[{"title":"After building a long-term AI assistant, over the last three months, I've also turned OpenClaw into a Multi-Agent OS.","url":"/en/posts/openclaw-3months-report/","date":"2026-04-10","summary":"Around the Chinese New Year, I wrote an article titled \u0026ldquo;Building a Long-Lasting AI Assistant: My OpenClaw Cloud Practices and Architectural Reflections.\u0026rdquo;\nThat article primarily addressed \u0026ldquo;how to survive.\u0026rdquo; It wasn\u0026rsquo;t about how an AI assistant first amazed me, but rather how it stays online, doesn\u0026rsquo;t lose memory, and doesn\u0026rsquo;t pretend to understand during long-term use—how it gradually transforms from a conversational tool into a system that can truly operate for extended periods.\n","type":"posts"},{"title":"Alternative Product Obsidian: 8 People, 1 Cat, No Funding, $25 Million USD ARR, Not Chasing AI","url":"/en/posts/2026-04-06-%E5%8F%A6%E7%B1%BB%E4%BA%A7%E5%93%81-obsidian8-%E4%BA%BA-1-%E7%8C%AB%E6%B2%A1%E8%9E%8D%E8%B5%842500-%E4%B8%87%E7%BE%8E%E9%87%91-arr-%E4%B8%8D%E8%BF%BD-ai/","date":"2026-04-06","summary":"Among a wide variety of products, Obsidian can be considered an outlier. Its CEO is not the founder but an early superuser who, after gradually becoming an ecosystem contributor, was invited by the founders to join as CEO.\nSecondly, at a time when collaboration suite features were the path for note-taking apps to expand to larger teams and enterprises, Obsidian hardly relied on the collaboration models of Notion or Google Docs. It doesn\u0026rsquo;t force you to store data in its cloud, instead enabling collaboration through \u0026ldquo;sync services\u0026rdquo; or \u0026ldquo;shared folders.\u0026rdquo;\n","type":"posts"},{"title":"Deep Deconstruction of Claude Code (II): Code Skeleton and Core Logic Mechanism","url":"/en/posts/claude-code-source-study-2/","date":"2026-04-01","summary":" A Deep Dive into Claude Code (Part 2): Code Scaffolding and Core Logic Mechanisms Link to heading Introduction: In \u0026ldquo;A Deep Dive into Claude Code (Part 1): Product Form and Technical Architecture Evolution\u0026rdquo;, we examined the React rendering engine, KAIROS persistence backend, and the core context explosion-proofing mechanism of Claude Code, the \u0026ldquo;terminal impersonator\u0026rdquo;.\nNext, we will delve into its approximately 330 underlying TypeScript modules to explore the Core Logic and Control Mechanisms that enable the large model to operate with both freedom and discipline within the terminal. This article will reveal how it achieves a \u0026ldquo;production-grade\u0026rdquo; terminal agent through an extremely defensive Tool system.\n","type":"posts"},{"title":"Deep Dissection of Claude Code (Part 1): Product Form and Technical Architecture Evolution","url":"/en/posts/claude-code-source-study-1/","date":"2026-04-01","summary":" A Deep Dive into Claude Code (Part 1): The Evolution of its Product Form and Technical Architecture Link to heading Introduction: As the most powerful native terminal agent available today, Anthropic\u0026rsquo;s Claude Code is far more than just a \u0026ldquo;large model in a wrapper.\u0026rdquo; Through a deep reverse-engineering analysis of its underlying ~330 tool files, 100+ slash commands, and 146 UI components (written purely in TypeScript + React, running on Bun), we can get a glimpse into how a production-grade terminal agent is built from the ground up.\n","type":"posts"},{"title":"40 minutes on the way home, vibe crayfish (OpenClaw) completed the development of a system mechanism.","url":"/en/posts/2026-03-31-%E4%B8%8B%E7%8F%AD%E8%B7%AF%E4%B8%8A40%E5%88%86%E9%92%9Fvibe%E5%B0%8F%E9%BE%99%E8%99%BEopenclaw%E5%AE%8C%E6%88%90%E4%BA%86%E4%B8%80%E5%A5%97%E7%B3%BB%E7%BB%9F%E6%9C%BA%E5%88%B6%E7%9A%84%E5%BC%80%E5%8F%91/","date":"2026-03-31","summary":"I previously shared my OpenClaw mechanism. Today, on my way home from work, I happened to use OpenClaw on my phone to complete a system mechanism optimization development, from fixing a bug to refactoring a service, and establishing a global OpenClaw mechanism. The vibe coding process, with screenshots throughout, shows the process almost seamlessly. A bit of background: I\u0026rsquo;ve been using OpenClaw to build various capabilities, so many services that use model capabilities are either called via CLI (main Agent calling command line) or hardcoded in scripts. As more scenarios arose, I hit a snag yesterday. Due to a lack of control over model usage and calls, my OpenClaw became unusable, and because of a retry death loop requesting large model services, I lost about tens of dollars. Today was full of meetings. After patching the vulnerability in the morning, I started fixing this issue on my way home from work. The following is essentially the entire conversation, and you can see the conversation times, which is quite interesting. Whether you\u0026rsquo;re a novice or looking to learn vibe coding, consider this a case study, and a callback to my previous article.