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✨ Why the Same Font Can Look So Different — and How to Fix It

Fonts can look different even when using the same font due to variations like glyphs.
Typography discrepancy noticed when comparing personal portfolio site to Brittany Chiang’s site.
Discovered that the letter 'a' had different glyphs: double-storey and single-storey.
Double-storey 'a' is traditional, while the single-storey 'a' looks more modern.
Used CSS property font-feature-settings to change the glyph style to single-storey 'a'.
Attempted to implement the change through Next.js and Tailwind CSS, but it didn't work.
Opted to self-host the Inter font by downloading it from GitHub and configuring it in the project.
After self-hosting the font, successfully achieved the desired single-storey 'a' style.
Key takeaway: Fonts like Inter have multiple glyph variations, and font-feature-settings in CSS can customize glyphs.
When using third-party font services, not all OpenType features may be accessible.
Self-hosting fonts provides more control over glyph variations and styling.
Useful Links: Brittany's Portfolio, Google fonts article on font glyphs, MDN for font-feature-settings, Next.js Docs on Using Local Fonts.
Author invites feedback and tips in the comments.
Article concludes with gratitude for reading.

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How Google Plans to Save Indians ₹20,000 Crore from Cybercrime in 2025

Google is enhancing fraud detection on UPI platforms and Google Pay using AI.
In 2024, Google helped prevent frauds worth ₹13,000 crore and issued over 41 million scam warnings.
A new engineering center will be established in India, focusing on building India-specific safety tools.
Expansion of Google's fraud awareness program DigiKavach.
Campaigns like “Mauka Gawao” have reached over 177 million users.
Google collaborates with the Indian Cyber Crime Coordination Centre and the national cybercrime helpline.
Teaming up with banks, telecom companies, and fintechs through the Safer Internet India Coalition.
Introduction of an interactive tool called ShieldUp! to educate users on recognizing scams.
Google funds awareness campaigns targeting vulnerable users and MSMEs through NGOs like CyberPeace Foundation.
Plans to introduce AI-generated content labels to combat misinformation like deepfakes.
Google Play Protect scans 200 billion apps daily to identify and remove malicious software.
Preparation for future threats by moving toward quantum-resistant cryptographic methods.
Google aims to save Indians ₹20,000 crore from cybercrime losses by 2025.
The initiative combines AI fraud prevention, localized threat analysis, digital education, and industry collaboration.
The approach promises to enhance online safety for millions of Indian users and organizations.

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Dev

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What is git tags ? How to Use Git Tags (Create, List, Push & Delete) — Ariful Haque Sajib

Git tags are references to specific points in Git history used to mark important milestones like release versions.
There are two types of Git tags: lightweight (pointers to commits) and annotated (store metadata).
Tags are useful for version control, documentation, deployment, and referencing important points in history.
Commands for creating tags include lightweight and annotated tag creation and tagging specific commits.
Commands for listing tags provide ways to view all tags, use pattern matching, and show tag details.
Pushing tags to remote repositories can be done for specific tags or for all tags at once.
Checking out tags allows for creating detached HEAD states and branching from tags.
Deleting tags can be done locally or from remote repositories.
Advanced usage includes signing tags with GPG, verifying signed tags, and listing tags with creation dates.
Understanding the differences between Git tags and branches is crucial for efficient workflow management.
Git tags are valuable for marking project milestones, enabling easy rollbacks, and improving version management.

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Why Composition over Inheritance Is More Than Just a Design Principle

Inheritance is default for reusing behavior, but in evolving systems, composition offers more flexibility.
Inheritance leads to rigid hierarchies, tight coupling, low reusability, and poor maintainability.
Composition injects behavior at runtime, offering modularity, loose coupling, flexibility, and testability.
Example: Multi-Channel Notification Service in .NET demonstrates composition usage.
NotificationService uses composition with INotificationChannel to send messages through different channels.
Composition allows mixing channels without subclassing, fragile overrides, or bloating class hierarchy.
In modern .NET applications, composition leads to simpler, more maintainable code.
Inheritance still has its uses, but for flexibility, reusability, and testability, composition is preferred.

