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Ex-Microsoft engineer rebuilds Notepad in 2.5KB using nothing but stuff Windows already had
Winsage
July 4, 2026

Ex-Microsoft engineer rebuilds Notepad in 2.5KB using nothing but stuff Windows already had

Dave Plummer, a retired Microsoft engineer, has developed TinyRetroPad, a Notepad-like application that is only 2.5 kilobytes in size. TinyRetroPad includes features such as Open, Save, Find and Replace, printing, font selection, word wrap, and an unsaved changes prompt. It is built on existing Windows components, allowing it to function efficiently without extensive resources. TinyRetroPad is based on Dave’s Tiny Editor and utilizes RICHEDIT50W for text handling. The application's file size increased incrementally with each feature added, with the final size being 2,476 bytes. Crinkler, a compression linker, was used to optimize the executable. TinyRetroPad is still in development, facing issues like high memory consumption and compatibility problems. In contrast, Windows 11's Notepad has become larger and more complex, weighing approximately 352KB and incorporating features that some users find unnecessary. Windows 11 LTSC retains the classic Notepad without modern features, while TinyRetroPad aims to demonstrate the potential for simplicity in application design.
Microsoft omits controversial workplace check-in feature from June Teams roundup
Winsage
July 3, 2026

Microsoft omits controversial workplace check-in feature from June Teams roundup

In June, Microsoft introduced several enhancements for Microsoft Teams, including new calling agents, brand impersonation protection, redesigned in-meeting controls, bot detection, a facilitator in Teams Rooms, and IntelliFrame people labels. A notable feature, "workplace check-in via Wi-Fi," is now generally available after initial criticism and a delayed rollout. SharePoint content shared through Quick Share retains permissions to enhance user privacy.
From monolith to Lakebase to LTAP: rethinking the database from storage up
Tech Optimizer
July 2, 2026

From monolith to Lakebase to LTAP: rethinking the database from storage up

Sixteen years ago, the author began their PhD at UC Berkeley and was advised to focus on analytics rather than OLTP databases, which were considered solved. This led to the creation of Apache Spark and Databricks. However, during the development of Databricks, it was found that OLTP databases were not solved problems; they were difficult to scale and fragile. This realization led to the development of Lakebase, a serverless Postgres database designed with modern technology. Lakebase architecture separates the write-ahead log (WAL) and data files into independent, scalable services. The WAL is externalized to a service called SafeKeeper, which uses Paxos-based replication for durability, while data files are managed by PageServer, which stores them in cloud object storage. This design addresses challenges such as data loss, scaling, and performance interference between transactional and analytical workloads. Lakebase maintains compatibility with Postgres, offers unlimited storage, serverless compute, durable writes, and simpler high availability. It also introduces LTAP (Lake Transactional/Analytical Processing), which allows both transactional and analytical processing to operate on a single data copy in real time, eliminating the need for separate data copies and reducing costs. LTAP utilizes a unified storage layer that allows data to be materialized in both row and columnar formats, optimizing it for both transactional and analytical workloads. The system ensures that analytics can access the most current data without affecting transactional performance by using a log sequence number (LSN) to retrieve the latest changes. Unlike traditional CDC approaches, LTAP requires no explicit table replication, as all data is stored in a single governed copy. This architecture circumvents common issues faced by hybrid transactional/analytical processing (HTAP) systems, such as incomplete feature sets, lack of ecosystem support, and performance contention. The Lakebase architecture has unlocked capabilities like unlimited storage, elastic compute, durable writes, and instant branching, with ongoing developments anticipated in the future.
Massive Samsung Galaxy Glasses leak gives sneak peek into manager app and gestures
AppWizard
July 1, 2026

Massive Samsung Galaxy Glasses leak gives sneak peek into manager app and gestures

A leak has revealed details about the Galaxy Glasses manager app, which will serve as the main hub for managing Samsung's upcoming smart glasses. The app will assist users in pairing the glasses, installing updates, and adjusting settings. It will feature menu options such as Camera, AI assistants, Read notifications aloud, Advanced features, Accessibility, and Find my glasses, with additional settings accessible only when connected to the glasses. Users can also automatically import photos and videos taken with the eyewear. The leak also describes intuitive buttons and gestures for user interaction with the Galaxy Glasses. Users can swipe to navigate music tracks and adjust volume, tap to pause or resume media playback, and use a button on the arm to capture photos or record videos. The glasses will have two LED lights to indicate recording status. Captured images and videos will be available in the Now Bar for previewing and reframing, with functionality expected to extend to the Galaxy Watch. Additionally, a Galaxy Glasses Controller app is in development for Galaxy Watches, and the upcoming Galaxy Ring will support gesture controls for enhanced user experience with the smart glasses.
silver Android smartphone
AppWizard
June 28, 2026

The Steam client was hurting PC gaming on Android — Valve’s VR headset accidentally solved it

Playing Windows games on Android has become feasible due to Winlator and open-source technologies like Wine, Box64, and DXVK. User-friendly applications such as GameHub and GameNative have emerged, enhancing mobile gaming experiences to rival dedicated handheld consoles. A major challenge was the reliance on the x86 Windows Steam client, which was resource-intensive on mobile devices. GameNative 1.0 introduced an experimental feature that eliminates the need for the desktop Steam client by using Valve's native Android libraries, improving the gaming experience significantly. Valve released Steamworks SDK version 1.63 in November 2025, which included native ARM64 libraries for Android, allowing for essential Steam functionalities without a translation layer. GameNative integrated these libraries, replacing the desktop client with a more efficient "bionic" Steam client that operates without a user interface, streamlining DRM and matchmaking processes. GameNative now supports Steam Guard TOTP sign-in, enabling smooth authentication and access to the user's Steam library. It downloads games natively, supports cloud saves, and is compatible with most single-player games with Steam DRM. The application boasts a high compatibility rate, with 221 out of 241 games in one user's library showing as compatible. GameNative 1.0 has improved performance with a Vulkan renderer and reworked controller stack. Despite its success, GameNative is not yet available on the Play Store, with nearly a million users sideloading the application. Developers aim to create a Play Store version that complies with Google's policies for easier installation.
EDB launches agentic Postgres AI with governance tools
Tech Optimizer
June 26, 2026

EDB launches agentic Postgres AI with governance tools

EDB has introduced new features for its Postgres AI platform, including an agentic database and converged analytics capabilities, allowing enterprises to run AI agents alongside transactional workloads on a unified PostgreSQL foundation. The platform includes governance tools that position control mechanisms at the data layer and integrates AI processing with operational data, enabling businesses to connect live records with AI systems without transferring sensitive information. The agentic database can monitor over 200 metrics, identify issues, suggest changes, and apply fixes automatically based on user-defined policies. It consolidates various data types through a single SQL interface, significantly accelerating database tuning processes and enhancing application performance. EDB has also expanded its analytics capabilities with a zero-ETL architecture for real-time analysis and large-scale warehousing. EDB PG AI for ClickHouse targets real-time analysis, while EDB PG AI for WarehousePG focuses on historical analysis at petabyte scale. The platform claims up to 30 times faster query performance compared to legacy systems and improved scaling efficiency. EDB's platform integrates vector search and retrieval for AI agents, demonstrating lower query latency and higher retrieval accuracy than competitors. NTT East is using EDB PG AI for AI-driven network operations, while the governance feature manages agent access at the data querying point using native Postgres roles and row-level security. The platform can be deployed on-premises, in hybrid environments, or across cloud infrastructures, with partnerships including Dell, IBM, Nvidia, Red Hat, and Supermicro.
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