We handle your ads, content, funnels, and growth strategy. So you can focus on running your business. Zero guesswork, just results. DM me to avail my services

Startup: ORIVO AI (BOOTSTRAP) 🧠 Building Voice & Chat AI Agents for the Customer Care Industry Hey everyone, I'm looking for a technical co-founder who lives and breathes AI automation, LLMs, and no-code tools like n8n, Supabase, Retell, etc., and ideally has strong foundations in Python, web/app dev, and API orchestration. What I bring: 📈 I'm focused full-time on marketing, growth, and sales. I’ve already started validating with clients in e-commerce, hospitality, and SMBs. 💼 I’ll bring the deals, the pitch, and the partnerships - you bring the product to life. The vision is clear: ✨ Build an AI company grounded in trust, systems thinking, and real user outcomes. ⚙️ We’re not just hacking together tools - we’re creating end-to-end AI assistants that replace old-school support centers with 24/7 intelligent systems. 🤝 Equity split - this is a partnership, not a hire. 🔥 Whether you're a seasoned dev or a self-made builder with strong AI automation projects - DM me with your experience or GitHub/Makerpad/Buildspace projects. Let’s create something worth remembering. ORIVO AI is just getting started- let’s build it the right way. hashtag#aistartup hashtag#startup hashtag#cofounder hashtag#cto hashtag#techpartner

The ₹5000 Smartwatch Dilemma That’s Costing Brands Millions 💸 Customer lands on your site → sees 6 models → gets confused → leaves. You're not losing traffic — you're losing clarity. So I built something to fix this: 🧠 Voice AI Sales Assistant A smart voice agent that actually talks to customers — on-site or by phone. Example: 🗣️ “I need a smartwatch under ₹5000 for fitness.” → AI asks follow-ups → Recommends the right model → Explains differences ("Pro 5 vs Fit Lite") → Guides them to buy 📈 Results: ✅ 20–30% higher engagement ✅ Less cart abandonment ✅ Boosted sales on higher-end products ✅ 24/7 voice support — no team required It started as a solution to a simple problem: too many choices, not enough clarity. Now it's turning browsers into buyers — even late at night. 🎥 Watch Demo: https://youtu.be/qrfm9-Nridg?si=cKWTzIeDFTGd573t 📩 DM me “VOICE SALES” to explore how this could work for your brand.

We’re a duo of fast-learning, solution-oriented partners who specialize in automation, lead systems, AI integrations, voice agents & funnel setup for businesses. Whether you're drowning in delivery or need someone reliable to handle the backend—we got you. We move fast, stay sharp, and use industry-grade tools to help you deliver results that matter. ✅ We’ve built automations, funnels, AI voice agents, WhatsApp bots & CRM workflows. ✅ We’re fast learners, proactive, and always focused on results. ✅ Portfolio available – just ask. If you're: 👉 overwhelmed with delivery 👉 Just starting out and need support 👉 or want a solid backend team to scale... ⚙️💼Drop a comment or DM if you need support, help, or done-for-you systems. Let’s get your pipeline running smoothly.

Here’s the summary of the technical details about Kimi K2 from Moonshot AI 📐 Architecture & Parameters - Mixture-of-Experts (MoE) architecture with 1 trillion total parameters, 32 billion active per token. - Features 384 experts, 8 active per token + 1 general expert. - 61 layers and 64 attention heads. - Uses SwiGLU activation functions. 🎯 Muon Optimizer / MuonClip - Employs Muon optimizer with MuonClip and “qk‑clip” to stabilize large-scale attention. - Trained on 15.5 trillion tokens, achieving 2× efficiency and 50% less memory usage. 🧠 Context Window - Supports a 128,000-token context window (~150–200 pages). 📊 Performance & Benchmarks - SWE‑bench (software engineering): 65.8% Pass@1. - LiveCodeBench: 53.7% Pass@1. - MATH‑500: 97.4% accuracy. - MMLU (language understanding): 89.5%. - Tau2 retail tasks: 70.6% Avg@4. - Also performed strongly in ZebraLogic, GPQA, etc. 🤖 Agentic Capabilities - Designed for agentic AI, with multi-step workflows and tool orchestration. - Trained using Large-Scale Agentic Data Synthesis, RL, and self-critique. ⚙️ Deployment & APIs - Available as Kimi‑K2‑Base (pre-trained) and Kimi‑K2‑Instruct (fine-tuned for chat/general use). - Context limits: - Estimated speed: ~200 tokens per second (Groq Cloud). - Accessible via Groq Cloud, SiliconFlow, OpenRouter, Together AI. 💾 Licensing & Open Source - Open weights and code under modified MIT license (requires citation “Kimi K2” for commercial use). - Can run locally (~1 TB weights) or in the cloud. 🧩 Advanced Features - Mooncake service: disaggregated KV‑Cache architecture for high throughput on long contexts. - Compatible with VS Code, Cline, Roo Code. - No native multimodal support (no Kimi‑VL or Kimi‑Audio yet).