The post "Everyone knows all the apps on your phone" argues that the extensive data collection practices of mobile advertising networks effectively reveal which apps individuals use, even without explicit permission. Through deterministic and probabilistic methods linking device IDs, IP addresses, and other signals, these networks can create detailed profiles of app usage across devices. This information is then packaged and sold to advertisers, data brokers, and even governments, allowing them to infer sensitive information about users, from their political affiliations and health concerns to their financial status and personal relationships. The post emphasizes the illusion of privacy in the mobile ecosystem, suggesting that the current opt-out model is inadequate and calls for a more robust approach to data protection.
Lovable is a new tool built with Flutter that simplifies mobile app user onboarding and feature adoption. It allows developers to easily create interactive guides, tutorials, and walkthroughs within their apps without coding. These in-app experiences are customizable and designed to improve user engagement and retention by highlighting key features and driving specific actions, ultimately making the app more "lovable" for users.
Hacker News users discussed the cross-platform framework Flutter and its suitability for mobile app development. Some praised Flutter's performance and developer experience, while others expressed concerns about its long-term viability, particularly regarding Apple's potential restrictions on third-party frameworks. Several commenters questioned the "lovability" claim, focusing on aspects like jank and the developer experience around animations. The closed-source nature of the presented tool, Lovable, also drew criticism, with users preferring open-source alternatives or questioning the need for such a tool. Some discussion revolved around Flutter's suitability for specific use-cases like games and the challenges of managing complex state in Flutter apps.
Amazon is shutting down its Appstore for Android devices on August 20, 2025. Users will no longer be able to download or update apps from the Appstore after this date, and some services associated with existing apps may also cease functioning. Amazon will refund any remaining Amazon Coins balance. Developers will continue to be paid royalties for existing apps until the shutdown date. While Amazon states they're shifting focus to Fire tablets and Fire TV, the actual Android Appstore listing has been pulled from the Google Play Store, and development of new Android apps for submission is now discouraged.
Hacker News users react to the Amazon Appstore shutdown with a mixture of apathy and mild surprise. Many point out the store's general irrelevance, citing its limited selection and lack of discoverability compared to the Google Play Store. Some speculate about Amazon's motivations, suggesting they're refocusing resources on more profitable ventures or admitting defeat in the mobile app market. A few users express disappointment, having used the store for specific apps unavailable elsewhere or to take advantage of Amazon Coins promotions. The overall sentiment suggests the closure won't significantly impact the Android ecosystem.
NOAA's publicly available weather data, collected from satellites, radars, weather balloons, and buoys, forms the backbone of nearly all weather forecasts you see. Private companies enhance and tailor this free data for specific audiences, creating the apps and broadcasts we consume. However, the sheer scale and expense of gathering this raw data makes it impossible for private entities to replicate, highlighting the vital role NOAA plays in providing this essential public service. This free and open data policy fosters innovation and competition within the private sector, ultimately benefiting consumers with a wider range of weather information options.
Hacker News users discussed the importance of NOAA's publicly funded weather data and its role in supporting private weather forecasting companies. Several commenters highlighted the inherent difficulty and expense of collecting this data, emphasizing that no private company could realistically replicate NOAA's infrastructure. Some pointed out the irony of private companies profiting from this freely available resource, with suggestions that they should contribute more back to NOAA. Others discussed the limitations of private weather apps and the superior accuracy often found in NOAA's own forecasts. The potential negative impacts of proposed NOAA budget cuts were also raised. A few commenters shared personal anecdotes highlighting the value of NOAA's weather information, particularly for severe weather events.
Tim investigated the precision of location data used for targeted advertising by requesting his own data from ad networks. He found that location information shared with these networks, often through apps on his phone, was remarkably precise, pinpointing his location to within a few meters. He successfully identified his own apartment and even specific rooms within it based on the location polygons provided by the ad networks. This highlighted the potential privacy implications of sharing location data with apps, demonstrating how easily and accurately individuals can be tracked even without explicit consent for precise location sharing. The experiment revealed a lack of transparency and control over how this granular location data is collected, used, and shared by advertising ecosystems.