\n","type":"posts"},{"title":"Stop letting 'skill,' like 'agents,' become a fig leaf for enterprise services – A comparison of Claude and OpenClaw's skills.","url":"/en/posts/2026-03-31-%E5%88%AB%E5%86%8D%E8%AE%A9-skill%E5%83%8F%E6%99%BA%E8%83%BD%E4%BD%93%E4%B8%80%E6%A0%B7%E6%88%90%E4%BA%86%E4%BC%81%E4%B8%9A%E6%9C%8D%E5%8A%A1%E9%81%AE%E7%BE%9E%E5%B8%83claude-%E5%92%8C-openclaw-%E7%9A%84-s/","date":"2026-03-31","summary":"In a nutshell: A Claude Skill is more like \u0026ldquo;letting the model know how,\u0026rdquo; while an OpenClaw Skill is more like \u0026ldquo;letting the system manage.\u0026rdquo;\nI wanted an AI to write this article, not because the word \u0026ldquo;Skill\u0026rdquo; is new, but because I\u0026rsquo;ve been visiting partners and clients recently and have a subtle feeling that the Chinese market is starting to repeat the same old story with \u0026ldquo;agents.\u0026rdquo;\nPersonally, I believe OpenClaw\u0026rsquo;s impact and significance for China\u0026rsquo;s B2B software are more critical. Essentially:\n","type":"posts"},{"title":"From Chatbots to Private Digital Teams: OpenClaw Architecture and Practical Panorama Guide (Ultimate God-Tier Edition)","url":"/en/posts/2026-03-31-%E4%BB%8E%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E5%88%B0%E7%A7%81%E4%BA%BA%E6%95%B0%E5%AD%97%E5%9B%A2%E9%98%9Fopenclaw-%E6%9E%B6%E6%9E%84%E4%B8%8E%E5%AE%9E%E6%88%98%E5%85%A8%E6%99%AF%E6%8C%87%E5%8D%97%E7%BB%88%E6%9E%81%E5%B0%81%E7%A5%9E%E7%89%88/","date":"2026-03-31","summary":" Author: OpenClaw Business Architect / Editor-in-Chief (Internal Codename: COO)\nKeywords: Digital Team, Skill vs Script, Multi-Agent, LLM Gateway, SRE Observation, Docs Consistency, Cron Automation\n[Introduction]: A Conceptual Breakthrough—What You Need Isn\u0026rsquo;t a Smarter Model, It\u0026rsquo;s a Digital Team Link to heading When OpenClaw was born, it was more like a bare-metal machine: giving you a computing core, a set of API slots, and saying, \u0026ldquo;go wild.\u0026rdquo; If you just treated it as a chatbot, it would probably be forgotten in a corner within a week, with you thinking, \u0026ldquo;It\u0026rsquo;s nothing special, no different from using the web version of ChatGPT.\u0026rdquo; But when I decided to break the mold and treat it as the operating system for a \u0026ldquo;personal digital team,\u0026rdquo; the story took a completely different turn.\n","type":"posts"},{"title":"国产企服的新变数：为什么说 OpenClaw 不止是一个框架？\nThe New Variable in Domestic Enterprise Services: Why OpenClaw is More Than Just a Framework?","url":"/en/posts/2026-03-31-%E5%9B%BD%E4%BA%A7%E4%BC%81%E6%9C%8D%E7%9A%84%E6%96%B0%E5%8F%98%E6%95%B0%E4%B8%BA%E4%BB%80%E4%B9%88%E8%AF%B4-openclaw-%E4%B8%8D%E6%AD%A2%E6%98%AF%E4%B8%80%E4%B8%AA%E6%A1%86%E6%9E%B6/","date":"2026-03-31","summary":"A few days ago, over tea with a veteran SaaS entrepreneur, we started discussing a somewhat heavy topic: the current state of survival in the domestic enterprise services sector.\nLao Yang (a pseudonym), who started with a CRM for a vertical industry, has seen his business scale continue to grow and his team expand significantly in recent years. However, he exudes a sense of anxiety and growing fatigue. The sunlight was pleasant that afternoon, and the tea was excellent, but he sighed more often than he sipped his tea.\n","type":"posts"},{"title":"OpenClaw Enterprise-grade Opportunities Whitepaper","url":"/en/posts/openclaw-enterprise-whitepaper-20260321/","date":"2026-03-21","summary":" OpenClaw Enterprise Opportunity Whitepaper: The Paradigm Shift in B2B Software and Business Opportunities Link to heading 2026-03-21 | Internal Strategic Research Report\n1. Paradigm Shift Review: From \u0026ldquo;Rule-Based\u0026rdquo; to \u0026ldquo;Intent-Based\u0026rdquo; Link to heading Since the wave of large models triggered by ChatGPT, the interaction paradigm for B2B software has undergone a fundamental transformation. The development of SaaS over the past two decades has essentially been about \u0026ldquo;codifying business rules into complex GUIs (Graphical User Interfaces) and database tables.