Naroka | AI & Automation Architect's profile on Product Hunt

About

AI & Automation Architect | Founder of narOka Automation Studios I build high-density autonomous systems that bridge the gap between complex logic and real-world execution. Known for pushing the limits of n8n—including my latest 1,500+ node framework for brand protection. My mission is to help companies transition from reactive tasks to proactive, agent-driven orchestration. Expert in n8n, AI-agent deployment, and building "fortress-level" reputation systems. Let’s discuss the future of digital workforces and autonomous agents. 🛡️⚙️

Links

Github

Gumroad

Twitter

Badges

Gemologist

Tastemaker

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Maker History

Reputation Sentinel OS v3.0Autonomous brand defense against AI disinformation
May 2026
AI Feedback FlowAutonomous AI Customer Service Department with Deep Memory
May 2026
Ghost-Recruiter - AI-Resume-ScreeningGhost-Recruiter - AI-Resume-Screening
May 2026
Automated Post Publishing to X (Twitter)Automate generating and publishing AI content to X
May 2026
CryptoMind AI LiteFree AI-powered crypto asset tracker & alerts
May 2026

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Joined Product HuntMay 4th, 2026

Forums

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1mo ago

Reputation Sentinel OS v3.0 - Autonomous brand defense against AI disinformation

Stop renting your brand safety. Sentinel OS v3.0 is a high-density n8n architecture (1,500+ nodes) that automates 80% of reputation management labor. 🛡️ Key features: Cognitive AI Orchestration (Multi-agent brain) Sentinel Shield: Deepfake & bot attack neutralization Blockchain Action Ledger: Immutable audit trails Phoenix Protocol: 15-minute disaster recovery Replace $490k in annual human overhead with one architectural asset. Own the fortress.

p/ai-feedback-flow

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2mo ago

How are you handling customer feedback scale in 2026?

I ve spent the last few months building AI Feedback Flow at Naroka Automation Studios, focusing on a major pain point: the "information noise" of manual feedback management.

While working on this, I realized that simple automation isn't enough anymore systems need "institutional memory" to provide real value. Our architecture uses a Deep Memory Module to track interaction history via email, ensuring the AI behaves like a manager who actually knows the client.

I d love to hear from the community:

How do you currently balance speed and personalization in your support workflows?
What are the biggest challenges you face when integrating AI into your existing customer experience stack?
Do you prefer fully autonomous responses or a "Human-in-the-loop" approach like our Telegram toolkit?

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2mo ago

AI Feedback Flow - Autonomous AI Customer Service Department with Deep Memory

AI Feedback Flow by Naroka Automation Studios is a revolution in reputation management. This autonomous ecosystem uses Gemini AI and n8n to analyze feedback in real-time, recognize returning customers via Deep Memory Architecture, and reclaim up to 85% of your support team's time. It doesn't just monitor—it understands context, captures hidden sentiment, and provides ready-to-use response drafts instantly via Telegram.