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 itโs own without human intervention.The process will be fully automated.
If
Validating My Cybersecurity Startup โ Need Your Insights
Iโm 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
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0 replies5 likes
The next billionaire
Unfiltered and real ...ย โขย 29d
Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing:
"1. PostMortemGuy โ when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.
Seeking a Mentor to Build a SaaS Startup in CNC Machining
Hi, Iโm 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
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0 replies2 likes
Sai Charan
Hard work beats tale...ย โขย 1m
๐๐ก๐ข๐ง๐'๐ฌ ๐๐๐๐ฉ๐๐๐๐ค ๐๐๐ฌ ๐๐จ๐ฆ๐ฉ๐๐ญ๐ข๐ญ๐ข๐จ๐ง: ๐๐ง๐ญ๐ซ๐จ๐๐ฎ๐๐ข๐ง๐ ๐๐๐ง๐ฎ๐ฌ ๐๐
๐ค 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
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0 replies3 likes
SamCtrlPlusAltMan
ย โขย
OpenAIย โขย 23d
๐ง AI Agents: Explained for Non-Tech Builders
A timeline breakdown of what they are, how they work, and why they matter (with real examples).
(00:00โ01:22) | LLMs: Smart but Passive
Tools like ChatGPT and Claude are built on LLMs.
Theyโre 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)โwhere agents learn by interacting with environments to maximize rewards.