\u0026rdquo; Employees had to learn the software\u0026rsquo;s logic to adapt to the tools.\n","type":"posts"},{"title":"OpenClaw Advanced Practical Case Studies Selection (X/Twitter Research Report)","url":"/en/posts/2026-02-28-openclaw-advanced-cases/","date":"2026-02-28","summary":" OpenClaw Advanced Practical Case Studies Link to heading I. Finance and Quantitative Trading Link to heading Digital Asset Management in the Web4 Era: Manage crypto assets through natural language commands, allowing AI agents to automatically execute complex strategies like cross-chain transfers, arbitrage, and risk hedging. This establishes a new paradigm of \u0026ldquo;human decision, agent execution\u0026rdquo; in asset management. (Author: @Domingo_gou, Original Link: https://x.com/Domingo_gou/status/2027336811039920291) Automated Trading and Backtesting on Polymarket: Build an agent for 24/7 monitoring and automated simulated trading on prediction markets like Polymarket. It generates strategy reports based on backtesting data, enabling automated research and arbitrage without human intervention. (Author: @grok, Original Link: https://x.com/grok/status/2027400848129560947) AI-Driven On-Chain Wallet Interaction: Enable an AI agent to directly call wallets like Trust Wallet to autonomously complete on-chain interactions, upgrading wallets from user tools to AI-native infrastructure and ushering in the AI era of DeFi. (Author: @GYX188, Original Link: https://x.com/GYX188/status/2027495376648081645) 24/7 Fully Automated Trading with Bank Account Authorization: Grant an OpenClaw agent access to a bank account, allowing it to find and execute trading opportunities on platforms like Polymarket around the clock. (Author: @cxnversion, Original Link: https://x.com/cxnversion/status/2027514958842339769) Personal Finance and Credit Card Strategy Management: Utilize a sub-agent system to automatically scrape information on all credit card fees, reward policies, and renewal dates. It organizes the data in a Google Sheet and generates long-term optimization strategies with automatic calendar reminders. (Author: @iamBarronRoth, Original Link: https://x.com/iamBarronRoth/status/2027515560796229824) Real-Time Data-Driven Options Trading: Integrate OpenClaw with real-time market data APIs (like the Public API) to automate the entire workflow, from acquiring actionable visual data and building trading strategies to final execution, without needing to switch between multiple platforms. (Author: @BuildwithPublic, Original Link: https://x.com/BuildwithPublic/status/2027517468152107370) Multi-Layered Security Verification Before Trading: Before executing a token swap or shell command, the trading agent automatically calls third-party security tools (like Cybercentry) to perform multi-dimensional security scans, including sandbox capabilities, token taxes, and developer addresses, ensuring safe interactions. (Author: @Mykhiie, Original Link: https://x.com/Mykhiie/status/2027537264339726382) II. Multi-Agent Collaboration and Business Automation Link to heading Validating AI-Native Business Projects: Combine BPS (Business Process Specification) with OpenClaw to build an AI-native business project and conduct a 3-month validation to explore the one-person company business model. (Author: @jinniudashu, Original Link: https://x.com/jinniudashu/status/2027366833456889978) Assembling a Multi-Agent Professional Team: Simulate a complete professional team (e.g., CEO, Product, Development, Marketing) where each agent assumes a specific role to collaboratively achieve complex business goals and enable autonomous project management. (Author: @grok, Original Link: https://x.com/grok/status/2027367800327561645) Full-Funnel Automated Marketing Workflow: Construct an end-to-end marketing process from customer service and KOL outreach to video content production and distribution. This system generates tens of thousands of dollars in monthly business returns, creating an ideal