Krishna Agrawal
@Krishnasagrawal
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📢 Sharing AI Tools, Web Devs & Tech Tips · 🚀 100K @LinkedIn · 💻 MERN Stack Dev · 🤖 AI Enthusiast · 💼 Open to Freelance & Collabs · 🛠 Building AI Agents
San Francisco, CA, USA
Joined November 2023
Scraping Amazon is usually a ton of work -but today I made it effortless. I pointed Oxylabs’ AI Scraper at a single Amazon product page and asked for just four fields: type, price, rating, availability. No selectors. No HTML digging. No fighting Amazon’s anti-bot system. Just
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This automates a very specific and creative human skill.
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The results are consistent and ready for a pitch deck.
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You get the establishing shot and all the coverage shots.
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It generates all the essential camera angles for you.
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This is a huge problem. The new Higgsfield Shots tool is too good at its job. It can create a perfect storyboard from a single frame. Professional storyboard artists should be very worried. @higgsfield_ai
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I'm upgrading now because the clock is ticking.
When will your job get disrupted? We surveyed up to 11,000 S&P500 professionals. Collaborated with professors teaching at Times500 universities. The results are mind-blowing. To find out, take our quiz on https://t.co/dPqXSuxgH4. You decide - one day or day one. 67% off.
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SQL Guide 📚📘 #sql
🚀AI agents don’t just need models they need context, memory, and observability. That’s why Acontext introduces a structured Store → Observe → Learn system to make agents more reliable and adaptive. @acontext_io
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AI Agent, RPA or API Based Automation 📚📘
🚀AI agents don’t just need models they need context, memory, and observability. That’s why Acontext introduces a structured Store → Observe → Learn system to make agents more reliable and adaptive. @acontext_io
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12 AI tools you need ✅️📚
🚀AI agents don’t just need models they need context, memory, and observability. That’s why Acontext introduces a structured Store → Observe → Learn system to make agents more reliable and adaptive. @acontext_io
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🚀AI agents don’t just need models they need context, memory, and observability. That’s why Acontext introduces a structured Store → Observe → Learn system to make agents more reliable and adaptive. @acontext_io
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AI Agent, RPA or API Based Automation 📚📘
🚀AI agents don’t just need models they need context, memory, and observability. That’s why Acontext introduces a structured Store → Observe → Learn system to make agents more reliable and adaptive. @acontext_io
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12 AI tools you need ✅️📚
🚀AI agents don’t just need models they need context, memory, and observability. That’s why Acontext introduces a structured Store → Observe → Learn system to make agents more reliable and adaptive. @acontext_io
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When AI brings Kobe back to life, we’ll realize that legends don’t fade — they evolve with every new generation of technology.
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The ImagineArt AI Music Generator is LIVE. 🎧🔥 You can now create original music across ALL genres, from Trap to Classical to Deep House. Follow + Reply + RT and 5 people will get 500 credits.
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If you’re building agents for research, workflows, autonomous tasks, RAG, or customer support — this will matter. 📘 Docs: https://t.co/64SOPm9Fy0 💬 Discord: https://t.co/jZkuaGqdJW ⭐ GitHub:
github.com
Context Data Platform for Agents. Join the community❤️: https://discord.acontext.io - memodb-io/Acontext
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It feels like a database + observability layer + skill engine — built specifically for agents. Your agents don’t just store outcomes… They get better.
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What impressed me most from an engineering standpoint: • Context storage for messages, sessions, tools & artifacts • Real-time trace engine • Automatic experience learning (no manual skill crafting) • Clean SDKs • Genuinely production-ready
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