

As part of the Spam Protection setting, Scam Detection on Google Messages is on by default and only applies to conversations with non-contacts. Your privacy is protected with Scam Detection in Google Messages, with all message processing remaining on-device. Your conversations remain private to you; if you choose to report a conversation to help reduce widespread spam, only sender details and recent messages with that sender are shared with Google and carriers. You can turn off Spam Protection, which includes Scam Detection, in your Google Messages at any time.

Scam Detection in Google Messages is launching in English first in the U.S., U.K. and Canada and will expand to more countries soon.

Scam Detection for calls

More than half of Americans reported receiving at least one scam call per day in 2024. To combat the rise of sophisticated conversational scams that deceive victims over the course of a phone call, we introduced Scam Detection late last year to U.S.-based English-speaking Phone by Google public beta users on Pixel phones.

We use AI models processed on-device to analyze conversations in real-time and warn users of potential scams. If a caller, for example, tries to get you to provide payment via gift cards to complete a delivery, Scam Detection will alert you through audio and haptic notifications and display a warning on your phone that the call may be a scam.

During our limited beta, we analyzed calls with Gemini Nano, Google’s built-in, on-device foundation model, on Pixel 9 devices and used smaller, robust on-device machine-learning models for Pixel 6+ users. Our testing showed that Gemini Nano outperformed other models, so as a result, we're currently expanding the availability of the beta to bring the most capable Scam Detection to all English-speaking Pixel 9+ users in the U.S.

Similar to Scam Detection in messaging, we built this feature to protect your privacy by processing everything on-device. Call audio is processed ephemerally and no conversation audio or transcription is recorded, stored on the device, or sent to Google or third parties. Scam Detection in Phone by Google is off by default to give users control over this feature, as phone call audio is more ephemeral compared to messages, which are stored on devices. Scam Detection only applies to calls that could potentially be scams, and is never used during calls with your contacts. If enabled, Scam Detection will beep at the start and during the call to notify participants the feature is on. You can turn off Scam Detection at any time, during an individual call or for all future calls.

According to our research and a Scam Detection beta user survey, these types of alerts have already helped people be more cautious on the phone, detect suspicious activity, and avoid falling victim to conversational scams.

Keeping Android users safe with the power of Google AI


We're committed to keeping Android users safe, and that means constantly evolving our defenses against increasingly sophisticated scams and fraud. Our investment in intelligent protection is having real-world impact for billions of users. Leviathan Security Group, a cybersecurity firm, conducted a funded evaluation of fraud protection features on a number of smartphones and found that Android smartphones, led by the Pixel 9 Pro, scored highest for built-in security features and anti-fraud efficacy1.

With AI-powered innovations like Scam Detection in Messages and Phone by Google, we're giving you more tools to stay one step ahead of bad actors. We're constantly working with our partners across the Android ecosystem to help bring new security features to even more users. Together, we’re always working to keep you safe on Android.

Notes

  1. Based on third-party research funded by Google LLC in Feb 2025 comparing the Pixel 9 Pro, iPhone 16 Pro, Samsung S24+ and Xiaomi 14 Ultra. Evaluation based on no-cost smartphone features enabled by default. Some features may not be available in all countries. ↩

Chrome Dev for Desktop Update

The Dev channel has been updated to 135.0.7039.0 for Windows, Mac and Linux.

A partial list of changes is available in the Git log. Interested in switching release channels? Find out how. If you find a new issue, please let us know by filing a bug. The community help forum is also a great place to reach out for help or learn about common issues.

Chrome Release Team
Google Chrome

Introducing the Salesforce for Gemini extension in Gmail

What’s changing

Previously, we announced third party extensions for Salesforce and AI in Workspace. Beginning today, you can install the Salesforce extension for Gemini in Google Workspace, which will allow you to get information from Salesforce and create leads and contacts directly from Gemini in the side panel of Gmail. 

You can ask Gemini for help with Salesforce tasks directly from an email or your inbox. This includes things like “Create a lead in Salesforce”, “Create a contact in Salesforce” or “Show me the [Name] account in Salesforce” and more. 

You can also take more complex actions, like “Research a lead’s company” which will return a relevant summary of information. Or you can pull information directly from Salesforce into Gmail by using the “Take action on this sales inquiry” to generate a sales brief based on an email message or thread. 

tracking a salesforce lead using gemini in gmail

Who’s impacted 

Admins and end users 

Why you’d use it 

The Salesforce extension for Gemini in Google Workspace enhances CRM interaction by connecting you directly to Salesforce data without the need to switch between Gmail and Salesforce. You can ask questions and receive immediate answers, and generate valuable insights, helping to uncover potential opportunities. Further, features like email summarization, quick actions to add leads, and suggested responses let you focus more on selling and less on searching for information and more time building stronger customer relationships. 


Additional details 

The extension is currently only available in English and when using Gmail in a browser. 


Getting started

Rollout pace 

Availability 

Available to Google Workspace: 
  • Business Standard and Plus 
  • Enterprise Standard and Plus 
  • Customers with the Gemini Education or Gemini Education Premium add-on 
Anyone who previously purchased these add-ons will also receive this feature: 
  • Gemini Business* 
  • Gemini Enterprise* 
*As of January 15, 2025, we’re no longer offering the Gemini Business and Gemini Enterprise add-ons for sale. Please refer to this announcement for more details. 

Resources