Anthropic just announced a SpaceX partnership for more compute, and they're using it to double Claude Code's five-hour rate limits, kill the peak hours throttle, and raise API rate limits across the board. In this video I break down exactly what changed, why it matters, and the five things you should consider doing differently if you build with Claude.

I built a Claude skill for Shopify owners Here's what it takes from you: → Your product URL (Just this) And Here’s what it does: → Pulls your product data directly from Shopify → Generates multiple high-converting ad concepts tailored to your brand → Produces polished, platform-ready creatives automatically → Eliminates endless back-and-forth with designers A complete creative pipeline—from URL to final asset. If you're spending heavily on ads but still stuck in manual creative production, you're leaving both time and money on the table. Below are some generated examples and a demo video

If you’re managing your • Leads • Follow-ups • Replies manually in 2026, this is for you. I’m currently building my portfolio in WhatsApp AI Agents, so I’m offering a FREE WhatsApp Agent setup for the first 5 businesses — no strings attached. What these agents can do for you: Reactivate old leads Follow up efficiently without missing anyone Reply to leads instantly If you’re interested, DM me or comment below.

Most people building voice AI agents are still using a stack like this: • STT – Speech to Text • LLM – The brain • TTS – Text to Speech Tools like Vapi make this easier, but the stack still involves multiple services and the cost can add up quickly. Recently I experimented with Gemini's Native Audio model, and it simplifies the entire architecture. Instead of using multiple tools, Gemini can handle the full pipeline itself. That means it can: • Listen to speech • Understand the conversation • Generate a response • Speak back naturally All inside one model. So instead of: STT + LLM + TTS You can build a voice AI receptionist with just one API (Gemini). This makes the system: • Much simpler • Cheaper to run • Faster to build I built a small open-source system around this idea so anyone can test it. You can check the repo here: GitHub: https://github.com/devloperkrishnaaggarwal/GeminiToCall Inside the repo you'll find: • The full working setup • How the Gemini voice pipeline works • Code you can modify for your own projects or clients If anyone here is experimenting with voice agents, AI receptionists, or automation for businesses, this might be useful for you. If anyone need help in installation of this agent then let me know

A while back I shared a Voice AI agent running at $0.03/min. The community gave a good response to it. So I kept building. It's now under $0.02/min. And it's live. Quick breakdown of what this agent does: Handles real-time voice conversations Stable enough for actual deployment (not just demos) Built so small teams & solo founders can actually easily afford to ship Why does this matter? Most voice AI platforms charge $0.10–$0.25 per minute. That adds up FAST in production. At under 2 cents/min, the math finally works — even at low volume. Here is a demo too :