HN commenters generally agreed with the article's premise that location tracking through in-app advertising is pervasive and concerning. Some highlighted the irony of privacy policies that claim not to share precise location while effectively doing so through ad requests containing latitude/longitude. Several discussed technical details, including the surprising precision achievable even without GPS and the potential misuse of background location data. Others pointed to the broader ecosystem issue, emphasizing the difficulty in assigning blame to any single actor and the collective responsibility of ad networks, app developers, and device manufacturers. A few commenters suggested potential mitigations like VPNs or disabling location services entirely, while others expressed resignation to the current state of surveillance. The effectiveness of "Limit Ad Tracking" settings was also questioned.
The Supreme Court upheld a lower court's ruling to ban TikTok in the United States, citing national security concerns. However, former President Trump, who initially pushed for the ban, has suggested he might offer TikTok a reprieve if certain conditions are met. This potential lifeline could involve an American company taking over TikTok's U.S. operations. The situation remains uncertain, with TikTok's future in the U.S. hanging in the balance.
Hacker News commenters discuss the potential political motivations and ramifications of the Supreme Court upholding a TikTok ban, with some skeptical of Trump's supposed "lifeline" offer. Several express concern over the precedent set by banning a popular app based on national security concerns without clear evidence of wrongdoing, fearing it could pave the way for future restrictions on other platforms. Others highlight the complexities of separating TikTok from its Chinese parent company, ByteDance, and the technical challenges of enforcing a ban. Some commenters question the effectiveness of the ban in achieving its stated goals and debate whether alternative social media platforms pose similar data privacy risks. A few point out the irony of Trump's potential involvement in a deal to keep TikTok operational, given his previous stance on the app. The overall sentiment reflects a mixture of apprehension about the implications for free speech and national security, and cynicism about the political maneuvering surrounding the ban.
Summary of Comments ( 392 )
https://news.ycombinator.com/item?id=43518866
Hacker News users discussed the privacy implications of app usage data being readily available to mobile carriers and how this data can be used for targeted advertising and even more nefarious purposes. Some commenters highlighted the ease with which this data can be accessed, not just by corporations but also by individuals with basic technical skills. The discussion also touched upon the ineffectiveness of current privacy regulations and the lack of real control users have over their data. A few users pointed out the potential for this data to reveal sensitive information like health conditions or financial status based on app usage patterns. Several commenters expressed a sense of resignation and apathy, suggesting the fight for data privacy is already lost, while others advocated for stronger regulations and user control over data sharing.
The Hacker News post "Everyone knows all the apps on your phone" (linking to a Substack article about app usage data collection) generated a lively discussion with several compelling comments.
Many commenters discussed the technical mechanisms behind this data collection, pointing out that it goes beyond simply tracking app store downloads. Several highlighted the role of "device graphs," which link together various devices and online identities belonging to the same individual through sophisticated cross-referencing of information like IP addresses, advertising identifiers, and shared accounts. This allows companies to build a comprehensive picture of a user's app usage even across different devices. Some elaborated on how this data is packaged and sold, emphasizing the scale and pervasiveness of this practice.
A recurring theme was the lack of genuine informed consent. Commenters argued that the current opt-out mechanisms are often buried in complex privacy policies or presented in a way that discourages users from exercising their choices. Some expressed skepticism about the effectiveness of privacy-focused operating systems or VPNs in fully mitigating this tracking, given the sophisticated techniques employed by data brokers.
Several commenters discussed the implications of this data collection, ranging from targeted advertising to potential misuse by governments or malicious actors. Some raised concerns about the chilling effect this surveillance could have on freedom of expression and association. The potential for discrimination based on inferred characteristics from app usage was also mentioned.
A few commenters offered practical advice on mitigating this tracking, such as regularly clearing advertising identifiers and being selective about the permissions granted to apps. However, there was a general consensus that individual efforts are insufficient and that stronger regulatory measures are needed to address the systemic nature of this data collection.
Some of the more compelling comments included specific examples of how this data is used, anecdotes about unexpected data linkages, and technical deep dives into the methods employed by data brokers. The discussion also touched upon the ethical implications of this practice and the broader societal consequences of widespread digital surveillance. While some comments offered a resigned acceptance of this reality, others expressed a desire for greater transparency and control over personal data.