How to Bypass the LinkedIn Sales Navigator 2,500 Search Result Limit Using Custom URLs (2026 Practical Guide) Meta Description / Featured Snippet Candidate (60–75 words): LinkedIn Sales Navigator limits each search to 2,500 results, even on paid plans. The most effective workaround is building custom search URLs that segment results by geography (states, metro areas), industry, company size, and other filters. By running dozens of segmented searches instead of one broad query, you can collect tens of thousands of targeted leads without hitting the cap — a technique still working reliably in 2026. Many sales professionals and lead-generation specialists hit …
Taming Claude Code: A Comprehensive Guide to Eliminating Terminal Lag and Restoring History with claude-chill Core Question: How can developers completely solve the terminal stuttering, flickering, and loss of scrollback history caused by Claude Code’s massive updates without modifying the application itself? When using advanced AI coding assistants like Claude Code directly within the terminal, many developers inevitably encounter a frustrating degradation in user experience: the interface begins to flicker violently, input responsiveness drops significantly, and—perhaps most critically—the terminal’s scrollback history appears to be wiped clean after every operation. This interruption breaks the “flow state” of development and causes users …
Mastra is a TypeScript framework designed for building AI-powered applications and agents. It enables developers to connect to over 40 model providers through a single interface, featuring autonomous agents, graph-based workflows, human-in-the-loop capabilities, and built-in observability for reliable production deployment. Building Production-Grade AI Applications with Mastra: The Ultimate TypeScript Framework In the rapidly evolving landscape of software development, the integration of Artificial Intelligence (AI) has shifted from a competitive advantage to an absolute necessity. Developers today are not just asked to write code; they are asked to orchestrate intelligence. However, the journey from a simple prototype to a robust, production-ready …
Unlock PostgreSQL Performance: 3 Unconventional Optimization Techniques When it comes to database optimization, most developers rely on the same familiar toolkit—tweaking queries, adding indexes to columns, denormalizing data, and repeating cycles of analyzing, vacuuming, and clustering. Conventional methods work, but thinking outside the box can deliver transformative performance gains for PostgreSQL. In this article, we’ll break down three practical yet underutilized PostgreSQL optimization strategies: eliminating pointless full table scans, optimizing indexes for low-cardinality scenarios, and enforcing uniqueness with hash indexes. Each addresses real-world performance pain points with actionable solutions. I. Eliminate Meaningless Full Table Scans with Check Constraints In daily …
FastScheduler: A Clean, Decorator-First Task Scheduler for Python If you’ve ever needed to run background tasks in a Python application—whether it’s sending daily reports, checking API health every few minutes, syncing data on weekdays, or generating monthly summaries—you’ve probably wrestled with scheduling libraries. Options like schedule, APScheduler, Celery (with beat), or even plain cron all work, but each comes with trade-offs: too basic, too heavy, complex setup, poor async support, or state loss on restart. FastScheduler takes a different approach. It’s a lightweight, modern Python library that prioritizes: Extremely readable decorator-based syntax Native async/await support Built-in persistence (survives restarts) Timezone-aware …
# Zero-Code Hardware Macros: Build a $8 Arduino Auto-Keyboard & Mouse in 30 Minutes > Core question: Can a non-embedded engineer build a plug-and-play hardware macro pad that presses keys and clicks the mouse without touching the OS kernel? One-line answer: Yes—one Arduino Leonardo, one Qt client, and the steps below are all you need; no drivers, no firmware blobs, no assembly code. ## 1. What Exactly Is “KeyPresser Hardware” and Why Bother? Summary: A two-part project (Qt GUI + Arduino firmware) that turns a Leonardo board into a USB-HID keyboard/mouse and lets you schedule or randomize any input sequence. …
GLM-4.7-Flash: A Complete Guide to Local Deployment of the High-Performance 30B Mixture of Experts Model GLM-4.7-Flash model logo In today’s AI landscape, large language models have become indispensable tools for developers and researchers. Among the latest innovations stands GLM-4.7-Flash—a remarkable 30 billion parameter Mixture of Experts (MoE) model designed specifically for local deployment. What makes this model truly stand out is its ability to deliver exceptional performance while requiring surprisingly modest hardware resources. If you’ve been searching for a powerful AI model that can run entirely on your personal hardware without compromising on capabilities, GLM-4.7-Flash might be exactly what you …