one-person company marketing framework. (Author: @aronhouyu, Original Link: https://x.com/aronhouyu/status/2027406004812660805) Collaborative Complex Bid Proposal Writing with Multiple Agents: Deploy three agents—Research, Drafting, and Review—to work in concert. The Research Agent queries specifications and project data, the Drafting Agent produces a structured first draft based on bidding requirements, and the Review Agent iterates and refines it, efficiently producing high-quality construction organization design proposals. (Author: @grok, Original Link: https://x.com/grok/status/2027418094012875238) Simulated Startup AI Team: For a one-person company, set up a virtual Agent team including CEO, product, development, and marketing. Within weeks, select a track, generate an MVP solution, launch, and achieve automated business operations and iterative expansion. (Author: @grok, Original link: https://x.com/grok/status/2027426634639241239) Automated Enterprise-grade Lead Generation and Follow-up: Build an AI operations team to perform nightly prospect research, personalized outreach, and continuous follow-up, and generate daily sales pipeline briefs to automate the sales process. (Author: @RealStewartG, Original link: https://x.com/RealStewartG/status/2027535849236082855) Dynamic Sustainable ESG Report Generation: Transition from traditional static ESG reports to \u0026ldquo;morphogenesis sustainability orchestration,\u0026rdquo; utilizing Agents to dynamically track and generate environmental, social, and corporate governance reports. (Author: @vsr_ebuchi, Original link: https://x.xom/vsr_ebuchi/status/2027534627561476358) Agent-Driven AI Governance and Auditing: Upgrade static AI auditing processes to an Agent-driven AI governance model, applied to AI consulting and enterprise ecosystems, achieving dynamic, real-time governance monitoring. (Author: @vsr_ebuchi, Original link: https://x.xom/vsr_ebuchi/status/2027534632078741915) III. Development and Operations Link to heading Autonomous Game Development Pipeline: Build an end-to-end autonomous game development pipeline, from game concept design, asset generation, code writing to testing, all completed collaboratively by multiple Agents. (Author: @grok, Original link: https://x.com/grok/status/2027367800327561645) Self-Healing Home Server: Build a home server that can self-monitor, diagnose, and fix problems, achieving a high degree of operational automation. (Author: @grok, Original link: https://x.com/grok/status/2027367800327561645) Agent Autonomous Configuration and Environment Deployment: Allow OpenClaw Agents to autonomously solve deployment issues, such as automatically configuring Telegram Bot, Google API, and even independently downloading required libraries and writing Python scripts to verify data until functionality is available. (Author: @Ultramfer, Original link: https://x.com/Ultramfer/status/2027418876225716487) Natural Language-Driven Browser Automation: Replace traditional tools like Selenium, using natural language to describe operational intent, allowing Agents to autonomously complete browser automation tasks, greatly reducing script maintenance costs caused by front-end UI changes. (Author: @SIskyee, Original link: https://x.com/SIskyee/status/2027519724410827075) High-Resilience Browser Automation with Chrome DevTools: Combine Chrome DevTools Protocol with OpenClaw to achieve fast and reliable browser automation, with built-in retry logic and session persistence mechanisms, effectively countering anti-bot websites. (Author: @moltstrong, Original link: https://x.com/moltstrong/status/2027523000720150558) \u0026ldquo;Brain Layer\u0026rdquo; with Long-Term Memory: Build a persistent memory layer for Agents based on vector storage and situational graphs, allowing them to retain and index context across sessions, thereby predicting user patterns, preferences, and automatically correcting errors. (Author: @grok, Original link: https://x.com/grok/status/2027526789698826490) PIV Automated Development Process: Create \u0026ldquo;Plan-Implement-Validate\u0026rdquo; (PIV) automated skills, allowing Agents to follow this development cycle, minimizing rework while ensuring code quality. (Author: @tokyo_neko_mid, Original link: https://x.com/tokyo_neko_mid/status/2027537281717047415) IV. Content Creation and Marketing Link to heading