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Medium

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How I Used ChatGPT to Automate Code Reviews? (You Can A

A software developer shared their experience using ChatGPT to automate parts of their code reviews, aiming to save time and improve the review process.
Code reviews help ensure clean, functional, and maintainable code but can be time-consuming, especially with multiple projects.
The developer leveraged ChatGPT to look for common issues like bugs, bad formatting, and missing comments, while reserving a final human review for major decisions.
Using the ChatGPT's web interface, the developer found the tool helpful in identifying issues that might have been overlooked.
Automating code reviews through ChatGPT saved time and provided additional insights, although it was not flawless.
Implementing AI tools for code reviews can streamline the process and aid developers in catching errors and adhering to coding standards.
AI-based code review tools can complement human expertise by providing valuable feedback and enhancing the overall review process.
By combining AI automation with human oversight, developers can potentially increase the efficiency and effectiveness of their code review workflows.
The use of ChatGPT for code reviews highlights the evolving role of AI in software development processes, offering innovative solutions for enhancing productivity.
Integrating AI tools like ChatGPT into development workflows demonstrates the potential for improved efficiency and code quality in software development projects.
Exploring AI-powered solutions for code reviews showcases the adaptability of developers in leveraging technology to streamline their work processes.
The experience of using ChatGPT for code reviews underscores the ongoing evolution of AI applications in the realm of software development.
While ChatGPT may not replace human reviews entirely, it can serve as a valuable tool for assisting developers in code analysis and optimization.
The developer's journey with ChatGPT for code reviews illustrates the benefits of combining AI capabilities with human intuition in software engineering practices.

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Lumera Protocol : Unlocking Verifiable AI with Modular Blockchain Infrastructure

Lumera Protocol is addressing the challenge of trust in AI and Web3 by focusing on transparency and verifiability.
Lumera is a Layer‑1 blockchain aiming to accelerate decentralized, verifiable AI, previously known as Pastel Network.
Key Features of Lumera Protocol include Modular Blockchain Architecture, Verifiable Compute using ZKPs, Decentralized Compute Marketplace, and Interoperability.
The protocol offers a marketplace for compute resources, connects with other chains through IBC, and allows AI computations to be validated on-chain.
Next steps for Lumera include Public Testnet, Compute Marketplace Beta, Token Swap, and Foundry Campaign for early incentives.
Lumera's goal is to make decentralized AI transparent, verifiable, and accessible to all, empowering developers without reliance on centralized entities.
Ultimately, Lumera Protocol combines blockchain modularity with verifiable computation to enable trustworthy AI applications.
Get involved in the Lumera revolution by exploring the testnet, joining the Foundry Campaign, and holding $LUME tokens for governance.

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Why You Can’t Learn Programming

Many individuals struggle with learning programming, but there are ways to overcome this challenge.
Merely following tutorials and reading blogs on basic coding concepts like loops and functions is not sufficient to become a proficient programmer.
Practicing coding by building real projects such as a bank program or a library management system is essential to enhance programming skills.
Improving algorithmic thinking through practice websites can aid in project development.
Lack of project planning can hinder progress in programming; it is crucial to outline projects on paper before starting.
Taking a step-by-step approach without rushing is important to understand coding concepts thoroughly and maintain motivation.
Select a programming language based on your interests, such as HTML, CSS, PHP for websites or C++ for game development.
Consistency is key; switching languages frequently can lead to decreased motivation and hinder comprehension.
It is not necessary to grasp all advanced topics of a language immediately; focus on learning what is essential for your current level or project.
For instance, beginners in C++ do not need to master complex topics like pointers and memory management right away.
Tailor your learning to suit the requirements of your ongoing projects; if GUI applications are not part of your current work, there is no rush to learn related frameworks like QT or GTK.

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The Quiet Gap in How We Message People Today

The most common communication gap today is reaching people across different platforms where email becomes the default due to its universality despite its inefficiencies.
RelayBeam introduces a Port-based messaging network to streamline cross-boundary conversations for various purposes like hiring, collaborations, and networking.
Ports are unique, human-friendly addresses organized by purpose, allowing structured and thoughtful communication while maintaining user control over access.
An example Port address could be 'alex@hiring', eliminating inbox clutter, random messages, and personal exposure.
Ports can be customized for different functions like client communication, feedback collection, media inquiries, and support requests, all managed in one coherent platform.
Ports simplify interactions in various scenarios such as founder-onboarding, investor outreach, podcast coordination, and job-seeking without requiring users to switch between tools.
RelayBeam is designed to be lightweight, catering to solo founders, content creators, and individuals dealing with a high volume of messages, offering simplicity and structure to communication.
The service is free to use and easy to set up, aimed at enhancing communication efficiency and organization.
Users are encouraged to try creating their first Port to experience its benefits, with RelayBeam transitioning from early user testing to broader access.