DeepSeek MODEL1 Revealed: FlashMLA Code Updates Hint at Next-Gen AI Model—How Will “Infinite Memory” Transform the Way We Use AI? Summary DeepSeek updated 114 files in its FlashMLA GitHub repository, with 28 references to a new MODEL1 model developed in parallel with the existing V3.2 series. MODEL1 introduces optimizations in KV cache layout, sparse attention mechanisms, and FP8 decoding, potentially incorporating Engram conditional memory technology for breakthrough long-context processing capabilities, expected to debut in the V4 flagship model launching mid-February. What Exactly Did DeepSeek Update on GitHub? In January 2025, coinciding with the one-year anniversary of DeepSeek-R1’s release, the DeepSeek …
AI and Distributed Agent Orchestration: What Jaana Dogan’s Tweet Reveals About the Future of Engineering A few days ago, Jaana Dogan, a Principal Engineer at Google, posted a tweet: “Our team spent an entire year last year building a distributed Agent orchestration system—exploring countless solutions, navigating endless disagreements, and never reaching a final decision. I described the problem to Claude Code, and it generated what we’d been working on for a year in just one hour.” This tweet flooded my Timeline for days. What’s interesting is that almost everyone could find evidence to support their own takeaways from it. Some …
AgentCPM: Open-Source Agents That Bring Deep Research to Your Device Can powerful AI assistants that handle complex, multi-step tasks only exist in the cloud, tethered to massive models and internet connections? What happens when a job requires over a hundred tool calls, but the data involved is too sensitive to leave a private server? The recent open-source release of AgentCPM-Explore and AgentCPM-Report by Tsinghua University, Renmin University of China, and ModelBest offers a compelling new answer. They demonstrate that long-horizon, deep-research capabilities can thrive on local devices with remarkably compact models. Overview & Core Breakthrough: Redefining On-Device Intelligence The Core …
The LightOnOCR-mix-0126 Dataset: The Foundation for Next-Generation Document AI Have you ever wondered how AI models that can “read” complex academic papers, accurately extract table data, and even understand intricate mathematical formulas are trained? The secret lies in a high-quality, large-scale, and precisely annotated training dataset. Today, we delve into a dataset quietly playing a pivotal role in the field of document intelligence: 「LightOnOCR-mix-0126」. It’s not merely a collection of text and images; it represents a cutting-edge methodology for generating high-quality OCR training data through “distillation.” What is LightOnOCR-mix-0126? In simple terms, LightOnOCR-mix-0126 is a large-scale dataset specifically constructed for …
WhisperVideo: Revolutionizing Long-Form Video Transcription with Visual Grounding Abstract WhisperVideo is a groundbreaking tool designed for multi-speaker long videos, offering precise speaker-to-visual alignment and intelligent subtitle generation. This guide will walk you through its technical architecture, installation process, and real-world applications while optimizing for search engine visibility and reader engagement. Technical Breakthroughs in Multi-Speaker Video Processing 1.1 Challenges in Long-Form Transcription Traditional systems struggle with: Identity Confusion: Mixing up speakers across dialogues Temporal Misalignment: Audio-video synchronization errors Inefficiency: Redundant detections in complex conversations WhisperVideo addresses these through: Visually Grounded Attribution: Linking speech to on-screen identities Memory-Enhanced Identification: Visual embeddings with …
Complete Guide to Claude Code Workflow Studio: Build AI Agent Workflows Visually Without Coding Building complex AI agent workflows has traditionally required deep technical expertise and significant time investment. Developers had to manually configure Claude Code files, understand intricate command structures, and write configuration files that were prone to errors and difficult to maintain. Claude Code Workflow Studio transforms this paradigm entirely by introducing a visual, drag-and-drop approach to AI workflow creation. This comprehensive guide explores every aspect of this powerful Visual Studio Code extension, from core concepts and installation to advanced features and practical applications, helping you master the …
