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Every household management app I tried came up short, so I built my own with Claude
AppWizard
August 2, 2026

Every household management app I tried came up short, so I built my own with Claude

The author sought to improve household management by creating a customized app after finding existing apps inadequate. They initially planned to develop a traditional Android app but switched to a progressive web app (PWA) for quicker prototyping. The PWA evolved to include features for tracking family spending, inventory, and chores, with integration of Google Calendar and Firebase for syncing. The author repurposed an old tablet as a family hub for easy access to the app. After multiple iterations, they are now working on a native Android version, appreciating the learning experience gained from developing the PWA.
Your Samsung phone already has something better than Android 17 App Bubbles — here’s how to use it
AppWizard
August 2, 2026

Your Samsung phone already has something better than Android 17 App Bubbles — here’s how to use it

Android 17 introduces App Bubbles, allowing users to create floating bubbles for apps on their screen for easier access while using other applications. Samsung Galaxy phones have a similar feature called Pop-Up View, which offers a more refined multitasking experience with resizable, floating windows. Pop-Up View allows users to interact with multiple apps simultaneously without disrupting the primary app, making it useful for tasks like watching videos while chatting. Users can access Pop-Up View through the Recents menu, a swipe gesture, or the Edge Panel. The swipe gesture is preferred for its speed, though it may require practice. Pop-Up View supports individual window resizing and maintains visibility of app contents in the background, unlike App Bubbles, which can obscure the screen.
Question time: What makes a 'good' grind in an MMO?
AppWizard
August 2, 2026

Question time: What makes a ‘good’ grind in an MMO?

Grinding in MMOs refers to the repetitive activities necessary to achieve specific objectives within the game. It is often debated among players, with some expressing aversion to it, while others find it an inherent part of the genre focused on progression and long-term goals. An example provided is the quest for relic weapons in Final Fantasy 14, where gathering 600 units of crystal paste from dungeons involves grinding low-level dungeons. The author reflects on their enjoyment of this grinding experience, suggesting that it may offer a sense of tranquility and could be beneficial within MMOs. The text invites readers to share their opinions on grinding, whether they find it enjoyable or frustrating.
Someone turned PostgreSQL into a city you can walk around in
Tech Optimizer
July 31, 2026

Someone turned PostgreSQL into a city you can walk around in

Nik Samokhvalov created PGSimCity, a visualizer for the open-source database PostgreSQL, inspired by the game SimCity. It allows users to navigate a city-like environment using gaming controls, where database transactions are represented as animations. The project originated from a prompt to Claude and involved 3.86 billion tokens of AI-assisted coding. PGSimCity is open source and has potential for adaptation to explain other complex technologies.
Cheap Android TV Boxes Pose as Phones and Turn Owners’ Broadband Into Proxies
AppWizard
July 31, 2026

Cheap Android TV Boxes Pose as Phones and Turn Owners’ Broadband Into Proxies

Bitsight's investigation revealed that inexpensive Android TV boxes are being shipped with applications that can change their hardware identity, allowing them to impersonate popular smartphone brands like Samsung and Huawei. This operation, named Fuyao, is linked to Zhejiang Fengwo IoT Technology Co., Ltd., a Chinese company established in 2019. The H96MAXV11 model was frequently reported among the affected devices. In one day, the operation received 65,957 reports from about 38,000 unique MAC addresses, with many devices misidentified as phones due to spoofed identifiers. Fengwo has also promoted over 120,000 "AI digital humans," though details on this marketing term are vague. The command-and-control server for Fuyao sends phone profiles to devices, masking their actual hardware specifications. The operation uses machine vision technology and a YOLOv8s object-detection model to identify advertisements. Bitsight documented 40 fraud tasks, 21 unique campaigns, and 166 modules across four devices. The operation's payout structure involves 144 operator-owned domains, with an estimated gross return of .25 per device daily, potentially leading to annual revenues in the millions. Attribution to Fengwo is supported by shared TLS certificate data and public patent records, although the patents do not directly address advertising. There is uncertainty about how the fraudulent apps were installed and at what point in the supply chain they were introduced. Device owners are advised to verify Play Protect certification and disconnect suspicious devices.
Recommended Hosting for Forge Servers: Minecraft Recipes Guide
AppWizard
July 31, 2026

Recommended Hosting for Forge Servers: Minecraft Recipes Guide

In heavily modded Forge servers in Minecraft, recipe management is crucial due to the extensive crafting systems introduced by various mods. Players can encounter tens of thousands of recipes, especially in complex modpacks that combine technology, magic, farming, and automation. Crafting advanced machines requires a network of smaller components, leading to significant server load during crafting operations. Automation increases demands on servers, as multiple systems may run concurrently, generating thousands of crafting events every minute. Server performance is influenced more by CPU speed than by RAM, with high-frequency processors facilitating quicker recipe evaluations. Effective hosting configurations should include powerful CPUs and fast storage to maintain tick stability. Regular server management practices, such as avoiding large automated crafting loops and scheduling restarts, can enhance performance. Keeping mods updated and testing new ones before deployment can help prevent recipe conflicts and maintain stability.
Generating Referentially Consistent Synthetic Test Data for PostgreSQL in .NET Application Modernization
Tech Optimizer
July 30, 2026

Generating Referentially Consistent Synthetic Test Data for PostgreSQL in .NET Application Modernization

Satyajit Gokhale, Aiswaryaa Venugopalan, Ruchi Agarwal, Nits Jeganathan, Khurram Khawaja, Vijay Mandadi, and Luke Huan contributed to this article. AWS Transform offers a .NET application modernization service that allows enterprise customers to migrate from Microsoft SQL Server to Amazon Aurora PostgreSQL Compatible Edition. This migration reduces licensing costs and enhances scalability while utilizing an open-source ecosystem. Schema conversion tools can assist in translating DDL to PostgreSQL-compatible definitions, but correctness must be verified by teams to ensure performance under real-world workloads. Traditional testing methods, such as using production data or manual checks, are not scalable and raise privacy concerns. Therefore, there is a need for realistic synthetic data generated at scale that adheres to the migrated schema's constraints. AWS Transform for SQL Server modernization employs an AI agent to generate constraint-respecting synthetic data at scale during the migration workflow. This process involves loading the PostgreSQL schema into a live database, constructing a dependency graph for data generation, and distributing tasks across multiple sub-agents. The agent validates each generated INSERT against the live database, ensuring compliance with constraints and providing error diagnostics for any violations. The synthetic data generation workflow consists of four stages: schema analysis, establishing generation order, distributing tasks across sub-agents, and validation with error recovery. The agent extracts metadata from the PostgreSQL schema, determines a valid table generation sequence, parallelizes data generation while maintaining referential integrity, and generates and validates data row-by-row against the live database. Each successful insertion enriches the context for subsequent generations, while errors are handled through structured diagnostics and iterative regeneration. The process ensures referential integrity and preserves the generation state, allowing for recovery from interruptions without data loss.
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