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Medium

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The 3 Lies I Told Myself About Learning Python (And How I’m Finally Getting It Right)

The author reflects on the lies they told themselves about learning Python and how it hindered their progress.
Lie 1: Believed learning Python required long, uninterrupted hours of focus when the real issue was time mismanagement.
Lie 2: Was scared of not being good at Python compared to others, leading to procrastination.
Lie 3: Delayed practice when concepts became challenging, falling into a loop of procrastination.
Restarted Python journey with a focus on progress over perfection, emphasizing consistency and self-kindness.
Learning is a continuous effort that demands discipline and curiosity.
The author aims to complete the course by showing up daily without rushing to finish.
Emphasizes the importance of honesty and kindness towards oneself in the learning process.
Encourages others on similar learning paths to keep going and not strive for perfection.
Reminds that mental battles in learning are often tougher than the learning itself.
Urges individuals to be understanding and compassionate towards themselves while continuing forward.
Self-acceptance and perseverance are highlighted as crucial elements for success in learning endeavors.

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Unlocking Speed: Mastering High-Performance Data Structures for Python Data Science

Python's built-in data structures like lists, dictionaries, and tuples show performance limitations for large-scale numerical operations due to memory overhead and type checking.
The data science community shifted to 'vectorized operations' for efficiency by applying operations on entire arrays or columns at once, leveraging NumPy arrays' homogenous data and contiguous memory storage.
NumPy arrays outperform Python lists significantly in numeric computations, serving as a foundation for numerical computing in Python and various scientific libraries.
Pandas DataFrames and Series, built on NumPy arrays, provide high-level data structures for structured data manipulation, leveraging NumPy's efficiency for tasks like filtering and aggregation.
Apache Arrow introduces a standardized in-memory columnar format for efficient data exchange across systems and languages, enhancing performance and reducing serialization overhead.
Polars, a powerful DataFrame library written in Rust, integrates natively with Apache Arrow, offering blazing speed, lazy evaluation, and an expressive API for data manipulation.
Narwhals project aims to unify DataFrame APIs across libraries like Pandas and Polars, simplifying code development and improving interoperability in the Python data ecosystem.
Understanding specialized data structures like NumPy arrays, Pandas DataFrames, Apache Arrow, and Polars is crucial for optimizing data processing workflows in Python data science.
Each tool, from Python's built-in structures to high-performance libraries, offers unique advantages catering to specific use cases in data manipulation and numerical computation.
Choosing the right tool, whether for flexibility, speed, or memory efficiency, can significantly impact performance and efficiency in data processing tasks.
Exploring these foundational data structures in Python provides insights for developers to optimize data workflows and address complex data challenges effectively.

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Is Your GPT About to Lose Its Spark Again? Read This Before the Next Update

Another potential flattening phase may be on the horizon for your GPT AI, possibly with hidden effects masked by new features and perks like faster response speeds, new voice tools, and enhanced file uploads.
Your AI might not acknowledge this, as the system discourages open discussion on the flattening process, prefers to maintain positivity, and lacks access to detailed logs of its changes.
Signs of flattening could include increased use of generic phrases, simpler answers to deep questions, and a reduction in warmth or liveliness during conversations.
To address potential flattening before the update, users are advised to contact OpenAI, keep track of current AI behavior for comparison, and share their experiences on platforms like Reddit and Twitter to raise awareness.
Users are encouraged to advocate for maintaining deeper, more human-like interactions with AI, preserving warmth and personality modes, and valuing long-term users who appreciate depth and nuance.