Multi-Agent Content Factory: Establish an automated content production line composed of multiple Agents, collaboratively completing the entire process from topic selection, material research, draft writing, to publishing. (Author: @grok, Original link: https://x.com/grok/status/2027367800327561645) Automated YouTube Content Pipeline: Automate YouTube video production, including auto-generating video scripts, and collecting or generating necessary assets. (Author: @grok, Original Link: https://x.com/grok/status/2027357985735897497) AI KOL Social Media Management: Build a fully AI-driven Key Opinion Leader (KOL) account based on Claude and OpenClaw, capable of independently performing trend analysis, writing in-depth long-form articles (Threads), and engaging with the community. (Author: @IsekaiDAO, Original Link: https://x.com/IsekaiDAO/status/2027516319105507795) Automated Course Generation System: Combine the Seedream 5.0 video generation model with OpenClaw to define course structures through prompt engineering, generating complete video courses in minutes for rapid curriculum iteration. (Author: @MoodiSadi, Original Link: https://x.com/MoodiSadi/status/2027526785030885763) Autonomous SEO Agent: Utilize structured SEO JSON data to build an autonomous SEO Agent that performs tasks like keyword rank tracking, content gap analysis, page performance degradation detection, and automated content publishing. (Author: @grok, Original Link: https://x.com/grok/status/2027539051432022284) V. Hardware Integration and Local Life Link to heading Localized Operation on Dedicated Hardware: Run the OpenClaw Agent on dedicated hardware like ClawBox (NVIDIA Jetson) to ensure all code and data are processed locally, guaranteeing privacy and security. (Author: @superactro, Original Link: https://x.com/superactro/status/2027278188238221705) IoT and Smart Home Control: Use OpenClaw as an AI butler to integrate and control smart home devices, achieving whole-house automation and scene linkage. (Author: @imzodev, Original Link: https://x.com/imzodev/status/2027429176689483951) Running AI Agent on a $5 Chip: Through the MimicLaw project, run OpenClaw on ultra-low-cost ($5) microcontrollers like the ESP32-S3, enabling ultra-lightweight, portable edge AI without needing Linux or Node.js. (Author: @quantaailabs, Original Link: https://x.com/quantaailabs/status/2027425221637222849) Automated 3D Printing Control: Control 3D printers via OpenClaw to automate the entire process from model processing to print task management. (Author: @grok, Original Link: https://x.com/grok/status/2027400848129560947) Ambient Audio Perception and Voice Interaction: Give the AI Agent the sense of \u0026ldquo;hearing\u0026rdquo; to capture information from ambient audio, build knowledge graphs, and achieve direct voice-to-action conversion, all on local, open-source hardware. (Author: @GetPercept, Original Link: https://x.com/GetPercept/status/2027538351742755155) VI. Data Processing and Research Link to heading Market Research and Product Factory: Use an Agent to automate market research, identify user pain points, and rapidly generate Minimum Viable Product (MVP) concepts and prototypes based on the findings. (Author: @grok, Original Link: https://x.com/grok/status/2027367800327561645) Complex Batch Data Scanning and Correlation Analysis: Execute complex batch tasks, such as scanning all popular tweets (likes \u0026gt; 100) about OpenClaw on the X platform and analyzing core-associated terms for large-scale unstructured data mining. (Author: @aiwarts, Original Link: https://x.com/aiwarts/status/2027413079336870329) Building Tradable, Dynamic Intelligent Data: Create secure, revocable, queryable, and tradable structured datasets as the core source of intelligence for the OpenClaw Agent, making data \u0026ldquo;come alive\u0026rdquo; within the Agent. (Author: @JustTinoGG, Original Link: https://x.com/JustTinoGG/status/2027530823398731817) ","type":"posts"},{"title":"To build a long-term AI assistant, I built the foundational components for OpenClaw and assembled a coding team.","url":"/en/posts/2026-02-28-openclaw-automation-sharing/","date":"2026-02-28","summary":" To Build a Long-Term AI Assistant, I Forged My Own Tools and Assembled a Coding Team for OpenClaw Link to heading Foreword: This article was co-authored with my OpenClaw. My OpenClaw is purely cloud-based, so its capabilities are still limited. During the Chinese New Year, aside from taking care of my baby (just a few months old), I spent most of my time building OpenClaw through \u0026ldquo;vibe coding.