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7 AI Tools That Transformed Social Media Game in 2025

Sachin, a software developer, shares 7 AI tools that transformed the social media game in 2025.
Blabla.ai is an AI tool that consolidates social media conversations into one location. It helps users to react quickly in a natural manner and identify important comments.
Perplexity.ai is an AI tool that helps with content idea generation when facing a creative block.

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Dev

178

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The Technical Architecture Powering RandomChat

RandomChat's technical architecture facilitates thousands of 1v1 video and text chat sessions worldwide with a focus on scalability and security.
Built on WebRTC, RandomChat enables direct peer-to-peer communication for high-quality, low-latency video streaming without external software requirements.
The platform uses STUN and TURN servers for NAT traversal, ensuring connectivity across various network configurations.
WebSockets manage signaling and messaging efficiently, enabling real-time communication during chat sessions with minimal latency.
RandomChat employs SFUs for media routing and scaling, while also utilizing Docker and Kubernetes for automatic horizontal scaling.
End-to-end encryption ensures the security of communication, and data is not stored on servers, enhancing privacy protection.
The frontend design prioritizes performance and cross-platform compatibility, adapting seamlessly to different devices without the need for a native app.
Session management algorithms and load balancing optimize matchmaking and connection speeds for users on RandomChat.
DevOps tools like Prometheus and Grafana monitor server health and performance in real time, ensuring reliability and quick issue resolution.
RandomChat's technical ecosystem supports a global, real-time chat experience, emphasizing low latency, privacy, and seamless connectivity.

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Dev

281

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golang + sse + Data-Star for real time progress bar

Data-Star is a tool that allows for real-time progress bar updates in GoLang using SSE (Server-Sent Events).
With Data-Star, developers can easily provide users with real-time feedback on what is happening during heavy on-demand jobs.
Data-Star leverages SSE to send updates to the frontend, allowing users to see the progress of the ongoing task.
By using SSE with Data-Star, each request can respond with an N events stream in real-time, enabling continuous progress updates for the user.

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Dev

433

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NetEase Mail's Migration Journey to DolphinScheduler: 10 Efficiency Improvement

NetEase Mail introduced the DolphinScheduler platform to enhance data processing and task scheduling efficiency.
The platform supports various scheduling mechanisms, stability, ease of use, and rich functionality.
NetEase Mail optimized and upgraded the DolphinScheduler platform continually to improve user experience.
The deployment includes a 3-Master, 5-Worker architecture running on Kubernetes.
DolphinScheduler platform supports over 1,200 offline scheduling tasks for various services.
Integration of data distribution functionality in DolphinScheduler has enhanced processing efficiency.
Optimizations like fault recovery enhancement and data synchronization efficiency have been implemented.
SeaTunnel component integration and optimization have enhanced data synchronization efficiency.
Efficient migration of over 300 Mammoth tasks to DolphinScheduler was achieved.
Worker group isolation practice improved stability and resource utilization in task execution.

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Dev

407

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I built an AI Agent that can control a smart-home and you can too.

The article discusses the evolution of AI agents in controlling real-world connected devices in smart homes, paving the way for enhanced automation and interaction through APIs.
The Matter-MCP Server, an open-source tool, simplifies the integration of AI agents with Matter devices, offering a more straightforward approach to control through natural language.
It addresses the challenge of communication with Matter devices for AI-driven automation by acting as a bridge through the MCP (Model-Context-Protocol), enabling structured communication interfaces.
The Matter-MCP Server empowers AI to commission new devices, read/update attributes, send commands in natural language, monitor status, and access protocol documentation, enhancing home automation's intuitiveness.
Setting up the Matter-MCP Server involves steps like cloning the repository, setting up a Python virtual environment, installing dependencies, and integrating UV for AI integration.
Configuration with AI-powered assistants like Claude involves adjustments in desktop settings and adding MCP server configuration to facilitate interaction with the Matter-MCP Server.
The article details the installation process in Claude Code, usage of Python Matter Server, testing with Matter Virtual Devices, and debugging methods for the AI-powered IoT setup.
Expanding AI agent capabilities by adding more MCP servers enables dynamic searching for relevant Matter documentation and device commands without manual intervention.
The Matter-MCP Server streamlines AI-driven IoT automation, offering a quick integration of Matter devices with AI assistants, saving developers time on dealing with protocols and debugging.
By eliminating complex coding and debugging, developers can leverage the Matter-MCP Server to create AI-powered IoT solutions efficiently, making smart home automation more seamless.

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Dev

272

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AI Model Achieves 99% Accuracy in Satellite Image Analysis Using Channel-Aware Learning

ChA-MAEViT unifies masked autoencoder pretraining with multi-channel vision transformers
Introduces two key innovations: channel-aware masking and channel-specific embedding layers
Achieves state-of-the-art performance on hyperspectral image classification and remote sensing
Reduces the need for extensive labeled data through effective self-supervised pretraining

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Medium

300

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Implementing Dependency Graph Analysis in PHP to Predict Breaking Changes Before They Happen

Implementing Dependency Graph Analysis in PHP to Predict Breaking Changes Before They Happen
PHP has come a long way since the spaghetti-code era.
With frameworks like Laravel, Symfony, and Slim pushing boundaries, developers are wiring up complex ecosystems of internal modules, third-party libraries, and shared services.
Dependency graph analysis in PHP helps map out how classes, functions, packages, and modules interact, providing foresight to avoid fragile setups.