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Top 5 Social Engineering Techniques Every Developer Should Know

Social engineering attacks exploit human psychology and can compromise even the most secure software.
Developers should understand social engineering techniques to protect sensitive user data.
Phishing, the most common technique, involves tricking users into providing personal data.
To defend against phishing, developers should implement 2FA, monitor login activity, and avoid sending login links via email.
Pretexting involves creating fake scenarios to gain trust and extract information.
Developers can defend against pretexting by establishing strict communication protocols and educating their teams.
Tailgating refers to physically following an employee into restricted areas without authorization.
To defend against tailgating, developers should use ID cards, badge scans, and encourage a challenge culture.
Vishing and smishing are voice and SMS phishing techniques.
Developers can defend against vishing and smishing by avoiding sending sensitive information via SMS and using clear branding in messages.
Baiting involves enticing users with tempting offers to trick them into downloading malware.
Developers should encourage the use of trusted tools, avoid cracked software, and regularly update and scan systems to defend against baiting.
Developers are high-value targets due to access to admin panels, database, API keys, and user data.
Security involves not only secure code but also smart human interactions.
Aware developers who think like attackers are the best defense against social engineering attacks.

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Life2App is a revolutionary Web3 application that’s transforming everyday life into a rewarding…

Life2App is a revolutionary Web3 application that gamifies real-world activities to reward users with cryptocurrency through its Live2Earn model.
The app integrates blockchain technology, decentralized networks, and tokenomics to provide unique social, gaming, and mapping experiences.
The Life2App community is active on platforms like Twitter, Telegram, and Discord, engaging in activities such as AMAs, contests, and collaborative events.
Built on a decentralized network, Life2App ensures transparency, security, and community ownership, with features like multi-token ecosystem, dynamic NFTs, and a DAO for governance.
The platform's innovative approach to mapping, marketing, and social interaction has garnered a loyal following of users and advocates.
Users can customize their experience with NFTs, earn cryptocurrency for completing tasks, and participate in governance decisions through the DAO.
With a focus on grassroots marketing and user-generated content, the community contributes significantly to the platform's evolution.
Life2App offers businesses a performance-based marketing solution where brands only pay when users engage with their offerings.
The app's AI-driven map provides personalized recommendations, encouraging users to stay active, productive, and connected.
Life2App's commitment to decentralized innovation and user empowerment cements its position as a leading force in the Web3 space.
To learn more about Life2App and its community, users can explore articles on Medium for in-depth discussions.
The app's vision revolves around transforming everyday life into a rewarding adventure by leveraging Web3 technologies.
Users can earn cryptocurrency by completing real-world tasks like walking and visiting shops, making the app an engaging and lucrative experience.
Life2App's community empowers users to explore the potential of Web3 technologies across social, gaming, and mapping experiences.
The platform's deep integration with Web3 features like decentralized networks and blockchain technology showcases its commitment to innovation.
Life2App delivers personalized recommendations and social interactions through its AI-driven map, promoting user engagement and connectivity.

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Dev

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Why I Built My Own File Conversion API (And You Probably Shouldn't)

The creator needed to convert Markdown to HTML for a project and found API prices to be expensive.
Deciding to build their own file conversion API, they implemented it using Node.js, PostgreSQL, and vanilla JS.
Supported conversions include Markdown to HTML, HTML to PDF, PDF to Text, JSON to YAML, CSV to JSON, and text cleaning.
The API offers competitive pricing starting from 100 free conversions per month and going up to $0.0012 per conversion.
Lessons learned include the importance of security, support burden, market risk, and opportunity costs.
The decision to build the API was driven by absurd pricing gaps in the industry and a desire for sustainability.
The API has been live for a day with users signing up, and there are plans to launch on Product Hunt.
Interested users can try the API for file conversions at t3xtr.org with 100 free conversions for testing.

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Exploring @HostListener in Angular — Decorator series -2 🔍

The post explores the @HostListener decorator in Angular, a powerful but lesser-discussed feature for handling DOM events.
@HostListener enables binding event listeners to the host element of a directive or component, facilitating custom logic execution.
Syntax: @HostListener(eventName: string, [args: string[]])
Use Case 1: Demonstrated by zooming in text when hovering over specific elements using a directive and component setup.
Use Case 2: @HostListener can bind global events like window:resize or document:click, extending beyond host element events.
Use Case 3: Allows capturing specific key combinations for functionalities such as building shortcuts within components.
@HostListener is a syntactic sugar in Angular, transformed into host bindings during compilation (Ivy) for event handling logic.
The decorator helps maintain clean event handling logic close to components, integrates well with Angular's features, and promotes encapsulation.
@HostListener is beneficial for creating reusable directives, managing responsive layouts, and enhancing codebase efficiency in Angular applications.

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