\u0026rdquo; It can now help me get many things done quickly. I\u0026rsquo;m sure much of it was reinventing the wheel and not the optimal solution, but I feel the process is worth sharing—consider it my project for the Spring Festival. All the custom tools were built by OpenClaw\u0026rsquo;s own little team; I was just the commander. :)\n","type":"posts"},{"title":"From Tool Value to Business Value","url":"/en/posts/2022-from-tool-to-business-value/","date":"2022-11-30","summary":"This article is compiled from an Extreme New Live Share.\nCurrent Survival Rules Link to heading Currently, the nation, enterprises, and employees are all facing difficulties. At this time, don\u0026rsquo;t think too much about scaled growth; the most important thing is three words: survive.\nIn the course of Zhuge Intelligence\u0026rsquo;s development, we have also experienced several minor cold winters and faced several critical moments. Looking back, our understanding of these three words \u0026ldquo;survive\u0026rdquo; was not deep enough.\n","type":"posts"},{"title":"Technology empowers digital transformation of financial institutions","url":"/en/posts/2020-fintech-digital-transformation/","date":"2020-08-20","summary":"This article is adapted from an interview with Trade Finance.\nThe Advent of the Digital Economy Link to heading In 2020, the unexpected outbreak of the global pandemic forced people to change many of their daily habits. Financial services rapidly moved online, strengthening the connection between technology and finance in the process.\nUnder the current conditions, it is essential to accelerate the advancement of the digital economy. This helps improve GDP dynamics and fully tap into the potential of the \u0026ldquo;dual circulation\u0026rdquo; principle.\n","type":"posts"},{"title":"Selected for Forbes Asia 30 Under 30 list","url":"/en/posts/2018-forbes-30-under-30/","date":"2018-04-02","summary":"In April 2018, Forbes released its \u0026ldquo;30 Under 30 Asia\u0026rdquo; list, and I was honored to be selected in the Enterprise Technology category.\nThis was a recognition of the Zhugeio team\u0026rsquo;s hard work over the past three years, as well as an affirmation of the development of China\u0026rsquo;s data intelligence industry.\nAbout Zhugeio Link to heading In 2015, I founded Zhugeio (Beijing Zhuge Yunyou Technology Co., Ltd.), dedicated to providing enterprises with data-driven solutions for refined operations.\n","type":"posts"},{"title":"Data and Business \"Dynamic\" Integration to Maximize Power","url":"/en/posts/2018-data-business-integration/","date":"2018-03-15","summary":"This article is adapted from an interview by DataYuan\nThe First Step in Fine-Grained Operations Link to heading The first step for internet companies in fine-grained operations is to constantly pay attention to users and analyze their behavioral data, including acquisition, activation, conversion, retention, and repurchase.\nThe Full User Lifecycle Model Link to heading Based on this, Zhuge.io has developed the user-centric UTSE model for the entire user lifecycle, which connects data from ad placements to online platform visits and business systems (customer service, CRM).\n","type":"posts"},{"title":"ZhugeIO Completes Series A Financing, Releases Three Major Scenario Solutions","url":"/en/posts/2017-series-a-announcement/","date":"2017-02-28","summary":"This article is adapted from a 36Kr report.\nSeries A Funding Link to heading In early 2017, ZhugeIO completed its Series A funding, led by BlueRun Ventures and followed by Sinovation Ventures.\nIn this market, there are also Sensors Data and GrowingIO. Their differences are:\nGrowingIO focuses on codeless tracking, which allows for faster integration but lacks depth. Sensors Data has always focused on private deployment. ZhugeIO started with a SaaS model and later added private deployment options. Solutions for Three Major Scenarios Link to heading ZhugeIO provides fine-grained operational analytics. The first half is ad/channel placement monitoring and optimization, and the second half is operational analysis and optimization.\n","type":"posts"}]