AI Agents & Automation
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InsForge Hits 1 on Product Hunt and 3,600 GitHub Stars — Is This What Agent-Native Backends Look Like?
AI coding agents can write your frontend in minutes. They can scaffold APIs, generate database schemas, and wire up authentication flows. But ask them to actually deploy and operate a backend? That’s where things fall apart. You’re back to switching tabs, pasting configs, setting up RLS policies, and managing storage buckets by hand. The agent… Continue reading
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AstrBot Crosses 22K GitHub Stars as Developers Flock to Its 18-Platform AI Chatbot Framework
If you’ve ever tried to deploy an AI chatbot across multiple messaging platforms, you know the pain. QQ has its own protocol. WeChat Work needs a different integration. Telegram has its Bot API. Feishu, DingTalk, Slack, Discord — each one demands its own adapter, its own auth flow, its own message format. Building a single… Continue reading
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A CTO Called It “God Mode” — Inside GStack, Garry Tan’s 6-Role Claude Code Toolkit
“Your gstack is crazy. This is like god mode. Your eng review discovered a subtle cross-site scripting attack that I don’t even think my team is aware of.” That’s the text message Y Combinator CEO Garry Tan received from a CTO friend shortly after open-sourcing GStack — a set of six specialized Claude Code skills… Continue reading
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Axe: A 12MB Go Binary That Treats AI Agents Like Unix Programs
Every major AI tool in 2026 seems to be racing toward the same destination: bigger, more complex, more dependencies. Claude Code, Goose, Gemini CLI — they’re powerful, but they come with significant weight. JavaScript runtimes, Python environments, hundreds of megabytes of dependencies. Then there’s Axe, a Go-based CLI tool that takes the opposite approach. At… Continue reading
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CLI-Anything Turns GIMP, Blender, and LibreOffice Into Tools AI Agents Can Actually Control
The biggest bottleneck in AI agent development isn’t the models — it’s the software. An AI agent can write code, answer questions, and reason through complex problems, but ask it to batch-resize 500 images in GIMP or render a 3D scene in Blender, and it hits a wall. Professional desktop software was built for humans… Continue reading
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Rivian’s Founder Raised $500M to Build Factory Robots — Not Humanoids. Mind Robotics Explained.
While the tech world obsesses over humanoid robots doing backflips, RJ Scaringe is making a different bet. The Rivian CEO just raised $500 million for Mind Robotics, a company that wants to build robots for the factory floor — not the stage. “Doing cartwheels does not create value in manufacturing,” Scaringe said bluntly, taking a… Continue reading
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Bumble Bee Sent the Stock Up 25% — But Can an AI Really Play Matchmaker?
Bumble just bet its entire future on a single idea: what if an AI knew you well enough to find your perfect match? On March 11-12, 2026, founder Whitney Wolfe Herd unveiled “Bee,” an AI dating assistant that learns your values, relationship goals, and communication style through private conversations — then recommends one highly compatible… Continue reading
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$286 Million in 13 Months: How Wonderful Became the Fastest-Growing AI Customer Service Startup
Most AI customer service companies are fighting over the same English-speaking market. Wonderful looked at the other 85% of the world and saw a $200 billion opportunity that nobody was seriously chasing. Thirteen months after its founding, the Israeli startup has raised $286 million across three rounds, hit a $2 billion valuation, deployed AI agents… Continue reading
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Google Maps Ask Maps Turns Every Search Into a Conversation — and Kills the Old Q&A Feature
Google just threw its biggest punch at navigation in over a decade. On March 12, 2026, the company rolled out Ask Maps, a Gemini-powered conversational layer baked directly into Google Maps, alongside a complete overhaul of its navigation experience with Immersive Navigation. The update is live now on Android and iOS in the U.S. and… Continue reading
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NVIDIA Nemotron 3 Super: 120B Parameters, 12B Active — the Math Behind the Fastest Open-Source Reasoning Model
NVIDIA dropped a bombshell at GTC on March 10: Nemotron 3 Super, a 120-billion-parameter open model that only activates 12 billion parameters at inference time. The result? Throughput numbers that make competing open models look sluggish — 2.2x faster than GPT-OSS-120B and 7.5x faster than Qwen3.5-122B — while scoring competitively on reasoning, coding, and long-context… Continue reading
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