The JSON i18n translator utilizes the Google Gemini API for fast, efficient translations, featuring incremental caching that optimizes API usage. Key attributes include multi-file support with automatic deduplication, ensuring only new or modified strings are translated, which significantly reduces API calls. Its batch processing capabilities improve performance by intelligently grouping translations while preserving the original JSON structure, including nested objects. The tool is cross-platform, compatible with Windows, macOS, and Linux, and provides developers with built-in performance statistics. Users can choose between utilizing the Google Gemini API or the local Ollama model for translation, offering flexibility based on project needs. Installation is straightforward via npm, and comprehensive commands allow for translating both single and multiple JSON files, with options for output formats and caching preferences. This tool is particularly effective for large projects, ensuring speed and accuracy while minimizing costs associated with API usage.
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AI-Powered Translation Tool – npm
Explore the Midjourney Video Project: GitHub Repository by Vidaigen
MJVideo is an innovative AI video generator that converts static images into engaging 5-second videos in just seconds, ideal for content creators, marketers, and social media managers. Its key features include customizable animation styles, professional-quality outputs with realistic motions, and batch processing capabilities for efficient production. Users can upload personal images or create visuals using Midjourney-generated art. The platform offers commercial rights for all generated videos and ensures secure content creation with enterprise-grade encryption. MJVideo aids in enhancing social media content, e-commerce product displays, digital artwork, and marketing materials. With subscription plans starting at $21.99 per month for 200 VideoGen credits, it has garnered trust from over 10,000 professionals looking to elevate their content strategy and engagement.
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Bonobos Co-Founder’s App Pie Combats Social Isolation Through AI Matching
Andy Dunn, co-founder of Bonobos, has launched a new social media app called Pie, aimed at fostering real-world friendships using artificial intelligence. Inspired by his personal struggle with loneliness after relocating to Chicago post-pandemic, Dunn developed Pie to address social isolation during major life transitions. The app employs smart matching technology to connect users through curated group experiences like dinners, trivia, and activities, drawing from a quiz that gauges interests. Users engage with “real-life creators” who host recurring events, such as Kyle Casaccio’s Sunday Morning Club, which grew rapidly in participation. Initially focused on one-on-one matching, Dunn shifted to group dynamics after studying how friendships form in communal settings. With over 250,000 users monthly and growing plans for monetization and expansion, Pie aims to redefine how people build social connections, emphasizing offline interactions. Dunn envisions using AI to enhance user profiles and facilitate interactions before events.
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Elevate Humanity
The Privacy Notice for Amplify Humans, authored by Marco Cello, outlines data collection and processing practices as of June 19, 2025. It details the types of data collected, including contact information, optional feedback, and technical data, while not requesting sensitive personal data. The data is used to send updates, analyze engagement, and maintain security. Users can withdraw consent at any time. Third-party service providers may process data outside the EEA, operating under strict agreements. Data retention policies specify that newsletter data is kept until unsubscription or 24 months of inactivity, while survey responses are retained for up to 24 months before anonymization. Users have rights under EU/UK GDPR, including accessing and erasing their data. The site uses essential cookies and a privacy-friendly analytics tool, maintaining security through standard measures like TLS encryption. Changes to the Privacy Notice will be communicated, and ongoing use signifies acceptance of any updates. For questions, contact via email.
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Empowering AI Healthcare Apps: How Houston’s App Developers Bring a Human Touch
In Houston, a wave of innovative healthcare technology is reshaping perceptions of AI from complexity and fear to comfort and connection. Local developers focus on creating mobile healthcare apps that integrate artificial intelligence in a supportive role for both doctors and patients. Their designs prioritize user experience, making interactions feel personal and approachable. With Houston’s diverse population, these apps cater to various cultural and linguistic needs, emphasizing inclusivity and accessibility. Developers adhere to strict HIPAA regulations, ensuring patient data security while tackling algorithm bias through diverse data sourcing. They aim to create transparent AI, providing clear explanations for health insights in understandable language. This human-centric approach in app development highlights that the transformative power of AI lies not just in technology, but in enhancing the personal healthcare experience. Houston’s blend of tech expertise and medical insight sets the stage for a future where AI truly supports human care.