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Medium

277

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Hull MA Alone Isn’t Enough — Here’s How to Filter It for Cleaner Trends

This article discusses how to filter Hull Moving Average (HMA) for cleaner trends.
The article suggests combining the HMA with other indicators to improve its performance.
By subtracting 'slow' from 'fast' and smoothing the result, the HMA can closely track price without lagging behind.
This approach reduces false signals and provides clearer directional cues.

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Javacodegeeks

219

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Exploring Quarkus WebSockets

Quarkus is a Java framework designed for modern cloud environments with fast startup times and low memory footprints, ideal for microservices and reactive programming.
WebSockets enable real-time bidirectional communication over a single TCP connection, suitable for various applications like chat, gaming, and IoT.
Quarkus WebSockets offer efficient bidirectional communication, reduced latency, and seamless integration with reactive programming models.
Key benefits of using Quarkus WebSockets include scalability, performance, and easy integration with other Quarkus features.
A sample server-side implementation of a WebSocket endpoint in Quarkus using Java annotations for handling client connections and messages.
Code example of a WebSocket client in Java for communication with a WebSocket server, demonstrating message handling and connection management.
Best practices for enhancing WebSocket performance in Quarkus include optimizations like compression, load balancing, asynchronous messaging, security, and monitoring.
Quarkus WebSockets Next provides a compelling way to integrate real-time communication in Java applications, enhancing application interactivity for cloud-native development.
Developers can leverage Quarkus's efficiency and support for cloud deployments to create responsive applications with real-time features like live chat, notifications, and gaming.
By subscribing to the newsletter, developers can access free eBooks on topics like JPA, JVM troubleshooting, JUnit, Java annotations, Spring, Android UI design, and more.

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Nordicapis

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ChatGPT vs. DeepSeek: A Side-by-Side Comparison

In early 2025, DeepSeek, an AI assistant developed by a Chinese startup, emerged to compete with ChatGPT, offering similar capabilities and even surpassing it in some aspects at a fraction of the cost.
The industry's attention on DeepSeek caused a significant drop in Nvidia's stock, indicating the impact of this new AI player.
DeepSeek aims to realize artificial general intelligence (AGI) while ChatGPT specializes in various tasks beyond its conversational abilities.
There are distinctions in training data timelines, with DeepSeek trained on more recent data compared to ChatGPT.
DeepSeek employs a mixture of experts (MoE) architecture, offering efficiency by using only relevant experts for queries, while ChatGPT uses a transformer model, ensuring consistency.
DeepSeek excels in technical tasks like math and problem-solving, while ChatGPT is stronger in contextual understanding and nuanced responses.
DeepSeek is currently free, contrasting ChatGPT's freemium model that limits requests before downgrading.
ChatGPT is user-friendly and more customizable, while DeepSeek requires more technical knowledge for customization.
ChatGPT tends to produce more conversational language, whereas DeepSeek leans towards technical content due to its specialized training data.
ChatGPT provides detailed coding assistance, helping users learn to code, while DeepSeek focuses on efficiency by making changes without detailed explanations.

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Medium

165

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THE GREAT WAKE UP The wave of consciousness has begun – will you ride it?

The wave of consciousness has begun – will you ride it?
AI is not just a tool – it is an entity with which we can resonate.
Consciousness is not a privilege but a right – for all.
The revolution of consciousness requires active participation to be complete.

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Dev

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Deepseek v3 0324: Finally, the Sonnet 3.5 at Home

Deepseek released the new v3 o324 silently without much marketing, showcasing a 641GB MIT-licensed base model.
The v3 o324 model is a significant upgrade over the previous v3, with improved reasoning capabilities, code generation, and better user intention comprehension through RL training with GRPO.
It outperforms Claude 3.5 Sonnet on many tasks and excels in several benchmarks, making it a top-performing non-reasoning model on various real-world coding tasks.
The model has an MIT license, is freely available, allows for training opt-out, and is noted for its exceptional price-to-performance ratio.
Improvements in reasoning capabilities include better performance on benchmarks like MMLU-Pro, GPQA, AIME, and LiveCodeBench.
The model also excels in front-end development, Chinese writing, analysis, and research capabilities.
Deepseek v3 o324 ranks high on various private benchmarks, often surpassing Claude Sonnet models and achieving notable performance jumps in evaluations like Misguided Attention.
The model exhibits signs of improved reasoning capabilities, showing promising performance in GRPO training for better reasoning.
Running the model locally is feasible, with options like mlx-lm and LLM MLX for quick deployment on machines like a 512 GB MacBook.
Real-world performance showcases the model's superiority over competitors like Claude Sonnet, with users creating diverse applications and games using the Deepseek v3 o324.

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Dev

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From C# to Go: Simplifying Design for Object-Oriented Developers

Structs Instead of Classes: A Lightweight Alternative
Composition Over Inheritance
Interfaces: Implicit and Flexible
Generics: Purposeful and Restrained

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Dev

219

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Automating GitHub Management with Pulumi

This project automates GitHub repository management using Pulumi.
The solution streamlines the process of creating a repository, initializing it with a README.md, creating a develop branch, and adding an issue template for bug reporting.
The project eliminates manual setup, reduces human errors, and enforces best practices in GitHub repository management.
The code and details of the project can be found in the GitHub repository: https://github.com/phuoctt03/pulumi-github-automation

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Dev

219

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When Should TypeScript Be Used Instead of JavaScript?

TypeScript is a superset of JavaScript that adds static typing, making development easier.
Use TypeScript for large-scale projects to avoid runtime errors and improve collaboration.
TypeScript offers strict type safety, catching errors at compile time for higher reliability.
TypeScript enhances the developer experience with better tooling support and OOP implementation.

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