Article URL: https://www.theguardian.com/world/2026/sep/17/iran-school-bombing-un-mission-us-military-behind-attack Comments URL: https://news.ycombinator.com/item?id=49739018 Points: 24 # Comments: 0
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Developers and analysts can identify the SDKs, ad networks, and API endpoints used by any competitor's Android app using only free tools like apktool and jadx, without needing a rooted device. The process begins by downloading the APK from a trusted mirror and treating it as a ZIP file to extract the Android manifest, which reveals permissions, declared services, and attribution SDK identifiers. Decompiling the APK then allows targeted searches for known ad network and analytics class names, such as AdMob, AppLovin, Meta Audience Network, and AppsFlyer. Analysts are cautioned that finding an SDK class name only confirms it is bundled, not necessarily active, so checking for initialization calls and mediation adapter configurations is essential. A final grep pass on resource files and decompiled code can surface hardcoded API endpoints, potentially exposing backend infrastructure details the app developer may not have intended to make visible.
Between September 7 and 14, 2026, the engineering team at GoodBarber documented their experience submitting a hosted, OAuth-authenticated MCP server across multiple AI tool directories. The official MCP Registry accepted their server without requiring public source code, and downstream aggregator Glama automatically imported and verified their listing within days. MCP.Directory proved problematic, as its submission form required a public GitHub repository — something GoodBarber's closed-source hosted server could not provide — leaving their listing absent from the site's sitemap six days later. The list awesome-remote-mcp-servers was purpose-built for hosted servers and accepted their pull request the same morning it was submitted, with automated endpoint validation confirming the server's authentication response. The team concluded that having an entry in the official MCP Registry first simplified downstream discovery, providing importers a stable identity rather than requiring each directory to reconstruct product details independently.
A web development learner shared a practical breakdown of core CSS properties used to build and style navigation bars. The session covered flexbox layout, removing default bullet points and link underlines, and adding uniform spacing between navigation items. The developer also explored how display: none and display: block control element visibility, a technique commonly used in responsive mobile menus. Hover effects using the :hover selector were practiced to create dynamic color changes on interactive elements. The exercise was framed as a step toward building a stronger frontend development foundation.
Linear regression is a statistical method used to predict the value of a dependent variable based on one or more independent variables. It comes in two forms: Simple Linear Regression, which uses one independent variable to predict an outcome, and Multiple Linear Regression, which uses several. Key evaluation metrics help assess how well a model performs on given data. R-squared, ranging from 0 to 1, measures the proportion of variance in the dependent variable explained by the independent variables. Root Mean Squared Error (RMSE) quantifies average prediction error, with lower values indicating a better-fitting model.
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