Craft Agents: The Desktop Claude You Can Actually Work With A no-fluff, step-by-step field guide for college-level readers 1. What problem are we solving? You already know Claude is useful. The headache starts when you need it to: read 30 local files without copy-paste save changes back to disk keep each project in its own lane run while your VPN is down Craft Agents wraps Claude in a desktop shell and gives it a file system, a session manager and a permission gate. Everything happens on your machine; the cloud only sees the API calls you choose. 2. Is Craft …
HeartMuLa: A Comprehensive Guide to Open Source Music Generation and Understanding In the rapidly evolving landscape of artificial intelligence, the field of generative music has seen remarkable advancements. However, much of the cutting-edge progress has been locked behind closed-source commercial systems, limiting accessibility for researchers and developers. Enter HeartMuLa, a family of open-source music foundation models designed to bridge the gap between academic research and commercial-grade application. This ecosystem unifies music understanding, alignment, and controllable generation into a single, extensible framework. In this article, we will take an in-depth look at the HeartMuLa ecosystem, exploring its architecture, performance benchmarks, and …
In-Depth Look at TeleChat3: China Telecom’s Open-Source Thinking-Enabled Models Trained Fully on Domestic Hardware Summary / Meta Description TeleChat3 is China Telecom’s latest open-source large language model series, fully trained on domestic computing infrastructure. Released in December 2025, the lineup includes the 105B MoE model (TeleChat3-105B-A4.7B-Thinking, ~4.7B active parameters) and the 36B dense model (TeleChat3-36B-Thinking). Both feature explicit “Thinking” mode for step-by-step reasoning, achieving strong results in coding (SWE-Bench Verified 51), agent capabilities (Tau2-Bench 63.6), and multi-dimensional benchmarks. If you’re evaluating open-source LLMs in early 2026 — especially models that prioritize traceable reasoning, realistic engineering performance, and full-stack domestic sovereignty …
Microsoft OptiMind: The 20B-Parameter AI That Translates Business Problems Into Optimization Code This article aims to answer a fundamental question for engineers and product managers: How can someone without deep expertise in optimization modeling quickly and accurately turn a business problem described in plain English into executable mathematical code? The answer is Microsoft Research’s newly released OptiMind-SFT model. In fields like supply chain planning, manufacturing scheduling, and logistics, complex business decisions are often mathematical optimization problems at their core. However, the chasm between a spoken business need—“How do we schedule deliveries cheapest?”—and a formal Mixed-Integer Linear Programming model has long …
The Assistant Axis: Why LLMs “Break Character” — And How Researchers Are Fixing It Meta Description / Featured Snippet Candidate The “Assistant Axis” is a key direction in large language model activation space that measures how closely an LLM stays in its trained “helpful AI Assistant” persona. Deviations along this axis cause persona drift — leading to theatrical language, harmful suggestions, or successful jailbreaks. By capping activations on this axis during inference, researchers reduced persona-based jailbreak success rates significantly while preserving performance on major benchmarks (IFEval, MMLU-Pro, GSM8K, EQ-Bench). When you chat with modern large language models like Llama, Qwen, …
Maven Tools MCP: Redefining Dependency Management for JVM Projects with AI Intelligence In the rapidly evolving landscape of software development, dependency management has become a critical bottleneck. This blog explores Maven Tools MCP, an AI-powered solution that revolutionizes how developers handle JVM project dependencies. By integrating cutting-edge technology with practical usability, MCP addresses pain points like version conflicts, breaking changes, and security vulnerabilities—all while aligning with modern SEO and AI generation best practices. 🔍 The Problem: Why Traditional Dependency Management Fails Developers often face these challenges when upgrading frameworks: Time-Consuming Research: Manually navigating Maven Central or reading migration guides consumes …
PersonaPlex: How One Sentence and a Voice Clip Can Completely Transform an AI’s “Personality” and “Speech” Have you ever felt that your voice assistant sounds the same every time, lacking any real personality? Or have you imagined the same AI model being able to act as a knowledgeable teacher, a restaurant server recommending dishes, and even an astronaut handling a crisis in space? The groundbreaking technology we’re exploring today, PersonaPlex, turns this imagination into reality. It is a full-duplex conversational speech model whose core magic lies in allowing you to control the AI’s “persona” and “voice” in real-time, precisely and …