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Looking for a technical co-founder who is a skilled developer with AI-automation expertise. We are working on an ai-powered troubleshooting agent which can fix your device on it’s own without human intervention.The process will be fully automated. If

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Validating My Cybersecurity Startup – Need Your Insights I’m building a unified cybersecurity agent-based software integrating EDR, XDR, MXDR, SOC, DLP, and Data Classification for Windows, Linux, and Mac, with real-time alerts and AI-powered report

Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing: "1. PostMortemGuy – when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.

We’re building Drufiy – your AI-powered system assistant that automates tasks, fixes issues, and keeps your device running smooth like butter. Think: Jarvis for your computer. After some team changes, we’re looking for a founding CTO to join us as

Seeking a Mentor to Build a SaaS Startup in CNC Machining Hi, I’m Biju , an engineer with 14+ years in CNC machining, fixture design, and process optimization. I see a huge untapped opportunity in manufacturing SaaS, where AI-driven automation is st

𝐂𝐡𝐢𝐧𝐚'𝐬 𝐃𝐞𝐞𝐩𝐒𝐞𝐞𝐤 𝐇𝐚𝐬 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧: 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐢𝐧𝐠 𝐌𝐚𝐧𝐮𝐬 𝐀𝐈 🤖 Manus AI has just launched what might be the first truly autonomous AI agent that can operate independently on a computer just like a human would.

Creating Problem for New Age Intelligent For centuries, humanity has dreamed of true intelligence, something beyond basic automation and machine learning tricks. Yet, in 2025, we are still stuck with AI that spits out text, hallucinates data, and fai

🧠 AI Agents: Explained for Non-Tech Builders A timeline breakdown of what they are, how they work, and why they matter (with real examples). (00:00–01:22) | LLMs: Smart but Passive Tools like ChatGPT and Claude are built on LLMs. They’re great at

A (Long) Peek into Reinforcement Learning How do AI agents master games like Go, control robots, or optimize trading strategies? The answer lies in Reinforcement Learning (RL)—where agents learn by interacting with environments to maximize rewards.