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AI-Powered No-Code Backtesting Solutions
The article on AI Quant Studio discusses the integration of artificial intelligence in quantitative finance, highlighting its potential to revolutionize trading strategies, risk management, and market analysis. It emphasizes the use of machine learning and data-driven techniques to enhance decision-making processes, allowing investors to identify patterns and trends in vast datasets. The article outlines the benefits of AI, such as improved accuracy in predictions and the ability to process information at unprecedented speeds. It also addresses challenges, including algorithmic biases and the need for continuous adaptation to evolving market conditions. Furthermore, the piece encourages collaboration between finance experts and data scientists to harness AI’s full potential while ensuring ethical considerations are prioritized. Overall, AI Quant Studio showcases the transformative power of AI in finance, setting the stage for a more efficient and data-informed future in the industry.
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Investors Are Focusing on AI Healthcare Tools That Directly Benefit Patients – The Globe and Mail
The article from The Globe and Mail discusses the increasing investment in AI healthcare tools that directly interact with patients. As healthcare technology evolves, investors are shifting their focus from backend solutions to tools that enhance patient care and experience. This includes applications and devices that utilize AI to provide personalized treatment plans, monitor patient health in real-time, and improve communication between patients and healthcare providers. The shift is driven by the demand for more efficient, accessible, and effective healthcare solutions, especially in the wake of the pandemic. As a result, venture capital is flowing into startups that prioritize patient-centric AI tools, highlighting a growing recognition of the importance of integrating technology into direct patient care. Overall, this trend signals a significant transformation in healthcare delivery, emphasizing the need for innovation that benefits patients firsthand.
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Discover Mundi.ai: An AI-Driven Open Source Web GIS for Hosting, Exploring, and Analyzing Spatial Data
Mundi offers both open source and cloud/enterprise versions of its GIS software, reflecting its belief in the future of open source and AI-driven tools while allowing corporate sponsorship for development.
Open Source Mundi:
- Optimized for local and open Large Language Models (LLMs)
- Operates in a single-player mode
- Supported primarily through community resources
- Licensed under AGPLv3
Cloud/Enterprise Mundi:
- Integrated with third-party services
- Designed for frontier and proprietary models
- Supports team collaboration among users
- Provides Service Level Agreements (SLAs) for support
- Offered under a commercial license
For further details and guides, visit docs.mundi.ai.
Can AI Innovations Like DocsGPT Propel DOCS to New Heights? — TradingView News
Doximity (DOCS), often referred to as the “LinkedIn for doctors,” is focusing on artificial intelligence (AI) to drive growth following a successful fiscal 2025. They’ve launched Doximity GPT, an AI tool designed to enhance clinician workflows, contributing to a 20% revenue increase and solidifying their stance in high-margin pharma marketing. While the company anticipates growth at twice the market rate, there are unresolved questions about the monetization potential of these AI tools. Current reliance on pharma marketing funds, which are experiencing cyclical challenges, raises concerns. Despite AI not providing an immediate revenue boost, it may strengthen user engagement and open new revenue streams in the future. Competing companies like Certara and GE HealthCare are also developing AI solutions, enhancing their market standing. Doximity shares have risen 6.9% year to date, though they trail the industry’s 28% growth, reflecting a cautiously optimistic outlook among investors.
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Evaluating AI-Driven “Vibe Coding” Tools
At CodeYam, we tested six advanced AI tools that convert natural language into software, focusing on their ability to build a moderately complex multi-page, mobile-responsive to-do app. Each tool was evaluated on its natural language input and output capabilities, using a structured prompt that included generating a product specification and considering missing functionality. The tools fell into three categories: detailed planners (e.g., v0, Lovable), lightweight planners (e.g., Firebase Studio), and opaque agents (e.g., Replit). Most tools provided MVPs but struggled with precise integration, particularly with Supabase, which varied in usability. Key insights included the need for efficient iterative workflows over one-shot builds, and the importance of QA, as deployment often presented unexpected discrepancies. While branding and testing support were generally lacking, the tools demonstrated potential for rapid prototyping. Overall, though promising, the platforms require refinement in usability and integration for broader professional adoption.
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